Hongzhi Yin

Orcid: 0000-0003-1395-261X

Affiliations:
  • University of Queensland, Brisbane, QLD, Australia
  • Peking University, Beijing, China (PhD 2014)


According to our database1, Hongzhi Yin authored at least 373 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
ACM Trans. Intell. Syst. Technol., August, 2024

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
ACM Trans. Inf. Syst., July, 2024

Personalized Elastic Embedding Learning for On-Device Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation.
World Wide Web (WWW), May, 2024

Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.
ACM Trans. Inf. Syst., May, 2024

Variational Counterfactual Prediction Under Runtime Domain Corruption.
IEEE Trans. Knowl. Data Eng., May, 2024

Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios.
IEEE Trans. Knowl. Data Eng., April, 2024

Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks.
IEEE Trans. Knowl. Data Eng., March, 2024

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2024

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol., February, 2024

Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng., January, 2024

TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT.
IEEE Trans. Ind. Informatics, January, 2024

Portable graph-based rumour detection against multi-modal heterophily.
Knowl. Based Syst., 2024

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing.
Knowl. Based Syst., 2024

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.
Inf. Sci., 2024

Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.
CoRR, 2024

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR, 2024

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.
CoRR, 2024

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR, 2024

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
CoRR, 2024

CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
CoRR, 2024

Heterogeneous Hypergraph Embedding for Recommendation Systems.
CoRR, 2024

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024

RobGC: Towards Robust Graph Condensation.
CoRR, 2024

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR, 2024

Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR, 2024

A Survey of Generative Techniques for Spatial-Temporal Data Mining.
CoRR, 2024

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
CoRR, 2024

Automated Similarity Metric Generation for Recommendation.
CoRR, 2024

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024

Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR, 2024

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.
CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR, 2024

Graph Condensation: A Survey.
CoRR, 2024

On-Device Recommender Systems: A Comprehensive Survey.
CoRR, 2024

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
CoRR, 2024

ROIC-DM: Robust Text Inference and Classification via Diffusion Model.
CoRR, 2024

Poisoning Attacks against Recommender Systems: A Survey.
CoRR, 2024

Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol., 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Challenging Low Homophily in Social Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Defense Against Model Extraction Attacks on Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Budgeted Embedding Table For Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Motif-based Prompt Learning for Universal Cross-domain Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CaseLink: Inductive Graph Learning for Legal Case Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Lightweight Embeddings for Graph Collaborative Filtering.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Condensation for Open-World Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Hate Speech Detection with Generalizable Target-aware Fairness.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

BIM: Improving Graph Neural Networks with Balanced Influence Maximization.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hide Your Model: A Parameter Transmission-free Federated Recommender System.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Open-World Semi-Supervised Learning for Node Classification.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Condensation for Inductive Node Representation Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Watermarking Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Scalable Dynamic Embedding Size Search for Streaming Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient and Robust Regularized Federated Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng., November, 2023

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

AutoML for Deep Recommender Systems: A Survey.
ACM Trans. Inf. Syst., October, 2023

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst., October, 2023

Efficient On-Device Session-Based Recommendation.
ACM Trans. Inf. Syst., October, 2023

Scalable maximal subgraph mining with backbone-preserving graph convolutions.
Inf. Sci., October, 2023

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng., September, 2023

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.
IEEE Trans. Knowl. Data Eng., September, 2023

Special Issue of DASFAA 2023.
Data Sci. Eng., September, 2023

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Spatial-temporal meta-path guided explainable crime prediction.
World Wide Web (WWW), July, 2023

Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2023

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.
IEEE Trans. Knowl. Data Eng., May, 2023

Proactive Privacy-preserving Learning for Cross-modal Retrieval.
ACM Trans. Inf. Syst., April, 2023

A Multi-strategy-based Pre-training Method for Cold-start Recommendation.
ACM Trans. Inf. Syst., April, 2023

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph.
IEEE Trans. Knowl. Data Eng., April, 2023

DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.
IEEE Trans. Big Data, April, 2023

Detecting rumours with latency guarantees using massive streaming data.
VLDB J., March, 2023

Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs.
IEEE Trans. Knowl. Data Eng., March, 2023

HFUL: a hybrid framework for user account linkage across location-aware social networks.
VLDB J., January, 2023

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst., 2023

Decentralized Collaborative Learning Framework for Next POI Recommendation.
ACM Trans. Inf. Syst., 2023

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst., 2023

Network Alignment With Holistic Embeddings.
IEEE Trans. Knowl. Data Eng., 2023

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2023

Local feature-based mutual complexity for pixel-value-ordering reversible data hiding.
Signal Process., 2023

Deep MinCut: Learning Node Embeddings by Detecting Communities.
Pattern Recognit., 2023

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR, 2023

PUMA: Efficient Continual Graph Learning with Graph Condensation.
CoRR, 2023

Poisoning Attacks Against Contrastive Recommender Systems.
CoRR, 2023

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR, 2023

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR, 2023

Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs.
CoRR, 2023

Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR, 2023

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR, 2023

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation.
CoRR, 2023

Knowledge Enhancement for Multi-Behavior Contrastive Recommendation.
CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Semi-decentralized Federated Ego Graph Learning for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Federated Unlearning for On-Device Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Learning to Distill Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge Enhancement for Contrastive Multi-Behavior Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continuous Input Embedding Size Search For Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Efficient Bi-Level Optimization for Recommendation Denoising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Causality-guided Graph Learning for Session-based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Self-supervised graph learning for occasional group recommendation.
Int. J. Intell. Syst., December, 2022

Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web, 2022

Fast-adapting and privacy-preserving federated recommender system.
VLDB J., 2022

Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids.
IEEE Trans. Smart Grid, 2022

Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data.
IEEE Trans. Smart Grid, 2022

Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation.
ACM Trans. Inf. Syst., 2022

Exploiting Positional Information for Session-Based Recommendation.
ACM Trans. Inf. Syst., 2022

Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst., 2022

Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach.
ACM Trans. Inf. Syst., 2022

Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups.
IEEE Trans. Knowl. Data Eng., 2022

Deep Pairwise Hashing for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Overcoming Data Sparsity in Group Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics, 2022

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II.
ACM Trans. Intell. Syst. Technol., 2022

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I.
ACM Trans. Intell. Syst. Technol., 2022

Model-agnostic and diverse explanations for streaming rumour graphs.
Knowl. Based Syst., 2022

Preface - Special Issue on Misinformation on the Web.
Inf. Syst., 2022

Efficient Graph Neural Network Inference at Large Scale.
CoRR, 2022

Self-supervised Graph-based Point-of-interest Recommendation.
CoRR, 2022

A Survey of Machine Unlearning.
CoRR, 2022

A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR, 2022

Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks.
CoRR, 2022

LECF: recommendation via learnable edge collaborative filtering.
Sci. China Inf. Sci., 2022

Unified Question Generation with Continual Lifelong Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Contrastive Learning for Representation Degeneration Problem in Sequential 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

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Single-shot Embedding Dimension Search in Recommender System.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CIRCLE: continual repair across programming languages.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

exRumourLens: Auditable Rumour Detection with Multi-View Explanations.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Network Alignment with Holistic Embeddings (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Switchable Online Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hyperbolic Personalized Tag Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Locality Aware Temporal FMs for Crime Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A block-based generative model for attributed network embedding.
World Wide Web, 2021

An integrated model based on deep multimodal and rank learning for point-of-interest recommendation.
World Wide Web, 2021

Utility Mining Across Multi-Dimensional Sequences.
ACM Trans. Knowl. Discov. Data, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics, 2021

Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics, 2021

Towards Revenue Maximization with Popular and Profitable Products.
Trans. Data Sci., 2021

Scalable Robust Graph Embedding with Spark.
Proc. VLDB Endow., 2021

Efficient Streaming Subgraph Isomorphism with Graph Neural Networks.
Proc. VLDB Endow., 2021

Link-Intensive Alignment for Incomplete Knowledge Graphs.
CoRR, 2021

Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR, 2021

Self-supervised Graph Learning for Occasional Group Recommendation.
CoRR, 2021

A dual benchmarking study of facial forgery and facial forensics.
CoRR, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR, 2021

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR, 2021

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling.
CoRR, 2021

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph.
CoRR, 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Hypergraph Embedding for Graph Classification.
Proceedings of the WSDM '21, 2021

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
Proceedings of the WSDM '21, 2021

Temporal Meta-path Guided Explainable Recommendation.
Proceedings of the WSDM '21, 2021

Privacy Protection in Deep Multi-modal Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Decoupling Representation Learning and Classification for GNN-based Anomaly Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning to Ask Appropriate Questions in Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Where are we in embedding spaces?
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Elastic Embeddings for Customizing On-Device Recommenders.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Reliable Recommendation with Review-level Explanations.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021).
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Lightweight Self-Attentive Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Subgraph Convolutional Network for Recommendation.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Extracting representative user subset of social networks towards user characteristics and topological features.
World Wide Web, 2020

Group-level personality detection based on text generated networks.
World Wide Web, 2020

Semi-supervised clustering with deep metric learning and graph embedding.
World Wide Web, 2020

SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud.
World Wide Web, 2020

Cluster query: a new query pattern on temporal knowledge graph.
World Wide Web, 2020

CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst., 2020

Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks.
ACM Trans. Inf. Syst., 2020

Local Variational Feature-Based Similarity Models for Recommending Top-<i>N</i> New Items.
ACM Trans. Inf. Syst., 2020

Personalized Video Recommendation Using Rich Contents from Videos.
IEEE Trans. Knowl. Data Eng., 2020

Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification.
IEEE Trans. Image Process., 2020

Group-Based Recurrent Neural Networks for POI Recommendation.
Trans. Data Sci., 2020

Enhanced factorization machine via neural pairwise ranking and attention networks.
Pattern Recognit. Lett., 2020

Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020

User Account Linkage Across Multiple Platforms with Location Data.
J. Comput. Sci. Technol., 2020

Semantic trajectory representation and retrieval via hierarchical embedding.
Inf. Sci., 2020

TEAGS: time-aware text embedding approach to generate subgraphs.
Data Min. Knowl. Discov., 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR, 2020

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Try This Instead: Personalized and Interpretable Substitute Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Discovering Subsequence Patterns for Next POI Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Group Recommendation with Latent Voting Mechanism.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Graph Embeddings for One-pass Processing of Heterogeneous Queries.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors.
Proceedings of the Database Systems for Advanced Applications, 2020

Neural Pairwise Ranking Factorization Machine for Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

Decentralized Embedding Framework for Large-Scale Networks.
Proceedings of the Database Systems for Advanced Applications, 2020

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
User identity linkage across social networks via linked heterogeneous network embedding.
World Wide Web, 2019

Layered convolutional dictionary learning for sparse coding itemsets.
World Wide Web, 2019

Matching user accounts across social networks based on username and display name.
World Wide Web, 2019

Leveraging multi-aspect time-related influence in location recommendation.
World Wide Web, 2019

Spatiotemporal Representation Learning for Translation-Based POI Recommendation.
ACM Trans. Inf. Syst., 2019

Efficient User Guidance for Validating Participatory Sensing Data.
ACM Trans. Intell. Syst. Technol., 2019

User Guidance for Efficient Fact Checking.
Proc. VLDB Endow., 2019

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
Proc. VLDB Endow., 2019

An Efficient Framework for Multiple Subgraph Pattern Matching Models.
J. Comput. Sci. Technol., 2019

Parallel Computation of Graph Embeddings.
CoRR, 2019

Few-Shot Deep Adversarial Learning for Video-based Person Re-identification.
CoRR, 2019

MCP: A multi-component learning machine to predict protein secondary structure.
Comput. Biol. Medicine, 2019

Online User Representation Learning Across Heterogeneous Social Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Enhancing Collaborative Filtering with Generative Augmentation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Streaming Session-based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inferring Substitutable Products with Deep Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Social Influence-Based Group Representation Learning for Group Recommendation.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Semi-supervised Clustering with Deep Metric Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.
Proceedings of the Database Systems for Advanced Applications, 2019

What Can History Tell Us?
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Spatiotemporal Recommendation in Geo-Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Exploiting detected visual objects for frame-level video filtering.
World Wide Web, 2018

Computing Crowd Consensus with Partial Agreement.
IEEE Trans. Knowl. Data Eng., 2018

TPM: A Temporal Personalized Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2018

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl. Based Syst., 2018

Preface.
J. Comput. Sci. Technol., 2018

A deep dive into user display names across social networks.
Inf. Sci., 2018

Matching user accounts based on user generated content across social networks.
Future Gener. Comput. Syst., 2018

MCP: a multi-component learning machine for prediction of protein secondary structure.
CoRR, 2018

Discrete Deep Learning for Fast Content-Aware Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Extracting Representative User Subset of Social Networks Towards User Characteristics and Topological Features.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Unified User and Item Representation Learning for Joint Recommendation in Social Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Streaming Ranking Based Recommender Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Look Deeper See Richer: Depth-aware Image Paragraph Captioning.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards the Learning of Weighted Multi-label Associative Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

LC-RNN: A Deep Learning Model for Traffic Speed Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Joint Event-Partner Recommendation in Event-Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Effective and Efficient User Account Linkage across Location Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation.
Proceedings of the Database Systems for Advanced Applications, 2018

Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2018

Publishing Graph Node Strength Histogram with Edge Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2018

Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs.
Proceedings of the Database Systems for Advanced Applications, 2018

A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud.
Proceedings of the Database Systems for Advanced Applications, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.
Proceedings of the Databases Theory and Applications, 2018

2017
Answer validation for generic crowdsourcing tasks with minimal efforts.
VLDB J., 2017

Argument discovery via crowdsourcing.
VLDB J., 2017

Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2017

Leveraging Multi-aspect Time-related Influence in Location Recommendation.
CoRR, 2017

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR, 2017

Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Understanding the User Display Names across Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Influenced Nodes Discovery in Temporal Contact Network.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Retaining Data from Streams of Social Platforms with Minimal Regret.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2017

Exploiting Spatio-Temporal User Behaviors for User Linkage.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Time-Constrained Graph Pattern Matching in a Large Temporal Graph.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Time and Sentiment Unification Model for Personalized Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Group Recommender Model Based on Preference Interaction.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

An Integrated Model for Effective Saliency Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Spatio-Temporal Recommendation in Social Media
Springer Briefs in Computer Science, Springer, ISBN: 978-981-10-0748-4, 2016

Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion.
World Wide Web, 2016

Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.
ACM Trans. Inf. Syst., 2016

Adapting to User Interest Drift for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2016

A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.
ACM Trans. Intell. Syst. Technol., 2016

Exploiting Rich Contents for Personalized Video Recommendation.
CoRR, 2016

Graph-Based Metric Embedding for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Expert team finding for review assignment.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Keyword-aware continuous kNN query on road networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Discovering interpretable geo-social communities for user behavior prediction.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

SPORE: A sequential personalized spatial item recommender system.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

A Unified Framework for Fine-Grained Opinion Mining from Online Reviews.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Learning Graph-based POI Embedding for Location-based Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Using Detected Visual Objects to Index Video Database.
Proceedings of the Databases Theory and Applications, 2016

2015
Dynamic User Modeling in Social Media Systems.
ACM Trans. Inf. Syst., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.
ACM Trans. Knowl. Discov. Data, 2015

Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Discovering Organized POI Groups in a City.
Proceedings of the Database Systems for Advanced Applications, 2015

Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Predicting Users' Purchasing Behaviors Using Their Browsing History.
Proceedings of the Databases Theory and Applications, 2015

Predicting Passengers in Public Transportation Using Smart Card Data.
Proceedings of the Databases Theory and Applications, 2015

2014
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst., 2014

A temporal context-aware model for user behavior modeling in social media systems.
Proceedings of the International Conference on Management of Data, 2014

2013
TeRec: A Temporal Recommender System Over Tweet Stream.
Proc. VLDB Endow., 2013

Community Specific Temporal Topic Discovery from Social Media.
CoRR, 2013

LCARS: a location-content-aware recommender system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A unified model for stable and temporal topic detection from social media data.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Challenging the Long Tail Recommendation.
Proc. VLDB Endow., 2012

2011
Finding a Wise Group of Experts in Social Networks.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011


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