Xiaoyuan Zhang

I am a Ph.D. candidate at the Department of Computer Science, CityUHK. I will graduate in April 2025 under the supervision of Chair Prof. Zhang Qingfu (IEEE Fellow). Before joining CityUHK, I received my B.E. (2017) and M.E. (2020) degrees from Shanghai Jiao Tong University, where I was advised by Prof. Qi Chenkun. I have also been fortunate to maintain long-term collaborations with Prof. Yang Yaodong at Peking University and Prof. Han Zhao at the University of Illinois at Urbana-Champaign.

I focus on the theory, software implementation, and engineering applications of multi-objective optimization. I have made many theoretical advances in Pareto set learning and developed LibMOON, the first open-source, gradient-based library for large-scale multi-objective optimization. Collaborating with the team from PKU, I applied this technique to train large language models (LLMs) with tens of billions of parameters, with results published at NeurIPS 2024.

I will graduate in the spring of 2025 and am currently on the job market (CV, 中文简历).

Academic service

• Conference Reviews:
  • ICLR 2025, AISTATS 2025, AAAI 2025
  • NeurIPS 2024, ICLR 2024, ICML 2024
  • ICLR 2023, NeurIPS 2023, ICML 2023
  • ICLR 2022, NeurIPS 2022, ICML 2022
  • ICML 2021
• Journal Reviews:
  • Swarm Evolutionary Computation

Professional Talks

1. MOO: from a Single Solution, to a Set of Solutions, and to Infinite Solutions. Institute for Artificial Intelligence, Peking University, Beijing. Host: Prof. Yang Yaodong. Mar. 8, 2024.
2. Pareto Machine Learning: Theories, Systems, and Applications. OIST, Japan. Host: Prof. Han Zhao, Makoto Yamada. July 18, 2024.