About Me
I am currently a postdoc at Nanyang Technological University, Singapore, working with Prof. Ziwei Liu and Prof. Chen Change Loy. I received my PhD in Computer Science from the University of Surrey, UK, under the supervision of Prof. Tao Xiang, in 2020. See my profile for more.
Research Interests
I am generally interested in AI, machine learning, and computer vision. My research centers around the development of generalizable and efficient machine learning algorithms for computer vision, with particular interests in the following topics: domain generalization/adaptation, transfer learning, self-supervised learning, semi-supervised learning, and few-shot learning.
Keywords: Generalizable and Efficient AI, Machine Learning, Deep Learning, Computer Vision
If you are looking for the codes, models or data associated with my papers, please visit the Publications page.
Latest Preprints
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Yuanhan Zhang, Kaiyang Zhou, and Ziwei Liu, "Neural Prompt Search,"
arXiv:2206.04673.
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Jingkang Yang, Kaiyang Zhou, and Ziwei Liu,
"Full-Spectrum Out-of-Distribution Detection,"
arXiv:2204.05306.
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Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, and Chen Change Loy,
"Open-Vocabulary DETR with Conditional Matching,"
arXiv:2203.11876.
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Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu,
"Conditional Prompt Learning for Vision-Language Models,"
arXiv:2203.05557. (CVPR'22)
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Zhongying Deng, Kaiyang Zhou, Da Li, Junjun He, Yi-Zhe Song, and Tao Xiang,
"Dynamic Instance Domain Adaptation,"
arXiv:2203.05028. (TIP'22)
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Jingkang Yang, Kaiyang Zhou, Yixuan Li, and Ziwei Liu,
"Generalized Out-of-Distribution Detection: A Survey,"
arXiv:2110.11334.
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Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu,
"Learning to Prompt for Vision-Language Models,"
arXiv:2109.01134.
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Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang,
"MixStyle Neural Networks for Domain Generalization and Adaptation,"
arXiv:2107.02053.
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Kaiyang Zhou, Chen Change Loy, and Ziwei Liu,
"Semi-Supervised Domain Generalization with Stochastic StyleMatch,"
arXiv:2106.00592.
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Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy,
"Domain Generalization: A Survey,"
arXiv:2103.02503.
Selected Publications
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Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu,
"Conditional Prompt Learning for Vision-Language Models,"
in CVPR, 2022.
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Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang,
"Domain Adaptive Ensemble Learning,"
TIP, 2021.
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Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang,
"Learning Generalisable Omni-Scale Representations for Person Re-Identification,"
TPAMI, 2021.
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Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang,
"Domain Generalization with MixStyle,"
in ICLR, 2021.
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Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang,
"Learning to Generate Novel Domains for Domain Generalization,"
in ECCV, 2020.
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Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang,
"Deep Domain-Adversarial Image Generation for Domain Generalisation,"
in AAAI, 2020.
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Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang,
"Omni-Scale Feature Learning for Person Re-Identification,"
in ICCV, 2019.
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Kaiyang Zhou, Yu Qiao, and Tao Xiang,
"Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward,"
in AAAI, 2018.
