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2026 Journal Article Scalable and effective negative sample generation for hyperedge predictionQu, Shilin, Wang, Weiqing, Li, Yuan-Fang, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). Scalable and effective negative sample generation for hyperedge prediction. Neural Networks, 193 108034, 1-13. doi: 10.1016/j.neunet.2025.108034 |
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2025 Journal Article DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendationZheng, Ruiqi, Qu, Liang, Ye, Guanhua, Chen, Tong, Shi, Yuhui and Yin, Hongzhi (2025). DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation. Information Sciences, 721 122570, 122570-721. doi: 10.1016/j.ins.2025.122570 |
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2025 Journal Article FELLAS: enhancing federated sequential recommendation with LLM as external servicesYuan, Wei, Yang, Chaoqun, Ye, Guanhua, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2025). FELLAS: enhancing federated sequential recommendation with LLM as external services. ACM Transactions on Information Systems, 43 (6) 144, 1-24. doi: 10.1145/3709138 |
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2025 Conference Publication Data watermarking for sequential recommender systemsZhang, Sixiao, Long, Cheng, Yuan, Wei, Chen, Hongxu and Yin, Hongzhi (2025). Data watermarking for sequential recommender systems. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3711896.3736903 |
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2025 Conference Publication Multi-task offline reinforcement learning for online advertising in recommender systemsLiu, Langming, Wang, Wanyu, Zhang, Chi, Li, Bo, Yin, Hongzhi, Wei, Xuetao, Su, Wenbo, Zheng, Bo and Zhao, Xiangyu (2025). Multi-task offline reinforcement learning for online advertising in recommender systems. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3711896.3737250 |
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2025 Conference Publication FindRec: Stein-guided entropic flow for multi-modal sequential recommendationWang, Maolin, Xiao, Yutian, Wang, Binhao, Zhang, Sheng, Ye, Shanshan, Wang, Wanyu, Yin, Hongzhi, Guo, Ruocheng and Xu, Zenglin (2025). FindRec: Stein-guided entropic flow for multi-modal sequential recommendation. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3711896.3736968 |
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2025 Conference Publication Contrastive graph condensation: advancing data versatility through self-supervised learningGao, Xinyi, Li, Yayong, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Contrastive graph condensation: advancing data versatility through self-supervised learning. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3711896.3736892 |
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2025 Journal Article RobGC: towards robust graph condensationGao, Xinyi, Yin, Hongzhi, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Cui, Bin (2025). RobGC: towards robust graph condensation. IEEE Transactions on Knowledge and Data Engineering, 37 (8), 4791-4804. doi: 10.1109/tkde.2025.3569629 |
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2025 Journal Article A survey of machine unlearningNguyen, Thanh Tam, Huynh, Thanh Trung, Ren, Zhao, Nguyen, Phi Le, Liew, Alan Wee-Chung, Yin, Hongzhi and Nguyen, Quoc Viet Hung (2025). A survey of machine unlearning. ACM Transactions on Intelligent Systems and Technology, 16 (5) 3749987, 1-46. doi: 10.1145/3749987 |
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2025 Conference Publication Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationWen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305 |
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2025 Conference Publication Diversity-aware dual-promotion poisoning attack on sequential recommendationZhao, Yuchuan, Chen, Tong, Yu, Junliang, Zheng, Kai, Cui, Lizhen and Yin, Hongzhi (2025). Diversity-aware dual-promotion poisoning attack on sequential recommendation. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3729955 |
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2025 Conference Publication ID-free not risk-free: LLM-powered agents unveil risks in ID-free recommender systemsWang, Zongwei, Gao, Min, Yu, Junliang, Gao, Xinyi, Nguyen, Quoc Viet Hung, Sadiq, Shazia and Yin, Hongzhi (2025). ID-free not risk-free: LLM-powered agents unveil risks in ID-free recommender systems. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730003 |
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2025 Conference Publication Towards distribution matching between collaborative and language spaces for generative recommendationZhang, Yi, Zhang, Yiwen, Wang, Yu, Chen, Tong and Yin, Hongzhi (2025). Towards distribution matching between collaborative and language spaces for generative recommendation. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730098 |
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2025 Conference Publication STAR-Rec: Making peace with length variance and pattern diversity in sequential recommendationWang, Maolin, Zhang, Sheng, Guo, Ruocheng, Wang, Wanyu, Wei, Xuetao, Liu, Zitao, Yin, Hongzhi, Chang, Yi and Zhao, Xiangyu (2025). STAR-Rec: Making peace with length variance and pattern diversity in sequential recommendation. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730087 |
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2025 Journal Article Lightweight Embeddings with Graph Rewiring for Collaborative FilteringLiang, Xurong, Chen, Tong, Yuan, Wei and Yin, Hongzhi (2025). Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. ACM Transactions on Information Systems, 43 (4) 108, 1-29. doi: 10.1145/3742424 |
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2025 Journal Article HGDNet: De-noised Review-based Rating Prediction using Hierarchical Gating and Discriminative NetworksMa, Jingwei, Wen, Jiahui, Zhu, Lei, Zhong, Mingyang, Xu, Yang, Guo, Lei and Yin, Hongzhi (2025). HGDNet: De-noised Review-based Rating Prediction using Hierarchical Gating and Discriminative Networks. ACM Transactions on Information Systems, 43 (5) 140, 1-26. doi: 10.1145/3746282 |
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2025 Journal Article Coherence-guided preference disentanglement for cross-domain recommendationsXiang, Zongyi, Zhang, Yan, Duan, Lixin, Yin, Hongzhi and Ivor, W. Tsang (2025). Coherence-guided preference disentanglement for cross-domain recommendations. ACM Transactions on Information Systems, 43 (4) 109, 1-28. doi: 10.1145/3742855 |
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2025 Journal Article Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive RecommendationXuan, Hongrui, Li, Bohan, Wu, Wenlong, Liu, Yi and Yin, Hongzhi (2025). Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive Recommendation. ACM Transactions on Intelligent Systems and Technology, 16 (5), 1-23. doi: 10.1145/3735512 |
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2025 Conference Publication CADRL: category-aware dual-agent reinforcement learning for explainable recommendations over knowledge graphsZheng, Shangfei, Yin, Hongzhi, Chen, Tong, Kong, Xiangjie, Hou, Jian and Zhao, Pengpeng (2025). CADRL: category-aware dual-agent reinforcement learning for explainable recommendations over knowledge graphs. 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, Hong Kong, 19-23 May 2025. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde65448.2025.00017 |
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2025 Conference Publication Training-Free Heterogeneous Graph Condensation via Data SelectionLiang, Yuxuan, Zhang, Wentao, Gao, Xinyi, Yang, Ling, Chen, Chong, Yin, Hongzhi, Tong, Yunhai and Cui, Bin (2025). Training-Free Heterogeneous Graph Condensation via Data Selection. IEEE. doi: 10.1109/icde65448.2025.00132 |
