Welcome to the DeLTA Lab
PI: Wuyang Chen, Assistant Professor (wuyang at sfu dot ca)
The School of Computing Science, Simon Fraser University
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Research Overview
1. We integrate AI methods with physical knowledge.
a) We build LLM for autoformalization, program synthesis, and reasoning on PDE control problems [1];
b) We develop neural operators [2] for 3D reconstruction of real-world fluids [3].
2. We develop principled deep learning methods [4, 5, 6, 7] inspired by deep learning theory.
3. We are broadly interested in LLM [8, 9, 10], computer vision [11, 12], model efficiency [13, 14], self-supervised learning [15, 16], automated machine learning (AutoML) [17], etc.
We actively look for self-motivated and proactive students to join us. You are welcome to email the PI (Wuyang Chen) with your resume and a short description of your research plans/interests.
For Ph.D. applicants, please apply to the CS @ SFU and mention the PI's name (Wuyang Chen) in your application.
News
[3/2025]
[2/2025]
PDE-Controller is on arXiv now! This is the first AI-for-math work that enables LLM-based scientific reasoning. More data/code/model releases are coming soon!
Talks at Georgia Tech, NYU
[1/2025] 1 paper accepted in ICLR’2025
[12/2025]
Dr. Chen is selcted by the AAAI-2025 New Faculty Highlights program.
Our “Foundation Models for Science” workshop @ NeurIPS 2024 was a success! See video recordings and accepted papers.
[11/2024]
Dr. Chen will serve as an area chair at ICML 2025.
Invited talk at 2024 Canadian Mathematical Society (CMS) Winter Meeting
Invited talk at SFU Mathematics of Computation, Application and Data (“MOCAD”) Seminar
[10/2024] Invited talk at Challenges & opportunities in Foundation Models: accelerating scientific discovery, explainability, efficiency and security, University of Geneva
[9/2024] 1 paper accepted in NeurIPS’2024
[7/2024] Our NeurIPS 2024 workshop proposal, “Foundation Models for Science: Progress, Opportunities, and Challenges,” is accepted. Please consider submitting your great work to our workshop (OpenReview)!
[6/2024]
Dr. Chen is humbled and grateful that his dissertation, “Demystifying deep network architectures: from theory to applications,” received the INNS 2024 Doctoral Dissertation Award and the iSchools Doctoral Dissertation Award 2024. See also the UT ECE news.
Invited talk at 3rd Workshop on Federated Learning for Computer Vision in CVPR 2024.
Invited panel session at Learning Deep Low-Dimensional Models from High-Dimensional Data: From Theory to Practice in CVPR 2024.
[5/2024] Dr. Chen is grateful to receive the Google GCP Credit Award (Gemma Academic Program)
[4/2024]
The DeLTA group welcomes 3 new members: Yuqiu Liu, Jialin Song, Mauricio Soroco
Invited talk at AI4Science Seminar Series, Amazon AWS
[3/2024]
Dr. Chen is grateful to receive the NSERC Discovery Grant
1 paper accepted in ICLR workshop AI4DiffEqtnsInSci
[2/2024] 1 paper accepted in CVPR’2024
[1/2024] 2 papers accepted in ICLR’2024