Contact Information
| Name | Zhiwei Li |
| Professional Title | PhD Candidate |
| lizhw.cs@outlook.com | |
| Location | Sydney, Australia |
| GitHub | mtics |
| lizhiwi |
Professional Summary
PhD candidate at UTS AAII researching privacy-preserving personalized recommender systems under federated, multimodal, and foundation-model settings.
Education
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PhD Candidate
University of Technology Sydney
Analytics (Australian Artificial Intelligence Institute)
Advisor — Prof. Guodong Long.
Research focus — privacy-preserving personalized recommender systems under federated, multimodal, and foundation-model settings.
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M.S.
ShanghaiTech University
Computer Science and Technology
Advisor — Prof. Lu Sun.
Research focus — multi-view / multi-label learning.
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B.E.
Zhengzhou University
Computer Science and Technology
Member of the ZZU-DROID bipedal-robot team (2017–2020).
RoboCup Asia-Pacific / China Open competitions, 2017–2019.
Experience
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Research Assistant
ShanghaiTech University
Continued research with Prof. Lu Sun on multi-view multi-label learning.
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Teaching Assistant — Machine Learning
ShanghaiTech University
Instructor — Prof. Sibei Yang (Fall 2022).
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Teaching Assistant — Machine Learning
ShanghaiTech University
Instructor — Prof. Hao Wang (Spring 2022).
Awards
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Best Reviewer
AISTATS 2025
Recognized as one of the Best Reviewers at the 28th International Conference on Artificial Intelligence and Statistics.
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AAII Student Best Paper Award 2024
Australian Artificial Intelligence Institute, UTS
Top student award in the AI Application category at AAII, UTS.
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Merit Student
ShanghaiTech University
Awarded for outstanding academic performance during M.S. studies.
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Outstanding Student Cadre
Zhengzhou University (School of Information Engineering)
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2nd Place
RoboCup Asia-Pacific Tianjin Invitational Tournament 2019
With the ZZU-DROID bipedal-robot team.
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3rd Place
RoboCup China Open 2019, Standard Platform League (NAO)
With the ZZU-DROID bipedal-robot team.
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2nd Prize
Softbank Robot Cup — 2017 China Robot Skills Competition
With the ZZU-DROID bipedal-robot team.
Service
ICLR, NeurIPS, AAAI, IJCAI, WWW, ECAI, AISTATS
IEEE TPAMI, IEEE TNNLS, IEEE TKDE, IEEE TAFFC, IEEE TAI
Personalized Federated Recommender Systems @ WWW 2025
FL@FM-AJCAI 2024 — Federated Learning for Foundation Models
Languages
Native speaker
Fluent