Vision Laboratory at Yale University

Alex Wong is an Assistant Professor in the department of Computer Science and the director of the Vision Laboratory at Yale University. He also serves as the Director of AI (consulting capacity) for Horizon Surgical Systems. Prior to joining Yale, he was an Adjunct Professor at Loyola Marymount University (LMU) from 2018 to 2020. He received his Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) in 2019 and was co-advised by Stefano Soatto and Alan Yuille. He was previously a post-doctoral research scholar at UCLA under the guidance of Stefano Soatto. His research lies in the intersection of machine learning, computer vision, and robotics and largely focuses on multi-sensor fusion for 3D reconstruction, robust vision under adverse conditions, unsupervised learning, and medical image analysis. His work has received the outstanding student paper award at the Conference on Neural Information Processing Systems (NeurIPS) 2011 and the best paper award in robot vision at the International Conference on Robotics and Automation (ICRA) 2019.

Keywords: Multimodal Learning, Sensor Fusion, 3D Vision, Unsupervised Learning, Vision under Adverse Conditions, Adversarial Robustness, Medical Image Understanding


Semester Course ID Course Title
Spring 2024 CPSC 381/581 Machine Learning
Fall 2023 CPSC 480/580 Computer Vision
Spring 2024 CPSC 480/580 Computer Vision
Fall 2022 CPSC 676 Advanced Computer Vision Seminar
Fall 2020 CMSI 535 Machine Learning
Spring 2020 CMSI 371 Computer Graphics
Fall 2020 CMSI 533 Data Science and Machine Learning
Spring 2019 CMSI 371 Computer Graphics
Fall 2019 CMSI 281 Data Structures
Spring 2018 CMSI 371 Computer Graphics

Teaching is a passion of mine. I have served as a teaching assistant/fellow throughout my graduate career at UCLA and during my time as an adjunct professor at Loyola Marymount University (LMU). Note: CPSC denotes courses at Yale, and CMSI course at LMU. Here are some excerpts from recent teaching evaluations on my courses:

“Prof. Wong is one of the best professors in the CS department… emphasized and explained the intuition and purpose behind each concept… lectures can get technical and are quite thorough, he makes sure you don’t get lost…” (Computer Vision, Spring 2023).

“Dr. Wong’s lecture is awesome. Machine learning involves lots of math but he made it easy by explaining basic maths and then applies them to algorithm. I was new to ML, but he made me love the subject.” (Machine Learning, Fall 2020).

“Besides Professor Wong ‘s strong teaching abilities and well organized lectures. His understanding and care for his students really helped me succeed in his class and feel motivated.” (Computer Graphics, Spring 2020).

“I think he is a great teacher who is very knowledgeable and furthermore genuinely is invested in his students.” (Computer Graphics, Spring 2020).

Recent Talks

Date Venue Title
November 04, 2023 Northeast Robotics Colloquium (NERC) 2023 Unsupervised Learning of Depth Perception and Beyond
October 27, 2023 Theory and Practice of Foundation Models Workshop Unsupervised Learning of Depth Perception and Beyond
September 25, 2023 University of Delaware AI Symposium Unsupervised Learning of Depth Perception and Beyond
September 22, 2022 Institute for Foundations of Data Science Panelist for Advances in Artificial Intelligence

Awards and Honors

Selected Publications

Search for Alex Wong's papers on the Research page