Shuhao Chen

About Me

I am a first-year PhD student at HKUST, advised by Prof. James Kwok and Prof. Yu Zhang. Before that, I received my Master's degree from SUSTech (advised by Prof. Yu Zhang) and my Bachelor's degree from SCUT.

My research focuses on machine learning, with a current interest in large language models (e.g., LLM routing / assembling) and trustworthy AI.

News

May 2026 Two papers (SPARD, MetaMoE) accepted at ICML 2026.
Sep 2025 Started my Ph.D. at HKUST.
Aug 2025 One paper (SPE Attention) accepted at EMNLP 2025.
May 2025 Two co-authored papers accepted at ICML 2025.
Jan 2025 One paper (DGCDM) accepted by Neural Networks.
Sep 2024 One paper (RouterDC) accepted at NeurIPS 2024.
May 2024 One paper (Label Encoding Perspective) accepted at ICML 2024.

Selected Publications

The full publication list is available on Google Scholar. * indicates equal contribution.

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification

Weisen Jiang, Shuhao Chen, Sinno Jialin Pan

ICML 2026 CCF-A

arxiv /scholar

SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance–Diversity Data Selection

Shuhao Chen, Weisen Jiang, Yeqi Gong, Shengda Luo, Chengxiang Zhuo, Zang Li, James T. Kwok, Yu Zhang

ICML 2026 CCF-A

scholar

SPE Attention: Making Attention Equivariant to Semantic-Preserving Permutation for Code Processing

Chengyu Jiao, Shuhao Chen, Yu Zhang

EMNLP 2025 CCF-B

scholar

Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation

Yulong Zhang*, Shuhao Chen*, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok

Neural Networks, 2025 JCR Q1

* Equal contribution.

arxiv /scholar

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang

NeurIPS 2024 CCF-A

arxiv /scholar

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective

Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu

ICML 2024 CCF-A

arxiv /scholar

Education

2025 – Present Ph.D. in Computer Science
The Hong Kong University of Science and Technology — Advised by Prof. James Kwok and Prof. Yu Zhang.
2022 – 2025 M.Sc. in Computer Science and Technology
Southern University of Science and Technology — Advised by Prof. Yu Zhang.
2018 – 2022 B.Eng. in Computer Science
South China University of Technology

Internships

Summer 2024 Applied Research Intern
Tencent
Summer 2021 Software Engineer Intern
ByteDance

Awards

Postgraduate Studentship (PGS), HKUST.
School Scholarship, South China University of Technology.

Academic Service

Conference Reviewer: ICLR 2025, 2026; NeurIPS 2024, 2025; ICML 2025, 2026.
Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Knowledge and Data Engineering.