Zhiwei Li (李志伟), born in 1997 in Zhengzhou, Henan, China, is a prominent PhD candidate at the University of Technology Sydney, where he joins the UTS AAII, and specializes in Federated Recommendation Systems under the guidance of Prof. Guodong Long. His significant contributions to this field are supported by a full scholarship.
Prior to this, Zhiwei honed his skills at ShanghaiTech University, earning a Master’s degree in Computer Science and Technology in 2023 under Prof. Lu Sun, with a focus on Multi-View Multi-Label Learning.
His academic journey commenced with a Bachelor’s degree from Zhengzhou University in 2020, where he was an integral part of the ZZU-DROID team in the Bipedal Robot Laboratory of Zhengzhou University. There, he gained extensive experience in Python programming and robot control from 2017.06 to 2020.07, setting a robust foundation for his future endeavors in computer science.
For the PDF resume, please click the following link: Zhiwei’s Resume
Currently, Zhiwei is just beginning to emerge in academia 
- 2023 ~ NOW: Federated Recommendation Systems;
- 2020 ~ 2023: Multi-View Multi-Label Learning.
Remark: I believe that collaboration drives significant progress. I am eager to collaborate with researchers and professionals from both academia and industry to address challenging issues in federated recommendation systems and beyond. If you are interested in collaborating, please feel free to reach out.
🔥 News
- 2025.04: I am honored to have been selected as one of the Best Reviewers for AISTATS 2025!
- 2024.12: We have a tutorial about Personalized Federated Recommendation Systems accepted by WWW 2025.
- 2024.12：I have one paper accepted by AAAI 2025!
- 2024.11: I am invited to give a talk on federated recommendation systems at FL@FM-AJCAI’24 and also serve as the workshop host.
- 2024.11: I am very honored to receive the AAII Student Best Paper Award 2024 in the category of AI application (Top student award in AAII, UTS)!
- 2024.01: I have one paper accepted by ICLR 2024!
- 2023.11: I am honored to be a member of UTS AAII!
- 2023.08: I have one paper accepted by PRICAI 2023!
- 2023.06: I have obtained my Master degree from ShanghaiTech University!
📝 Publications
Preprint
Arxiv 2024Zhiwei Li, Guodong Long, Jing Jiang and Chengqi Zhang, “Personalized Item Representations in Federated Multimodal Recommendation” in Arxiv. 2024. [Preprint] ( Extended the multimodal recommendation framework MMRec to a federated setting. )Arxiv 2024Zhiwei Li, Guodong Long, “Navigating the Future of Federated Recommendation Systems with Foundation Models.” in Arxiv. 2024. [Preprint]
Conference
AAAI 2025Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang and Chengqi Zhang, “Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach” in AAAI. 2025. [code & supplementary] ( Optimized the framework code in FedRAP. )ICLR 2024Zhiwei Li, Guodong Long and Tianyi Zhou, “Federated Recommendation with Additive Personalization.” in ICLR. 2024. [code]PRICAI 2023Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo and Kego Kimura, “Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels.” in PRICAI. 2023. [code & supplementary]IJCAI 2023Zijian Yang, Zhiwei Li and Lu Sun, “Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning.” in IJCAI. 2023. [code]
🎉 Selected Honors and Awards
- 2024.11: AAII Student Best Paper Award 2024
- 2022.12: The Merit Student of ShanghaiTech University
- 2018.12: The School Outstanding Student Cadre
- 2018.11: The Third Prize Scholarship of Zhengzhou University
- 2019.05: RoboCup Asia-Pacific TianJin Invitational Tournament 2019 - 2nd Place
- 2019.04: 2019 RoboCup China Open Standard Platform League (NAO) - 3rd Place
- 2017.12: “Softbank Robot Cup” 2017 China Robot Skills Competition - 2nd Prize
🎓 Educations
- PhD: Analytics, University of Technology Sydney, 2023.11 ~ NOW
- M.S.: Computer Science and Technology, Shanghaitech University, 2020.09 ~ 2023.06
- B.E.: Computer Science and Technology, Zhengzhou University, 2016.09 ~ 2020.06
💻 Professional Experience
- Research Assistant, Supervised by Prof. Lu Sun, Shanghaitech University, 2023.07 ~ 2023.11
- Teaching Assistant, Machine Learning, Shanghaitech University, Fall 2022 (Instructor: Prof. Sibei yang)
- Teaching Assistant, Machine Learning, Shanghaitech University, Spring 2022 (Instructor: Prof. Hao Wang)
📖 Academic Service
- Reviewer / Program Committee Member: AISTATS, ICLR, IJCAI, NeurIPS, WWW.
💬 Invited Talks
- Federated Recommendation: FL@FM-AJCAI’24.