Prof. Kaiyang Zhou is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University, specializing in machine learning and computer vision. He has published over 30 technical papers in leading venues, including CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, and top journals like IEEE TPAMI and IJCV. His work has garnered over 10,000 citations. He serves as an Associate Editor of IJCV, the flagship journal in computer vision, and regularly takes on roles such as Area Chair for major conferences like CVPR, ECCV, NeurIPS, and ICLR. He is also the creator of influential AI software packages, such as Torchreid (the No.1 popular person re-identification software on GitHub). Visit his homepage at https://www.comp.hkbu.edu.hk/~kyzhou to know more.

周鍇陽教授是香港浸會大學計算機科學系的助理教授，專注於機器學習和計算機視覺領域。他在頂尖會議和期刊上發表了超過30篇技術論文，包括CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、AAAI，以及頂級期刊如IEEE TPAMI和IJCV。他的研究工作已獲得超過10,000次引用。周博士現任計算機視覺領域旗艦期刊《IJCV》的副主編，並經常擔任CVPR、ECCV、NeurIPS和ICLR等主要會議的領域主席。他也是多個有影響力的人工智能軟件包的創作者，例如Torchreid（GitHub上最受歡迎的行人重識別軟件）。如需了解更多，請訪問他的個人主頁：https://www.comp.hkbu.edu.hk/~kyzhou。

• Computer Vision and Pattern Recognition
• Machine Learning and Deep Learning

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.