Welcome to the DeLTA Lab

“DeLTA”: Designing Deep Learning in Principle: From Theory to Applications
PI: Wuyang Chen, Assistant Professor (wuyang at sfu dot ca)
The School of Computing Science, Simon Fraser University
SFU 

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), computer vision (9, 10), model efficiency (11, 12), self-supervised learning (13, 14), automated machine learning (AutoML) (15), 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.

The application for Fall 2024 entry is closed. We have openings for Spring 2025 and Fall 2025 entry.

For Ph.D. applicants, please apply to the CS @ SFU and mention the PI's name (Wuyang Chen) in your application.

News

[6/2024]

[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]

[2/2024] 1 paper accepted in CVPR’2024

[1/2024] 2 papers accepted in ICLR’2024