I am a Senior Applied Scientist at Microsoft. I received my Ph.D. in Computer Science at Virginia Tech, where I was advised by Prof. Lifu Huang. Previously, I received my Bachelor’s Degree in the School of CSE, South China University of Technology (SCUT). I was a research intern at Bloomberg CTO Office in Summer 2025, a Research Intern at Microsoft in Summer 2024, and an Applied Scientist Intern at AWS AI in Summer 2023. [Google Scholar][CV (Updated on Oct 2025)].

Research Interests

Currently, I am interested in the following topics:
1) Evaluation for large generative models and agentic systems;
2) AI Safety, e.g., alignment and content moderation for large language models;
3) Continual learning for NLP: acquiring new knowledge and skills from the evolving environment while retaining previously learned knowledge.

News

[2026.4] My work done during the Bloomberg internship has been accepted to ACL 2026 Main conference! Great thanks to my awesome mentors!
[2025.5] Our recent work on safety assessment of LLM persuasion has been accepted by COLM 2025! Great thanks to all the collaborators!
[2025.1] Our recent work of unified interleaved text-and-image generation has been accepted by ICLR 2025! Great thanks to all the collaborators!
<!– [2024.9] Our work InterleavedEval, a new benchmark and holistic evaluation metrics for interleaved text-and-image generation, has been accepted to EMNLP 2024 Main conference! Big thanks to all my collaborators!

[2024.5] I’m thrilled to start my research internship at Microsoft this summer!
[2024.3] One paper on NLG evaluation is accepted by NAACL 2024 (main conference). Congrats to my collaborators!