Minghui Chen

Researcher

Nanyang Technological University

Biography

Minghui (pronounced: Ming-hway) Chen is a research associate at the Nanyang Technological University (advisors: Dr. Xiaoxiao Li, Dr. Yu Han). His research interests are Reliable AI, Deep phenomena.

Interests

LLM Agent
Reliable AI
AI for Healthcare

Education

MSc in Computer Science
Southern University of Science and Technology
BSc in Software Engineering
Sun Yat-sen University

Publications

Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li (2025). Can Textual Gradient Work in Federated Learning?. In ICLR 2025.

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Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis (2025). Revisiting Delta-Parameter Pruning For Fine-Tuned Models. In ICLR 2025 (Spotlight).

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Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li (2024). Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. In NeurIPS 2024.

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Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li (2024). Debiased Noise Editing on Foundation Models for Fair Medical Image Classification. In MICCAI 2024.

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Ruinan Jin, Minghui Chen, Qiong Zhang, Xiaoxiao Li (2024). Forgettable Federated Linear Learning with Certified Data Removal. In WWW 2024 FL@FM Workshop (Best Paper Award).

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Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li (2023). FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. In MICCAI 2023.

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Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao (2022). VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. In AAAI 2022.

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Minghui Chen, Zhiqiang Wang, Feng Zheng (2021). Benchmarks for Corruption Invariant Person Re-Identification. In NeurIPS 2021.

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