🖋 About Me
I am a second-year Computer Science PhD Student at University of California, Berkeley, Berkeley AI Research Lab (BAIR), advised by Aditi Krishnapriyan. I am also a visiting researcher at Meta Fundamental AI Research (FAIR), FAIR Chemistry Group, advised by Brandon Wood and Zachary Ulissi. I received my B.Sc. with distinction in Data Science from Duke Kunshan University and Duke University, where I was mentored by Dongmian Zou and Kai Zhang. I also worked as a research intern at Microsoft Research Asia, Shanghai AI/ML Group led by Dongsheng Li.
My research interest mainly falls on Geometric Deep Learning and AI for Science. Recently, I have been particularly interested in exploring how to scale up machine learning models to tackle complex challenges in scientific domains. More broadly, I am interested in combining ideas from mathematics with machine learning, and using machine learning to solve interdisciplinary problems.
🔥 News
- [Sep 2024] Our new EScAIP model is accepted by NeurIPS 2024! 🎉 Stay tuned for more details.
- [Sep 2024] Joined as a visiting researcher at Meta FAIR!
- [Jan 2024] Our work "CNN Kernels Can Be the Best Shapelets" is accepted by ICLR 2024! 🎉
- [Aug 2023] Starting my PhD at UC Berkeley!
- [May 2023] Graduated from Duke Kunshan University with distinction! 🎓
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📝 Publications
The Importance of Being Scalable: Efficient Architectures for Neural Network Potentials
NeurIPS 2024 Poster
💬 Talks
Stable Hyperbolic Neural Networks for Graph Generation and Classification - Tokyo, Japan, ICIAM 2023 Mathematics of Geometric Deep Learning Minisymposium
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer - Kigali, Rwanda, ICLR 2023 Spotlight Presentation, Oral 6 Track 5: Applications & Deep Learning
🏆 Awards and Honors
- [2024.5] NERSC GenAI for Science CFP Award (2500 GPU hrs) - U.S. Department of Energy
- [2023.10] Open Catalyst Challenge 3rd Place - NeurIPS 2023 Competitions
- [2023.5] Graduation with Distinction (Top 5%) - Duke Kunshan University
- [2023.5] Graduation with Latin Honors cum laude - Duke Kunshan University
- [2023.5] Zu Chongzhi Math Signature Work Award - Duke Kunshan Zu Chongzhi Math Center
- [2023.5] Conference Travel Grant (ICLR 2023) - Duke Kunshan University
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📖 Educations
2023.8 - present PhD Student in Computer Science, University of California, Berkeley
2019.8 - 2023.5 Dual Degree Undergraduate in Data Science, Duke Kunshan University / Duke University
🏢 Work Experiences
2024.9 - Present Meta Research, Fundamental AI Research
2022.5 - 2022.9 Microsoft Research, Shanghai AI/ML Group
2023.1 - 2023.6 Microsoft Research, Shanghai AI/ML Group
🏫 Services
Reviewer/PC Member: NeurIPS {2023, 2024}, ICLR {2024, 2025}, ICML 2024, AAAI 2025, ACML 2024
Journal Reviewer: TNNLS