Qi Liu

Orcid: 0000-0001-6956-5550

Affiliations:
  • University of Science and Technology of China, School of Artifical Intelligence and Data Science, State Key Laboratory of Cognitive Intelligence, Hefei, China
  • 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


According to our database1, Qi Liu authored at least 412 papers between 2010 and 2025.

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Bibliography

2025
STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process.
Expert Syst. Appl., 2025

2024
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction.
IEEE Trans. Knowl. Data Eng., December, 2024

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

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

A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction.
IEEE Trans. Knowl. Data Eng., November, 2024

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

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

HACAN: a hierarchical answer-aware and context-aware network for question generation.
Frontiers Comput. Sci., October, 2024

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

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

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

Global and local neural cognitive modeling for student performance prediction.
Expert Syst. Appl., March, 2024

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

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

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

Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis.
Knowl. Based Syst., 2024

Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling.
Expert Syst. Appl., 2024

Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System.
Expert Syst. Appl., 2024

Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning.
Expert Syst. Appl., 2024

A robustness division based multi-population evolutionary algorithm for solving vehicle routing problems with uncertain demand.
Eng. Appl. Artif. Intell., 2024

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.
CoRR, 2024

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

RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR, 2024

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks.
CoRR, 2024

CursorCore: Assist Programming through Aligning Anything.
CoRR, 2024

Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds.
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

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

Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction.
CoRR, 2024

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
CoRR, 2024

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination.
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

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

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

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations.
CoRR, 2024

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

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR, 2024

Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
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

FedGT: Federated Node Classification with Scalable Graph Transformer.
CoRR, 2024

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

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.
Proceedings of the ACM on Web Conference 2024, 2024

Cooperative Classification and Rationalization for Graph Generalization.
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

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.
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

COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
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

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

Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective.
Proceedings of the Knowledge Science, Engineering and Management, 2024

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Making LLMs as Fine-Grained Relation Extraction Data Augmentor.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Self-Explaining GNNs with Anti-shortcut Augmentations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.
Proceedings of the Twelfth International Conference on Learning Representations, 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

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

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.
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

Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.
Proceedings of the Database Systems for Advanced Applications, 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

Enhancing the Completeness of Rationales for Multi-Step Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis.
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

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

RePair: Automated Program Repair with Process-based Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 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

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Empirical Study of User Engagement in Influencer Marketing on Weibo and WeChat.
IEEE Trans. Comput. Soc. Syst., December, 2023

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

Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry.
J. Comput. Sci. Technol., December, 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

A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks.
IEEE Trans. Comput. Soc. Syst., 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

Overlapping community-based particle swarm optimization algorithm for influence maximization in social networks.
CAAI Trans. Intell. Technol., September, 2023

Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method.
IEEE Trans. Neural Networks Learn. Syst., August, 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

A transformer with layer-cross decoding for remaining useful life prediction.
J. Supercomput., July, 2023

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

What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng., 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

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

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

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

ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics, 2023

A Blockchain-Based Secure Searching Strategy for Metadata in Mobile Edge Computing.
IEEE Internet Things J., 2023

An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems.
INFORMS J. Comput., 2023

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

A Survey of Reasoning with Foundation Models.
CoRR, 2023

Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking.
CoRR, 2023

Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction.
CoRR, 2023

Sparse Attention-Based Neural Networks for Code Classification.
CoRR, 2023

On the Opportunities of Green Computing: A Survey.
CoRR, 2023

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

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
CoRR, 2023

FedJudge: Federated Legal Large Language Model.
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 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

Interactive Natural Language Processing.
CoRR, 2023

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

Quiz-based Knowledge Tracing.
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

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.
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

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

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.
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

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

Full-Atom Protein Pocket Design via Iterative Refinement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking.
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

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

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
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

Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design.
Proceedings of the International Conference on Machine Learning, 2023

Molecule Generation For Target Protein Binding with Structural Motifs.
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

Interventional Rationalization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
Proceedings of the Database Systems for Advanced Applications, 2023

Backdoor Defense via Deconfounded Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

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

PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Context Interest Network for Click-Through Rate Prediction.
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

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

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

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

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

Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective.
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

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

Clause-level Relationship-aware Math Word Problems Solver.
Int. J. Autom. Comput., 2022

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

NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation.
Comput. Biol. Medicine, 2022

Toward intelligent financial advisors for identifying potential clients: A multitask perspective.
Big Data Min. Anal., 2022

FeedRec: News Feed Recommendation with Various User Feedbacks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Unified Representation for Heterogeneous Recommendation.
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

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

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

Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing.
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

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

Hierarchical Graph Transformer with Adaptive Node Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

CreaGAN: An Automatic Creative Generation Framework for Display Advertising.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

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

Multi-Sentence Matching via Exploiting List-level Semantics Expansion.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation.
Proceedings of the Database Systems for Advanced Applications, 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

A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos.
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

Dependency and Association Enhanced Finding Similar Exercises in Online Education System.
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

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

ProtGNN: Towards Self-Explaining Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

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

Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing.
Knowl. Based Syst., 2021

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

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation.
CoRR, 2021

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

A Survey of Knowledge Tracing.
CoRR, 2021

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

A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.
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

Circumstances enhanced Criminal Court View Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.
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

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
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

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
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

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

Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards a New Generation of Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Guided Attention Network for Concept Extraction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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

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

Legal Judgment Prediction with Multiple Perspectives on Civil Cases.
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

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

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

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

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

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

Preface.
J. Comput. Sci. Technol., 2020

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

Dual-collaborative DoS/DDoS mitigation approach in information-centric mobile Internet.
Int. J. Commun. Syst., 2020

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

Domain Adaption for Knowledge Tracing.
CoRR, 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

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

Fine-Grained Similarity Measurement between Educational Videos and Exercises.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 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

Learning the Compositional Visual Coherence for Complementary Recommendations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
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

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Long-term Joint Scheduling for Urban Traffic.
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

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

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

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

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

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

A Radical-Aware Attention-Based Model for Chinese Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.
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

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

Price Shock Detection With an Influence-Based Model of Social Attention.
ACM Trans. Manag. Inf. Syst., 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

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

Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective.
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

Skeptical Deep Learning with Distribution Correction.
CoRR, 2018

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

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

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

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 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

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

Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 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
Mobile Travel Tour Recommendation.
Proceedings of the Encyclopedia of GIS., 2017

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.
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

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

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

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

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

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

Group Preference Aggregation: A Nash Equilibrium Approach.
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

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
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

Exploring the Choice Under Conflict for Social Event Participation.
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

Forecasting price shocks with social attention and sentiment analysis.
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
Occupancy-Based Frequent Pattern Mining<sup>*</sup>.
ACM Trans. Knowl. Discov. Data, 2015

Information Coverage Maximization in Social Networks.
CoRR, 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

Product Adoption Rate Prediction: A Multi-factor View.
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

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

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

Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective.
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

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

2014
Cost-Aware Collaborative Filtering for Travel Tour Recommendations.
ACM Trans. Inf. Syst., 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

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

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks.
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

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

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
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

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

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

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

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

Co-anomaly Event Detection in Multiple Temperature Series.
Proceedings of the Knowledge Science, Engineering and Management, 2013

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

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

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

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

A Linear Circuit Model For Social Influence
CoRR, 2012

A Social Influence Model Based On Circuit Theory
CoRR, 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

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

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

2011
Collaborative filtering with collective training.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

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

Cost-aware travel tour recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

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

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


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