Description: Kai Chen's Homepage
I am currently a Ph.D. candidate in CSE department of Hong Kong University of Science and Technology (HKUST), supervised by Prof. Dit-Yan Yeung . Previously, I was an undergraduate student majoring in Computer Science in Fudan University honored as Outstanding Undergraduate of Shanghai (上海市优秀毕业生), supervised by Prof. Yanwei Fu . My research interests include Machine Learning and Artificial Intelligence, especially in representation learning, vision perception and generative modeling (AIGC).
Some recent works include: AIGC Harmfulness: Mistake analysis . AIGC Helpfulness - Mixture of Cluster-conditional Experts (MoCE): MoCLE , MoCE . AIGC Helpfulness - Controllable Perception Data Generation: GeoDiffusion , MagicDrive , TrackDiffusion , Geom-Erasing . AIGC Helpfulness - Efficient Self-supervised Learning: MixedAE , SDR , MultiSiam .
Full publication list on Google Scholar . (* denotes equal contribution)