Hongzhi Yin

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 464

Top Venues

CoRR

ICDE

IEEE Trans. Knowl. Data Eng.

ACM Trans. Inf. Syst.

Publications

Thanh Tam Nguyen, Zhao Ren, Thanh Thi Nguyen, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin
Portable graph-based rumour detection against multi-modal heterophily. Knowl. Based Syst. 284 (2024)
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE (2024)
Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
Automated Similarity Metric Generation for Recommendation. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
RobGC: Towards Robust Graph Condensation. CoRR (2024)
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR (2024)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) (2024)
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR (2024)
Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR (2024)
Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He
ROIC-DM: Robust Text Inference and Classification via Diffusion Model. CoRR (2024)
Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
Open-World Semi-Supervised Learning for Node Classification. CoRR (2024)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. CoRR (2024)
Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
Open-World Semi-Supervised Learning for Node Classification. ICDE (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
Graph Condensation for Open-World Graph Learning. CoRR (2024)
Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. ACM Trans. Inf. Syst. 42 (3) (2024)
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE (2024)
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. CoRR (2024)
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Budgeted Embedding Table For Recommender Systems. WSDM (2024)
Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Thanh Thi Nguyen, Matthias Weidlich, Hongzhi Yin
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures. CoRR (2024)
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
Watermarking Recommender Systems. CoRR (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR (2024)
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR (2024)
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR (2024)
Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. CoRR (2024)
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. CoRR (2024)
Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR (2024)
Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW (2024)
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Inf. Sci. 680 (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR (2024)
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW (2024)
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE (2024)
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia W. Sadiq
Poisoning Attacks Against Recommender Systems: A Survey. CoRR (2024)
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
Hate Speech Detection with Generalizable Target-aware Fairness. KDD (2024)
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
Defense Against Model Extraction Attacks on Recommender Systems. WSDM (2024)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Trans. Intell. Technol. 9 (3) (2024)
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen
Heterogeneous Hypergraph Embedding for Recommendation Systems. CoRR (2024)
Shijie Zhang, Wei Yuan, Hongzhi Yin
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. CoRR (2024)
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR (2024)
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin
Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR (2024)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE (2024)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD (2024)
Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
Hate Speech Detection with Generalizable Target-aware Fairness. CoRR (2024)
Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing. Knowl. Based Syst. 284 (2024)
Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen
A Survey of Generative Techniques for Spatial-Temporal Data Mining. CoRR (2024)
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. KDD (2024)
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR (2024)
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
Graph Condensation for Inductive Node Representation Learning. ICDE (2024)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. CoRR (2024)
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
Graph Condensation for Open-World Graph Learning. KDD (2024)
Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun H. Jo, Quoc Viet Hung Nguyen
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR (2024)
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
Lightweight Embeddings for Graph Collaborative Filtering. CoRR (2024)
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM (2024)
Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW (2024)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) 27 (3) (2024)
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
Graph Condensation: A Survey. CoRR (2024)
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
Challenging Low Homophily in Social Recommendation. CoRR (2024)
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
Challenging Low Homophily in Social Recommendation. WWW (2024)
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW (2024)
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
On-Device Recommender Systems: A Comprehensive Survey. CoRR (2024)
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT. IEEE Trans. Ind. Informatics 20 (1) (2024)
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Budgeted Embedding Table For Recommender Systems. CoRR (2023)
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR (2023)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR (2023)
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, Quoc Viet Hung Nguyen
Detecting rumours with latency guarantees using massive streaming data. VLDB J. 32 (2) (2023)
Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. ICDE (2023)
Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR (2023)
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR (2023)
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. CoRR (2023)
Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, Quoc Viet Hung Nguyen
Scalable maximal subgraph mining with backbone-preserving graph convolutions. Inf. Sci. 644 (2023)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data 9 (2) (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR (2023)
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM (2023)
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR (2023)
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
Federated Unlearning for On-Device Recommendation. WSDM (2023)
Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. WSDM (2023)
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW (2023)
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. CoRR (2023)
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR (2023)
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR (2023)
Thanh Tam Nguyen, Chi Thang Duong, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen
Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract). ICDE (2023)
Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
Learning to Distill Graph Neural Networks. WSDM (2023)
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hongzhi Yin