Alex Wong

Alex Wong is an Assistant Professor in the Department of Computer Science at Yale University. His research interests include areas within computer science, though specific details are not provided. Wong's academic profile can be accessed through the department's website, which offers additional information about his work and contributions. His role at Yale University reflects his commitment to advancing knowledge and education in the field of computer science.

Alex Wong is a researcher at Yale University specializing in computer vision, machine learning, 3D vision, unsupervised learning, and adversarial robustness. His work focuses on advancing depth estimation, unsupervised depth completion, and improving the robustness of vision systems against adversarial attacks. Wong has published extensively on topics such as monocular depth prediction, visual inertial odometry, and multimodal tactile representations. His research also explores the integration of clinical domain knowledge into machine learning models and the development of novel frameworks for depth completion and image denoising. His contributions span both theoretical and applied aspects of computer vision and machine learning.