Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning. - Yichen Li 006; Xiaofang Zhang (SEKE, 2022)

Hybrid Model with Multi-Level Code Representation for Multi-Label Code Smell Detection (077). - Yichen Li 006; An Liu 002; Lei Zhao 001; Xiaofang Zhang (Int. J. Softw. Eng. Knowl. Eng., 2022)

DaFKD: Domain-aware Federated Knowledge Distillation. - Haozhao Wang; Yichen Li 006; Wenchao Xu 001; Ruixuan Li 001; Yufeng Zhan; Zhigang Zeng (CVPR, 2023)

An Efficient Design Smell Detection Approach with Inter-class Relation (S). - Hao Zhu; Yichen Li 006; Jie Li; Xiaofang Zhang (SEKE, 2023)

Towards Efficient Replay in Federated Incremental Learning. - Yichen Li 006; Qunwei Li; Haozhao Wang; Ruixuan Li 001; Wenliang Zhong; Guannan Zhang (CVPR, 2024)

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. - Yichen Li 006; Wenchao Xu 001; Haozhao Wang; Yining Qi; Jingcai Guo; Ruixuan Li 001 (ECCV (46), 2024)

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. - Haozhao Wang; Haoran Xu; Yichen Li 006; Yuan Xu; Ruixuan Li 001; Tianwei Zhang 004 (ICLR, 2024)

Rehearsal-Free Continual Federated Learning with Synergistic Regularization. - Yichen Li 006; Yuying Wang; Tianzhe Xiao; Haozhao Wang; Yining Qi; Ruixuan Li 001 (CoRR, 2024)

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. - Yichen Li 006; Haozhao Wang; Wenchao Xu 001; Tianzhe Xiao; Hong Liu; Minzhu Tu; Yuying Wang; Xin Yang; Rui Zhang 003; Shui Yu 001; Song Guo 001; Ruixuan Li 001 (CoRR, 2024)

FedGIG: Graph Inversion from Gradient in Federated Learning. - Tianzhe Xiao; Yichen Li 006; Yining Qi; Haozhao Wang; Ruixuan Li 001 (CoRR, 2024)

Hypernetwork-driven centralized contrastive learning for federated graph classification. - Jianian Zhu; Yichen Li 006; Haozhao Wang; Yining Qi; Ruixuan Li 001 (World Wide Web (WWW), 2024)

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. - Yichen Li 006; Wenchao Xu 001; Yining Qi; Haozhao Wang; Ruixuan Li 001; Song Guo 001 (IEEE Trans. Parallel Distributed Syst., 2024)

FedRE: Robust and Effective Federated Learning with Privacy Preference. - Tianzhe Xiao; Yichen Li 006; Yu Zhou; Yining Qi; Yi Liu 087; Wei Wang 395; Haozhao Wang; Yi Wang 004; Ruixuan Li 001 (ICMR, 2025)

Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion. - Yichen Li 006; Yijing Shan; Yi Liu 087; Haozhao Wang; Wei Wang 395; Yi Wang 004; Ruixuan Li 001 (WWW, 2025)

Resource-Constrained Federated Continual Learning: What Does Matter? - Yichen Li 006; Yuying Wang; Jiahua Dong; Haozhao Wang; Yining Qi; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction. - Yuying Wang; Yichen Li 006; Haozhao Wang; Lei Zhao 001; Xiaofang Zhang (J. Softw. Evol. Process., 2025)

A Systematic Survey on Federated Sequential Recommendation. - Yichen Li 006; Qiyu Qin; Gaoyang Zhu; Wenchao Xu 001; Haozhao Wang; Yuhua Li 003; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning. - Yichen Li 006; Haozhao Wang; Yining Qi; Wei Liu 144; Ruixuan Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)