Enhong Chen

Orcid: 0000-0002-4835-4102

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
  • University of Science and Technology of China, School of Data Science, Hefei, China


According to our database1, Enhong Chen authored at least 796 papers between 1999 and 2024.

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Bibliography

2024
Adversarial Attack and Defense on Discrete Time Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., December, 2024

Training Recommenders Over Large Item Corpus With Importance Sampling.
IEEE Trans. Knowl. Data Eng., December, 2024

Large language models for generative information extraction: a survey.
Frontiers Comput. Sci., December, 2024

A general tail item representation enhancement framework for sequential recommendation.
Frontiers Comput. Sci., December, 2024

Event Assignment Based on KBQA for Government Service Hotlines.
Appl. Artif. Intell., December, 2024

Caption matters: a new perspective for knowledge-based visual question answering.
Knowl. Inf. Syst., November, 2024

Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., October, 2024

Description-Enhanced Label Embedding Contrastive Learning for Text Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A survey on large language models for recommendation.
World Wide Web (WWW), September, 2024

Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

InteractNet: Social Interaction Recognition for Semantic-rich Videos.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Attacking Social Media via Behavior Poisoning.
ACM Trans. Knowl. Discov. Data, August, 2024

When large language models meet personalization: perspectives of challenges and opportunities.
World Wide Web (WWW), July, 2024

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
ACM Trans. Inf. Syst., July, 2024

Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements.
ACM Trans. Intell. Syst. Technol., June, 2024

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Boosting Factorization Machines via Saliency-Guided Mixup.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion.
ACM Trans. Web, May, 2024

Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

A relation-aware representation approach for the question matching system.
World Wide Web (WWW), March, 2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
ACM Trans. Inf. Syst., March, 2024

Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis.
Inf. Fusion, March, 2024

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data, February, 2024

Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding.
IEEE Trans. Multim., 2024

Color Enhanced Cross Correlation Net for Image Sentiment Analysis.
IEEE Trans. Multim., 2024

Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing.
IEEE Trans. Learn. Technol., 2024

A Survey of Knowledge Tracing: Models, Variants, and Applications.
IEEE Trans. Learn. Technol., 2024

DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition.
IEEE Trans. Affect. Comput., 2024

MLC-DKT: A multi-layer context-aware deep knowledge tracing model.
Knowl. Based Syst., 2024

IODRNN - Incremental output decomposition for a valid traffic flow prediction with GNSS data.
Eng. Appl. Artif. Intell., 2024

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.
CoRR, 2024

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.
CoRR, 2024

Learning Recommender Systems with Soft Target: A Decoupled Perspective.
CoRR, 2024

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.
CoRR, 2024

Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents.
CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.
CoRR, 2024

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.
CoRR, 2024

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.
CoRR, 2024

Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM.
CoRR, 2024

ToolACE: Winning the Points of LLM Function Calling.
CoRR, 2024

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation.
CoRR, 2024

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.
CoRR, 2024

Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method.
CoRR, 2024

Analytical and Empirical Study of Herding Effects in Recommendation Systems.
CoRR, 2024

Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities.
CoRR, 2024

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
CoRR, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR, 2024

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.
CoRR, 2024

Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.
CoRR, 2024

Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR, 2024

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.
CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.
CoRR, 2024

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.
CoRR, 2024

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation.
CoRR, 2024

EduNLP: Towards a Unified and Modularized Library for Educational Resources.
CoRR, 2024

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CoRR, 2024

Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems.
CoRR, 2024

NoteLLM-2: Multimodal Large Representation Models for Recommendation.
CoRR, 2024

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.
CoRR, 2024

Knowledge Graph Pruning for Recommendation.
CoRR, 2024

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation.
CoRR, 2024

Understanding Privacy Risks of Embeddings Induced by Large Language Models.
CoRR, 2024

WESE: Weak Exploration to Strong Exploitation for LLM Agents.
CoRR, 2024

Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
CoRR, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Editing Knowledge Representation of Language Lodel via Rephrased Prefix Prompts.
CoRR, 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.
CoRR, 2024

Towards Generalist Prompting for Large Language Models by Mental Models.
CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR, 2024

Communication-Efficient Distributed Learning with Local Immediate Error Compensation.
CoRR, 2024

Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement.
CoRR, 2024

Understanding the planning of LLM agents: A survey.
CoRR, 2024

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.
CoRR, 2024

Masked Pre-trained Model Enables Universal Zero-shot Denoiser.
CoRR, 2024

Understanding and improving fairness in cognitive diagnosis.
Sci. China Inf. Sci., 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Unified Uncertainty Estimation for Cognitive Diagnosis Models.
Proceedings of the ACM on Web Conference 2024, 2024

Large Language Model based Long-tail Query Rewriting in Taobao Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering.
Proceedings of the ACM on Web Conference 2024, 2024

Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing.
Proceedings of the ACM on Web Conference 2024, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Graph-based Student Knowledge Profile for Online Intelligent Education.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

H2LMER: A Cross Frame-Rate Representation Alignment Framework for Micro-expression Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Dataset Regeneration for Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

When Box Meets Graph Neural Network in Tag-aware Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Pre-training General User Representation with Multi-type APP Behaviors.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring?
Proceedings of the Intelligent Information Processing XII, 2024

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Locating and Mitigating Gender Bias in Large Language Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

In-Context Former: Lightning-fast Compressing Context for Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Explainable Computerized Adaptive Testing with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Visualization Recommendation with Prompt-based Reprogramming of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generative Input: Towards Next-Generation Input Methods Paradigm.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Markov-Driven Graph Convolutional Networks for Social Spammer Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

Competition Analysis on Enterprise Ecosystems via Multiview Relational Hypergraph Embedding.
IEEE Trans. Comput. Soc. Syst., December, 2023

A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.
J. Comput. Sci. Technol., December, 2023

Securing recommender system via cooperative training.
World Wide Web (WWW), November, 2023

Entity Summarization via Exploiting Description Complementarity and Salience.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

TechPat: Technical Phrase Extraction for Patent Mining.
ACM Trans. Knowl. Discov. Data, November, 2023

An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst., October, 2023

Influence-Driven Data Poisoning for Robust Recommender Systems.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Communication-efficient federated learning with stagewise training strategy.
Neural Networks, October, 2023

Model Inversion Attacks Against Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

HmcNet: A General Approach for Hierarchical Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

HMNet: a hierarchical multi-modal network for educational video concept prediction.
Int. J. Mach. Learn. Cybern., September, 2023

NeuralCD: A General Framework for Cognitive Diagnosis.
IEEE Trans. Knowl. Data Eng., August, 2023

Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing.
IEEE Trans. Knowl. Data Eng., August, 2023

Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023

Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective.
IEEE Trans. Learn. Technol., June, 2023

Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng., June, 2023

Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng., May, 2023

Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng., May, 2023

A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Federated User Modeling from Hierarchical Information.
ACM Trans. Inf. Syst., April, 2023

Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst., April, 2023

A generalized multi-skill aggregation method for cognitive diagnosis.
World Wide Web (WWW), March, 2023

Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst., January, 2023

Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023

PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation.
ACM Trans. Multim. Comput. Commun. Appl., 2023

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2023

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data, 2023

Deep Multi-Exposure Image Fusion for Dynamic Scenes.
IEEE Trans. Image Process., 2023

Single Image Dehazing Using Saturation Line Prior.
IEEE Trans. Image Process., 2023

Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Vehicle color recognition based on smooth modulation neural network with multi-scale feature fusion.
Frontiers Comput. Sci., 2023

Large Language Models for Generative Information Extraction: A Survey.
CoRR, 2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR, 2023

Model Stealing Attack against Recommender System.
CoRR, 2023

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity.
CoRR, 2023

Generative Input: Towards Next-Generation Input Methods Paradigm.
CoRR, 2023

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.
CoRR, 2023

Woodpecker: Hallucination Correction for Multimodal Large Language Models.
CoRR, 2023

Large-Scale OD Matrix Estimation with A Deep Learning Method.
CoRR, 2023

Interactive Graph Convolutional Filtering.
CoRR, 2023

Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance.
CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
CoRR, 2023

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR, 2023

A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence.
CoRR, 2023

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference.
CoRR, 2023

A Survey on Multimodal Large Language Models.
CoRR, 2023

A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design.
CoRR, 2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.
CoRR, 2023

An Equivariant Generative Framework for Molecular Graph-Structure Co-Design.
CoRR, 2023

Quiz-based Knowledge Tracing.
CoRR, 2023

AU-aware graph convolutional network for Macro- and Micro-expression spotting.
CoRR, 2023

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
CoRR, 2023

A Novel Approach for Auto-Formulation of Optimization Problems.
CoRR, 2023

More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates.
CoRR, 2023

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.
Proceedings of the ACM Web Conference 2023, 2023

Differentiable Optimized Product Quantization and Beyond.
Proceedings of the ACM Web Conference 2023, 2023

Cooperative Retriever and Ranker in Deep Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction.
Proceedings of the ACM Web Conference 2023, 2023

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
Proceedings of the ACM Web Conference 2023, 2023

Membership Inference Attacks Against Sequential Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RecStudio: Towards a Highly-Modularized Recommender System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning from Crowds with Annotation Reliability.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Bounded Ability Estimation for Computerized Adaptive Testing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Distillation for High Dimensional Search Index.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

STAN: Spatial-Temporal Awareness Network for Temporal Action Detection.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

Are GPT Embeddings Useful for Ads and Recommendation?
Proceedings of the Knowledge Science, Engineering and Management, 2023

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Behavior-oriented Knowledge Tracing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Grained Multimodal Interaction Network for Entity Linking.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Temporal Relationship Inference in Urban Areas.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Exploiting Non-Interactive Exercises in Cognitive Diagnosis.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

AU-aware graph convolutional network for Macroand Micro-expression spotting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Social Context-aware GCN for Video Character Search via Scene-prior Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Federated Nearest Neighbor Machine Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning.
Proceedings of the Database Systems for Advanced Applications, 2023

Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.
Proceedings of the Database Systems for Advanced Applications, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning.
Proceedings of the 2023 4th International Conference on Computing, 2023

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Search-Efficient Computerized Adaptive Testing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Hierarchical Text Classification through Knowledge Graph Integration.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Query-Aware Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.
ACM Trans. Inf. Syst., 2022

Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst., 2022

Social Context-aware Person Search in Videos via Multi-modal Cues.
ACM Trans. Inf. Syst., 2022

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022

Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Semisupervised Semantic Segmentation by Improving Prediction Confidence.
IEEE Trans. Neural Networks Learn. Syst., 2022

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control.
IEEE Trans. Mob. Comput., 2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2022

Ranking-Based Implicit Regularization for One-Class Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2022

D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data.
IEEE Trans. Intell. Transp. Syst., 2022

A Universal Self-Correcting Approach for Abnormal Jump Errors in Absolute Phase Retrieval.
IEEE Trans. Instrum. Meas., 2022

Quasi-Periodic Phase Coding for Long-Depth-Range 3-D Measurements of Moving Objects.
IEEE Trans. Instrum. Meas., 2022

Understanding the Users and Videos by Mining a Novel Danmu Dataset.
IEEE Trans. Big Data, 2022

Neurally-Guided Semantic Navigation in Knowledge Graph.
IEEE Trans. Big Data, 2022

How to Protect Ourselves From Overlapping Community Detection in Social Networks.
IEEE Trans. Big Data, 2022

Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction.
IEEE Trans. Affect. Comput., 2022

Estimating fund-raising performance for start-up projects from a market graph perspective.
Pattern Recognit., 2022

Residual objectness for imbalance reduction.
Pattern Recognit., 2022

ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition.
Neural Networks, 2022

Graph-based cognitive diagnosis for intelligent tutoring systems.
Knowl. Based Syst., 2022

Community hiding using a graph autoencoder.
Knowl. Based Syst., 2022

Complex Attributed Network Embedding for medical complication prediction.
Knowl. Inf. Syst., 2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.
Knowl. Inf. Syst., 2022

Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm.
J. Comput. Sci. Technol., 2022

Hiding ourselves from community detection through genetic algorithms.
Inf. Sci., 2022

An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices.
Inf. Sci., 2022

Preface to the Special Issue on Robust Machine Learning for Open Scenarios.
Int. J. Softw. Informatics, 2022

Video emotion analysis enhanced by recognizing emotion in video comments.
Int. J. Data Sci. Anal., 2022

Accelerating local SGD for non-IID data using variance reduction.
Frontiers Comput. Sci., 2022

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach.
CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Recommenders for Implicit Feedback with Importance Resampling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AdaptKT: A Domain Adaptable Method for Knowledge Tracing.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Robust Recommender Systems via Triple Cooperative Defense.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forest-based Deep Recommender.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Implicit Alternating Least Squares with Ring-based Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

DARE: Disentanglement-Augmented Rationale Extraction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Recommender Forest for Efficient Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Low-Quality itDanMu Detection via Eye-Tracking Patterns.
Proceedings of the Knowledge Science, Engineering and Management, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Incremental Cognitive Diagnosis for Intelligent Education.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-modal Siamese Network for Entity Alignment.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Visual-Enhanced End-to-End Neural Diarization.
Proceedings of the IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18, 2022

Text Classification via Learning Semantic Dependency and Association.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Relational Graph Convolution Network for Stock Movement Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

AVT: Au-Assisted Visual Transformer for Facial Expression Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers.
Proceedings of the IEEE International Conference on Data Mining, 2022

One Person, One Model - Learning Compound Router for Sequential Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Non-Parametric Domain Adaptation for End-to-End Speech Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Dynamic Clustering Federated Learning for Non-IID Data.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Multimodal Representation Learning-Based Product Matching.
Proceedings of the CCKS 2022 - Evaluation Track, 2022

Dialogue-enriched Knowledge Point Recommendation for Consultation Task.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Anisotropic Additive Quantization for Fast Inner Product Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Constructing dummy query sequences to protect location privacy and query privacy in location-based services.
World Wide Web, 2021

Patent2Vec: Multi-view representation learning on patent-graphs for patent classification.
World Wide Web, 2021

Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Socializing the Videos: A Multimodal Approach for Social Relation Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst., 2021

EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.
IEEE Trans. Knowl. Data Eng., 2021

Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021

Discrete Matrix Factorization and Extension for Fast Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling.
ACM Trans. Intell. Syst. Technol., 2021

Is Heuristic Sampling Necessary in Training Deep Object Detectors?
IEEE Trans. Image Process., 2021

Joint Coding Strategy of the Phase Domain and Intensity Domain for Absolute Phase Retrieval.
IEEE Trans. Instrum. Meas., 2021

Automatic 3-D Measurement Method for Nonuniform Moving Objects.
IEEE Trans. Instrum. Meas., 2021

DOF: A Demand-Oriented Framework for Image Denoising.
IEEE Trans. Ind. Informatics, 2021

Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

ICSTrace: A Malicious IP Traceback Model for Attacking Data of the Industrial Control System.
Secur. Commun. Networks, 2021

Semi-supervised multi-Layer convolution kernel learning in credit evaluation.
Pattern Recognit., 2021

Research on grain storage temperature prediction model based on improved long short-term memory.
J. Comput. Methods Sci. Eng., 2021

Multiple graph kernel learning based on GMDH-type neural network.
Inf. Fusion, 2021

A two-stage 3D CNN based learning method for spontaneous micro-expression recognition.
Neurocomputing, 2021

Detecting evolutionary stages of events on social media: A graph-kernel-based approach.
Future Gener. Comput. Syst., 2021

Heterogeneous-attributes enhancement deep framework for network embedding.
Frontiers Comput. Sci., 2021

Online Allocation with Two-sided Resource Constraints.
CoRR, 2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction.
CoRR, 2021

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching.
CoRR, 2021

A Survey of Knowledge Tracing.
CoRR, 2021

Towards Variable-Length Textual Adversarial Attacks.
CoRR, 2021

Drug Package Recommendation via Interaction-aware Graph Induction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Hierarchical Personalized Federated Learning for User Modeling.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
Proceedings of the WSDM '21, 2021

Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

xLightFM: Extremely Memory-Efficient Factorization Machine.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Urban Crowd Density Prediction Based on Multi-relational Graph.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Process-consistent Knowledge Tracing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Online Additive Quantization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DisenQNet: Disentangled Representation Learning for Educational Questions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph.
Proceedings of the International Joint Conference on Neural Networks, 2021

GraphMI: Extracting Private Graph Data from Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2021

STAN: Adversarial Network for Cross-domain Question Difficulty Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
Proceedings of the IEEE International Conference on Data Mining, 2021

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2021

Cross Attention Augmented Transducer Networks for Simultaneous Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning the Implicit Semantic Representation on Graph-Structured Data.
Proceedings of the Database Systems for Advanced Applications, 2021

Unpaired Multimodal Neural Machine Translation via Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2021

Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis.
Proceedings of the Database Systems for Advanced Applications, 2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Knowledge Powered Cooperative Semantic Fusion for Patent Classification.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Matching of social events and users: a two-way selection perspective.
World Wide Web, 2020

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services.
IEEE Trans. Veh. Technol., 2020

Maximum a Posteriori Estimation for Information Source Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.
ACM Trans. Inf. Syst., 2020

Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.
ACM Trans. Inf. Syst., 2020

Character-Oriented Video Summarization With Visual and Textual Cues.
IEEE Trans. Multim., 2020

Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks.
IEEE Trans. Mob. Comput., 2020

Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding.
IEEE Trans. Knowl. Data Eng., 2020

Pop Music Generation: From Melody to Multi-style Arrangement.
ACM Trans. Knowl. Discov. Data, 2020

Product Supply Optimization for Crowdfunding Campaigns.
IEEE Trans. Big Data, 2020

Personalized Query Auto-Completion for Large-Scale POI Search at Baidu Maps.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.
Pattern Recognit., 2020

A multiscale dilated residual network for image denoising.
Multim. Tools Appl., 2020

A dummy-based user privacy protection approach for text information retrieval.
Knowl. Based Syst., 2020

A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry.
Knowl. Based Syst., 2020

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation.
J. Comput. Sci. Technol., 2020

Combining contextual neural networks for time series classification.
Neurocomputing, 2020

The Propagation Background in Social Networks: Simulating and Modeling.
Int. J. Autom. Comput., 2020

Adam revisited: a weighted past gradients perspective.
Frontiers Comput. Sci., 2020

Leveraging proficiency and preference for online Karaoke recommendation.
Frontiers Comput. Sci., 2020

Zero-pole cancellation for identity-based aggregators: a constant-size designated verifier-set signature.
Frontiers Comput. Sci., 2020

R<sup>2</sup>-Net: Relation of Relation Learning Network for Sentence Semantic Matching.
CoRR, 2020

Neural Architecture Search with GBDT.
CoRR, 2020

Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking.
CoRR, 2020

A Dynamic and Cooperative Tracking System for Crowdfunding.
CoRR, 2020

Domain Adaption for Knowledge Tracing.
CoRR, 2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Personalized Employee Training Course Recommendation with Career Development Awareness.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

LightRec: A Memory and Search-Efficient Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Personalized Ranking with Importance Sampling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Neural Mathematical Solver with Enhanced Formula Structure.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Semi-Supervised Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sampling-Decomposable Generative Adversarial Recommender.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Incorporating BERT into Parallel Sequence Decoding with Adapters.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning from Macro-expression: a Micro-expression Recognition Framework.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

MMEA: Entity Alignment for Multi-modal Knowledge Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Geography-Aware Sequential Location Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Explainable Conversational Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Structure-based Knowledge Tracing: An Influence Propagation View.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Technical Phrase Extraction for Patent Mining: A Multi-level Approach.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Author Contributed Representation for Scholarly Network.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Predicting Human Mobility with Self-attention and Feature Interaction.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neural Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Variational Point Process Model for Social Event Sequences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation.
IEEE Trans. Knowl. Data Eng., 2019

Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data.
IEEE Trans. Knowl. Data Eng., 2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Mixed-Bandwidth Cross-Channel Speech Recognition via Joint Optimization of DNN-Based Bandwidth Expansion and Acoustic Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Finding Theme Communities from Database Networks.
Proc. VLDB Endow., 2019

Novel multi-convolutional neural network fusion approach for smile recognition.
Multim. Tools Appl., 2019

Understanding the mechanism of social tie in the propagation process of social network with communication channel.
Frontiers Comput. Sci., 2019

A Structure-Enriched Neural Network for network embedding.
Expert Syst. Appl., 2019

Variance Reduced Local SGD with Lower Communication Complexity.
CoRR, 2019

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR, 2019

Long-term Joint Scheduling for Urban Traffic.
CoRR, 2019

Understanding and Improving One-shot Neural Architecture Optimization.
CoRR, 2019

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control.
CoRR, 2019

Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems.
CoRR, 2019

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View.
CoRR, 2019

Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison.
IEEE Access, 2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?
Proceedings of the World Wide Web Conference, 2019

Context-Aware Dual-Attention Network for Natural Language Inference.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Neural Response Generation with Relevant Emotions for Short Text Conversation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Efficient Pure Exploration in Adaptive Round model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

QuesNet: A Unified Representation for Heterogeneous Test Questions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Exploiting Cognitive Structure for Adaptive Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Trend-Aware Tensor Factorization for Job Skill Demand Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Co-Attentive Multi-Task Learning for Explainable Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.
Proceedings of the 7th International Conference on Learning Representations, 2019

Aftershock Detection with Multi-scale Description Based Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Technology Tracing for High-Tech Companies.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains.
Proceedings of the Database Systems for Advanced Applications, 2019

Exploring Multi-Objective Exercise Recommendations in Online Education Systems.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Tracking Top-k Influential Users with Relative Errors.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Budgeted Policy Learning for Task-Oriented Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Influence Maximization Model.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

An effective approach for the protection of privacy text data in the CloudDB.
World Wide Web, 2018

Exploring the Emerging Type of Comment for Online Videos: <i>DanMu</i>.
ACM Trans. Web, 2018

A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.
IEEE Trans. Serv. Comput., 2018

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018

Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis.
IEEE Trans. Mob. Comput., 2018

Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng., 2018

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol., 2018

Speed scaling problems with memory/cache consideration.
J. Sched., 2018

Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol., 2018

Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci., 2018

Study on Information Diffusion Analysis in Social Networks and Its Applications.
Int. J. Autom. Comput., 2018

An approach for the protection of users' book browsing preference privacy in a digital library.
Electron. Libr., 2018

Style Transfer as Unsupervised Machine Translation.
CoRR, 2018

Regularizing Neural Machine Translation by Target-bidirectional Agreement.
CoRR, 2018

Explainable Social Contextual Image Recommendation with Hierarchical Attention.
CoRR, 2018

Tracking Top-K Influential Vertices in Dynamic Networks.
CoRR, 2018

SPINE: Structural Identity Preserved Inductive Network Embedding.
CoRR, 2018

Security Control Redundancy Allocation Technology and Security Keys Based on Internet of Things.
IEEE Access, 2018

Lifecycle-Based Event Detection from Microblogs.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Facial Expression Recognition via Broad Learning System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Maximizing the Effect of Information Adoption: A General Framework.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Multi-Path Transport for RDMA in Datacenters.
Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

Coarse-To-Fine Learning for Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Neural Architecture Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understand and Assess People's Procrastination by Mining Computer Usage Log.
Proceedings of the Knowledge Science, Engineering and Management, 2018

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Finding Similar Exercises in Online Education Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Method of Improving Performance of Measurement Accuracy for GNSS Receiver Under Dynamic Scenarios.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

SADAGRAD: Strongly Adaptive Stochastic Gradient Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

Zero-Shot Learning: An Energy Based Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.
Proceedings of the IEEE International Conference on Data Mining, 2018

A United Approach to Learning Sparse Attributed Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Density Contrast Subgraphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Improving Neural Machine Translation with Neural Sentence Rewriting.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018

EventSys: Tracking Event Evolution on Microblogging Platforms.
Proceedings of the Database Systems for Advanced Applications, 2018

Patent Quality Valuation with Deep Learning Models.
Proceedings of the Database Systems for Advanced Applications, 2018

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.
Proceedings of the Database Systems for Advanced Applications, 2018

Bidirectional Generative Adversarial Networks for Neural Machine Translation.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Joint Training for Neural Machine Translation Models with Monolingual Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Confidence-Aware Matrix Factorization for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discerning individual interests and shared interests for social user profiling.
World Wide Web, 2017

Progressive Pseudo-analog Transmission for Mobile Video Streaming.
IEEE Trans. Multim., 2017

Tracking Influential Individuals in Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2017

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.
IEEE Trans. Knowl. Data Eng., 2017

Activity Maximization by Effective Information Diffusion in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

An Influence Propagation View of PageRank.
ACM Trans. Knowl. Discov. Data, 2017

P2P Lending Survey: Platforms, Recent Advances and Prospects.
ACM Trans. Intell. Syst. Technol., 2017

Robust Spammer Detection in Microblogs: Leveraging User Carefulness.
ACM Trans. Intell. Syst. Technol., 2017

Stylus: A Strongly-Typed Store for Serving Massive RDF Data.
Proc. VLDB Endow., 2017

An efficient Wikipedia semantic matching approach to text document classification.
Inf. Sci., 2017

Efficient karaoke song recommendation via multiple kernel learning approximation.
Neurocomputing, 2017

A topic modeling based approach to novel document automatic summarization.
Expert Syst. Appl., 2017

Generalized Neural Graph Embedding with Matrix Factorization.
CoRR, 2017

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.
CoRR, 2017

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Towards A Contextual and Scalable Automated-testing Service for Mobile Apps.
Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017

KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC.
Proceedings of the 26th Symposium on Operating Systems Principles, 2017

A Markov Chain Monte Carlo Approach for Source Detection in Networks.
Proceedings of the Social Media Processing - 6th National Conference, 2017

Solving link-oriented tasks in signed network via an embedding approach.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Tracking the Dynamics in Crowdfunding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Systematically testing background services of mobile apps.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

One more queue is enough: Minimizing flow completion time with explicit priority notification.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

S7commTrace: A High Interactive Honeypot for Industrial Control System Based on S7 Protocol.
Proceedings of the Information and Communications Security - 19th International Conference, 2017

Incorporating Spatio-Temporal Smoothness for Air Quality Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Stack-based Multi-layer Attention for Transition-based Dependency Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering.
Proceedings of the Database Systems for Advanced Applications, 2017

Social User Profiling: A Social-Aware Topic Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2017

An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter.
Proceedings of the First Asia-Pacific Workshop on Networking, 2017

A Context-Enriched Neural Network Method for Recognizing Lexical Entailment.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Question Difficulty Prediction for READING Problems in Standard Tests.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.
ACM Trans. Web, 2016

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM Trans. Intell. Syst. Technol., 2016

Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst., 2016

Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph.
J. Comput. Sci. Technol., 2016

Revisiting bound estimation of pattern measures: A generic framework.
Inf. Sci., 2016

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification.
Frontiers Comput. Sci., 2016

Tracking Influential Nodes in Dynamic Networks.
CoRR, 2016

Activity Maximization by Effective Information Diffusion in Social Networks.
CoRR, 2016

Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016

Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Portfolio Selections in P2P Lending: A Multi-Objective Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Finding Gangs in War from Signed Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Group Preference Aggregation: A Nash Equilibrium Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Selecting Valuable Customers for Merchants in E-Commerce Platforms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Sparse Factorization Machines for Click-through Rate Prediction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A contextual collaborative approach for app usage forecasting.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View.
Proceedings of the Database Systems for Advanced Applications, 2016

Chinese Poetry Generation with Planning based Neural Network.
Proceedings of the COLING 2016, 2016

Tradeoffs between density and size in extracting dense subgraphs: A unified framework.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs.
ACM Trans. Storage, 2015

Discovery of Ranking Fraud for Mobile Apps.
IEEE Trans. Knowl. Data Eng., 2015

Occupancy-Based Frequent Pattern Mining<sup>*</sup>.
ACM Trans. Knowl. Discov. Data, 2015

Popularity Modeling for Mobile Apps: A Sequential Approach.
IEEE Trans. Cybern., 2015

Improving contextual advertising matching by using Wikipedia thesaurus knowledge.
Knowl. Inf. Syst., 2015

Constructing plausible innocuous pseudo queries to protect user query intention.
Inf. Sci., 2015

A new approach to query segmentation for relevance ranking in web search.
Inf. Retr. J., 2015

Supporting multi-level quality of services in data broadcast systems.
Int. J. Sens. Networks, 2015

Learning recency based comparative choice towards point-of-interest recommendation.
Expert Syst. Appl., 2015

Information Coverage Maximization in Social Networks.
CoRR, 2015

A Novelty-Seeking based Dining Recommender System.
Proceedings of the 24th International Conference on World Wide Web, 2015

Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Individual Influence Maximization via Link Recommendation.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Convex Matrix Completion: A Trace-Ball Optimization Perspective.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Exploring the Impact of Dynamic Mutual Influence on Social Event Participation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Product Adoption Rate Prediction: A Multi-factor View.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Predicting Smartphone Adoption in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Identifying Hesitant and Interested Customers for Targeted Social Marketing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Mining User's Location Intention from Mobile Search Log.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Matrix Factorization with Scale-Invariant Parameters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cognitive Modelling for Predicting Examinee Performance.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Maximizing the Coverage of Information Propagation in Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Feature Selection with Integrated Relevance and Redundancy Optimization.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Community Detection Based on Structure and Content: A Content Propagation Perspective.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning User Preferences across Multiple Aspects for Merchant Recommendation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Discovery of College Students in Financial Hardship.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Information Source Detection via Maximum A Posteriori Estimation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

MARS: A multi-aspect Recommender system for Point-of-Interest.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

UPCA: An efficient URL-Pattern based algorithm for accurate web page classification.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Distributed real-time knowledge graph serving.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

A Nonconvex Relaxation Approach for Rank Minimization Problems.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Temporally Adaptive Restricted Boltzmann Machine for Background Modeling.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Exploiting Task-Feature Co-Clusters in Multi-Task Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Ranking user authority with relevant knowledge categories for expert finding.
World Wide Web, 2014

Mobile App Classification with Enriched Contextual Information.
IEEE Trans. Mob. Comput., 2014

A Cocktail Approach for Travel Package Recommendation.
IEEE Trans. Knowl. Data Eng., 2014

Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data, 2014

Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM Trans. Intell. Syst. Technol., 2014

Object-Oriented Travel Package Recommendation.
ACM Trans. Intell. Syst. Technol., 2014

Learning to annotate via social interaction analytics.
Knowl. Inf. Syst., 2014

Learning to detect subway arrivals for passengers on a train.
Frontiers Comput. Sci., 2014

Improving search relevance for short queries in community question answering.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

A Novel Knowledge Network Framework for Financial News Navigation.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

An Intelligent Search Platform for Business News.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Influential nodes selection: a data reconstruction perspective.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Analyzing Location Predictability on Location-Based Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Mobile app recommendations with security and privacy awareness.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Mining user tasks from print logs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

On top-k closed sequential patterns mining.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Chronos: a graph engine for temporal graph analysis.
Proceedings of the Ninth Eurosys Conference 2014, 2014

A Probabilistic Model for Learning Multi-Prototype Word Embeddings.
Proceedings of the COLING 2014, 2014

Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Predicting the Popularity of Online Serials with Autoregressive Models.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Diversified social influence maximization.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

High Utility Episode Mining Made Practical and Fast.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Agent Behavior Prediction and Its Generalization Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Learning Deep Representations for Graph Clustering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Efficient Personalized Recommendation of Mobile Web Content Using an EM-Based Clustering Method.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2013
A vlHMM approach to context-aware search.
ACM Trans. Web, 2013

Task Allocation on Nonvolatile-Memory-Based Hybrid Main Memory.
IEEE Trans. Very Large Scale Integr. Syst., 2013

Optimal key tree structure for two-user replacement and deletion problems.
J. Comb. Optim., 2013

Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page.
Neurocomputing, 2013

A Survey of Context-Aware Mobile Recommendations.
Int. J. Inf. Technol. Decis. Mak., 2013

Query Segmentation for Relevance Ranking in Web Search.
CoRR, 2013

GEAM: A General and Event-Related Aspects Model for Twitter Event Detection.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Personalized next-song recommendation in online karaokes.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

PageRank with Priors: An Influence Propagation Perspective.
Proceedings of the IJCAI 2013, 2013

Learning to Detect the Subway Station Arrival for Mobile Users.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

From Social User Activities to People Affiliation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Linear Computation for Independent Social Influence.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Dataset for Research on Short-Text Conversations.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Random Walk with Pre-filtering for Social Link Prediction.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

Ranking fraud detection for mobile apps: a holistic view.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Probabilistic solutions of influence propagation on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing.
ACM Trans. Intell. Syst. Technol., 2012

Single and multiple device DSA problems, complexities and online algorithms.
Theor. Comput. Sci., 2012

Executing SQL queries over encrypted character strings in the Database-As-Service model.
Knowl. Based Syst., 2012

An unsupervised approach to modeling personalized contexts of mobile users.
Knowl. Inf. Syst., 2012

Loop fusion and reordering for register file optimization on stream processors.
J. Syst. Softw., 2012

Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning.
Neurocomputing, 2012

Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities.
Int. J. Knowl. Syst. Sci., 2012

Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems.
Data Knowl. Eng., 2012

Performance Enhancement Factors of ERP Projects in a Telecom Public Sector Organization of Pakistan : An Exploratory Study
CoRR, 2012

Enterprise Resource Planning - Real blessing or a Blessing in Disguise : An Exploration of the Contextual Factors in Public Sector.
CoRR, 2012

Precise Location Acquisition of Mobility Data Using Cell-id
CoRR, 2012

Cell Oscillation Resolution in Mobility Profile Building
CoRR, 2012

Spatial Outlier Detection from GSM Mobility Data
CoRR, 2012

A Linear Circuit Model For Social Influence
CoRR, 2012

A Social Influence Model Based On Circuit Theory
CoRR, 2012

A habit mining approach for discovering similar mobile users.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Speed Scaling Problems with Memory/Cache Consideration.
Proceedings of the Theory and Applications of Models of Computation, 2012

Admission Control and Channel Allocation of Multi-item Requests for Real-Time Data Broadcast.
Proceedings of the 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2012

Influential seed items recommendation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

On Approximation of Real-World Influence Spread.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Storage Device Performance Prediction with Hybrid Regression Models.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

Image Denoising and Inpainting with Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

BP-growth: Searching Strategies for Efficient Behavior Pattern Mining.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Harnessing the wisdom of the crowds for accurate web page clipping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A projective clustering algorithm based on significant local dense areas.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Messages Ranking in Social Network.
Proceedings of the Intelligent Information Processing VI, 2012

Multi-view learning with batch mode active selection for image retrieval.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Mining Personal Context-Aware Preferences for Mobile Users.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Towards Annotating Media Contents through Social Diffusion Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Ensemble Pruning via Constrained Eigen-Optimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Kineograph: taking the pulse of a fast-changing and connected world.
Proceedings of the European Conference on Computer Systems, 2012

Analyzing Sequence Data Based on Conditional Random Fields with Co-training.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

Exploiting enriched contextual information for mobile app classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Leveraging tagging for neighborhood-aware probabilistic matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Benefit based cache data placement and update for mobile peer to peer networks.
World Wide Web, 2011

Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion.
ACM Trans. Intell. Syst. Technol., 2011

Min-energy scheduling for aligned jobs in accelerate model.
Theor. Comput. Sci., 2011

Exploiting probabilistic topic models to improve text categorization under class imbalance.
Inf. Process. Manag., 2011

HC_AB: A new heuristic clustering algorithm based on Approximate Backbone.
Inf. Process. Lett., 2011

A semantic term weighting scheme for text categorization.
Expert Syst. Appl., 2011

Optimal task allocation on non-volatile memory based hybrid main memory.
Proceedings of the Research in Applied Computation Symposium, 2011

Finding Experts in Tag Based Knowledge Sharing Communities.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Gaussian Process for Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Personalized Travel Package Recommendation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A novel three-phase XML twig pattern matching algorithm based on version tree.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Towards expert finding by leveraging relevant categories in authority ranking.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Energy optimal schedules for jobs with multiple active intervals.
Theor. Comput. Sci., 2010

Context-aware ranking in web search.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Profit-based on-demand broadcast scheduling of real-time multi-item requests.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2010

Single and Multiple Device DSA Problem, Complexities and Online Algorithms.
Proceedings of the Algorithms and Computation - 21st International Symposium, 2010

An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users.
Proceedings of the ICDM 2010, 2010

Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

Graph-Based Answer Passage Ranking for Question Answering.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

An effective approach for mining mobile user habits.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Optimal tree structures for group key tree management considering insertion and deletion cost.
Theor. Comput. Sci., 2009

SPF-A*: Searching Multimedia Data in Heterogeneous Mobile P2P Network.
J. Multim., 2009

Towards context-aware search by learning a very large variable length hidden markov model from search logs.
Proceedings of the 18th International Conference on World Wide Web, 2009

Context-aware query classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network.
Proceedings of the Advances in Neural Networks, 2009

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009

Finding Community Structure Based on Subgraph Similarity.
Proceedings of the Complex Networks, 2009

Enhancing recommender systems under volatile userinterest drifts.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Efficient strategies for tough aggregate constraint-based sequential pattern mining.
Inf. Sci., 2008

Adaptive label-driven scaling for latent semantic indexing.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Adaptive caching with heterogeneous devices in mobile peer to peer network.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Context-aware query suggestion by mining click-through and session data.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Optimal Key Tree Structure for Deleting Two or More Leaves.
Proceedings of the Algorithms and Computation, 19th International Symposium, 2008

Question recommendation for user-interactive question answering systems.
Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, 2008

Probabilistic Model for Syntactic and Semantic Dependency Parsing.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

2007
On the strength of hyperclique patterns for text categorization.
Inf. Sci., 2007

An evolution-based cache scheme for scalable mobile data access.
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

An answer passage retrieval strategy for web-based question answering.
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

Heuristic learning of rules for information extraction from web documents.
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

2006
A Novel Approach of Table Detection and Analysis for Semantic Annotation.
Int. J. Artif. Intell. Tools, 2006

SIIPU*S: A Semantic Pattern Learning Algorithm.
Proceedings of the 2006 International Conference on Semantics, 2006

An Evolutionary Computational Method for N-Connection Subgraph Discovery.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Adapting association patterns for text categorization: weaknesses and enhancements.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

A Chord-Based Novel Mobile Peer-to-Peer File Sharing Protocol.
Proceedings of the Frontiers of WWW Research and Development, 2006

A Novel Automatic Text Summarization Study Based on Term Co-Occurrence.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Automatic Domain Ontology Generation from Web sites.
Trans. SDPS, 2005

TextCC: New Feed Forward Neural Network for Classifying Documents Instantly.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

An Ontology Learning Method Enhanced by Frame Semantics.
Proceedings of the Seventh IEEE International Symposium on Multimedia (ISM 2005), 2005

SVM Based Automatic User Profile Construction for Personalized Search.
Proceedings of the Advances in Intelligent Computing, 2005

A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Dynamic Clustering Using Multi-objective Evolutionary Algorithm.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Extending CC4 Neural Networks to Classify Real Life Documents.
Informatica (Slovenia), 2004

Enabling Personalization Recommendation With WeightedFP for Text Information Retrieval Based on User-Focus.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

An Instance Learning Approach for Automatic Semantic Annotation.
Proceedings of the Computational and Information Science, First International Symposium, 2004

User-Focus Based Personalization Recommendation for Text Information Retrieval.
Proceedings of the Advanced Web Technologies and Applications, 2004

Efficient Incremental Pattern Mining from Semi-structured Dataset.
Proceedings of the Advanced Web Technologies and Applications, 2004

2002
Semistructured Data Store Mapping with XML and Its Reconstruction.
Proceedings of the Advances in Databases and Information Systems, 2002

2001
An Algorithm for Fast Recognition of Connected Row-Convex Constraint Networks.
Proceedings of the Programmation en logique avec contraintes, Actes des JFPLC'2001, 24 avril, 2001

Kansei-Oriented Image Retrieval.
Proceedings of the Active Media Technology, 6th International Computer Science Conference, 2001

1999
Semi-Structured Data Extraction and Schema Knowledge Mining.
Proceedings of the 25th EUROMICRO '99 Conference, 1999


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