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Hongzhi Yin

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

226

Venues

23

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

226 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAISmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World.Jiaqi Zhang, Chen Gao, Liyuan Zhang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026DASFAALogicGate: Adaptive Rule-Based Modeling of Exogenous Effects for Time Series Forecasting.Jie Zhong, Tong Chen, Wei Yuan, Li-Zhen Cui, Hongzhi Yin
2026ICDEBoosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards.Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich, Thanh Tam Nguyen, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen
2026ICDEAn Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data.Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen
2026KDDProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation.Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2026WWWRelational Database Distillation: From Structured Tables to Condensed Graph Data.Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2026WWWEfficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026SIGIRProEchoMem: Enhancing Long Video Understanding via Multi-Trace Probe-Echo Memory.Derong Xu, Yanxin Chen, Wanyu Wang, Pengyue Jia, Chao Zhang, Maolin Wang, Yiqi Wang, Jipeng Qiang, Xuetao Wei, Hongzhi Yin, Tong Xu, Xiangyu Zhao
2026SIGIRLLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation.Hongzhi Yin, Wei Yuan, Yi Zhang, Joel Mackenzie, Quoc Viet Hung Nguyen, Wayne Xin Zhao, Yong Li, Lina Yao
2026SIGIRProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems.Yi Zhang, Yiwen Zhang, Kai Zheng, Tong Chen, Hongzhi Yin
2026SIGIRPrompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems.Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin
2026WSDMOn-Device Large Language Models for Sequential Recommendation.Xin Xia, Hongzhi Yin, Shane Culpepper
2025AAAIRethinking Cancer Gene Identification Through Graph Anomaly Analysis.Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu
2025AAAIEfficient Traffic Prediction Through Spatio-Temporal Distillation.Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin
2025ACLTraining-free LLM Merging for Multi-task Learning.Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025CIKMNR-GCF: Graph Collaborative Filtering with Improved Noise Resistance.Yijun Chen, Bohan Li, Yicong Li, Lixiang Song, Haofen Wang, Wenlong Wu, Junnan Zhuo, Hongzhi Yin
2025CIKMHarnessing Large Language Models for Group POI Recommendations.Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025CIKMEfficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025CIKMHGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning.Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin
2025ICDETraining-Free Heterogeneous Graph Condensation via Data Selection.Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2025ICDECADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao
2025ICDMTowards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025ICMLEnhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025KDDContrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025KDDFindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025KDDMulti-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao
2025KDDProgressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025KDDData Watermarking for Sequential Recommender Systems.Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2025WWWRethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025WWWEpidemiology-informed Network for Robust Rumor Detection.Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025WWWOn-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2025WWWGraph Condensation: Foundations, Methods and Prospects.Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang
2025WWWBiasNavi: LLM-Empowered Data Bias Management.Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq
2025WWWThe 3rd Workshop on Personal Intelligence with Generative AI.Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025SIGIRSTAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025SIGIRID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025SIGIRTowards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025SIGIRDiversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025WSDMTowards Secure and Robust Recommender Systems: A Data-Centric Perspective.Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2024ADMAMulti-task Learning of Heterogeneous Hypergraph Representations in LBSNs.Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen
2024CIKMPhysics-guided Active Sample Reweighting for Urban Flow Prediction.Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024CIKMEfficient and Robust Regularized Federated Recommendation.Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024CIKMScalable Dynamic Embedding Size Search for Streaming Recommendation.Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024CIKMWatermarking Recommender Systems.Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024CIKMPreference Prototype-Aware Learning for Universal Cross-Domain Recommendation.Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin
2024DASFAADisentangled Representations for Cross-Domain Recommendation via Heterogeneous Graph Contrastive Learning.Xinyue Liu, Bohan Li, Yijun Chen, Xiaoxue Li, Shuai Xu, Hongzhi Yin
2024DASFAAHyperbolic Adversarial Learning for Personalized Item Recommendation.Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin
2024ICDEGraph Condensation for Inductive Node Representation Learning.Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024ICDEAccelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024ICDEBOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2024ICDEUnraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024ICDEOpen-World Semi-Supervised Learning for Node Classification.Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
2024ICDEHeteFedRec: Federated Recommender Systems with Model Heterogeneity.Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024ICDEHide Your Model: A Parameter Transmission-free Federated Recommender System.Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2024ICDEBIM: Improving Graph Neural Networks with Balanced Influence Maximization.Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
2024KDDUnveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2024KDDHate Speech Detection with Generalizable Target-aware Fairness.Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
2024KDDGraph Condensation for Open-World Graph Learning.Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024KDDDiffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024RecSysDNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin
2024WWWPrompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2024WWWChallenging Low Homophily in Social Recommendation.Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024WWWPhysical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
2024WWWTowards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024WWWOn-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2024WWWDecentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024SIGIRLightweight Embeddings for Graph Collaborative Filtering.Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024SIGIRCaseLink: Inductive Graph Learning for Legal Case Retrieval.Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
2024SIGIRPoisoning Decentralized Collaborative Recommender System and Its Countermeasures.Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024WSDMMotif-based Prompt Learning for Universal Cross-domain Recommendation.Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2024WSDMBudgeted Embedding Table For Recommender Systems.Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024WSDMDefense Against Model Extraction Attacks on Recommender Systems.Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2023ACLKGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023CIKMTowards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023CIKMSemantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2023CIKMSelf-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
2023CIKMCausality-guided Graph Learning for Session-based Recommendation.Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
2023ICDEEfficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen
2023ICDEDisconnected Emerging Knowledge Graph Oriented Inductive Link Prediction.Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao
2023ICDEMMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning.Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao
2023ICDMLearning Compact Compositional Embeddings via Regularized Pruning for Recommendation.Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023ICDMTo Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
2023KDDEfficient Bi-Level Optimization for Recommendation Denoising.Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023WWWSemi-decentralized Federated Ego Graph Learning for Recommendation.Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023WWWInteraction-level Membership Inference Attack Against Federated Recommender Systems.Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023SIGIRModel-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
2023SIGIRContinuous Input Embedding Size Search For Recommender Systems.Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023SIGIRManipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023SIGIRDREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023WSDMSimplifying Graph-based Collaborative Filtering for Recommendation.Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
2023WSDMKnowledge Enhancement for Contrastive Multi-Behavior Recommendation.Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin
2023WSDMLearning to Distill Graph Neural Networks.Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
2023WSDMFederated Unlearning for On-Device Recommendation.Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2022CIKMLocality Aware Temporal FMs for Crime Prediction.Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin
2022DASFAAHyperbolic Personalized Tag Recommendation.Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
2022ECCVSwitchable Online Knowledge Distillation.Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang
2022ICDEUniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2022ICDENetwork Alignment with Holistic Embeddings (Extended Abstract).Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen
2022ICDEexRumourLens: Auditable Rumour Detection with Multi-View Explanations.Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2022ICDEDiverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao
2022ICDMBeyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.Ruihong Qiu, Zi Huang, Hongzhi Yin
2022ISSTACIRCLE: continual repair across programming languages.Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs.Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen
2022WWWUnified Question Generation with Continual Lifelong Learning.Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022SIGIROn-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022SIGIRThinking inside The Box: Learning Hypercube Representations for Group Recommendation.Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
2022SIGIRSingle-shot Embedding Dimension Search in Recommender System.Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2022SIGIRAre Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
2022WSDMContrastive Learning for Representation Degeneration Problem in Sequential Recommendation.Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
2022WSDMPipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
2021AAAISelf-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021CIKMSelf-Supervised Graph Co-Training for Session-based Recommendation.Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021CIKMLightweight Self-Attentive Sequential Recommendation.Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
2021CIKMA Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network.Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin
2021CIKMGDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction.Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin
2021CIKMDouble-Scale Self-Supervised Hypergraph Learning for Group Recommendation.Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021CIKMInternational Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021).Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin
2021ICDEDDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks.Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
2021ICDEReliable Recommendation with Review-level Explanations.Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng
2021ICDEEntity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Nguyen Quoc Viet Hung
2021ICDEGallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2021ICDMMemory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation.Ruihong Qiu, Zi Huang, Hongzhi Yin
2021IJCAIDA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
2021IJCAIDiscovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
2021KDDLearning Elastic Embeddings for Customizing On-Device Recommenders.Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021KDDImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021KDDSocially-Aware Self-Supervised Tri-Training for Recommendation.Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021KDDWhere are we in embedding spaces?Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2021WWWMulti-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks.Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao
2021WWWSelf-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021WWWAdapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection.Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin
2021WWWGraph Embedding for Recommendation against Attribute Inference Attacks.Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021SIGIREnhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin
2021SIGIRLearning to Ask Appropriate Questions in Conversational Recommendation.Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
2021SIGIRDecoupling Representation Learning and Classification for GNN-based Anomaly Detection.Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen
2021SIGIRPrivacy Protection in Deep Multi-modal Retrieval.Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin
2021WSDMTemporal Meta-path Guided Explainable Recommendation.Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021WSDMPre-Training Graph Neural Networks for Cold-Start Users and Items Representation.Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen
2021WSDMHeterogeneous Hypergraph Embedding for Graph Classification.Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2020AAAIWhere to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
2020DASFAADecentralized Embedding Framework for Large-Scale Networks.Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
2020DASFAANeural Pairwise Ranking Factorization Machine for Item Recommendation.Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin
2020DASFAAEPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors.Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou
2020ICDESequence-Aware Factorization Machines for Temporal Predictive Analytics.Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2020ICDEGraph Embeddings for One-pass Processing of Heterogeneous Queries.Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2020ICDEGroup Recommendation with Latent Voting Mechanism.Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui
2020ICDEAdaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung
2020IJCAIDiscovering Subsequence Patterns for Next POI Recommendation.Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing
2020KDDMulti-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020WWWNext Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
2020SIGIRTry This Instead: Personalized and Interpretable Substitute Recommendation.Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020SIGIRFactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen
2020SIGIRGAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020SIGIRGCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2019AAAIFind a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan
2019CIKMRethinking the Item Order in Session-based Recommendation with Graph Neural Networks.Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin
2019CIKMWhat Can History Tell Us?Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
2019DASFAABLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao
2019DASFAASemi-supervised Clustering with Deep Metric Learning.Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang Zhou
2019DASFAAMulti-hop Path Queries over Knowledge Graphs with Neural Memory Networks.Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
2019ICDEExploiting Centrality Information with Graph Convolutions for Network Representation Learning.Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li
2019ICDEAIR: Attentional Intention-Aware Recommender Systems.Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li
2019ICDESocial Influence-Based Group Representation Learning for Group Recommendation.Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou
2019ICDMGenerating Reliable Friends via Adversarial Training to Improve Social Recommendation.Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019IJCAIInferring Substitutable Products with Deep Network Embedding.Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
2019KDDStreaming Session-based Recommendation.Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung
2019KDDOrigin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng
2019KDDEnhancing Collaborative Filtering with Generative Augmentation.Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2019SIGIROnline User Representation Learning Across Heterogeneous Social Networks.Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Quoc Viet Hung Nguyen
2018ADCTSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang
2018CIKMAdaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018DASFAAA Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud.Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin, Lei Zhao
2018DASFAAExploiting Reshaping Subgraphs from Bilateral Propagation Graphs.Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici, Xiaofang Zhou
2018DASFAAPublishing Graph Node Strength Histogram with Edge Differential Privacy.Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin, Lei Zhao
2018DASFAARestricted Boltzmann Machine Based Active Learning for Sparse Recommendation.Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung
2018DASFAAModeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation.Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin, Xiaofang Zhou, Jin Wang, Chunxiao Xing
2018ICDEEffective and Efficient User Account Linkage across Location Based Social Networks.Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Xiaofang Zhou
2018ICDEWhat-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.Quoc Viet Hung Nguyen, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Thanh Tam Nguyen, Bela Stantic
2018ICDEComputing Crowd Consensus with Partial Agreement.Quoc Viet Hung Nguyen, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou
2018ICDEJoint Event-Partner Recommendation in Event-Based Social Networks.Hongzhi Yin, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, Xiaofang Zhou
2018ICDMTADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li
2018IJCAILC-RNN: A Deep Learning Model for Traffic Speed Prediction.Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
2018IJCNNTowards the Learning of Weighted Multi-label Associative Classifiers.Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin
2018KDDPME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li
2018KDDNeural Memory Streaming Recommender Networks with Adversarial Training.Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018KDDStockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang
2018KDDDiscrete Ranking-based Matrix Factorization with Self-Paced Learning.Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang
2018MDMMining Subgraphs from Propagation Networks through Temporal Dynamic Analysis.Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Yuval Elovici, Xiaofang Zhou
2018PAKDDCall Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang
2018SIGIRStreaming Ranking Based Recommender Systems.Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen
2018WISEEliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs.Lingjiao Lu, Junhua Fang, Pengpeng Zhao, Jiajie Xu, Hongzhi Yin, Lei Zhao
2018WISEUnified User and Item Representation Learning for Joint Recommendation in Social Network.Jiali Yang, Zhixu Li, Hongzhi Yin, Pengpeng Zhao, An Liu, Zhigang Chen, Lei Zhao
2018WISEExtracting Representative User Subset of Social Networks Towards User Characteristics and Topological Features.Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2018WSDMDiscrete Deep Learning for Fast Content-Aware Recommendation.Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian
2017AAAIAn Integrated Model for Effective Saliency Prediction.Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen
2017ADMAGroup Recommender Model Based on Preference Interaction.Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan, Xiaolin Qin
2017APWEBA Time and Sentiment Unification Model for Personalized Recommendation.Qinyong Wang, Hongzhi Yin, Hao Wang
2017APWEBTime-Constrained Graph Pattern Matching in a Large Temporal Graph.Yanxia Xu, Jinjing Huang, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2017CIKMExploiting Spatio-Temporal User Behaviors for User Linkage.Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Wen Hua, Xiaofang Zhou
2017DASFAAJointly Modeling Heterogeneous Temporal Properties in Location Recommendation.Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Xiaofang Zhou, Shazia Sadiq
2017ICDEMobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou
2017ICDMSPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen
2017IJCAIRetaining Data from Streams of Social Platforms with Minimal Regret.Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung
2017KDDA Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
2017WWWPeople Opinion Topic Model: Opinion based User Clustering in Social Networks.Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen
2017WWWUnderstanding the User Display Names across Social Networks.Yongjun Li, You Peng, Zhen Zhang, Quanqing Xu, Hongzhi Yin
2017WWWRecommendation in Context-Rich Environment: An Information Network Analysis Approach.Yizhou Sun, Hongzhi Yin, Xiang Ren
2017WISEInfluenced Nodes Discovery in Temporal Contact Network.Jinjing Huang, Tianqiao Lin, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2016ADCUsing Detected Visual Objects to Index Video Database.Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou
2016CIKMLearning Graph-based POI Embedding for Location-based Recommendation.Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang
2016ICDESPORE: A sequential personalized spatial item recommender system.Weiqing Wang, Hongzhi Yin, Shazia Sadiq, Ling Chen, Min Xie, Xiaofang Zhou
2016ICDEDiscovering interpretable geo-social communities for user behavior prediction.Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Sadiq
2016ICDEKeyword-aware continuous kNN query on road networks.Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, GuoHui Li
2016WISEGraph-Based Metric Embedding for Next POI Recommendation.Min Xie, Hongzhi Yin, Fanjiang Xu, Hao Wang, Xiaofang Zhou
2015ADCPredicting Passengers in Public Transportation Using Smart Card Data.Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo
2015ADCPredicting Users' Purchasing Behaviors Using Their Browsing History.Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo
2015CIKMJoint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Sadiq
2015DASFAADiscovering Organized POI Groups in a City.Yanxia Xu, Guanfeng Liu, Hongzhi Yin, Jiajie Xu, Kai Zheng, Lei Zhao
2015ICDEDistinguishing re-sharing behaviors from re-creating behaviors in information diffusion.Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu
2015KDDGeo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015WISEGeographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation.Huimin Wu, Jie Shao, Hongzhi Yin, Heng Tao Shen, Xiaofang Zhou
2014SIGMODA temporal context-aware model for user behavior modeling in social media systems.Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang
2013ICDEA unified model for stable and temporal topic detection from social media data.Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao
2013KDDLCARS: a location-content-aware recommender system.Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen
2011ADMAFinding a Wise Group of Experts in Social Networks.Hongzhi Yin, Bin Cui, Yuxin Huang