I am a 3rd-year PhD student at Dartmouth College advised by Prof. Yujun Yan. Previously, I received my CS master’s degree from University of Virginia, advised by Prof. Jundong Li. My CV.

Research Interest

I am interested in Foundation Models and Machine Learning, including:

• Foundation Model Post-Training: I aim to shape reasoning behaviors in language models to better align with human thinking. My work focuses on supervised fine-tuning and inference-time methods for LLMs and diffusion-based language models. I also extend my research to interdisciplinary domains such as neuroscience.

• Graph Machine Learning: I study graph learning frameworks that generalize across heterogeneous relational data, with applications to recommender systems and real-world tasks.

Education

• Master of Computer Science, University of Virginia (2019 - 2021)
  • Major GPA: 3.95/4.00, Charlottesville, VA, United States
• Visiting Student, University of British Columbia (June 2018 - August 2018)
  • Department of Electrical and Computer Engineering, Vancouver, BC, Canada
• Bachelor of Computer Science, Hebei University of Technology (2015 - 2019)
  • Major GPA: 87/100, Tianjin, China

Services

• Reviewer: AMLC (Amazon Machine Learning Conference)’22, ICLR’24, NeurIPS’24
• External Reviewer: ICLR’23, JMLR’22, ECML’22, PAKDD’21, WSDM’21

Awards

• ICML Travel Grant (2024), SIGIR Student Grant (2022)
• Top Academic Fellowship (2016, 2017, 2018, 2019)

Misc

• I come from Tianjin, a coastal metropolis in Northern China
• I like Guitar, Piano, Driving and K-pop, my favourite K-pop group is Girls’ Generation