Sikai Bai

Sikai Bai

The Hong Kong University of Science and Technology

👋👋Hi, I’m Sikai Bai. Now, I’m pursuing my Ph.D. in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST, 香港科技大学), supervised by Prof. Song Guo in PEILab.

Before that, I received my Master degree in Artificial Intelligence, Optics, and Electronics (iOPEN), Northwestern Polytechnical University (NWPU, 西北工业大学), supervised by Qi Wang and Xuelong Li professors. Also, I received my Bachelor degree at School of Information Engineering, China University of Geosciences (Wuhan) 中国地质大学 in 2019. During this period, my research areas included computer vision, deep learning, and image/video representation learning. After graduation, I worked on federated learning research at SenseTime by collaborating with Weiming Zhuang and Shuaicheng Li. Then, I was a Research Assistant at The Hong Kong Polytechnic University and collaborated with Dr. Jie Zhang. If you are interested in me, please send e-mail to me. Thanks a lot!

Recently, my research interests include：

  • Vision Language Model
  • Federated Learning
  • Computer Vision

🎓 Education

  • 2024.01 -, The Hong Kong University of Science and Technology, HongKong, PhD
  • 2019.09 - 2022.04, Northwestern Polytechnic University, Xi’an, Master
  • 2015.09 - 2019.06, China University of Geosciences, Wuhan, Bachelor

📝 Publications

  • [CVPR'24] Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, and Xiaocheng Lu, “DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning”, in Proceedings of Computer Vision and Pattern Recognition (CVPR, CCF-A), 2024. [PDF]

  • [AAAI'24] Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, and Junyu Gao. “Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators”, in Annual AAAI Conference on Artificial Intelligence (AAAI, CCF-A), 2024. [PDF]

  • [ICME'21] Sikai Bai, Junyu Gao, Qi Wang, and Xuelong Li, “Multi-domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification”, Proc. IEEE International Conference on Multimedia and Expo (ICME, CCF-B), pp. 1-6, 2021. [PDF]

  • [ICPR'21] Sikai Bai, Qi Wang, and Xuelong Li. “Mfi: Multi-range feature interchange for video action recognition”, In 2020 25th International Conference on Pattern Recognition (ICPR, CCF-C), pp. 6664-6671, 2021. [PDF]

🏅 Honors and Awards

  • 2020.11 Second Prize of Academic Scholarship, Northwestern Polytechnic University
  • 2019.09 First Prize of Academic Scholarship, Northwestern Polytechnic University
  • 2017.10 National Encouragement Scholarship, Ministry of Education
  • 2017.08 Second runner-up of SmuroSot Middle League on Federation of International Robot-soccer Association (FIRA)
  • 2017.08 Second runner-up of National University Software Defined Network (SDN) Application Innovation and Development Competition

🛠 Skills

  • English: IELTS 6.5
  • Programming Skills: Python, C/C++, Pytorch, Tensorflow
  • Computer Basics: Computer Network, Operating System, Database (Mysql, Redis)
  • Typesetting and Graphing: TEX and friends(e.g., LATEX, Highcharts)
  • Other skills: Docker, Linux, Distributed Systems, Multi-threaded Programming, etc.

💻 Internships

  • 2023.01 - 2023.08, Research Assistant, The Hong Kong Polytechnic University, HongKong
  • 2022.05 - 2023.01, Intern, Sensetime, Shanghai