About Me
I am currently a postdoc at Nanyang Technological University, Singapore, working with Ziwei Liu and Chen Change Loy. I received my PhD in 2020 from the University of Surrey, UK, under the supervision of Tao Xiang.
Research Interests
- Visual recognition with deep learning
- Transfer learning, domain adaptation, and domain generalization
- Semi-supervised learning
Latest Preprints
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Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu,
Learning to Prompt for Vision-Language Models,
arXiv, 2021.
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Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang,
MixStyle Neural Networks for Domain Generalization and Adaptation,
arXiv, 2021.
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Kaiyang Zhou, Chen Change Loy, and Ziwei Liu,
Semi-Supervised Domain Generalization with Stochastic StyleMatch,
arXiv, 2021.
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Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy,
Domain Generalization in Vision: A Survey,
arXiv, 2021.
Selected Publications
Full List | Google Scholar
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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.
