Xiaoquan Yi

About

Ph.D. candidate in Computer Science at Huazhong University of Science and Technology, advised by Prof. Ruixuan Li, focusing on Machine Learning, Natural Language Processing, Deep Learning, and Artificial Intelligence.

Education

• 2022–2027 (Expected)
  Ph.D. in Computer Science

  Huazhong University of Science and Technology, Wuhan, China · GPA: 3.82/4.0

  Advisor: Prof. Ruixuan Li
• 2018–2022
  B.S. in Computer Science

  Wuhan University of Technology, Wuhan, China · GPA: 4.08/5.0

Research Interests

• Machine Learning
• Natural Language Processing
• Deep Learning
• Artificial Intelligence

Publications

1. Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, and Ruixuan Li. “Chat-botID: Identifying Chatbots with Granger Causality Test.” Advances in Neural Information Processing Systems (NeurIPS), 2025.
2. Xiaoquan Yi, Haozhao Wang, et al. “AWSSS: Adaptive Weighted Statistical Space Smoothing for Regression with Imbalance Data.” In Proceedings of the 2024 IEEE International Conference on High Performance Computing and Communications (HPCC), 2024.
3. Juan Zhao, Xiaoquan Yi, Ruixuan Li, et al. “FedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation.” In Proceedings of the 2024 IEEE International Conference on High Performance Computing and Communications (HPCC), 2024.
4. Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, and Xuemin Shen. “Deploying Foundation Model Powered Agent Services: A Survey.” IEEE Communications Surveys & Tutorials, 2025.

Skills

Contact

Email: yixiaoquan@hust.edu.cn · Phone: +86-156-2335-5596

GitHub: boydream123