Wei Yuan

Wei Yuan

The University of Queensland

Bio

I am a postdoctoral research fellow at the School of Electrical Engineering and Computer Science, The University of Queensland (UQ), working with Prof. Hongzhi Yin. My research mainly focuses on Recommender Systems and Decentralized Learning, Urban Computing, and AI Security. Before at UQ, I received my Master’s degree from Nanjing University supervised by A/Prof. Tieke He.

Education Experience

  • PhD, Data Science, University of Queensland, Australia, 2022.01 ~ 2025.03.
  • MS, Software Engineering, Nanjing University, China, 2019.09 ~ 2021.06.
  • BS, Software Engineering, Southwest Jiaotong University, China, 2015.09 ~ 2019.06.

Research Interests

  • Recommender System
  • Urban Computing
  • Federated/Decentralized Learning and Edge Intelligence,
  • Security
  • Natural Language Generation.

News

  • (24/05/2025) One paper has been accepted by TOIS2025, congrats to Jason!
  • (15/05/2025) One paper has been accepted by KDD2025, congrats to Sixiao!

Academic Services

  • PC member: CIKM 2023/2024/2025, The Web Conference (WWW) 2024/2025, KDD 2024/2025, IEEE BigData 2025, ADC 2024.
  • Journal reviewer: TKDE, TOIS, TSC, TKDD, TNNLS, KAIS, Neural Networks, Science China Information Science, KBS, etc.

Publications

  1. Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. TOIS 2025. (CCF A, CORE A)
  2. Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin: Data Watermarking for Sequential Recommender Systems. KDD 2025. (CCF A, CORE A*)
  3. Enyue Yang, Yudi Xiong, Wei Yuan, Weike Pan, Qiang Yang, Zhong Ming: A Survey on Cross-User Federated Recommendation. SCIS 2025. (CCF A)
  4. 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)
  5. 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)
  6. Chaoqun Yang, Wei Yuan, Liang Qu, Thanh Tam Nguyen: PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System. ADMA 2024. (CCF C)
  7. 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)
  8. Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin: Watermarking Recommender Systems. CIKM 2024 (CCF B, CORE A)
  9. 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.
  10. 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*)
  11. 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*).
  12. 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*).
  13. 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).
  14. Shijie Zhang, Wei Yuan, Hongzhi Yin: Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks. TKDE 2023 (CCF A, CORE A*).
  15. 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*).
  16. 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).
  17. 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*).
  18. 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).
  19. 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).
  20. 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*).
  21. Wei Yuan, Tieke He, Xinyu Dai: Improving Neural Question Generation using Deep Linguistic Representation. WWW 2021 (CCF A, CORE A*).
  22. 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).
  23. 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.
  24. Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He: N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. WISA 2020.
  25. Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He: Mining the Software Engineering Forums: What’s New and What’s Left. WISA 2020.

Teaching Assistantship

  1. Social Media Analytics 2022/2025, The University of Queensland
  2. Comprehensive Practice and Application of Data Science, Nanjing University
  3. Fundamentals of Computer Systems, Nanjing University
  4. Big Data Analysis, Nanjing University

Invited Talk

  1. Federated Recommender System with Large Language Model, CCF YOCSEF Jinan, Shandong, 22/03/2025

Awards & Honor

  1. SIGIR Student Travel Grant, 2023
  2. UQ-CSC Full Ph.D. Scholarship (2022.01 - 2025.12)
  3. School Outstanding Student, Nanjing University, 2020.12
  4. Second-class Talent Scholarship, Nanjing University, 2020.11
  5. Ranked Top-1 (with both preliminary and final scores) in the national postgraduate entrance exam of the Software Engineering of Nanjing University, 2019

Motto

The way of study and inquiry is none other than the search for the lost mind. (Mencius)
学问之道无他,求其放心而已矣。《孟子.告子章句上》