Kaiyang Zhou

Research fellow, MMLab@NTU School of Computer Science and Engineering Nanyang Technological University, Singapore E-mail: kaiyang.zhou at ntu.edu.sg Github | Google Scholar | DBLP | Twitter

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.

I do research on computer vision and machine learning.

Research Interests

• Representation learning for visual recognition
• Transfer learning, domain adaptation, and domain generalization
• Data-efficient learning (e.g., semi-supervised learning, few-shot learning)

Latest Preprints

• Jingkang Yang, Kaiyang Zhou, Yixuan Li, and Ziwei Liu, Generalized Out-of-Distribution Detection: A Survey, arXiv, 2021.
• Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu, Learning to Prompt for Vision-Language Models, arXiv, 2021.
• Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang, MixStyle Neural Networks for Domain Generalization and Adaptation, arXiv, 2021.
• Kaiyang Zhou, Chen Change Loy, and Ziwei Liu, Semi-Supervised Domain Generalization with Stochastic StyleMatch, arXiv, 2021.
• Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy, Domain Generalization in Vision: A Survey, arXiv, 2021.

Selected Publications

• Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang, Domain Adaptive Ensemble Learning, TIP, 2021.
• Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang, Learning Generalisable Omni-Scale Representations for Person Re-Identification, TPAMI, 2021.
• Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang, Domain Generalization with MixStyle, in ICLR, 2021.
• Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang, Learning to Generate Novel Domains for Domain Generalization, in ECCV, 2020.
• Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang, Deep Domain-Adversarial Image Generation for Domain Generalisation, in AAAI, 2020.
• Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, and Tao Xiang, Omni-Scale Feature Learning for Person Re-Identification, in ICCV, 2019.
• Kaiyang Zhou, Yu Qiao, and Tao Xiang, Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward, in AAAI, 2018.