About
Dr. Kaiyang Zhou is currently an Assistant Professor at the Department of Computer Science, Hong Kong Baptist University (HKBU). Before joining HKBU, he was a postdoc at Nanyang Technological University, Singapore. He received his PhD in computer science from the University of Surrey, UK. His research interests include machine learning and computer vision. Visit his homepage at
https://www.comp.hkbu.edu.hk/~kyzhou to know more.
Research Interests
- Machine Learning
- Computer Vision
- Artificial Intelligence
Selected Publications
Google scholar profile:
https://scholar.google.com/citations?user=gRIejugAAAAJ.
- K. Zhou, C. C. Loy, and Z. Liu. Semi-Supervised Domain Generalization with Stochastic StyleMatch. International Journal of Computer Vision (IJCV), 2023.
- K. Zhou, Z. Liu, Y. Qiao, T. Xiang, and C. C. Loy. Domain Generalization: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
- K. Zhou, J. Yang, C. C. Loy, and Z. Liu . Conditional Prompt Learning for Vision-Language Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
- K. Zhou, J. Yang, C. C. Loy, and Z. Liu . Learning to Prompt for Vision-Language Models. International Journal of Computer Vision (IJCV), 2022.
- K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang. Learning Generalisable Omni-Scale Representations for Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
- K. Zhou, Y. Yang, Y. Qiao, and T. Xiang. Domain Generalization with MixStyle. International Conference on Learning Representations (ICLR), 2021.
- K. Zhou, Y. Yang, T. Hospedales, and T. Xiang. Learning to Generate Novel Domains for Domain Generalization. European Conference on Computer Vision (ECCV), 2020.
- K. Zhou, Y. Yang, T. Hospedales, and T. Xiang. Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI Conference on Artificial Intelligence (AAAI), 2020.
- K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang. Omni-Scale Feature Learning for Person Re-Identification. International Conference on Computer Vision (ICCV), 2019.
- K. Zhou, Y. Qiao, and T. Xiang. Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward. AAAI Conference on Artificial Intelligence (AAAI), 2018.
