Shengkun Zhu

2025.09

I am currently seeking job opportunities for 2026, covering various fields such as academia and industry. If you are interested in my research, please feel free to contact me.

2025.09

I finally finished my homepage establishment.

Optimization Theory

Focus on convex optimization, non-convex optimization algorithms, and their convergence analysis. Research on optimization techniques for machine learning and deep learning applications.

Large Language Model Training & Fine-tuning

Research on efficient training methods for large language models, parameter-efficient fine-tuning techniques (LoRA, Adapters), and model scaling laws.

Federated Learning

Distributed machine learning with privacy preservation, federated optimization algorithms, and communication-efficient training strategies for heterogeneous environments.

Clustering Algorithms

Advanced clustering methods, spectral clustering, deep clustering, and applications in large-scale data analysis and unsupervised representation learning.

National Scholarship

Wuhan University | 2023

DiDi Scholarship Second Prize

Wuhan University | 2024

DiDi Scholarship Third Prize

Wuhan University | 2025

Huawei Scholarship

Wuhan University | 2025

Journal Reviewer

JMLR, IEEE TKDE, ACM TKDD