Hongzhi Yin

641 papers A* 128A 43B 2C 1Misc 4Journal 404Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive survey on imbalanced data learning.
Frontiers Comput. Sci.
Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Chong Chen, Conghui He, Hongzhi Yin, Wentao Zhang
2026 J jnl
A review of instruction-guided image editing.
Eng. Appl. Artif. Intell.
Thanh Tam Nguyen, Zhao Ren, Trinh Pham, Phi Le Nguyen, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
A survey on sequential recommendation.
Frontiers Comput. Sci.
Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming
2026 J jnl
ARLIE: Adaptive Reinforcement Learning With Inductive Embeddings for Fully-Inductive Multi-Hop Reasoning Over Temporal Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Shangfei Zheng, Yunjun Gao, An Liu, Wenhao Li, Tong Chen, Hongzhi Yin
2026 J jnl
Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data.
CoRR
Trinh Pham, Thanh Tam Nguyen, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen
2026 J jnl
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Wenjie Li, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.
WWW
Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026 J jnl
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection.
CoRR
Hung Vinh Tran, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2026 J jnl
Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2026 J jnl
Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts.
CoRR
Haiyang Jiang, Tong Chen, Xinyi Gao, Guansong Pang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
Federated Learning and Unlearning for Recommendation with Personalized Data Sharing.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Shangfei Zheng, Lu Chen, Chengfei Liu, Hongzhi Yin
2026 J jnl
Handling data sparsity and model poisoning attacks in federated sequential recommender systems.
Knowl. Based Syst.
Minh Hieu Nguyen, Thanh Tam Nguyen, Jun Jo, Duc Anh Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2026 J jnl
Integrating Vision-Centric Text Understanding for Conversational Recommender Systems.
CoRR
Wei Yuan, Shutong Qiao, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Hongzhi Yin
2026 J jnl
Know What You Know: Metacognitive Entropy Calibration for Verifiable RL Reasoning.
CoRR
Qiannian Zhao, Chen Yang, Jinhao Jing, Yunke Zhang, Xuhui Ren, Lu Yu, Shijie Zhang, Hongzhi Yin
2026 J jnl
LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection.
CoRR
Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin
2026 A conf
On-Device Large Language Models for Sequential Recommendation.
WSDM
Xin Xia, Hongzhi Yin, Shane Culpepper
2026 J jnl
On-Device Large Language Models for Sequential Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Shane Culpepper
2026 J jnl
PPA++: Preference Prototype-Aware Learning with Large Language Model for Universal Cross-Domain Recommendation.
Data Sci. Eng.
Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Ning Wang, Huawei Tu, Lei Guo, Hongzhi Yin
2026 — conf
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation.
KDD (1)
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2026 J jnl
Reasoning Pattern Alignment Merging for Adaptive Reasoning.
CoRR
Zhaofeng Zhong, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
WWW
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2026 J jnl
SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation.
CoRR
Ruiqi Zheng, Jinli Cao, Jiao Yin, Hongzhi Yin
2026 J jnl
SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning.
CoRR
Yicheng Di, Wei Yuan, Tieke He, Zhanjie Zhang, Ao Ma, Yuan Liu, Hongzhi Yin
2026 J jnl
Scalable and effective negative sample generation for hyperedge prediction.
Neural Networks
Shilin Qu, Weiqing Wang, Yuan-Fang Li, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 A* conf
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World.
AAAI
Jiaqi Zhang, Chen Gao, Liyuan Zhang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
Sparse Gradient Training for Recommender Systems.
Data Sci. Eng.
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2026 J jnl
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
ACM Trans. Intell. Syst. Technol.
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2026 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
ACM Trans. Inf. Syst.
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2026 J jnl
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study.
CoRR
Shutong Qiao, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
ZhiFangDanTai: Fine-Tuning Graph-Based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula.
IEEE J. Biomed. Health Informatics
Zixuan Zhang, Bowen Hao, Yingjie Li, Hongzhi Yin
2025 J jnl
A Comprehensive Survey on Imbalanced Data Learning.
CoRR
Xinyi Gao, Dongting Xie, Yihang Zhang, Zhengren Wang, Conghui He, Hongzhi Yin, Wentao Zhang
2025 J jnl
A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Zhiqiang Zhang, Weiqing Wang, Xin Zhou, Yu Bai, Hongzhi Yin
2025 J jnl
A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback.
CoRR
Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich, Thanh Tam Nguyen, Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 J jnl
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.
CoRR
Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He
2025 J jnl
A Survey of Machine Unlearning.
ACM Trans. Intell. Syst. Technol.
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 J jnl
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.
IEEE Trans. Knowl. Data Eng.
Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin
2025 J jnl
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
ACM Trans. Inf. Syst.
Hung Vinh Tran, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang, Lizhen Cui, Hongzhi Yin
2025 J jnl
Automated Prompting for Non-Overlapping Cross-Domain Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin
2025 J jnl
Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis.
CoRR
Qianru Zhang, Peng Yang, Honggang Wen, Xinzhu Li, Haixin Wang, Fang Sun, Zezheng Song, Zhichen Lai, Rui Ma, Ruihua Han, Tailin Wu, Siu-Ming Yiu, Yizhou Sun, Hongzhi Yin
2025 — conf
BiasNavi: LLM-Empowered Data Bias Management.
WWW (Companion Volume)
Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq
2025 A* conf
CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
ICDE
Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao
2025 J jnl
Certified Unlearning for Federated Recommendation.
ACM Trans. Inf. Syst.
Thanh Trung Huynh, Trong Bang Nguyen, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2025 J jnl
Cloud-Device Collaborative Agents for Sequential Recommendation.
CoRR
Jing Long, Sirui Huang, Huan Huo, Tong Chen, Hongzhi Yin, Guandong Xu
2025 J jnl
Coherence-guided Preference Disentanglement for Cross-domain Recommendations.
ACM Trans. Inf. Syst.
Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang
2025 — conf
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
KDD (2)
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 J jnl
Contrastive Translation With Dynamical Temperature for Sequential Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Aoran Zhang, Yonghong Yu, Li Zhang, Rong Gao, Hongzhi Yin
2025 J jnl
Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion.
CoRR
Shutong Qiao, Wei Yuan, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 — conf
Data Watermarking for Sequential Recommender Systems.
KDD (2)
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2025 J jnl
DecKG: Decentralized collaborative learning with knowledge graph enhancement for POI recommendation.
Inf. Sci.
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2025 A* conf
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.
SIGIR
Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025 J jnl
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.
CoRR
Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025 J jnl
Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2025 A conf
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A* conf
Efficient Traffic Prediction Through Spatio-Temporal Distillation.
AAAI
Qianru Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin
2025 J jnl
Efficient Traffic Prediction Through Spatio-Temporal Distillation.
CoRR
Qianru Zhang, Xinyi Gao, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin
2025 J jnl
Enhancing Language Models with Commonsense Knowledge for Multi-turn Response Selection.
Int. J. Mach. Learn. Cybern.
Yuandong Wang, Xuhui Ren, Tong Chen, Hongzhi Yin, Nguyen Quoc Viet Hung
2025 A* conf
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.
ICML
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 J jnl
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective.
CoRR
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 A* conf
Epidemiology-informed Network for Robust Rumor Detection.
WWW
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction.
CoRR
Qianru Zhang, Chenglei Yu, Haixin Wang, Yudong Yan, Yuansheng Cao, Siu-Ming Yiu, Tailin Wu, Hongzhi Yin
2025 — conf
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
KDD (2)
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 J jnl
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation.
CoRR
Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, Shanshan Ye, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu
2025 J jnl
Graph Condensation: A Survey.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025 — conf
Graph Condensation: Foundations, Methods and Prospects.
WWW (Companion Volume)
Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang
2025 A conf
HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning.
CIKM
Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin
2025 J jnl
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks.
ACM Trans. Inf. Syst.
Jingwei Ma, Jiahui Wen, Lei Zhu, Mingyang Zhong, Yang Xu, Lei Guo, Hongzhi Yin
2025 J jnl
HMamba: Hyperbolic Mamba for Sequential Recommendation.
CoRR
Qianru Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin
2025 J jnl
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer.
IEEE Trans. Knowl. Data Eng.
Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew
2025 A conf
Harnessing Large Language Models for Group POI Recommendations.
CIKM
Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A* conf
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.
SIGIR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025 J jnl
Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive Recommendation.
ACM Trans. Intell. Syst. Technol.
Hongrui Xuan, Bohan Li, Wenlong Wu, Yi Liu, Hongzhi Yin
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
CoRR
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 J jnl
M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation.
CoRR
Qianru Zhang, Liang Qu, Honggang Wen, Dong Huang, Siu-Ming Yiu, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 J jnl
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
ACM Comput. Surv.
Thanh Toan Nguyen, Nguyen Quoc Viet Hung, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin
2025 — conf
Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts.
ECML/PKDD (3)
Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin
2025 J jnl
Multi-agents based User Values Mining for Recommendation.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 — conf
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.
KDD (2)
Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao
2025 J jnl
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems.
CoRR
Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Zhao-Xiang Zhang
2025 A conf
NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance.
CIKM
Yijun Chen, Bohan Li, Yicong Li, Lixiang Song, Haofen Wang, Wenlong Wu, Junnan Zhuo, Hongzhi Yin
2025 J jnl
On Mitigating Data Sparsity in Conversational Recommender Systems.
CoRR
Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2025 A* conf
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
WWW
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2025 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2025 J jnl
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang
2025 J jnl
Privacy-preserving explainable AI: a survey.
Sci. China Inf. Sci.
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 J jnl
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation.
CoRR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 — conf
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
KDD (1)
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025 J jnl
Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Penghui Ruan, Yuhui Shi, Hongzhi Yin
2025 J jnl
Relational Database Distillation: From Structured Tables to Condensed Graph Data.
CoRR
Xinyi Gao, Jingxi Zhang, Lijian Chen, Tong Chen, Lizhen Cui, Hongzhi Yin
2025 A* conf
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis.
AAAI
Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu
2025 A* conf
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
WWW
Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025 J jnl
RobGC: Towards Robust Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2025 J jnl
Robust federated contrastive recommender system against targeted model poisoning attack.
Sci. China Inf. Sci.
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Yupeng Hou, Shazia Sadiq, Hongzhi Yin
2025 A* conf
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
SIGIR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 J jnl
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.
CoRR
Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao
2025 J jnl
Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers.
CoRR
Thanh Dat Hoang, Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen
2025 J jnl
Special topic on cloud-edge collaboration for on-device recommendation.
Sci. China Inf. Sci.
Hongzhi Yin, Bin Cui, Xiaofang Zhou, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang
2025 J jnl
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding.
CoRR
Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin
2025 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2025 — conf
The 3rd Workshop on Personal Intelligence with Generative AI.
WWW (Companion Volume)
Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025 A* conf
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.
SIGIR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 J jnl
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation.
CoRR
Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin
2025 J jnl
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
CoRR
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2025 A* conf
Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.
ICDM
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 A conf
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
WSDM
Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025 A* conf
Training-Free Heterogeneous Graph Condensation via Data Selection.
ICDE
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Watermarking Large Language Model-based Time Series Forecasting.
CoRR
Wei Yuan, Chaoqun Yang, Yu Xing, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2025 J jnl
ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula.
CoRR
Zixuan Zhang, Bowen Hao, Yingjie Li, Hongzhi Yin
2024 J jnl
A Survey of Generative Techniques for Spatial-Temporal Data Mining.
CoRR
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen
2024 J jnl
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2024 J jnl
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.
CoRR
Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin
2024 J jnl
A Survey on Sequential Recommendation.
CoRR
Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming
2024 J jnl
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR
Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin
2024 J jnl
A dual benchmarking study of facial forgery and facial forensics.
CAAI Trans. Intell. Technol.
Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen
2024 A* conf
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
ICDE
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst.
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
Automated Similarity Metric Generation for Recommendation.
CoRR
Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
2024 A* conf
BIM: Improving Graph Neural Networks with Balanced Influence Maximization.
ICDE
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
2024 A* conf
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
ICDE
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2024 J jnl
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.
IEEE Trans. Knowl. Data Eng.
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2024 J jnl
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.
CoRR
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
2024 A conf
Budgeted Embedding Table For Recommender Systems.
WSDM
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao
2024 A* conf
CaseLink: Inductive Graph Learning for Legal Case Retrieval.
SIGIR
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
2024 J jnl
CaseLink: Inductive Graph Learning for Legal Case Retrieval.
CoRR
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
2024 A* conf
Challenging Low Homophily in Social Recommendation.
WWW
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Challenging Low Homophily in Social Recommendation.
CoRR
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
Coherence-guided Preference Disentanglement for Cross-domain Recommendations.
CoRR
Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang
2024 J jnl
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks.
IEEE Trans. Knowl. Data Eng.
Shijie Zhang, Wei Yuan, Hongzhi Yin
2024 J jnl
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning.
CoRR
Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2024 A conf
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.
RecSys
Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin
2024 J jnl
Data Watermarking for Sequential Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Guanhua Ye, Tong Chen, Yuhui Shi, Hongzhi Yin
2024 A* conf
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
WWW
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 A conf
Defense Against Model Extraction Attacks on Recommender Systems.
WSDM
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2024 A* conf
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
KDD
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations.
CoRR
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
2024 — conf
Disentangled Representations for Cross-Domain Recommendation via Heterogeneous Graph Contrastive Learning.
DASFAA (3)
Xinyue Liu, Bohan Li, Yijun Chen, Xiaoxue Li, Shuai Xu, Hongzhi Yin
2024 A* conf
Distribution-Aware Data Expansion with Diffusion Models.
NeurIPS
Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang
2024 J jnl
Distribution-Aware Data Expansion with Diffusion Models.
CoRR
Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang
2024 J jnl
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR
Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
2024 A conf
Efficient and Robust Regularized Federated Recommendation.
CIKM
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 J jnl
Efficient and Robust Regularized Federated Recommendation.
CoRR
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 J jnl
Epidemiology-informed Network for Robust Rumor Detection.
CoRR
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2024 J jnl
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
ACM Trans. Intell. Syst. Technol.
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models.
CoRR
Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang
2024 A* conf
Graph Condensation for Inductive Node Representation Learning.
ICDE
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 A* conf
Graph Condensation for Open-World Graph Learning.
KDD
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation for Open-World Graph Learning.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
2024 J jnl
Graph Condensation: A Survey.
CoRR
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
2024 J jnl
Graph Masked Autoencoder for Spatio-Temporal Graph Learning.
CoRR
Qianru Zhang, Haixin Wang, Siu-Ming Yiu, Hongzhi Yin
2024 A* conf
Hate Speech Detection with Generalizable Target-aware Fairness.
KDD
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
2024 J jnl
Hate Speech Detection with Generalizable Target-aware Fairness.
CoRR
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
2024 A* conf
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
ICDE
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024 J jnl
Heterogeneous Hypergraph Embedding for Recommendation Systems.
CoRR
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2024 J jnl
Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol.
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing.
Knowl. Based Syst.
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
2024 A* conf
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
ICDE
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2024 J jnl
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.
Inf. Sci.
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
2024 — conf
Hyperbolic Adversarial Learning for Personalized Item Recommendation.
DASFAA (3)
Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin
2024 J jnl
Hyperbolic Translation-Based Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yonghong Yu, Aoran Zhang, Li Zhang, Rong Gao, Shang Gao, Hongzhi Yin
2024 J jnl
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era.
CoRR
Thanh Tam Nguyen, Zhao Ren, Trinh Pham, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2024 J jnl
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol.
Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun Hyung Jo, Quoc Viet Hung Nguyen
2024 J jnl
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2024 J jnl
LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation.
CoRR
Shutong Qiao, Chen Gao, Yong Li, Hongzhi Yin
2024 A* conf
Lightweight Embeddings for Graph Collaborative Filtering.
SIGIR
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
Lightweight Embeddings for Graph Collaborative Filtering.
CoRR
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
2024 J jnl
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
CoRR
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
2024 J jnl
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
ACM Trans. Inf. Syst.
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
2024 J jnl
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
CoRR
Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin
2024 J jnl
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.
ACM Trans. Inf. Syst.
Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 A conf
Motif-based Prompt Learning for Universal Cross-domain Recommendation.
WSDM
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2024 J jnl
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios.
IEEE Trans. Knowl. Data Eng.
Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao
2024 J jnl
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2024 — conf
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs.
ADMA (3)
Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, Jun Jo, Hongzhi Yin, Thanh Tam Nguyen
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 — conf
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
WWW (Companion Volume)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2024 J jnl
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective.
CoRR
Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 J jnl
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation.
World Wide Web (WWW)
Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin
2024 A* conf
Open-World Semi-Supervised Learning for Node Classification.
ICDE
Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
2024 J jnl
Open-World Semi-Supervised Learning for Node Classification.
CoRR
Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
2024 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2024 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
IEEE Trans. Knowl. Data Eng.
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 A* conf
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
WWW
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
CoRR
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 A conf
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CIKM
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CoRR
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
Poisoning Attacks against Recommender Systems: A Survey.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq
2024 J jnl
Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024 A* conf
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
SIGIR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2024 J jnl
Portable graph-based rumour detection against multi-modal heterophily.
Knowl. Based Syst.
Thanh Tam Nguyen, Zhao Ren, Thanh Toan Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A conf
Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation.
CIKM
Yuxi Zhang, Ji Zhang, Feiyang Xu, Lvying Chen, Bohan Li, Lei Guo, Hongzhi Yin
2024 J jnl
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation.
CoRR
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2024 A* conf
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.
WWW
Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.
CoRR
Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
ROIC-DM: Robust Text Inference and Classification via Diffusion Model.
CoRR
Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Rethinking Cancer Gene Identification through Graph Anomaly Analysis.
CoRR
Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian J. Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu
2024 J jnl
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
RobGC: Towards Robust Graph Condensation.
CoRR
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
2024 J jnl
Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A conf
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CIKM
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Scalable Dynamic Embedding Size Search for Streaming Recommendation.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Scalable and Effective Negative Sample Generation for Hyperedge Prediction.
CoRR
Shilin Qu, Weiqing Wang, Yuan-Fang Li, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2024 J jnl
SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World.
CoRR
Jiaqi Zhang, Chen Gao, Liyuan Zhang, Yong Li, Hongzhi Yin
2024 J jnl
Sparser Training for On-Device Recommendation Systems.
CoRR
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2024 J jnl
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR
Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin
2024 J jnl
Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR
Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin
2024 J jnl
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference.
CoRR
Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin
2024 J jnl
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
2024 J jnl
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT.
IEEE Trans. Ind. Informatics
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
WWW
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
CoRR
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Training-free Heterogeneous Graph Condensation via Data Selection.
CoRR
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2024 J jnl
Unleashing the Power of Large Language Models for Group POI Recommendations.
CoRR
Jing Long, Liang Qu, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
ICDE
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024 A* conf
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.
KDD
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2024 J jnl
Variational Counterfactual Prediction Under Runtime Domain Corruption.
IEEE Trans. Knowl. Data Eng.
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2024 A conf
Watermarking Recommender Systems.
CIKM
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
Watermarking Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
A Multi-strategy-based Pre-training Method for Cold-start Recommendation.
ACM Trans. Inf. Syst.
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
2023 J jnl
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
CoRR
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2023 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
AutoML for Deep Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2023 J jnl
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin
2023 J jnl
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection.
CoRR
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2023 J jnl
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation.
CoRR
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2023 J jnl
Budgeted Embedding Table For Recommender Systems.
CoRR
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A conf
Causality-guided Graph Learning for Session-based Recommendation.
CIKM
Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
2023 A* conf
Continuous Input Embedding Size Search For Recommender Systems.
SIGIR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 J jnl
Continuous Input Embedding Size Search For Recommender Systems.
CoRR
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023 A* conf
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
SIGIR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 J jnl
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 — ed.
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I
DASFAA (1)
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin
2023 — ed.
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II
DASFAA (2)
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin
2023 — ed.
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part III
DASFAA (3)
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin
2023 — ed.
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV
DASFAA (4)
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin
2023 — ed.
Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings
DASFAA (Workshops)
Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin
2023 J jnl
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
2023 J jnl
Decentralized Collaborative Learning Framework for Next POI Recommendation.
ACM Trans. Inf. Syst.
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Deep MinCut: Learning Node Embeddings by Detecting Communities.
Pattern Recognit.
Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen
2023 J jnl
Defense Against Model Extraction Attacks on Recommender Systems.
CoRR
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2023 J jnl
Detecting rumours with latency guarantees using massive streaming data.
VLDB J.
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen
2023 A* conf
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction.
ICDE
Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao
2023 J jnl
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
2023 A* conf
Efficient Bi-Level Optimization for Recommendation Denoising.
KDD
Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023 J jnl
Efficient On-Device Session-Based Recommendation.
ACM Trans. Inf. Syst.
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 A* conf
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).
ICDE
Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen
2023 J jnl
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
CoRR
Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin
2023 A conf
Federated Unlearning for On-Device Recommendation.
WSDM
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2023 J jnl
Graph Condensation for Inductive Node Representation Learning.
CoRR
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2023 J jnl
HFUL: a hybrid framework for user account linkage across location-aware social networks.
VLDB J.
Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou
2023 J jnl
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
CoRR
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2023 J jnl
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 J jnl
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 J jnl
Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR
Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
2023 A* conf
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
WWW
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 J jnl
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
CoRR
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 J jnl
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph.
IEEE Trans. Knowl. Data Eng.
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh
2023 J jnl
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR
Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 — conf
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
ACL (1)
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 J jnl
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
CoRR
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 A conf
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation.
WSDM
Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin
2023 J jnl
Knowledge Enhancement for Multi-Behavior Contrastive Recommendation.
CoRR
Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin
2023 A* conf
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
ICDM
Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 J jnl
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
CoRR
Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 J jnl
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.
IEEE Trans. Knowl. Data Eng.
Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung
2023 A conf
Learning to Distill Graph Neural Networks.
WSDM
Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
2023 J jnl
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs.
CoRR
Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
2023 J jnl
Local feature-based mutual complexity for pixel-value-ordering reversible data hiding.
Signal Process.
Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin
2023 A* conf
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning.
ICDE
Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao
2023 A* conf
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
SIGIR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023 J jnl
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
CoRR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023 J jnl
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures.
CoRR
Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A* conf
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
SIGIR
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
CoRR
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin
2023 J jnl
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation.
CoRR
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2023 J jnl
Network Alignment With Holistic Embeddings.
IEEE Trans. Knowl. Data Eng.
Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen
2023 J jnl
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm.
CoRR
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
2023 J jnl
PUMA: Efficient Continual Graph Learning with Graph Condensation.
CoRR
Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang
2023 J jnl
Personalized Elastic Embedding Learning for On-Device Recommendation.
CoRR
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
2023 J jnl
Poisoning Attacks Against Contrastive Recommender Systems.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023 J jnl
Proactive Privacy-preserving Learning for Cross-modal Retrieval.
ACM Trans. Inf. Syst.
Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang
2023 J jnl
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2023 J jnl
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst.
Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng
2023 J jnl
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
2023 J jnl
Scalable maximal subgraph mining with backbone-preserving graph convolutions.
Inf. Sci.
Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen
2023 J jnl
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs.
IEEE Trans. Knowl. Data Eng.
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
2023 A conf
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
CIKM
Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
2023 J jnl
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
CoRR
Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
2023 J jnl
Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng.
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2023 A conf
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CIKM
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2023 J jnl
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
CoRR
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A* conf
Semi-decentralized Federated Ego Graph Learning for Recommendation.
WWW
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 J jnl
Semi-decentralized Federated Ego Graph Learning for Recommendation.
CoRR
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 A conf
Simplifying Graph-based Collaborative Filtering for Recommendation.
WSDM
Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
2023 J jnl
Spatial-temporal meta-path guided explainable crime prediction.
World Wide Web (WWW)
Yuting Sun, Tong Chen, Hongzhi Yin
2023 J jnl
Special Issue of DASFAA 2023.
Data Sci. Eng.
Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin
2023 J jnl
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection.
IEEE Trans. Knowl. Data Eng.
Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen
2023 J jnl
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng.
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
2023 J jnl
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT.
CoRR
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A* conf
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
ICDM
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
2023 J jnl
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data.
CoRR
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
2023 A conf
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CIKM
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023 J jnl
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation.
CoRR
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 J jnl
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2.
ACM Trans. Inf. Syst.
Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas
2023 J jnl
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2023 J jnl
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2023 J jnl
Variational Counterfactual Prediction under Runtime Domain Corruption.
CoRR
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2023 J jnl
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.
IEEE Trans. Big Data
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2022 J jnl
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen
2022 J jnl
A Survey of Machine Unlearning.
CoRR
Thanh Tam Nguyen, Thanh Trung Huynh, Phi Le Nguyen, Alan Wee-Chung Liew, Hongzhi Yin, Quoc Viet Hung Nguyen
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
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
2022 A* conf
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
SIGIR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
2022 J jnl
AutoML for Deep Recommender Systems: A Survey.
CoRR
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin
2022 A* conf
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.
ICDM
Ruihong Qiu, Zi Huang, Hongzhi Yin
2022 J jnl
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.
CoRR
Ruihong Qiu, Zi Huang, Hongzhi Yin
2022 J jnl
CIRCLE: Continual Repair across Programming Languages.
CoRR
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 A conf
CIRCLE: continual repair across programming languages.
ISSTA
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 A* conf
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs.
WWW
Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen
2022 J jnl
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks.
CoRR
Shijie Zhang, Hongzhi Yin
2022 A conf
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
WSDM
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
2022 J jnl
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks.
CoRR
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
2022 J jnl
Decentralized Collaborative Learning Framework for Next POI Recommendation.
CoRR
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
2022 J jnl
Deep Pairwise Hashing for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2022 J jnl
Detecting Rumours with Latency Guarantees using Massive Streaming Data.
CoRR
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen
2022 J jnl
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction.
CoRR
Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao
2022 A* conf
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.
ICDE
Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao
2022 J jnl
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.
CoRR
Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao
2022 J jnl
Efficient Graph Neural Network Inference at Large Scale.
CoRR
Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2022 J jnl
Efficient On-Device Session-Based Recommendation.
CoRR
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2022 J jnl
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding.
IEEE Trans. Knowl. Data Eng.
Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen
2022 J jnl
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2022 J jnl
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen
2022 J jnl
Exploiting Positional Information for Session-Based Recommendation.
ACM Trans. Inf. Syst.
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
2022 J jnl
Fast-adapting and privacy-preserving federated recommender system.
VLDB J.
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2022 J jnl
Federated Unlearning for On-Device Recommendation.
CoRR
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2022 J jnl
HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks.
CoRR
Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou
2022 J jnl
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing.
CoRR
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
2022 J jnl
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation.
ACM Trans. Inf. Syst.
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2022 — conf
Hyperbolic Personalized Tag Recommendation.
DASFAA (2)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
2022 J jnl
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I.
ACM Trans. Intell. Syst. Technol.
Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin
2022 J jnl
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II.
ACM Trans. Intell. Syst. Technol.
Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin
2022 J jnl
LECF: recommendation via learnable edge collaborative filtering.
Sci. China Inf. Sci.
Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui
2022 A conf
Locality Aware Temporal FMs for Crime Prediction.
CIKM
Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin
2022 J jnl
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning.
CoRR
Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao
2022 J jnl
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs.
CoRR
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2022 J jnl
Model-agnostic and diverse explanations for streaming rumour graphs.
Knowl. Based Syst.
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2022 J jnl
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation.
ACM Trans. Inf. Syst.
Chengyuan Zhang, Yang Wang, Lei Zhu, Jiayu Song, Hongzhi Yin
2022 J jnl
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids.
IEEE Trans. Smart Grid
Yi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Mehdi Mosadeghy, Hongzhi Yin, Ryan K. L. Ko, Yilu Liu
2022 J jnl
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data.
IEEE Trans. Smart Grid
Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko
2022 A* conf
Network Alignment with Holistic Embeddings (Extended Abstract).
ICDE
Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen
2022 A* conf
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
SIGIR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022 J jnl
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
2022 J jnl
Overcoming Data Sparsity in Group Recommendation.
IEEE Trans. Knowl. Data Eng.
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
2022 J jnl
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs.
ACM Trans. Intell. Syst. Technol.
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2022 J jnl
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2022 A conf
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
WSDM
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
2022 J jnl
Preface - Special Issue on Misinformation on the Web.
Inf. Syst.
Karl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, Hongzhi Yin
2022 J jnl
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups.
IEEE Trans. Knowl. Data Eng.
Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou
2022 J jnl
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
CoRR
Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng
2022 J jnl
Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web
Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin
2022 J jnl
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
2022 J jnl
Self-Supervised Learning for Recommender Systems: A Survey.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2022 J jnl
Self-supervised Graph-based Point-of-interest Recommendation.
CoRR
Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin
2022 J jnl
Self-supervised Hypergraph Representation Learning for Sociological Analysis.
CoRR
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2022 J jnl
Self-supervised graph learning for occasional group recommendation.
Int. J. Intell. Syst.
Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen
2022 J jnl
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach.
ACM Trans. Inf. Syst.
Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng
2022 A* conf
Single-shot Embedding Dimension Search in Recommender System.
SIGIR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2022 J jnl
Single-shot Embedding Dimension Search in Recommender System.
CoRR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2022 J jnl
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng.
Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu
2022 — conf
Switchable Online Knowledge Distillation.
ECCV (11)
Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang
2022 J jnl
Switchable Online Knowledge Distillation.
CoRR
Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang
2022 A* conf
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
SIGIR
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
2022 J jnl
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
CoRR
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
2022 J jnl
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
2022 J jnl
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
CoRR
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
2022 J jnl
Towards Revenue Maximization with Popular and Profitable Products.
CoRR
Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
2022 A* conf
Unified Question Generation with Continual Lifelong Learning.
WWW
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 J jnl
Unified Question Generation with Continual Lifelong Learning.
CoRR
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 A* conf
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract).
ICDE
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2022 J jnl
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion.
CoRR
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2022 J jnl
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
CoRR
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2022 A* conf
exRumourLens: Auditable Rumour Detection with Multi-View Explanations.
ICDE
Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen
2021 A conf
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network.
CIKM
Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin
2021 J jnl
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation.
CoRR
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
2021 J jnl
A block-based generative model for attributed network embedding.
World Wide Web
Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
2021 J jnl
A dual benchmarking study of facial forgery and facial forensics.
CoRR
Minh Tam Pham, Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Thanh Thi Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
2021 A* conf
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection.
WWW
Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin
2021 J jnl
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation.
World Wide Web
Jianxin Liao, Tongcun Liu, Hongzhi Yin, Tong Chen, Jingyu Wang, Yulong Wang
2021 A* conf
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.
ACM Multimedia
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang
2021 J jnl
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation.
CoRR
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang
2021 J jnl
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.
CoRR
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
2021 A* conf
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
IJCAI
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
2021 J jnl
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
CoRR
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
2021 A* conf
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks.
ICDE
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
2021 A* conf
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection.
SIGIR
Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen
2021 A* conf
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
IJCAI
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
2021 J jnl
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation.
CoRR
Yang Li, Tong Chen, Hongzhi Yin, Zi Huang
2021 J jnl
Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics
Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang
2021 A conf
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CIKM
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 J jnl
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CoRR
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 J jnl
Efficient Streaming Subgraph Isomorphism with Graph Neural Networks.
Proc. VLDB Endow.
Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2021 A* conf
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.
SIGIR
Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin
2021 A* conf
Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).
ICDE
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Nguyen Quoc Viet Hung
2021 J jnl
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks.
CoRR
Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin
2021 J jnl
Exploiting Positional Information for Session-based Recommendation.
CoRR
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Fast-adapting and Privacy-preserving Federated Recommender System.
CoRR
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2021 A conf
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction.
CIKM
Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin
2021 A* conf
Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction.
ICDE
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2021 J jnl
Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen
2021 A* conf
Graph Embedding for Recommendation against Attribute Inference Attacks.
WWW
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021 J jnl
Graph Embedding for Recommendation against Attribute Inference Attacks.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
2021 A conf
Heterogeneous Hypergraph Embedding for Graph Classification.
WSDM
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2021 J jnl
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation.
CoRR
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
2021 A* conf
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
KDD
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021 J jnl
ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks.
CoRR
Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin
2021 A conf
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021).
CIKM
Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin
2021 A* conf
Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval.
ACM Multimedia
Peng-Fei Zhang, Jiasheng Duan, Zi Huang, Hongzhi Yin
2021 A* conf
Learning Elastic Embeddings for Customizing On-Device Recommenders.
KDD
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 J jnl
Learning Elastic Embeddings for Customizing On-Device Recommenders.
CoRR
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 A* conf
Learning to Ask Appropriate Questions in Conversational Recommendation.
SIGIR
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
2021 J jnl
Learning to Ask Appropriate Questions in Conversational Recommendation.
CoRR
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
2021 A conf
Lightweight Self-Attentive Sequential Recommendation.
CIKM
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
2021 J jnl
Lightweight Self-Attentive Sequential Recommendation.
CoRR
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
2021 J jnl
Link-Intensive Alignment for Incomplete Knowledge Graphs.
CoRR
Vinh Van Tong, Thanh Trung Huynh, Thanh Tam Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Huynh Quyet Thang
2021 A* conf
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation.
ICDM
Ruihong Qiu, Zi Huang, Hongzhi Yin
2021 J jnl
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation.
CoRR
Ruihong Qiu, Zi Huang, Hongzhi Yin
2021 A* conf
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks.
WWW
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao
2021 J jnl
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph.
CoRR
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
2021 J jnl
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent.
CoRR
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
2021 J jnl
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
2021 A conf
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
WSDM
Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen
2021 A* conf
Privacy Protection in Deep Multi-modal Retrieval.
SIGIR
Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin
2021 J jnl
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling.
CoRR
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
2021 A* conf
Reliable Recommendation with Review-level Explanations.
ICDE
Yanzhang Lyu, Hongzhi Yin, Jun Liu, Mengyue Liu, Huan Liu, Shizhuo Deng
2021 J jnl
Scalable Robust Graph Embedding with Spark.
Proc. VLDB Endow.
Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2021 J jnl
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs.
CoRR
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
2021 A conf
Self-Supervised Graph Co-Training for Session-based Recommendation.
CIKM
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021 J jnl
Self-Supervised Graph Co-Training for Session-based Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021 A* conf
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
AAAI
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021 A* conf
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
WWW
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021 J jnl
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021 J jnl
Self-supervised Graph Learning for Occasional Group Recommendation.
CoRR
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
2021 A* conf
Socially-Aware Self-Supervised Tri-Training for Recommendation.
KDD
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021 J jnl
Socially-Aware Self-Supervised Tri-Training for Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021 — conf
Subgraph Convolutional Network for Recommendation.
CCIS
Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W. Zheng, Hongzhi Yin, Kai Zheng
2021 A conf
Temporal Meta-path Guided Explainable Recommendation.
WSDM
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021 J jnl
Temporal Meta-path Guided Explainable Recommendation.
CoRR
Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021 J jnl
Towards Revenue Maximization with Popular and Profitable Products.
Trans. Data Sci.
Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu
2021 J jnl
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning.
CoRR
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
2021 J jnl
Utility Mining Across Multi-Dimensional Sequences.
ACM Trans. Knowl. Discov. Data
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2021 A* conf
Where are we in embedding spaces?
KDD
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2021 J jnl
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR
Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2020 A* conf
Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.
ICDE
Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung
2020 J jnl
CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst.
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang
2020 J jnl
Cluster query: a new query pattern on temporal knowledge graph.
World Wide Web
Jinjing Huang, Wei Chen, An Liu, Weiqing Wang, Hongzhi Yin, Lei Zhao
2020 — conf
Decentralized Embedding Framework for Large-Scale Networks.
DASFAA (3)
Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
2020 J jnl
Deep Pairwise Hashing for Cold-start Recommendation.
CoRR
Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2020 A* conf
Discovering Subsequence Patterns for Next POI Recommendation.
IJCAI
Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing
2020 — conf
EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors.
DASFAA (2)
Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou
2020 J jnl
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors.
CoRR
Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou
2020 J jnl
Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2020 J jnl
Enhanced factorization machine via neural pairwise ranking and attention networks.
Pattern Recognit. Lett.
Yonghong Yu, Lihong Jiao, Ningning Zhou, Li Zhang, Hongzhi Yin
2020 J jnl
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks.
ACM Trans. Inf. Syst.
Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin
2020 J jnl
Extracting representative user subset of social networks towards user characteristics and topological features.
World Wide Web
Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Wei Chen, Lei Zhao
2020 A* conf
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.
SIGIR
Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen
2020 J jnl
Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification.
IEEE Trans. Image Process.
Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao
2020 A* conf
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
SIGIR
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020 J jnl
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation.
CoRR
Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020 A* conf
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
SIGIR
Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2020 J jnl
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
CoRR
Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2020 A* conf
Graph Embeddings for One-pass Processing of Heterogeneous Queries.
ICDE
Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2020 A* conf
Group Recommendation with Latent Voting Mechanism.
ICDE
Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui
2020 J jnl
Group-Based Recurrent Neural Networks for POI Recommendation.
Trans. Data Sci.
Guohui Li, Qi Chen, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, Xiaofang Zhou
2020 J jnl
Group-level personality detection based on text generated networks.
World Wide Web
Xiangguo Sun, Bo Liu, Qing Meng, Jiuxin Cao, Junzhou Luo, Hongzhi Yin
2020 J jnl
Heterogeneous Hypergraph Embedding for Graph Classification.
CoRR
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2020 J jnl
Local Variational Feature-Based Similarity Models for Recommending Top-
ACM Trans. Inf. Syst.
Yi-Fan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke
2020 A* conf
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
KDD
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020 J jnl
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction.
CoRR
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020 — conf
Neural Pairwise Ranking Factorization Machine for Item Recommendation.
DASFAA (1)
Lihong Jiao, Yonghong Yu, Ningning Zhou, Li Zhang, Hongzhi Yin
2020 A* conf
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
WWW
Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
2020 J jnl
Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst.
Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li
2020 J jnl
Overcoming Data Sparsity in Group Recommendation.
CoRR
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
2020 J jnl
Personalized Video Recommendation Using Rich Contents from Videos.
IEEE Trans. Knowl. Data Eng.
Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
2020 J jnl
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
CoRR
Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen
2020 — conf
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.
ECML/PKDD (4)
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin
2020 J jnl
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.
CoRR
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin
2020 J jnl
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud.
World Wide Web
Jinjing Huang, Wei Chen, Zhixu Li, Pengpeng Zhao, Weiqing Wang, Hongzhi Yin, Lei Zhao
2020 J jnl
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
CoRR
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2020 J jnl
Semantic trajectory representation and retrieval via hierarchical embedding.
Inf. Sci.
Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao
2020 J jnl
Semi-supervised clustering with deep metric learning and graph embedding.
World Wide Web
Xiaocui Li, Hongzhi Yin, Ke Zhou, Xiaofang Zhou
2020 A* conf
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
ICDE
Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2020 J jnl
TEAGS: time-aware text embedding approach to generate subgraphs.
Data Min. Knowl. Discov.
Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou
2020 A* conf
Try This Instead: Personalized and Interpretable Substitute Recommendation.
SIGIR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020 J jnl
Try This Instead: Personalized and Interpretable Substitute Recommendation.
CoRR
Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang
2020 J jnl
User Account Linkage Across Multiple Platforms with Location Data.
J. Comput. Sci. Technol.
Wei Chen, Weiqing Wang, Hongzhi Yin, Junhua Fang, Lei Zhao
2020 A* conf
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
AAAI
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
2019 A* conf
AIR: Attentional Intention-Aware Recommender Systems.
ICDE
Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li
2019 J jnl
An Efficient Framework for Multiple Subgraph Pattern Matching Models.
J. Comput. Sci. Technol.
Jiuru Gao, Wei Chen, Jia-Jie Xu, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2019 — conf
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.
DASFAA (3)
Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao
2019 J jnl
Efficient User Guidance for Validating Participatory Sensing Data.
ACM Trans. Intell. Syst. Technol.
Thanh Cong Phan, Thanh Tam Nguyen, Hongzhi Yin, Bolong Zheng, Bela Stantic, Nguyen Quoc Viet Hung
2019 A* conf
Enhancing Collaborative Filtering with Generative Augmentation.
KDD
Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui
2019 A* conf
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
ICDE
Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li
2019 J jnl
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification.
CoRR
Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell
2019 A* conf
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
AAAI
Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan
2019 J jnl
From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
Proc. VLDB Endow.
Thanh Tam Nguyen, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Quoc Viet Hung Nguyen, Bela Stantic
2019 A* conf
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
ICDM
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 J jnl
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
CoRR
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 A* conf
Inferring Substitutable Products with Deep Network Embedding.
IJCAI
Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
2019 J jnl
Layered convolutional dictionary learning for sparse coding itemsets.
World Wide Web
Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali
2019 J jnl
Leveraging multi-aspect time-related influence in location recommendation.
World Wide Web
Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung
2019 J jnl
MCP: A multi-component learning machine to predict protein secondary structure.
Comput. Biol. Medicine
Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung
2019 J jnl
Matching user accounts across social networks based on username and display name.
World Wide Web
Yongjun Li, You Peng, Zhen Zhang, Hongzhi Yin, Quanqing Xu
2019 — conf
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
DASFAA (1)
Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen
2019 A* conf
Online User Representation Learning Across Heterogeneous Social Networks.
SIGIR
Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Quoc Viet Hung Nguyen
2019 A* conf
Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.
KDD
Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng
2019 J jnl
Parallel Computation of Graph Embeddings.
CoRR
Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang, Truong Giang Le Ba, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2019 A conf
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks.
CIKM
Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin
2019 J jnl
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks.
CoRR
Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin
2019 — conf
Semi-supervised Clustering with Deep Metric Learning.
DASFAA (3)
Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang Zhou
2019 J jnl
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
CoRR
Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2019 A* conf
Social Influence-Based Group Representation Learning for Group Recommendation.
ICDE
Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou
2019 J jnl
Spatiotemporal Representation Learning for Translation-Based POI Recommendation.
ACM Trans. Inf. Syst.
Tieyun Qian, Bei Liu, Quoc Viet Hung Nguyen, Hongzhi Yin
2019 A* conf
Streaming Session-based Recommendation.
KDD
Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung
2019 J jnl
User Guidance for Efficient Fact Checking.
Proc. VLDB Endow.
Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Bolong Zheng, Quoc Viet Hung Nguyen, Bela Stantic
2019 J jnl
User identity linkage across social networks via linked heterogeneous network embedding.
World Wide Web
Yaqing Wang, Chunyan Feng, Ling Chen, Hongzhi Yin, Caili Guo, Yunfei Chu
2019 J jnl
Utility Mining Across Multi-Dimensional Sequences.
CoRR
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu
2019 A conf
What Can History Tell Us?
CIKM
Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
2018 — conf
A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud.
DASFAA (1)
Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin, Lei Zhao
2018 J jnl
A deep dive into user display names across social networks.
Inf. Sci.
Yongjun Li, You Peng, Zhen Zhang, Mingjie Wu, Quanqing Xu, Hongzhi Yin
2018 A conf
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
CIKM
Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018 — conf
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
PAKDD (Workshops)
Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang
2018 A* conf
Computing Crowd Consensus with Partial Agreement.
ICDE
Quoc Viet Hung Nguyen, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou
2018 J jnl
Computing Crowd Consensus with Partial Agreement.
IEEE Trans. Knowl. Data Eng.
Nguyen Quoc Viet Hung, Huynh Huu Viet, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Xiaofang Zhou
2018 A conf
Discrete Deep Learning for Fast Content-Aware Recommendation.
WSDM
Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian
2018 A* conf
Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
KDD
Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang
2018 A* conf
Effective and Efficient User Account Linkage across Location Based Social Networks.
ICDE
Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Xiaofang Zhou
2018 — conf
Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs.
WISE (1)
Lingjiao Lu, Junhua Fang, Pengpeng Zhao, Jiajie Xu, Hongzhi Yin, Lei Zhao
2018 — conf
Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs.
DASFAA (1)
Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici, Xiaofang Zhou
2018 J jnl
Exploiting detected visual objects for frame-level video filtering.
World Wide Web
Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou
2018 — conf
Extracting Representative User Subset of Social Networks Towards User Characteristics and Topological Features.
WISE (1)
Yiming Zhou, Yuehui Han, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2018 J jnl
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
CoRR
Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan
2018 A* conf
Joint Event-Partner Recommendation in Event-Based Social Networks.
ICDE
Hongzhi Yin, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, Xiaofang Zhou
2018 A* conf
LC-RNN: A Deep Learning Model for Traffic Speed Prediction.
IJCAI
Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
2018 A* conf
Look Deeper See Richer: Depth-aware Image Paragraph Captioning.
ACM Multimedia
Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin
2018 J jnl
MCP: a multi-component learning machine for prediction of protein secondary structure.
CoRR
Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung
2018 J jnl
Matching user accounts based on user generated content across social networks.
Future Gener. Comput. Syst.
Yongjun Li, Zhen Zhang, You Peng, Hongzhi Yin, Quanqing Xu
2018 B conf
Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis.
MDM
Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Yuval Elovici, Xiaofang Zhou
2018 J jnl
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl. Based Syst.
Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang
2018 — conf
Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation.
DASFAA (2)
Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin, Xiaofang Zhou, Jin Wang, Chunxiao Xing
2018 A* conf
Neural Memory Streaming Recommender Networks with Adversarial Training.
KDD
Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018 A* conf
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
KDD
Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li
2018 J jnl
Preface.
J. Comput. Sci. Technol.
Xiaofang Zhou, Hongzhi Yin
2018 — conf
Publishing Graph Node Strength Histogram with Edge Differential Privacy.
DASFAA (2)
Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin, Lei Zhao
2018 — conf
Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation.
DASFAA (1)
Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung
2018 — ch.
Spatiotemporal Recommendation in Geo-Social Networks.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Hongzhi Yin, Bin Cui, Xiaofang Zhou
2018 A* conf
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.
KDD
Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang
2018 A* conf
Streaming Ranking Based Recommender Systems.
SIGIR
Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen
2018 A* conf
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
ICDM
Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li
2018 J jnl
TPM: A Temporal Personalized Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol.
Weiqing Wang, Hongzhi Yin, Xingzhong Du, Quoc Viet Hung Nguyen, Xiaofang Zhou
2018 Misc conf
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.
ADC
Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang
2018 B conf
Towards the Learning of Weighted Multi-label Associative Classifiers.
IJCNN
Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin
2018 — conf
Unified User and Item Representation Learning for Joint Recommendation in Social Network.
WISE (2)
Jiali Yang, Zhixu Li, Hongzhi Yin, Pengpeng Zhao, An Liu, Zhigang Chen, Lei Zhao
2018 A* conf
What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
ICDE
Quoc Viet Hung Nguyen, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Thanh Tam Nguyen, Bela Stantic
2017 A* conf
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
KDD
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
2017 J jnl
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
CoRR
Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
2017 — conf
A Time and Sentiment Unification Model for Personalized Recommendation.
APWeb/WAIM (2)
Qinyong Wang, Hongzhi Yin, Hao Wang
2017 A* conf
An Integrated Model for Effective Saliency Prediction.
AAAI
Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen
2017 J jnl
Answer validation for generic crowdsourcing tasks with minimal efforts.
VLDB J.
Nguyen Quoc Viet Hung, Duong Chi Thang, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou
2017 J jnl
Argument discovery via crowdsourcing.
VLDB J.
Nguyen Quoc Viet Hung, Chi Thang Duong, Thanh Tam Nguyen, Matthias Weidlich, Karl Aberer, Hongzhi Yin, Xiaofang Zhou
2017 J jnl
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR
Tong Chen, Lin Wu, Xue Li, Jun Zhang, Hongzhi Yin, Yang Wang
2017 A conf
Exploiting Spatio-Temporal User Behaviors for User Linkage.
CIKM
Wei Chen, Hongzhi Yin, Weiqing Wang, Lei Zhao, Wen Hua, Xiaofang Zhou
2017 C conf
Group Recommender Model Based on Preference Interaction.
ADMA
Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan, Xiaolin Qin
2017 — conf
Influenced Nodes Discovery in Temporal Contact Network.
WISE (1)
Jinjing Huang, Tianqiao Lin, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2017 — conf
Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation.
DASFAA (1)
Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Xiaofang Zhou, Shazia Sadiq
2017 J jnl
Leveraging Multi-aspect Time-related Influence in Location Recommendation.
CoRR
Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia Sadiq
2017 A* conf
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
ICDE
Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou
2017 — conf
People Opinion Topic Model: Opinion based User Clustering in Social Networks.
WWW (Companion Volume)
Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen
2017 — conf
Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
WWW (Companion Volume)
Yizhou Sun, Hongzhi Yin, Xiang Ren
2017 A* conf
Retaining Data from Streams of Social Platforms with Minimal Regret.
IJCAI
Thanh Tam Nguyen, Matthias Weidlich, Duong Chi Thang, Hongzhi Yin, Nguyen Quoc Viet Hung
2017 A* conf
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.
ICDM
Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen
2017 J jnl
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol.
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2017 J jnl
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng.
Hongzhi Yin, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou
2017 — conf
Time-Constrained Graph Pattern Matching in a Large Temporal Graph.
APWeb/WAIM (1)
Yanxia Xu, Jinjing Huang, An Liu, Zhixu Li, Hongzhi Yin, Lei Zhao
2017 — conf
Understanding the User Display Names across Social Networks.
WWW (Companion Volume)
Yongjun Li, You Peng, Zhen Zhang, Quanqing Xu, Hongzhi Yin
2016 J jnl
A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.
ACM Trans. Intell. Syst. Technol.
Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia Sadiq, Bin Luo
2016 — conf
A Unified Framework for Fine-Grained Opinion Mining from Online Reviews.
HICSS
Hao Wang, Chen Zhang, Hongzhi Yin, Wei Wang, Jun Zhang, Fanjiang Xu
2016 J jnl
Adapting to User Interest Drift for POI Recommendation.
IEEE Trans. Knowl. Data Eng.
Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung
2016 A* conf
Discovering interpretable geo-social communities for user behavior prediction.
ICDE
Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Sadiq
2016 J jnl
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion.
World Wide Web
Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu
2016 — conf
Expert team finding for review assignment.
TAAI
Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao
2016 J jnl
Exploiting Rich Contents for Personalized Video Recommendation.
CoRR
Xingzhong Du, Hongzhi Yin, Ling Chen, Yang Wang, Yi Yang, Xiaofang Zhou
2016 — conf
Graph-Based Metric Embedding for Next POI Recommendation.
WISE (2)
Min Xie, Hongzhi Yin, Fanjiang Xu, Hao Wang, Xiaofang Zhou
2016 J jnl
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.
ACM Trans. Inf. Syst.
Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia Sadiq
2016 A* conf
Keyword-aware continuous kNN query on road networks.
ICDE
Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, Guohui Li
2016 A conf
Learning Graph-based POI Embedding for Location-based Recommendation.
CIKM
Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang
2016 A* conf
SPORE: A sequential personalized spatial item recommender system.
ICDE
Weiqing Wang, Hongzhi Yin, Shazia Sadiq, Ling Chen, Min Xie, Xiaofang Zhou
2016 — book
Spatio-Temporal Recommendation in Social Media
Hongzhi Yin, Bin Cui
2016 Misc conf
Using Detected Visual Objects to Index Video Database.
ADC
Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou
2015 — conf
Discovering Organized POI Groups in a City.
DASFAA Workshops
Yanxia Xu, Guanfeng Liu, Hongzhi Yin, Jiajie Xu, Kai Zheng, Lei Zhao
2015 — conf
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion.
ICDE Workshops
Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu
2015 J jnl
Dynamic User Modeling in Social Media Systems.
ACM Trans. Inf. Syst.
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou
2015 A* conf
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
KDD
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015 J jnl
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
CoRR
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Sadiq, Xiaofang Zhou
2015 — conf
Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation.
WISE (2)
Huimin Wu, Jie Shao, Hongzhi Yin, Heng Tao Shen, Xiaofang Zhou
2015 A conf
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.
CIKM
Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Sadiq
2015 A* conf
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation.
ACM Multimedia
Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, Xian Wu, Xiaofang Zhou
2015 — conf
LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement.
WI-IAT (1)
Meng Zhao, Hao Wang, Liangliang Cao, Chen Zhang, Hongzhi Yin, Fanjiang Xu
2015 J jnl
Modeling Location-Based User Rating Profiles for Personalized Recommendation.
ACM Trans. Knowl. Discov. Data
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang
2015 Misc conf
Predicting Passengers in Public Transportation Using Smart Card Data.
ADC
Mengyu Dou, Tieke He, Hongzhi Yin, Xiaofang Zhou, Zhenyu Chen, Bin Luo
2015 Misc conf
Predicting Users' Purchasing Behaviors Using Their Browsing History.
ADC
Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Bin Luo
2014 — conf
A temporal context-aware model for user behavior modeling in social media systems.
SIGMOD Conference
Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang
2014 J jnl
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst.
Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen
2013 A* conf
A unified model for stable and temporal topic detection from social media data.
ICDE
Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao
2013 J jnl
Community Specific Temporal Topic Discovery from Social Media.
CoRR
Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui
2013 A* conf
LCARS: a location-content-aware recommender system.
KDD
Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen
2013 J jnl
TeRec: A Temporal Recommender System Over Tweet Stream.
Proc. VLDB Endow.
Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui
2012 J jnl
Challenging the Long Tail Recommendation
CoRR
Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen
2012 J jnl
Challenging the Long Tail Recommendation.
Proc. VLDB Endow.
Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen
2011 — conf
Finding a Wise Group of Experts in Social Networks.
ADMA (1)
Hongzhi Yin, Bin Cui, Yuxin Huang