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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 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 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 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 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 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 |
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2025 Conference Publication Graph condensation: foundations, methods and prospectsYin, Hongzhi, Gao, Xinyi, Yu, Junliang, Qiu, Ruihong, Chen, Tong, Nguyen, Quoc Viet Hung and Huang, Zi (2025). Graph condensation: foundations, methods and prospects. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715862 |
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2025 Conference Publication BiasNavi: LLM-Empowered Data Bias ManagementYu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. ACM Web Conference 2025 (WWW'25), Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715169 |
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2025 Conference Publication The 3rd Workshop on Personal Intelligence with Generative AIZhang, Yang, Wang, Wenjie, Lin, Xinyu, Feng, Fuli, Yin, Hongzhi, Zhao, Wayne Xin, Yao, Lina, Song, Yang and He, Xiangnan (2025). The 3rd Workshop on Personal Intelligence with Generative AI. New York, NY, USA: ACM. doi: 10.1145/3701716.3717524 |
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2025 Conference Publication On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game PerspectiveTran, Hung Vinh, Chen, Tong, Ye, Guanhua, Nguyen, Quoc Viet Hung, Zheng, Kai and Yin, Hongzhi (2025). On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714921 |
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2025 Conference Publication Epidemiology-informed Network for Robust Rumor DetectionJiang, Wei, Chen, Tong, Gao, Xinyi, Zhang, Wentao, Cui, Lizhen and Yin, Hongzhi (2025). Epidemiology-informed Network for Robust Rumor Detection. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714610 |
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2025 Conference Publication Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class PartitionGao, Xinyi, Ye, Guanhua, Chen, Tong, Zhang, Wentao, Yu, Junliang and Yin, Hongzhi (2025). Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714916 |
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2025 Conference Publication Efficient traffic prediction through spatio-temporal distillationZhang, Qianru, Gao, Xinyi, Wang, Haixin, Yiu, Siu-Ming and Yin, Hongzhi (2025). Efficient traffic prediction through spatio-temporal distillation. 39th AAAI Conference on Artificial Intelligence, Philadelphia, PA USA, 25 February-4 March 2025. Washington, DC USA: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i1.32096 |
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2025 Conference Publication Rethinking cancer gene identification through graph anomaly analysisZang, Yilong, Ren, Lingfei, Li, Yue, Wang, Zhikang, Selby, David Antony, Wang, Zheng, Vollmer, Sebastian Josef, Yin, Hongzhi, Song, Jiangning and Wu, Junhang (2025). Rethinking cancer gene identification through graph anomaly analysis. 29th AAAI Conference on Artificial Intelligence, Philadelphia, PA USA, 25 February-4 March 2025. Washington, DC USA: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v39i12.33436 |
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2025 Conference Publication Towards secure and robust recommender systems: a data-centric perspectiveWang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484 |
