Chikai Shang

Orcid: 0009-0008-2914-9147

According to our database1, Chikai Shang authored at least 11 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning.
CoRR, May, 2026

CoAction: Cross-task Correlation-aware Pareto Set Learning.
CoRR, May, 2026

Decision Boundary-aware Generation for Long-tailed Learning.
CoRR, May, 2026

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning.
CoRR, May, 2026

ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over Resource-Constrained Edge Networks.
CoRR, January, 2026

2025
Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning.
CoRR, March, 2025

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
A New Paradigm for Enhancing Ensemble Learning Through Parameter Diversification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
An Evolutionary Multiobjective Optimization Algorithm Based on Manifold Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Evolutionary Multi-model Federated Learning on Malicious and Heterogeneous Data.
Proceedings of the IEEE International Conference on Data Mining, 2023


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