Yichen Li (李亦晨)

Yichen Li (李亦晨)

Ph.D. Candidate (2023.09 - 2028.06)

Hi, my name is Yichen Li (Chinese: 李亦晨), a Ph.D. Candidate (2nd year student, 2023.09-2028.06) in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), advised by Prof. Ruixuan Li and Dr. Haozhao Wang. Previously, I received my bachelor’s degree from the School of Computer Science and Technology at Soochow University in 2023, under the supervision of Prof. Xiaofang Zhang. I also work closely with Prof. Rui Zhang from HUST, and Prof. Wenchao Xu from HKUST. Recently, I am fortunate to work with Prof. Song Guo from HKUST, and Prof. Shui Yu from UTS.

❤️‍🔥🔜: I am seeking opportunities to serve as a Research Assistant, with aspirations for a future role as a Postdoc (2-3 years later) ! ! !

📖 Research

I am passionate about distributed learning among mobile devices. My current research interests focus on five key areas:

  • ⭐ Federated Continual / Incremental / Life-Long Learning
  • Federated Learning (e.g., Knowledge Distillation, Model Aggregation…)
  • (Federated) Recommendation System (e.g., Sequential RecSys, Cold-Start Problem)
  • (Federated) Software Engineering (e.g., Defect Prediction, Code Smell Detection)
  • Edge-Cloud Collaboration (e.g., Multi-Agent Sys, RAG)

PS: If you are interested in collaborating with me or want to have a chat, always feel free to contact me through e-mail, QQ: 243840749, or Wechat: ycli_hust

🔥 News

  • 2025.05: 🎉🎉 One paper was accepted by ICML’25 (Spotlight, Score: 4.5/5)!
  • 2025.05: 🎉🎉 One paper was accepted by IEEE COMST (IF=35.6, Top 1 in IEEE)!
  • 2025.04: 🎉🎉 One project was granted by the Fundamental Research Funds for the Central Universities!
  • 2025.04: 🎉🎉 One paper was accepted by ICMR’25.
  • 2025.03: 🎉🎉 One paper was accepted by IEEE TPAMI.
  • 2025.01: 🎉🎉 One paper was accepted by WWW’25.
  • 2025.01: 🎉🎉 I became a Ph.D. Candidate!
  • 2024.12: 🎉🎉 One paper was accepted by JSEP (Corresponding Author).
  • 2024.07: 🎉🎉 One paper was accepted by IEEE TPDS.
  • 2024.07: 🎉🎉 One paper was accepted by ECCV’24.
  • 2024.03: 🎉🎉 One paper was accepted by CVPR’24.
  • 2024.01: 🎉🎉 One paper was accepted by ICLR’24 (Co-author).
  • 2023.09: 🎉🎉 Join the HUST as a Ph.D. Student!
  • 2023.03: 🎉🎉 One paper was accepted by CVPR’23.

📝 Publications

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li.
IEEE Communications Surveys & Tutoriols (COMST), 2025, Q1 (Rk=1/155 IEEE, IF=35.6)




Re-Fed+: A Better Replay Strategy for Federated Incremental Learning
Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025, CCF-A



Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li
The Thirteenth International Conference on Learning Representations (ICML'25), 2025, CCF-A (Spotlight, Score=4.5)


Towards Efficient Replay in Federated Incremental Learning
Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
The Thirty-Fifth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), 2024, CCF-A


Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion
Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li
The 34th ACM Web Conference (WWW'25), 2025, CCF-A




Conference Publications

  1. Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li. Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence. The Thirteenth International Conference on Learning Representations (ICML’25), Spotlight (CCF-A)
  2. Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li. Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. The 34th ACM Web Conference (WWW’25), Australia, 2025 (CCF-A)
  3. Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo. Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. The Eighteenth European Conference on Computer Vision (ECCV’24), Italy, 2024 (CAAI-A)
  4. Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang. Towards Efficient Replay in Federated Incremental Learning. The Thirty-Fifth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’24), USA, 2024 (CCF-A)
  5. Haozhao Wang, Haoran Xu, Yichen Li, Ruixuan Li, Tianwei Zhang. FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. Twelfth International Conference on Learning Representations (ICLR’24), Austria, 2024 (Co-author) (CAAI-A)
  6. Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng. DaFKD: Domain-aware Federated Knowledge Distillation. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’23), Canada, 2023 (CCF-A)
  7. Tianzhe Xiao, Yichen Li, Yu Zhou, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li. FedRE: Robust and Effective Federated Learning with Privacy Preference. The ACM International Conference on Multimedia Retrieval (ICMR’25), USA, 2025 (Co-author) (CCF-B)
  8. Juan Zhao, Xiaoquan Yi, Ruixuan Li, Yuhua Li, Haozhao Wang, Yichen Li, Zhiying Deng, Zijun Xu. FedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation. IEEE International Conference on High Performance Computing and Communications (HPCC’24), China, 2024 (CCF-C)
  9. Hao Zhu, Yichen Li, Jie Li, Xiaofang Zhang. An Efficient Design Smell Detection Approach with Inter-class Relation. The 35th International Conference on Software Engineering and Knowledge Engineering (SEKE’23), USA, 2023 (CCF-C)
  10. Yichen Li, Xiaofang Zhang. Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning. The 34th International Conference on Software Engineering and Knowledge Engineering (SEKE’22), USA, 2022 (CCF-C)

Journal Publications

  1. Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li. Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. IEEE Communications Surveys & Tutoriols (COMST) (Top 1, IF=35)
  2. Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li. Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (CCF-A)
  3. Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo. SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024 (CCF-A)
  4. Yuying Wang, Yichen Li, Haozhao Wang, Lei Zhao, Xiaofang Zhang. Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction. Journal of Software: Evolution and Process (JSEP), 2024 (Corresponding Author) (CCF-B)
  5. Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li. Hypernetwork-Driven Centralized Contrastive Learning for Federated Graph Classification. World Wide Web Journal (WWWJ), 2024 (CCF-B)
  6. Yichen Li, An Liu, Lei Zhao, Xiaofang Zhang. Hybrid model with multi-level code representation for multi-label code smell detection. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 2022 (CCF-C)

🙂 Preprint

  1. Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li. Resource-Constrained Federated Continual Learning: What Does Matter?. Submitted to The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS’25) (CCF-A)
  2. Yichen Li, Wenchao Xu, Yuying Wang, Yining Qi, Haozhao Wang, Bo Liu, Jingcai Guo, Ruixuan Li. Personalized Federated Incremental Learning with Chunked Hypernetworks. Submitted to IEEE Transactions on Mobile Computing (TMC) (CCF-A)
  3. Yichen Li, Xiuying Wang, Wenchao Xu, Haozhao Wang, Yining Qi, Jiahua Dong, Ruixuan Li. Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning. Submitted to The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS’25) (CCF-A)
  4. Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li. A Systematic Survey on Federated Sequential Recommendation. Arxiv
  5. Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Cheng Wang, Wei Wang, Yi Wang, Ruixuan Li. Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem. Submitted to The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS’25) (CCF-A)
  6. Tianzhe Xiao, Yichen Li, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li. Enhancing Privacy in Multimodal Federated Learning with Information Theory. Submitted to The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS’25) (CCF-A)
  7. Tianzhe Xiao, Yichen Li, Yining Qi, Haozhao Wang, Ruixuan Li. FedGIG: Graph Inversion from Gradient in Federated Learning. Arxiv
  8. Jiahua Dong, Wenqi Liang, Yang Cong, Yichen Li, Hongyuan Yu, Henghui Ding, Yulun Zhang, Salman Khan and Fahad Shahbaz Khan. Task Relevance-Driven Prompt Expansion for Federated Continual Learning. Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (CCF-A)
  9. Lingxiao Kong, Wenchao Xu, Chenran Zhang, Lei Wu, Haozhao Wang, Yichen Li, Ruixuan Li. SplitFed: Feature-Based Defense against Byzantine Attacks in Split Learning. Submitted to European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD’25) (CCF-B)

🏆 Honor & Award

  • 2025.04 Granted by the Fundamental Research Funds for the Central Universities (研究生创新基金项目), Only ONE student in the School of Computer Sci. & Tech., HUST
  • 2025.01 Best Paper Award (最佳论文奖), IDC Lab, HUST
  • 2025.01 Excellent Paper Award of the 3rdAnnual Academic Conference (第三届学术年会优秀论文奖), School of Computer Sci. & Tech., HUST
  • 2024.12 Guotai Junan Scholarship (国泰君安奖学金), 2 Ph.D. students in the School of Computer Sci. & Tech., HUST
  • 2024.10 Doctoral First-Class Academic Scholarship, (博士一等学业奖学金), HUST
  • 2024.10 Science and Technology Innovation Award，(科技创新奖), HUST
  • 2024.10 Merit Student (三好学生), HUST
  • 2024.04 Sangfor Award (深信服奖学金), School of Computer Sci. & Tech., HUST
  • 2024.01 Best Paper Award of the 2ndAnnual Academic Conference (第二届学术年会最佳论文奖), School of Computer Sci. & Tech., HUST
  • 2024.01 Best Newcomer Award (最佳新人奖), IDC Lab, HUST

💬 Academic Service

Conference Committee Member

  • Reviewer for ICML’25, ICLR’25, NeurIPS’24/25, AISTATS’25
  • Reviewer for CVPR’25, ICCV’25, ECCV’24
  • Reviewer for IJCAI’25, WWW’25, KDD’25, ICME’24/25, IJCNN’25

Journal Reviewer

  • Reviewer for IEEE Transactions on Parallel and Distributed Systems (TPDS)
  • Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Reviewer for ACM Computing Surveys (CSUR)
  • Reviewer for ACM Transactions on Information Systems (TOIS)