SMILE Lab
Statistics & Machine Learning
We develop novel and explainable machine learning mechanisms to enhance real-world AI applications, interpret complex data, and support scientific discovery while ensuring data privacy and security.
Asst Prof. MA Jiawei Phoenix
Bio: Phoenix Jiawei MA is a tenure-track Assistant Professor City University of Hong Kong. He obtained his Ph.D. degree at Columbia University in the City of New York, working with Prof. Shih-Fu Chang. He gained internship at FAIR Labs @ Meta AI, Google Research, Amazon Alexa AI (currently AGI Team), and Nokia Bell Labs. His primary research directions are Computer Vision, Multi-Modal, and Statistical Machine Learning.
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Selected Publications
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification
Zequn Zeng, Yudi Su, Jianqiao Sun, Tiansheng Wen, Hao Zhang, Zhengjue Wang, Bo Chen, Hongwei Liu, Jiawei Ma
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Rapidly Adaptable Automated Interpretation of Point-of-Care COVID-19 Diagnostics
Siddarth Arumugam, Jiawei Ma, Uzay Macar, Guangxing Han, Kathrine McAulay, Darrell Ingram, Alex Ying, Harshit Harpaldas Chellani, Terry Chern, Kenta Reilly, David A. M. Colburn, Robert Stanciu, Craig Duffy, Ashley Williams, Thomas Grys, Shih-Fu Chang & Samuel K. Sia
Communications Medicine 2023 (Nature Portfolio), 2023