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Weiheng Tang I am a first-year Ph.D. student in the School of Electrical and Computer Engineering at Purdue University, advised by Prof. Stanley H. Chan. Prior to joining Purdue, I received my Bachelor's degree in Physics and Economics from Peking University in 2025, where I was advised by Prof. He Sun. In 2023, I was a visiting student at Duke University, working with Prof. Roarke Horstmeyer. My research interests broadly include computational imaging, computer vision and machine learning for solving inverse problems. |
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Research
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Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method
Weimin Bai, Weiheng Tang, Enze Ye, Siyi Chen, Wenzheng Chen, He Sun arXiv, 2024 We proposed a principled EM framework for learning clean diffusion models from noisy measurements with arbitrary corruption types, enhancing the E-step of EMDiffusion by upgrading the DPS algorithm to a plug-and-play Monte Carlo (PMC) method. |
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Recording dynamic facial micro-expressions with a multi-focus camera array
Lucas Kreiss, Weiheng Tang, Ramana Balla, Xi Yang, Amey Chaware, Kanghyun Kim, Clare B. Cook, Aurelien Begue, Clay Dugo, Mark Harfouche, Kevin C. Zhou, Roarke Horstmeyer arXiv, 2024 We developed a multi-focus imaging system comprising a 54-camera array by adjusting focal plane distribution to capture dynamic facial expressions with high resolution, large field-of-view, and extended depth-of-field. |
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