Kaiwen Zha

About Me

I am a Ph.D. student at MIT CSAIL, advised by Prof. Dina Katabi. My current research focuses on building large generative models for health and medicine, and developing robust and generalizable machine learning algorithms across distribution shifts.

Prior to joining MIT, I received my B.S. in Computer Science from Shanghai Jiao Tong University in 2020, advised by Prof. Cewu Lu. In 2019, I was fortunate to work as a visiting student with Prof. Aude Oliva and Prof. Bolei Zhou at Computational Perception & Cognition Lab at MIT CSAIL.

Publications

Rank-N-Contrast: Learning Continuous Representations for Regression Kaiwen Zha*, Peng Cao*, Jeany Son, Yuzhe Yang, Dina Katabi Advances in Neural Information Processing Systems (NeurIPS), 2023 (Spotlight) [Paper] [Code]

Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He*, Kaiwen Zha*, Dina Katabi International Conference on Learning Representations (ICLR), 2023 (Spotlight) [Paper] [Code] [Website]

CornerRadar: RF-Based Indoor Localization Around Corners Shichao Yue*, Hao He*, Peng Cao*, Kaiwen Zha, Masayuki Koizumi, Dina Katabi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022 [Paper]

Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu AAAI Conference on Artificial Intelligence (AAAI), 2022 [Paper]

Delving into Deep Imbalanced Regression Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi International Conference on Machine Learning (ICML), 2021 (Long Talk) [Paper] [Code] [Website]

Unsupervised Image Transformation Learning via Generative Adversarial Networks Kaiwen Zha, Yujun Shen, Bolei Zhou Preprint, 2021 [Paper] [Website]

Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu Nature Machine Intelligence, 2020 [Paper] [Code]

Further Understanding Videos through Adverbs: A New Video Task Bo Pang, Kaiwen Zha, Yifan Zhang, Cewu Lu AAAI Conference on Artificial Intelligence (AAAI), 2020 [Paper]

Deep RNN Framework for Visual Sequential Applications Bo Pang*, Kaiwen Zha*, Hanwen Cao, Chen Shi, Cewu Lu Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [Paper] [Code]

Service

Conference Reviewer: NeurIPS, ICLR, ICML, CVPR, ECCV, ML4H