Yichen Li

According to our database, Yichen Li authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning.

Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

A Systematic Survey on Federated Sequential Recommendation.

Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li

CoRR, April, 2025

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction.

Yuying Wang, Yichen Li, Haozhao Wang, Lei Zhao, Xiaofang Zhang

J. Softw. Evol. Process., January, 2025

Resource-Constrained Federated Continual Learning: What Does Matter?

Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li

CoRR, January, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

FedRE: Robust and Effective Federated Learning with Privacy Preference.

Tianzhe Xiao, Yichen Li, Yu Zhou, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2024

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning.

Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo

IEEE Trans. Parallel Distributed Syst., November, 2024

Hypernetwork-driven centralized contrastive learning for federated graph classification.

Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li

World Wide Web (WWW), September, 2024

FedGIG: Graph Inversion from Gradient in Federated Learning.

Tianzhe Xiao, Yichen Li, Yining Qi, Haozhao Wang, Ruixuan Li

CoRR, 2024

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

CoRR, 2024

Rehearsal-Free Continual Federated Learning with Synergistic Regularization.

Yichen Li, Yuying Wang, Tianzhe Xiao, Haozhao Wang, Yining Qi, Ruixuan Li

CoRR, 2024

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation.

Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching.

Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Efficient Replay in Federated Incremental Learning.

Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

An Efficient Design Smell Detection Approach with Inter-class Relation (S).

Hao Zhu, Yichen Li, Jie Li, Xiaofang Zhang

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

DaFKD: Domain-aware Federated Knowledge Distillation.

Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Hybrid Model with Multi-Level Code Representation for Multi-Label Code Smell Detection (077).

Yichen Li, An Liu, Lei Zhao, Xiaofang Zhang

Int. J. Softw. Eng. Knowl. Eng., 2022

Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning.

Yichen Li, Xiaofang Zhang

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022