Yichen Li

Orcid: 0009-0009-8630-2504

Affiliations:
  • Huazhong University of Science and Technology, School of Computer Science and Technology, China
  • Soochow University, School of Computer Science and Technology, China (former)


According to our database1, Yichen Li authored at least 30 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DoAtlas-1: A Causal Compilation Paradigm for Clinical AI.
CoRR, February, 2026

Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions.
CoRR, February, 2026

FedEGL: Edge-assisted federated graph learning.
Inf. Fusion, 2026

FedCHG: Graph autoencoder enhanced federated learning for cross-Domain heterogeneous graph.
Expert Syst. Appl., 2026

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey.
IEEE Commun. Surv. Tutorials, 2026

Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation.
Proceedings of the ACM Web Conference 2026, 2026

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Data-Centric Sequential Recommendation with Relation-Augmented Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection.
CoRR, November, 2025

Towards Robust Visual Continual Learning with Multi-Prototype Supervision.
CoRR, September, 2025

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data.
CoRR, August, 2025

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

A Systematic Survey on Federated Sequential Recommendation.
CoRR, April, 2025

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction.
J. Softw. Evol. Process., January, 2025

Resource-Constrained Federated Continual Learning: What Does Matter?
CoRR, January, 2025

Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion.
Proceedings of the ACM on Web Conference 2025, 2025

FedRE: Robust and Effective Federated Learning with Privacy Preference.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning.
IEEE Trans. Parallel Distributed Syst., November, 2024

Hypernetwork-driven centralized contrastive learning for federated graph classification.
World Wide Web (WWW), September, 2024

FedGIG: Graph Inversion from Gradient in Federated Learning.
CoRR, 2024

Rehearsal-Free Continual Federated Learning with Synergistic Regularization.
CoRR, 2024

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Efficient Replay in Federated Incremental Learning.
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).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

DaFKD: Domain-aware Federated Knowledge Distillation.
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).
Int. J. Softw. Eng. Knowl. Eng., 2022

Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022


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