2025
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer.
IEEE Trans. Knowl. Data Eng., January, 2025
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation.
IEEE Trans. Knowl. Data Eng., January, 2025
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
ACM Comput. Surv., January, 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation.
CoRR, January, 2025
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
2024
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng., December, 2024
Hyperbolic Translation-Based Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst., December, 2024
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst., November, 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
Rethinking Cancer Gene Identification through Graph Anomaly Analysis.
CoRR, 2024
Training-free Heterogeneous Graph Condensation via Data Selection.
CoRR, 2024
A Survey on Sequential Recommendation.
CoRR, 2024
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World.
CoRR, 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR, 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR, 2024
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
CoRR, 2024
Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR, 2024
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
CoRR, 2024
Data Watermarking for Sequential Recommender Systems.
CoRR, 2024
Epidemiology-informed Network for Robust Rumor Detection.
CoRR, 2024
Scalable and Effective Negative Sample Generation for Hyperedge Prediction.
CoRR, 2024
Sparser Training for On-Device Recommendation Systems.
CoRR, 2024
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
CoRR, 2024
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era.
CoRR, 2024
LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation.
CoRR, 2024
Coherence-guided Preference Disentanglement for Cross-domain Recommendations.
CoRR, 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning.
CoRR, 2024
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR, 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
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.
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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
A dual benchmarking study of facial forgery and facial forensics.
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
Distribution-Aware Data Expansion with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
Hyperbolic Adversarial Learning for Personalized Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024
Disentangled Representations for Cross-Domain Recommendation via Heterogeneous Graph Contrastive Learning.
Proceedings of the Database Systems for Advanced Applications, 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.
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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
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 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
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
Accepted Tutorials at The Web Conference 2022.
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Proceedings of the Companion of The 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
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