Zhongyi Cai

3345 Engineering Building

428 S. Shaw Lane

East Lansing, MI 48824, U.S.A.

About Me

I am Zhongyi Cai, a Ph.D. student at Computer Science and Engineering Department (CSE) in Michigan State University (MSU), advised by Prof. Yu Kong.

Prior to my Ph.D. endeavor, I obtained my Bachelor’s degree in 2021 and Master’s degree in 2024 at ShanghaiTech University, where I was supervised by Prof. Jingya Wang and Prof. Ye Shi.

Research Interest

My research interest mainly focuses on Computer Vision (CV) issues under various learning scenarios. I am especially interested in problems involving multiple domains, agents or tasks.

Currently, I am researching Deepfake issues from learning perspective. Before that, I also worked on Few-Shot Learning (FSL) and Federated Learning (FL) issues. I am always welcome to research cooperation! So, if you are interested, feel free to contact me via email.

news

Aug 26, 2024	My exciting Ph.D. endeavor at MSU begins!
Jan 16, 2024	One paper accepted by ICLR!
Sep 22, 2023	One paper on Non-IID Federated Learning accepted by NeurIPS!
Apr 08, 2023	One paper accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)!

selected publications

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

Zhongyi Cai, Ye Shi, Wei Huang, and 1 more author

Advances in Neural Information Processing Systems, 2023

Bib PDF Code Poster Slides

@article{cai2024fed,
  title = {Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning},
  author = {Cai, Zhongyi and Shi, Ye and Huang, Wei and Wang, Jingya},
  journal = {Advances in Neural Information Processing Systems},
  volume = {36},
  year = {2023},
}

Fedtp: Federated learning by transformer personalization

Hongxia Li#, Zhongyi Cai#, Jingya Wang, and 4 more authors

IEEE transactions on neural networks and learning systems, 2023

Bib PDF Code

@article{li2023fedtp,
  title = {Fedtp: Federated learning by transformer personalization},
  author = {Li#, Hongxia and Cai#, Zhongyi and Wang, Jingya and Tang, Jiangnan and Ding, Weiping and Lin, Chin-Teng and Shi, Ye},
  journal = {IEEE transactions on neural networks and learning systems},
  year = {2023},
  publisher = {IEEE},
}