About Me

I am an Assistant Professor at AI Thrust, Information Hub of Hong Kong University of Science and Technology (Guangzhou). I am also an Affiliated Assistant Professor of the department of Computer Science & Engineering (Clear Water Bay Campus). I am a faculty member of the Deep Vision Lab. Previously, I was a Postdoctoral Associate at Computer Science & Artificial Intelligence Lab of Massachusetts Institute of Technology, where I had the privilege of working with Prof. Dina Katabi. I earned my Ph.D. degree from the Chinese University of Hong Kong, under the mentorship of Prof. Jiaya Jia. I am honored as Distinguished Young Scholars (Overseas).

Interests
  • Computer Vision
  • Generative Models
  • AI+X
📚 My Research
My research focuses on visual generative models, exploring their fundamental principles with the aim of improving their quality, efficiency, diversity, and controllability. Beyond foundational research, I am dedicated to applying these models to solve real-world challenges in sectors such as autonomous driving, smart manufacturing, and content creation. My overarching goal is to advance the field of generative models by tackling sophisticated real-world challenges, thereby pushing the boundaries of academic research in different disciplines.
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Recent Publications
Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, Fugee Tsung. An Incremental Unified Framework for Small Defect Inspection. Proceedings of the European conference on computer vision (ECCV), 2024.
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Haodong Li, Hao Lu, Ying-Cong Chen. Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement. Proceedings of the European conference on computer vision (ECCV), 2024.
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Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Ying-Cong Chen. Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics. Proceedings of the European conference on computer vision (ECCV), 2024.
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Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen. MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. Proceedings of the European conference on computer vision (ECCV), 2024.
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Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-Cong Chen. Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models. Proceedings of the European conference on computer vision (ECCV), 2024.
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