About Me
I am Ph.D. candicate in Computer Science at Virginia Tech, advised by Professor Dawei Zhou. I received my M.S. in Statistics from the University of North Carolina at Chapel Hill in 2024, where I was luckily advised by Professor Yun Li, and my B.S. in Statistics and B.A. in English Literature and Linguistics from Zhejiang University in 2022.
My research focuses on Machine Learning and Data Mining, with an emphasis on developing statistically grounded, computationally efficient frameworks to address challenges in open-world learning. I am particularly interested in advancing the theoretical and empirical understanding of LLMs to improve their reliability and generalization in real-world applications.
What I'm Focusing
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Open-world LLM:
Developed advanced methods to enhance large language models with robust adaptability and precision in open-world settings. [LensLLM, Plan-and-Budget]
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Ai4Science:
Applied ML and statistical modeling to biological data for structure prediction, biomarker discovery, and disease analysis. [DISPROTBENCH, Epic-Unmix]
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Exploring other areas and welcome collaborations!
Latest News
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[Oct 2025] One paper Epic-Unmix was accepted by Genome Biology! -
[Aug 2025] Glad my research about foundational LLM fine-tuing be accepted by ICDM PhD forum, see you in D.C. on Nov 12 -15! -
[July 2025] Honored to receive GPSS Travel Grant from Virginia Tech! -
[June 2025] Honored to receive Student Travel Award from CS Department at Virginia Tech! -
[May 2025] My first leading paper LensLLM has been accepted as poster at ICML'25 main conference!