Yanqiao ZHU’s Homepage

Welcome to Yanqiao ZHU’s Personal Homepage!

I am a third-year Ph.D. student in Computer Science at the University of California, Los Angeles, where I am fortunate to be jointly advised by Professors Wei Wang and Yizhou Sun. Before joining UCLA, I obtained my master’s degree in Computer Science from the Institute of Automation, Chinese Academy of Sciences.

I have a broad interest in developing AI models and exploring their applications across diverse real-world domains. My research spans graph and geometric deep learning, data-efficient learning (e.g., unsupervised and self-supervised learning), and large language models. I apply these advanced AI models to recommender systems and healthcare, while recently expanding my focus to AI for Science, particularly in computational chemistry and autonomous scientific discovery.

My research has accumulated over 5,000 citations to date. Some of my past works that I’m particularly proud of include SR-GNN, GCA, MARCEL, and SciBench.

Recent Updates

• [6/24/2024] Started my summer internship at Meta!
• [5/1/2024] Our work SciBench got accepted to ICML 2024. Thanks to all awesome collaborators!
• [1/16/2024] Our paper on molecular conformer ensemble learning got accepted to ICLR 2024. A big shout-out to all my incredible collaborators!
• [12/5/2023] Invited to serve as a Program Committee Member for ICML 2024.
• [11/26/2023] The Learning on Graphs (LoG) Conference 2023 will be taking place virtually for free from November 27 to 30!

Contact Information