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ORCIDHongzhi Yin
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- affiliation: University of Queensland, Brisbane, QLD, Australia
- affiliation (PhD 2014): Peking University, Beijing, China
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2020 – today
- 2023
[j105]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Yingxiao Shao, Hongzhi Yin:
Special Issue of DASFAA 2023. Data Sci. Eng. 8(3): 221-222 (2023)- [j104]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: 119287 (2023) - [j103]Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen:
Deep MinCut: Learning Node Embeddings by Detecting Communities. Pattern Recognit. 134: 109126 (2023) - [j102]Xinyi Gao, Zhibin Pan, Guojun Fan, Xiaoran Zhang, Hongzhi Yin:
Local feature-based mutual complexity for pixel-value-ordering reversible data hiding. Signal Process. 204: 108833 (2023) - [j101]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): 746-757 (2023) - [j100]Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27(11): 5249-5259 (2023) - [j99]Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment With Holistic Embeddings. IEEE Trans. Knowl. Data Eng. 35(2): 1881-1894 (2023) - [j98]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): 2103-2117 (2023) - [j97]Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs. IEEE Trans. Knowl. Data Eng. 35(3): 3059-3071 (2023) - [j96]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3645-3657 (2023) - [j95]Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. 35(4): 3991-4002 (2023) - [j94]Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung:
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts. IEEE Trans. Knowl. Data Eng. 35(5): 5002-5016 (2023) - [j93]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): 7397-7411 (2023) - [j92]Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen:
Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection. IEEE Trans. Knowl. Data Eng. 35(9): 9128-9139 (2023) - [j91]Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Trans. Knowl. Data Eng. 35(9): 9656-9670 (2023) - [j90]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [j89]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4345-4358 (2023) - [j88]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): 31:1-31:24 (2023) - [j87]Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang:
Proactive Privacy-preserving Learning for Cross-modal Retrieval. ACM Trans. Inf. Syst. 41(2): 35:1-35:23 (2023) - [j86]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41(3): 51:1-51:5 (2023) - [j85]Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41(3): 65:1-65:30 (2023) - [j84]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. ACM Trans. Inf. Syst. 41(3): 66:1-66:25 (2023) - [j83]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41(4): 82:1-82:6 (2023) - [j82]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023) - [j81]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): 102:1-102:24 (2023) - [j80]Wei Chen, Weiqing Wang, Hongzhi Yin, Lei Zhao, Xiaofang Zhou:
HFUL: a hybrid framework for user account linkage across location-aware social networks. VLDB J. 32(1): 1-22 (2023) - [j79]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): 369-387 (2023) - [j78]Yuting Sun, Tong Chen, Hongzhi Yin:
Spatial-temporal meta-path guided explainable crime prediction. World Wide Web (WWW) 26(4): 2237-2263 (2023) - [c161]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c160]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: 545-555 - [c159]Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin:
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. CIKM 2023: 1617-1626 - [c158]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM 2023: 2795-2804 - [c157]Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. CIKM 2023: 3083-3093 - [c156]Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao:
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. ICDE 2023: 96-109 - [c155]Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. ICDE 2023: 381-393 - [c154]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: 3791-3792 - [c153]Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin:
Efficient Bi-Level Optimization for Recommendation Denoising. KDD 2023: 2502-2511 - [c152]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: 423-432 - [c151]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c150]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. SIGIR 2023: 1578-1588 - [c149]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: 1690-1699 - [c148]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c147]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: 123-131 - [c146]Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin:
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. WSDM 2023: 195-203 - [c145]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c144]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: 339-348 - [c143]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [e5]Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin:
Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings. Lecture Notes in Computer Science 13922, Springer 2023, ISBN 978-3-031-35414-4 [contents] - [e4]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13943, Springer 2023, ISBN 978-3-031-30636-5 [contents] - [e3]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13944, Springer 2023, ISBN 978-3-031-30671-6 [contents] - [e2]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13945, Springer 2023, ISBN 978-3-031-30674-7 [contents] - [e1]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13946, Springer 2023, ISBN 978-3-031-30677-8 [contents] - [i127]Hongrui Xuan, Yi Liu, Bohan Li, Hongzhi Yin:
Knowledge Enhancement for Multi-Behavior Contrastive Recommendation. CoRR abs/2301.05403 (2023) - [i126]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i125]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i124]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i123]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT. CoRR abs/2303.03611 (2023) - [i122]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i121]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i120]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i119]Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. CoRR abs/2304.03984 (2023) - [i118]Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin:
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation. CoRR abs/2304.04218 (2023) - [i117]Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling. CoRR abs/2304.12083 (2023) - [i116]Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin:
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR abs/2304.14635 (2023) - [i115]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i114]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i113]Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. CoRR abs/2305.08183 (2023) - [i112]Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - [i111]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 abs/2306.10345 (2023) - [i110]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR abs/2306.10532 (2023) - [i109]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR abs/2306.13271 (2023) - [i108]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i107]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR abs/2307.15244 (2023) - [i106]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i105]Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin:
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. CoRR abs/2308.07752 (2023) - [i104]Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin:
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR abs/2308.12777 (2023) - [i103]Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation. CoRR abs/2308.13269 (2023) - [i102]Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. CoRR abs/2309.03518 (2023) - [i101]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng, Hongzhi Yin:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. CoRR abs/2309.08165 (2023) - [i100]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. CoRR abs/2310.10998 (2023) - [i99]Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin:
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR abs/2310.13303 (2023) - [i98]Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Budgeted Embedding Table For Recommender Systems. CoRR abs/2310.14884 (2023) - [i97]Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long:
Defense Against Model Extraction Attacks on Recommender Systems. CoRR abs/2310.16335 (2023) - [i96]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR abs/2311.00491 (2023) - [i95]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. CoRR abs/2311.11235 (2023) - [i94]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. CoRR abs/2311.14968 (2023) - [i93]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Poisoning Attacks Against Contrastive Recommender Systems. CoRR abs/2311.18244 (2023) - 2022
- [j77]Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65(1) (2022) - [j76]Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen:
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37(12): 10880-10902 (2022) - [j75]Karl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, Hongzhi Yin:
Preface - Special Issue on Misinformation on the Web. Inf. Syst. 103: 101867 (2022) - [j74]Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
Model-agnostic and diverse explanations for streaming rumour graphs. Knowl. Based Syst. 253: 109438 (2022) - [j73]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I. ACM Trans. Intell. Syst. Technol. 13(1): 1:1-1:2 (2022) - [j72]Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs. ACM Trans. Intell. Syst. Technol. 13(1): 2:1-2:25 (2022) - [j71]Kai Zheng, Yong Li, Cyrus Shahabi, Hongzhi Yin:
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II. ACM Trans. Intell. Syst. Technol. 13(3): 34:1-34:2 (2022) - [j70]Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song:
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. IEEE J. Biomed. Health Informatics 26(6): 2778-2786 (2022) - [j69]Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu:
Social Boosted Recommendation With Folded Bipartite Network Embedding. IEEE Trans. Knowl. Data Eng. 34(2): 914-926 (2022) - [j68]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j67]Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3447-3460 (2022) - [j66]Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou:
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. 34(7): 3461-3477 (2022) - [j65]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j64]Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen:
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(9): 4201-4214 (2022) - [j63]Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. IEEE Trans. Knowl. Data Eng. 34(11): 5307-5320 (2022) - [j62]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40(1): 3:1-3:27 (2022) - [j61]Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng:
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach. ACM Trans. Inf. Syst. 40(2): 23:1-23:22 (2022) - [j60]Chengyuan Zhang, Yang Wang, Lei Zhu, Jiayu Song, Hongzhi Yin:
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation. ACM Trans. Inf. Syst. 40(2): 28:1-28:26 (2022) - [j59]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [j58]Yi Cui, Feifei Bai, Ruifeng Yan, Tapan Kumar Saha, Mehdi Mosadeghy, Hongzhi Yin, Ryan K. L. Ko, Yilu Liu:
Multifractal Characterization of Distribution Synchrophasors for Cybersecurity Defense of Smart Grids. IEEE Trans. Smart Grid 13(2): 1658-1661 (2022) - [j57]Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko:
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data. IEEE Trans. Smart Grid 13(6): 4957-4960 (2022) - [j56]Qinyong Wang, Hongzhi Yin,