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2026 Conference Publication Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender SystemsZhao, Yuchuan, Chen, Tong, Yu, Junliang, Wang, Zongwei, Cui, Lizhen and Yin, Hongzhi (2026). Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems. New York, NY, USA: ACM. doi: 10.1145/3805712.3809691 |
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2026 Conference Publication ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender SystemsZhang, Yi, Zhang, Yiwen, Zheng, Kai, Chen, Tong and Yin, Hongzhi (2026). ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems. New York, NY, USA: ACM. doi: 10.1145/3805712.3809600 |
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2026 Conference Publication DriftNavi: Talk through Your Data Drift with LLMsWang, Zixin, Yu, Junliang, Chen, Tong, Luo, Yadan and Sadiq, Shazia (2026). DriftNavi: Talk through Your Data Drift with LLMs. New York, NY, USA: ACM. doi: 10.1145/3774905.3793123 |
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2026 Conference Publication ProEx: a unified framework leveraging large language model with profile extrapolation for recommendationZhang, Yi, Zhang, Yiwen, Wang, Yu, Chen, Tong and Yin, Hongzhi (2026). ProEx: a unified framework leveraging large language model with profile extrapolation for recommendation. KDD '26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Jeju, Korea, 9 - 13 August 2026. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3770854.3780284 |
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2026 Conference Publication Efficient content-based recommendation model training via noise-aware coreset selectionTran, Hung Vinh, Chen, Tong, Wen, Hechuan, Nguyen, Quoc Viet Hung, Cui, Bin and Yin, Hongzhi (2026). Efficient content-based recommendation model training via noise-aware coreset selection. WWW '26: Proceedings of the ACM Web Conference 2026, Dubai United Arab Emirates, 13 - 17 April 2026. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3774904.3792686 |
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2026 Conference Publication Relational Database Distillation: From Structured Tables to Condensed Graph DataGao, Xinyi, Zhang, Jingxi, Chen, Lijian, Chen, Tong, Cui, Lizhen and Yin, Hongzhi (2026). Relational Database Distillation: From Structured Tables to Condensed Graph Data. New York, NY, USA: ACM. doi: 10.1145/3774904.3792734 |
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2026 Conference Publication PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation DetectionWang, Zongwei, Gao, Min, Yu, Junliang, Chen, Tong and Lin, Chenghua (2026). PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. New York, NY, USA: ACM. doi: 10.1145/3774904.3792166 |
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2026 Conference Publication Multi-scale geographical identification of synchrophasor sources for enhancing cyber-physical resilience in distribution networksCui, Yi, Ko, Ryan K L and Chen, Tong (2026). Multi-scale geographical identification of synchrophasor sources for enhancing cyber-physical resilience in distribution networks. 2026 IEEE PES International Meeting (PES IM), Hong Kong, Hong Kong, 18-21 January 2026. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pesim67009.2026.11438932 |
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2026 Conference Publication 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 (2026). Memory-enhanced invariant prompt learning for urban flow prediction under distribution shifts. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025, Porto, Portugal, 15-19 September 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-06066-2_9 |
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2025 Conference Publication Harnessing large language models for Group POI recommendationsLong, Jing, Qu, Liang, Yu, Junliang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Harnessing large language models for Group POI recommendations. 34th ACM International Conference on Information and Knowledge Management CIKM 2025, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761018 |
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2025 Conference Publication Efficient multimodal streaming recommendation via Expandable Side Mixture-of-ExpertsQu, Yunke, Qu, Liang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Efficient multimodal streaming recommendation via Expandable Side Mixture-of-Experts. CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul, South Korea, 10-14 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746252.3761390 |
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2025 Conference Publication MAXplain: A multi-agent system for interactive multimodal hate speech detectionRiekers, Nils, Risius, Marten and Chen, Tong (2025). MAXplain: A multi-agent system for interactive multimodal hate speech detection. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY United States: ACM. doi: 10.1145/3746027.3754474 |
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2025 Conference Publication Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videosZhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758257 |
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2025 Conference Publication Learning a universal crime predictor with knowledge-guided hypernetworksKarimova, Fidan, Chen, Tong, Yang, Yu and Sadiq, Shazia (2025). Learning a universal crime predictor with knowledge-guided hypernetworks. 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA251027 |
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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 United States: Association for Computing Machinery. doi: 10.1145/3711896.3736892 |
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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 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 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 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 |
