I am a Ph.D. student in the Computer Science Department at Virginia Tech 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 Microsoft in the Summer 2024 and an Applied Scientist Intern at AWS AI in the Summer 2023. [Google Scholar][CV (Updated on Jan 2025)].

**I am super excited to be a research intern at the Bloomberg CTO Office supervised by Sebastian Gehrmann and Mark Dredze in Summer 2025. See you in NYC! **

Research Interests

My research interests lie in the field of NLP and multimodal learning. Currently, I am interested in the following topics:
1) Evaluation for large language models and vision-language models;
2) Multi-modal learning, reasoning, and generation;
3) Continual learning for NLP: acquiring new knowledge from evolving data while retaining previously learned knowledge.

News

[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!