Dr Wei Yuan
Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
Journal Articles
Yuan, 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
Liang, 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
Yuan, Wei, Yang, Chaoqun, Qu, Liang, Ye, Guanhua, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Robust federated contrastive recommender system against targeted model poisoning attack. Science China Information Sciences, 68 (4) 140103, 4. doi: 10.1007/s11432-024-4272-y
Yuan, Wei, Yang, Chaoqun, Qu, Liang, Hung, Nguyen Quoc Viet, Ye, Guanhua and Yin, Hongzhi (2025). PTF-FSR: a parameter transmission-free federated sequential recommender system. ACM Transactions on Information Systems, 43 (2) 52, 1-24. doi: 10.1145/3708344
Chen, Lijian, Yuan, Wei, Chen, Tong, Ye, Guanhua, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). Adversarial item promotion on visually-aware recommender systems by guided diffusion. ACM Transactions on Information Systems, 42 (6) 156, 1-26. doi: 10.1145/3666088
Yuan, Wei, Yuan, Shilong, Yang, Chaoqun, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). Manipulating visually-aware federated recommender systems and its countermeasures. ACM Transactions on Information Systems, 42 (3) 64, 1-26. doi: 10.1145/3630005
Conference Papers
Zhang, 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
Yang, Chaoqun, Yuan, Wei, Qu, Liang and Nguyen, Thanh Tam (2025). PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System. 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, Sydney, NSW Australia, 3-5 December 2024. Springer. doi: 10.1007/978-981-96-0850-8_5
Zhang, Sixiao, Long, Cheng, Yuan, Wei, Chen, Hongxu and Yin, Hongzhi (2024). Watermarking recommender systems. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679617
Yuan, Wei, Qu, Liang, Cui, Lizhen, Tong, Yongxin, Zhou, Xiaofang and Yin, Hongzhi (2024). HeteFedRec: federated recommender systems with model heterogeneity. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00109
Qu, Liang, Yuan, Wei, Zheng, Ruiqi, Cui, Lizhen, Shi, Yuhui and Yin, Hongzhi (2024). Towards personalized privacy: user-governed data contribution for federated recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645690
Yuan, Wei, Yang, Chaoqun, Qu, Liang, Nguyen, Quoc Viet Hung, Li, Jianxin and Yin, Hongzhi (2024). Hide your model: a parameter transmission-free federated recommender system. 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE60146.2024.00053
Yuan, Wei, Nguyen, Quoc Viet Hung, He, Tieke, Chen, Liang and Yin, Hongzhi (2023). Manipulating federated recommender systems: poisoning with synthetic users and its countermeasures. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23-27 July 2023. New York, NY, United States: ACM. doi: 10.1145/3539618.3591722
Wang, Lingzhi, Chen, Tong, Yuan, Wei, Zeng, Xingshan, Wong, Kam-Fai and Yin, Hongzhi (2023). KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 9 - 14 July 2023. Stroudsburg, PA United States: Association for Computational Linguistics. doi: 10.18653/v1/2023.acl-long.740
Yuan, Wei, Yang, Chaoqun, Nguyen, Quoc Viet Hung, Cui, Lizhen, He, Tieke and Yin, Hongzhi (2023). Interaction-level membership inference attack against federated recommender systems. The ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583359
Yuan, Wei, Yin, Hongzhi, Wu, Fangzhao, Zhang, Shijie, He, Tieke and Wang, Hao (2023). Federated unlearning for on-device recommendation. Sixteenth ACM International Conference on Web Search and Data Mining, Singapore, Singapore, 27 February - 3 March 2023. New York, NY, United States: ACM. doi: 10.1145/3539597.3570463
Yuan, Wei, Zhang, Quanjun, He, Tieke, Fang, Chunrong, Hung, Nguyen Quoc Viet, Hao, Xiaodong and Yin, Hongzhi (2022). CIRCLE: continual repair across programming languages. ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Online, 18 - 22 July 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3533767.3534219
Yuan, Wei, Yin, Hongzhi, He, Tieke, Chen, Tong, Wang, Qiufeng and Cui, Lizhen (2022). Unified question generation with continual lifelong learning. WWW 2022 - ACM Web Conference 2022, Virtual Event, Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511930
Thesis
Yuan, Wei (2025). Secure cross-device federated recommender systems. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/4d9d0c8