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 includes Embodied Intelligence, Recommender Systems, Federated Learning, and AI Security, with a recent strong focus on using LLMs for the above areas efficiently and securely.

I completed my Ph.D. at the University of Queensland (with 6 months early graduation) in Mar. 2025 under the supervision of Prof. Hongzhi Yin and Dr. Miao Xu. Before coming to UQ, I received my Master’s degree from Nanjing University under the supervision of A/Prof. Tieke He.

Research Interests

• Embodied Intelligence (⇐ The most recent interests.)
• Recommender System
• Federated/Decentralized Learning and Edge Intelligence
• AI Security
• Urban Computing
• Efficient LLMs

News

• (06/02/2026) I’m pleased to share that our workshop proposal “LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation” has been accepted at SIGIR 2026 (CCF-A). It is a great honor to serve as a co-chair/organizer alongside Prof. Hongzhi Yin[UQ], Mr. Yi Zhang [AHU], Dr. Joel Mackenzie [UQ], Prof. Quoc Viet Hung Nguyen, Prof. Xin Zhao [RUC], Prof. Yong Li [THU], and Prof. Lina Yao [UNSW]. Our workshop aims to bring together researchers and practitioners to systematize recent advances in LLM-powered user profiling, identify open challenges, and explore how these techniques can be integrated into modern search and recommendation pipelines.
• (26/01/2026) One paper has been accepted to ICLR 2026. Congratulations to Xiaobo on this achievement as a master’s student :)
• (13/01/2026) We are organizing the 12th International Workshop on Big Data Management and Service on DASFAA 2026 (CCF-B conference). Warmly welcome submissions!

Publication List

Academic Services

• Co-Chair/Organizer:
  • LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation
  • 12th International Workshop on Big Data Management and Service on DASFAA2026.
• PC member: ACL 2026, SIGIR 2025/2026, The Web Conference (WWW) 2024/2025/2026, KDD 2024/2025/2026, WSDM 2026, CIKM 2023/2024/2025, IEEE BigData 2025/2026, ADC 2024.
• Journal reviewer: TKDE, TOIS, TSC, TKDD, TNNLS, KAIS, Neural Networks, Science China Information Science, KBS, etc.

Teaching Experience

1. Social Media Analytics 2026, Guest Lecturer, The University of Queensland
2. Social Media Analytics 2022/2025, TA, The University of Queensland
3. Comprehensive Practice and Application of Data Science, TA, Nanjing University
4. Fundamentals of Computer Systems, TA, Nanjing University
5. Big Data Analysis, TA, Nanjing University

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-1/1000+ (with both preliminary and final scores) in the national post-graduate entrance examination, Software Institute at Nanjing University, 2019