Wei Yuan

Wei Yuan

PostDoc at The University of Queensland

Google Scholar

* means corresponding author or equal contributions.
  1. Xiaobo Xing, Wei Yuan*, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin: TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding. ICLR 2026. (Tsinghua A, CORE A*, *Co-first author)
  2. Zhaofeng Zhong, Wei Yuan*, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin: Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model. TIST 2026. (JCR Q1, *Corresponding Author)
  3. Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin: Multi-agents based User Values Mining for Recommendation. DSE 2026 (JCR Q1).
  4. Jie Zhong, Tong Chen, Wei Yuan, Lizhen Cui, Hongzhi Yin: LogicGate: Adaptive Rule-Based Modeling of Exogenous Effects for Time-Series Forecasting. DASFAA 2026. (CCF B)
  5. Shangfei Zheng, Xiaotong Nie, Wei Yuan, Liang Qu, Xiangjie Kong, Yuchao Zhang, Jian Hou: Context-aware Adaptive Reinforcement Learning for Multi-hop Knowledge Graph Reasoning in Few-shot Scenarios. KBS 2025, (JCR Q1)
  6. Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, and Hongzhi Yin: Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics. ICDM 2025 (CCF B, CORE A*).
  7. Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. TOIS 2025. (CCF A, CORE A)
  8. Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin: Data Watermarking for Sequential Recommender Systems. KDD 2025. (CCF A, CORE A*)
  9. Enyue Yang, Yudi Xiong, Wei Yuan, Weike Pan, Qiang Yang, Zhong Ming: A Survey on Cross-User Federated Recommendation. SCIS 2025. (CCF A)
  10. Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yushui Shi, Chengqi Zhang. On-Device Recommender Systems: A Comprehensive Survey. Data Science and Engineering 2025. (Q1 Journal)
  11. Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Bin Cui, Tieke He, Hongzhi Yin: Tackling Data Heterogeneity in Federated Time Series Forecasting. SCIS 2025. (CCF A)
  12. Wei Yuan, Chaoqun Yang, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin: FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Service. TOIS 2025. (CCF A, CORE A)
  13. Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin: PTF-FedSeqRec: A Parameter Transmission-Free Federated Sequential Recommender System. TOIS 2025. (CCF A, CORE A)
  14. Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen: PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System. ADMA 2024. (CCF C)
  15. Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin: Robust Federated Contrastive Recommender System against Target Model Poisoning Attack. SCIS 2024. (CCF A)
  16. Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin: Watermarking Recommender Systems. CIKM 2024 (CCF B, CORE A)
  17. Lijian Chen, Wei Yuan*, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Hongzhi Yin: Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. TOIS 2024 (CCF A, CORE A). *Contributing equally with the first author.
  18. Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin: Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE 2024 (CCF A, CORE A*)
  19. Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin: Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024 (CCF A, CORE A*).
  20. Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin: HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024 (CCF A, CORE A*).
  21. Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin: Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. TOIS 2023 (CCF A, CORE A).
  22. Shijie Zhang, Wei Yuan, Hongzhi Yin: Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks. TKDE 2023 (CCF A, CORE A*).
  23. Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin: KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL 2023 (CCF A, CORE A*).
  24. Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin: Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023 (CCF A, CORE A*, Code).
  25. Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin: Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023 (CCF A, CORE A*).
  26. Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang: Federated Unlearning for On-Device Recommendation. WSDM 2023 (CCF B, CORE A*, Code).
  27. Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin: CIRCLE: Continual Repair across Programming Languages. ISSTA 2022 (CCF A, CORE A).
  28. Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui: Unified Question Generation with Continual Lifelong Learning. WWW 2022 (CCF A, CORE A*).
  29. Wei Yuan, Tieke He, Xinyu Dai: Improving Neural Question Generation using Deep Linguistic Representation. WWW 2021 (CCF A, CORE A*).
  30. Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao: Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph. ISSTA 2020 (CCF A, CORE A).
  31. Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He: An Empirical Study of Law Articles Prediction on Transportation Legal Cases. DSA 2020.
  32. Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He: N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. WISA 2020.
  33. Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He: Mining the Software Engineering Forums: What’s New and What’s Left. WISA 2020.