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Biography

My research is dedicated to developing AI systems that can be integrated into daily life in an effective, reliable manner. My research objectives are threefold: (1) Design theoretical frameworks and algorithms to evaluate and mitigate model vulnerabilities; (2) Unpack the reasoning and creative capabilities of large language models (LLMs); (3) Develop theories and algorithms to enhance the robustness of distributed learning frameworks for LLMs and AI-aided co-creation. My long-term research goal is to accelerate the seamless integration of AI systems into everyday life and drive advancements in social productivity.

I am currently a Research Assistant Professor at Hong Kong University of Science and Technology (HKUST), collaborating with Prof. Yike Guo (Fellow of IEEE and Royal Academy of Engineering). Prior to this, I served as a Postdoctoral Fellow at Hong Kong Baptist University (HKBU), working with Prof. Yiu-ming Cheung (IEEE Fellow) and Prof. Bo Han. I obtained my Ph.D. degree from the University of Science and Technology of China (USTC) in June 2022, under the supervision of Prof. Xinmei Tian.

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Research Interests

My research interests lie in Trustworthy Machine Learning, Trustworthy Machine Reasoning, Federated Learning, and Out-of-Distribution Learning.

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Research Experience

• Research Assistant Professor (Mar 2026 -- Present)

Hong Kong University of Science and Technology (HKUST)
Advisor: Prof. Yike Guo (Fellow of IEEE and Royal Academy of Engineering)
Project: Trustworthy Machine Learning and Reasoning

• Post-Doctoral Fellow (Jun 2025 -- Feb 2026)

Hong Kong University of Science and Technology (HKUST)
Advisor: Prof. Yike Guo (Fellow of IEEE and Royal Academy of Engineering)
Project: Trustworthy Machine Learning and Reasoning

• Post-Doctoral Fellow (Aug 2022 -- Jun 2025)

Hong Kong Baptist University (HKBU)
Advisors: Prof. Yiu-ming Cheung (IEEE Fellow) and Dr. Bo Han
Project: Adversarial Learning and Federated Learning

• Research Assistant (Dec 2020 -- Jul 2022)

University of Science and Technology of China (USTC)
Advisor: Dr. Bo Han
Project: Adversarial Learning

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Education

• Ph.D. in Information and Communication Engineering (Sep 2017 -- Jun 2022)

University of Science and Technology of China (USTC), China
Thesis: Adversarial Robustness of Deep Learning through the Lens of Data Distribution
Supervised by Prof. Xinmei Tian



• Bachelor of Electronic Information Engineering (Sep 2013 -- Jul 2017)

China University of Petroleum (East China), Qingdao, China
Thesis: Research on Adversarial Examples
Supervisors: Yanjiang Wang and Weifeng Liu