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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 <i>iMeta</i> Conference 2025: Creating high‐impact international journalsZhu, Zhihao, Zhang, Lin, Yao, Xiaofang, Zeng, Meiyin, Wang, Yao, Luo, Hao, Zhou, Yuanping, Zhang, Tianyuan, Xun, Jiani, Bai, Defeng, Yang, Haifei, Xu, Shanshan, Zhou, Yang, Gao, Yunyun, Xu, Jinbo, Han, Wei, Shen, ZiAng, Zhang, Bangzhou, Ma, Tengfei, Wan, Xiu‐Lin, Ma, Chuang, Hui, Fengjiao, Bai, Hao, Bai, Lijing, Bai, Qing, Bao, Qiangguo, Cao, Guodong, Cao, Peng, Cao, Qiqi ... Liu, Yong‐Xin (2025). iMeta Conference 2025: Creating high‐impact international journals. iMeta e70086. doi: 10.1002/imt2.70086 |
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2025 Book Chapter Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution ShiftsJiang, Haiyang, Chen, Tong, Zhang, Wentao, Nguyen, Quoc Viet Hung, Yuan, Yuan, Li, Yong and Yin, Hongzhi (2025). Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts. Lecture Notes in Computer Science. (pp. 141-159) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-06066-2_9 |
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2025 Journal Article <i>iMeta</i>: Boosting academic sharing and collaboration via social mediaYao, Xiaofang, Wu, Jiqiu, Ma, Tengfei, Shi, Chun‐Lin, Lan, Canhui, Li, Danyi, Fu, Jingyuan, Shen, Ziang, Chen, Tong and Liu, Yong‐Xin (2025). iMeta: Boosting academic sharing and collaboration via social media. iMeta, 4 (5) e70085. doi: 10.1002/imt2.70085 |
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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 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 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 Continual text-to-video retrieval with frame fusion and task-aware routingZhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong (2025). Continual text-to-video retrieval with frame fusion and task-aware routing. 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: 10.1145/3726302.3729936 |
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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 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 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 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 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 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 Journal Article Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphsZheng, Shangfei, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Chen, Wei and Zhao, Lei (2025). Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs. IEEE Transactions on Knowledge and Data Engineering, 37 (5), 2405-2419. doi: 10.1109/tkde.2025.3546686 |
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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 Journal Article Graph condensation: a surveyGao, Xinyi, Yu, Junliang, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Graph condensation: a survey. IEEE Transactions on Knowledge and Data Engineering, 37 (4), 1819-1837. doi: 10.1109/tkde.2025.3535877 |
