Fuzhen Zhuang

Orcid: 0000-0002-0520-2619

Affiliations:
  • Beihang University, School of Computer Science, Institute of Artificial Intelligence, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Fuzhen Zhuang authored at least 299 papers between 2008 and 2024.

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Bibliography

2024
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective.
IEEE Trans. Knowl. Data Eng., December, 2024

A comprehensive survey of federated transfer learning: challenges, methods and applications.
Frontiers Comput. Sci., December, 2024

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement.
IEEE Trans. Knowl. Data Eng., November, 2024

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph.
ACM Trans. Inf. Syst., July, 2024

Personalized Prompt for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

Triple Dual Learning for Opinion-based Explainable Recommendation.
ACM Trans. Inf. Syst., May, 2024

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.
IEEE Trans. Knowl. Data Eng., May, 2024

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach.
Knowl. Inf. Syst., May, 2024

DKPE: Deep KeyPhrase Expansion.
Neurocomputing, March, 2024

A syntactic multi-level interaction network for rumor detection.
Neural Comput. Appl., February, 2024

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks.
Inf. Sci., February, 2024

Multi-scale conditional reconstruction generative adversarial network.
Image Vis. Comput., January, 2024

Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization.
IEEE Trans. Multim., 2024

A syntactic evidence network model for fact verification.
Neural Networks, 2024

Open-category referring expression comprehension via multi-modal knowledge transfer.
Neurocomputing, 2024

FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning.
CoRR, 2024

E5-V: Universal Embeddings with Multimodal Large Language Models.
CoRR, 2024

Graph Dimension Attention Networks for Enterprise Credit Assessment.
CoRR, 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.
CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
CoRR, 2024

ID-centric Pre-training for Recommendation.
CoRR, 2024

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework.
CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.
CoRR, 2024

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Light POI-Guided Conversational Recommender System based on Adaptive Space.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Representation Learning of Temporal Graphs with Structural Roles.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Scaling Sentence Embeddings with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.
Proceedings of the Database Systems for Advanced Applications, 2024

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-view Temporal Knowledge Graph Reasoning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Exploring High-Order User Preference with Knowledge Graph for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement.
ACM Trans. Inf. Syst., October, 2023

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Memory-Guided Multi-View Multi-Domain Fake News Detection.
IEEE Trans. Knowl. Data Eng., July, 2023

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition.
IEEE Trans. Mob. Comput., June, 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing.
IEEE Trans. Knowl. Data Eng., May, 2023

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Combat data shift in few-shot learning with knowledge graph.
Frontiers Comput. Sci., 2023

Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification.
IEEE Intell. Syst., 2023

DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops.
CoRR, 2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.
CoRR, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
CoRR, 2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.
CoRR, 2023

A Survey on Causal Inference for Recommendation.
CoRR, 2023

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Weighted Knowledge Graph Embedding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Attacking Pre-trained Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Meta-optimized Contrastive Learning for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Matching Point of Interests and Travel Blog with Multi-view Information Fusion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Neural Multi-hop Logical Query Answering with Concept-Level Answers.
Proceedings of the Semantic Web - ISWC 2023, 2023

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge Graph Error Detection with Hierarchical Path Structure.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pruning Pre-trained Language Models Without Fine-Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Detect Professional Malicious User With Metric Learning in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2022

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data, 2022

HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning.
IEEE J. Biomed. Health Informatics, 2022

EIGAT: Incorporating global information in local attention for knowledge representation learning.
Knowl. Based Syst., 2022

Adaptively sharing multi-levels of distributed representations in multi-task learning.
Inf. Sci., 2022

Self-Supervised learning for Conversational Recommendation.
Inf. Process. Manag., 2022

An automatic short-answer grading model for semi-open-ended questions.
Interact. Learn. Environ., 2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs.
CoRR, 2022

Pruning Pre-trained Language Models Without Fine-Tuning.
CoRR, 2022

Joint Abductive and Inductive Neural Logical Reasoning.
CoRR, 2022

Personalized Prompts for Sequential Recommendation.
CoRR, 2022

Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk.
CoRR, 2022

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks.
CoRR, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
CoRR, 2022

Improving biomedical named entity recognition by dynamic caching inter-sentence information.
Bioinform., 2022

EvidenceNet: Evidence Fusion Network for Fact Verification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Selective Fairness in Recommendation via Prompts.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Centric Conversational Recommendation with Multi-Aspect User Modeling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Customized Conversational Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Logic Aware Neural Generation Method for Explainable Data-to-text.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.
Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Global and Local Hierarchies for Hierarchical Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-view Multi-behavior Contrastive Learning in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledge-Aware Topological Networks for Recommendation.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

Clustering-Enhanced Knowledge Graph Embedding.
Proceedings of the Big Data - 10th CCF Conference, 2022

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep Subdomain Adaptation Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction.
IEEE Trans. Knowl. Data Eng., 2021

A Comprehensive Survey on Transfer Learning.
Proc. IEEE, 2021

Knowledge graph embedding with shared latent semantic units.
Neural Networks, 2021

A neural topic model with word vectors and entity vectors for short texts.
Inf. Process. Manag., 2021

A semi-supervised deep convolutional framework for signet ring cell detection.
Neurocomputing, 2021

Long- and short-term self-attention network for sequential recommendation.
Neurocomputing, 2021

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning.
CoRR, 2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR, 2021

Deep Keyphrase Completion.
CoRR, 2021

Improving Non-autoregressive Generation with Mixup Training.
CoRR, 2021

Combat Data Shift in Few-shot Learning with Knowledge Graph.
CoRR, 2021

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Talent Demand Forecasting with Attentive Neural Sequential Model.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

BFConv: Improving Convolutional Neural Networks with Butterfly Convolution.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Joint alignment and compactness learning for multi-source unsupervised domain adaptation.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Knowledge-Aware Hypergraph Neural Network for Recommender Systems.
Proceedings of the Database Systems for Advanced Applications, 2021

Tell Me Where to Go Next: Improving POI Recommendation via Conversation.
Proceedings of the Database Systems for Advanced Applications, 2021

Low-dimensional Alignment for Cross-Domain Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Incorporating Global Information in Local Attention for Knowledge Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Community-Aware Multi-Task Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback.
ACM Trans. Knowl. Discov. Data, 2020

Trust-embedded collaborative deep generative model for social recommendation.
J. Supercomput., 2020

Softly Associative Transfer Learning for Cross-Domain Classification.
IEEE Trans. Cybern., 2020

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification.
Neural Networks, 2020

Leveraging maximum entropy and correlation on latent factors for learning representations.
Neural Networks, 2020

Online Bayesian max-margin subspace learning for multi-view classification and regression.
Mach. Learn., 2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020

Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80].
Inf. Syst., 2020

Dynamic Measurement and Data Calibration for Aerial Mobile IoT.
IEEE Internet Things J., 2020

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

Graph Factorization Machines for Cross-Domain Recommendation.
CoRR, 2020

Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Domain Adaptation with Category Attention Network for Deep Sentiment Analysis.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Collaborative Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

The Linear Geometry Structure of Label Matrix for Multi-label Learning.
Proceedings of the Database and Expert Systems Applications, 2020

Cross-Domain Recommendation with Adversarial Examples.
Proceedings of the Database Systems for Advanced Applications, 2020

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Grid-based DBSCAN: Indexing and inference.
Pattern Recognit., 2019

Multi-representation adaptation network for cross-domain image classification.
Neural Networks, 2019

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.
Neural Networks, 2019

Neural variational collaborative filtering with side information for top-K recommendation.
Int. J. Mach. Learn. Cybern., 2019

Supervised representation learning for multi-label classification.
Mach. Learn., 2019

Knowledge triple mining via multi-task learning.
Inf. Syst., 2019

Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80].
Inf. Syst., 2019

Bayesian dual neural networks for recommendation.
Frontiers Comput. Sci., 2019

Transfer Learning Toolkit: Primers and Benchmarks.
CoRR, 2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.
CoRR, 2019

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation.
CoRR, 2019

Policy Gradients for Contextual Recommendations.
Proceedings of the World Wide Web Conference, 2019

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Neural Variational Collaborative Filtering for Top-K Recommendation.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Multiple Relational Attention Network for Multi-task Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Contextualized Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SDC-causing Error Detection Based on Lightweight Vulnerability Prediction.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mining Precise-Positioning Episode Rules from Event Sequences.
IEEE Trans. Knowl. Data Eng., 2018

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning.
ACM Trans. Intell. Syst. Technol., 2018

Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization.
IEEE Trans. Cybern., 2018

Transfer collaborative filtering from multiple sources via consensus regularization.
Neural Networks, 2018

Self-organizing weighted incremental probabilistic latent semantic analysis.
Int. J. Mach. Learn. Cybern., 2018

RECOME: A new density-based clustering algorithm using relative KNN kernel density.
Inf. Sci., 2018

Discovering and learning sensational episodes of news events.
Inf. Syst., 2018

Coupled matrix factorization and topic modeling for aspect mining.
Inf. Process. Manag., 2018

The Automatic Identification of Butterfly Species.
CoRR, 2018

Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR, 2018

Policy Gradients for Contextual Bandits.
CoRR, 2018

Attention-driven Factor Model for Explainable Personalized Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Integrated Model for Crime Prediction Using Temporal and Spatial Factors.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

A General Cross-Domain Recommendation Framework via Bayesian Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2018

Knowledge Graph Embedding with Hierarchical Relation Structure.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MultiE: Multi-Task Embedding for Knowledge Base Completion.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Automatic Chinese Short Answer Grading with Deep Autoencoder.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017

Recommendation in heterogeneous information network via dual similarity regularization.
Int. J. Data Sci. Anal., 2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Representation Learning with Pair-wise Constraints for Collaborative Ranking.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Transfer Learning with Manifold Regularized Convolutional Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Local Ensemble across Multiple Sources for Collaborative Filtering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Integrating heterogeneous information via flexible regularization framework for recommendation.
Knowl. Inf. Syst., 2016

Bag of little bootstraps on features for enhancing classification performance.
Intell. Data Anal., 2016

Expenditure Aware Rating Prediction for Recommendation.
CoRR, 2016

RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density.
CoRR, 2016

Aspect Mining with Rating Bias.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Dual Similarity Regularization for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Tag correlation and user social relation based microblog recommendation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online Bayesian Max-Margin Subspace Multi-View Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Expenditure aware rating prediction for recommendation.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
QPLSA: Utilizing quad-tuples for aspect identification and rating.
Inf. Process. Manag., 2015

Learning deep representations via extreme learning machines.
Neurocomputing, 2015

Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval.
Neurocomputing, 2015

Parallel sampling from big data with uncertainty distribution.
Fuzzy Sets Syst., 2015

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Improving ESVM with Generalized Cross-Validation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Online Frequent Episode Mining.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Bayesian Maximum Margin Principal Component Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybern., 2014

Combining supervised and unsupervised models via unconstrained probabilistic embedding.
Inf. Sci., 2014

Clustering in extreme learning machine feature space.
Neurocomputing, 2014

Discovering and learning sensational episodes of news events.
Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable bootstrap clustering for massive data.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Parallel feature selection using positive approximation based on MapReduce.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Nonparametric Bayesian Multi-Task Large-margin Classification.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization.
Knowl. Based Syst., 2013

Parallel extreme learning machine for regression based on MapReduce.
Neurocomputing, 2013

Particle swarm optimization using dimension selection methods.
Appl. Math. Comput., 2013

Triplex transfer learning: exploiting both shared and distinct concepts for text classification.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Shared Structure Learning for Multiple Tasks with Multiple Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Extreme Learning Machine combining matrix factorization for collaborative filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework.
Proceedings of the IJCAI 2013, 2013

A New Similarity Measure Based on Preference Sequences for Collaborative Filtering.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification".
IEEE Trans. Knowl. Data Eng., 2012

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification.
IEEE Trans. Knowl. Data Eng., 2012

Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci., 2012

Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Parallel Decision Tree with Application to Water Quality Data Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Effectively Constructing Reliable Data for Cross-Domain Text Classification.
Proceedings of the Intelligent Information Processing VI, 2012

Improving Transfer Learning by Introspective Reasoner.
Proceedings of the Intelligent Information Processing VI, 2012

PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce.
Proceedings of the Intelligent Information Processing VI, 2012

Fast Time Series Classification Based on Infrequent Shapelets.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Multi-task Semi-supervised Semantic Feature Learning for Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

TINAC: A fast and effective web video topic detection framework.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Exploiting associations between word clusters and document classes for cross-domain text categorization.
Stat. Anal. Data Min., 2011

A parallel incremental extreme SVM classifier.
Neurocomputing, 2011

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding.
Proceedings of the IJCAI 2011, 2011

Parallel Outlier Detection Using KD-Tree Based on MapReduce.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective.
IEEE Trans. Knowl. Data Eng., 2010

Parallel Implementation of Classification Algorithms Based on MapReduce.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Local Bayesian Based Rejection Method for HSC Ensemble.
Proceedings of the Advances in Neural Networks, 2010

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification.
Proceedings of the ICDM 2010, 2010

A noise handling method for hyper surface classification.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Effectively Leveraging Entropy and Relevance for Summarization.
Proceedings of the Information Retrieval Technology, 2010

2008
The Data Selection Criteria for HSC and SVM Algorithms.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Transfer learning from multiple source domains via consensus regularization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008


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