SMILE Lab
Statistics & MachIne LEarning
We develop novel and explainable machine learning mechanisms to enhance physical-world AI applications, interpret complex data, and support scientific discovery while ensuring security and reliability.
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 Continual Learning and Multi-Modal Representation Learning.
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Selected Publications
Multimodal Diagnosing and Correcting Bias in MLLM for Long Video Understanding
Xusheng Liang, Jianqiao Sun, Hao Zhang, Yulei Niu, Hengshuang Zhao, Jiawei Ma
Annual Conference on Neural Information Processing Systems (NeurIPS), 2026
Mitigating Error Accu-mulation in Continuous Navigation via Memory-Augmented Kalman Filtering
Yin Tang, Jiawei Ma, Jinrui Zhang, Jinpeng Wang, Deyu Zhang
International Conference of Machine Learning (ICML), 2026
Multimodal Causality-Driven Representation Learning for Generalizable Medical Image Segmentation
Xusheng Liang*, Lihua Zhou, Nianxin Li, Miao Xu, Ziyang Song, Dong Yi, Jinlin Wu, Jiawei Ma, Hongbin Liu, Zhen Lei, Jiebo Luo.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting
Guangxing Han, Long Chen, Jiawei Ma, Shiyuan Huang, Rama Chellappa, and Shih-Fu Chang
International Journal of Computer Vision (IJCV), 2026
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