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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Call for Papers!
Are you working on foundation models for scientific problems?
Consider submitting your paper to the 1st Workshop on Foundation Models for Science (FM4Science) at NeurIPS 2024 in Vancouver!
Abstract Deadline: Sep. 10, 2024 AOE
Paper Submission Deadline: Sep. 13, 2024
OpenReview: https:openreview.netgroup?id=NeurIPS.cc2024WorkshopFM4Science
Research Overview
At the core, we develop principled deep learning methods (1, 2, 3, 4), inspired by deep learning theory; and we address scientific problems, including scientific machine learning (5) and bioinformatics (6).
We are also interested in a broad range of topics, including: LLM (7, 8, 9), computer vision (10, 11), model efficiency (12, 13), self-supervised learning (14, 15), automated machine learning (AutoML) (16), 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
[11/2024] 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]
Invited talk at AI4Science Seminar Series, Amazon AWS
The DeLTA group welcomes 3 new members: Yuqiu Liu, Jialin Song, Mauricio Soroco
[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