About Me

I am a 4th-year Mathematics of Computation undergraduate student at UCLA. I am passionate about using mathematics and machine learning to tackle new challenges and unlock the potentials of emerging technologies. My research interests are in Explainable AI, Generative Models, Graph Neural Network, and AI4Science. Previously, I participated in UCLA’s computational and applied math (CAM) REU, where we conduct research in applying statistis to investigate the effectiveness of Los Angeles Gang Prevention program under the guidence of Prof. Andrea Bertozzi and Dr. Jona Lelmi. Currently, I am conducting research at UCLA Computational Machine Learning Lab and at UCLA Data Mining Lab where I am foutunate to be advised by Prof. Cho-Jui Hsieh and Prof. Yizhou Sun.

Feel free to connect with me and explore new opportunities, future collaborations, and exciting ventures together!

Research

Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks Haoyu Li*, Shichang Zhang*, Longwen Tang, Mathieu Bauchy, Yizhou Sun (*equal contribution)

[Paper] - Accepted at ICML 2024

Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation
Tong Xie*, Haoyu Li*, Andrew Bai, Cho-jui Hsieh (*equal contribution)

[Paper] - Accepted at TMLR 2024

Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi

[Paper] – Accepted at IEEE big data 2023 DS4EIW Workshop