Hongzhi Yin
Orcid: 0000-0003-1395-261XAffiliations:
- University of Queensland, Brisbane, QLD, Australia
- Peking University, Beijing, China (PhD 2014)
According to our database1,
Hongzhi Yin
authored at least 377 papers
between 2011 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
ACM Comput. Surv., January, 2025
2024
IEEE Trans. Knowl. Data Eng., December, 2024
IEEE Trans. Knowl. Data Eng., December, 2024
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
IEEE Trans. Knowl. Data Eng., July, 2024
IEEE Trans. Knowl. Data Eng., July, 2024
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation.
World Wide Web (WWW), May, 2024
ACM Trans. Inf. Syst., May, 2024
IEEE Trans. Knowl. Data Eng., May, 2024
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
IEEE Trans. Knowl. Data Eng., February, 2024
ACM Trans. Intell. Syst. Technol., February, 2024
IEEE Trans. Knowl. Data Eng., January, 2024
IEEE Trans. Ind. Informatics, January, 2024
Knowl. Based Syst., 2024
Knowl. Based Syst., 2024
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.
Inf. Sci., 2024
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
CoRR, 2024
CoRR, 2024
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
CoRR, 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024
CoRR, 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR, 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024
CoRR, 2024
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR, 2024
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR, 2024
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
CoRR, 2024
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
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
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
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
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
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
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023
ACM Trans. Inf. Syst., October, 2023
ACM Trans. Inf. Syst., October, 2023
Inf. Sci., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
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
ACM Trans. Inf. Syst., April, 2023
ACM Trans. Inf. Syst., April, 2023
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
IEEE Trans. Big Data, April, 2023
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
ACM Trans. Inf. Syst., 2023
ACM Trans. Inf. Syst., 2023
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst., 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
Pattern Recognit., 2023
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR, 2023
CoRR, 2023
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR, 2023
CoRR, 2023
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
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
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
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
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
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
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
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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Int. J. Intell. Syst., December, 2022
World Wide Web, 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
ACM Trans. Inf. Syst., 2022
ACM Trans. Inf. Syst., 2022
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst., 2022
ACM Trans. Inf. Syst., 2022
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups.
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Knowl. Data Eng., 2022
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics, 2022
ACM Trans. Intell. Syst. Technol., 2022
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
Knowl. Based Syst., 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
Sci. China Inf. Sci., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
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
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
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
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
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Database Systems for Advanced Applications, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
World Wide Web, 2021
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation.
World Wide Web, 2021
ACM Trans. Knowl. Discov. Data, 2021
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
Trans. Data Sci., 2021
Proc. VLDB Endow., 2021
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
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
Proceedings of the WSDM '21, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the WSDM '21, 2021
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
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
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
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
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
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
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
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
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
World Wide Web, 2020
World Wide Web, 2020
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud.
World Wide Web, 2020
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
IEEE Trans. Knowl. Data Eng., 2020
IEEE Trans. Image Process., 2020
Pattern Recognit. Lett., 2020
Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020
J. Comput. Sci. Technol., 2020
Inf. Sci., 2020
Data Min. Knowl. Discov., 2020
CoRR, 2020
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
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
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
Proceedings of the Database Systems for Advanced Applications, 2020
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
World Wide Web, 2019
World Wide Web, 2019
World Wide Web, 2019
ACM Trans. Inf. Syst., 2019
ACM Trans. Intell. Syst. Technol., 2019
Proc. VLDB Endow., 2019
J. Comput. Sci. Technol., 2019
CoRR, 2019
Comput. Biol. Medicine, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
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
Proceedings of the Database Systems for Advanced Applications, 2019
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
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
World Wide Web, 2018
ACM Trans. Intell. Syst. Technol., 2018
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl. Based Syst., 2018
Future Gener. Comput. Syst., 2018
MCP: a multi-component learning machine for prediction of protein secondary structure.
CoRR, 2018
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
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
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
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
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
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
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
VLDB J., 2017
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
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
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
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
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
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the Web and Big Data - First International Joint Conference, 2017
Proceedings of the Web and Big Data - First International Joint Conference, 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
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
IEEE Trans. Knowl. Data Eng., 2016
ACM Trans. Intell. Syst. Technol., 2016
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the Databases Theory and Applications, 2016
2015
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
Proceedings of the Database Systems for Advanced Applications, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Proceedings of the Databases Theory and Applications, 2015
Proceedings of the Databases Theory and Applications, 2015
2014
Proceedings of the International Conference on Management of Data, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
2012
2011
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011