Hi, I’m Minghui Chen. Nice to meet you.
I’m a researcher passionate about building trustworthy AI systems. 🚀
About Me
Minghui (pronounced: Ming-hway) Chen is a Predoctoral Staff Associate in the Decision, Risk, and Operations division at Columbia Business School, fortunately advised by Prof. Hongseok Namkoong. Exploring reinforcement learning with LLM agents.
His research interests focus on Reliable AI and Deep Learning Phenomena. He is particularly interested in developing trustworthy AI systems, exploring LLM agents, and applying reinforcement learning to real-world applications.
He received his M.Sc. in Computer Science from Southern University of Science and Technology, China, and B.Sc. in Software Engineering from Sun Yat-sen University, China.
Publications
Can Textual Gradient Work in Federated Learning?
We systematically explore the potential and challenges of incorporating textual gradient into Federated Learning, introducing FedTextGrad - a novel FL paradigm for optimizing LLMs.
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Research Position (4) ICLR (2) MICCAI (2)