Ming Yin

I am a first-year PhD student at Duke University, supervised by Prof. Yiran Chen.

I received my Bachelor's degree from School of the Gifted Young, USTC in 2024 at 20 years old.

I am currently interested in LLM Agents, LLM Reasoning, and Trustworthy AI.

From May to August 2025, I'm serving as a GenAI Research Intern at Zoom in Seattle. Please feel free to reach out if you'd like to chat, connect or collaborate!

Email /  Google Scholar  /  LinkedIn /  CV

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Publications

(* indicates Equal Contribution)
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Shaokun Zhang*, Ming Yin*, Jieyu Zhang, Jiale Liu, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu

ICML 2025 (🏆 Spotlight, 313/12107 = 2.58%)

Media Coverage: [Synced]   [AIEra]   [QbitAI]

Poisoning Federated Recommender Systems with Fake Users

Ming Yin*, Yichang Xu*, Minghong Fang, Neil Gong

WWW 2024

LoBAM: LoRA-Based Backdoor Attack on Model Merging

Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen

ICLR 2025 Workshop

Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing

Yudong Liu, Jingwei Sun, Yueqian Lin, Jingyang Zhang, Ming Yin, Qinsi Wang, Jianyi Zhang, Hai Li, Yiran Chen

ICCV 2025

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks

Yichang Xu*, Ming Yin*, Minghong Fang, Neil Gong

WWW 2024


Industrial Experience

Zoom, GenAI Research Intern

🌊 Seattle, WA

May 2025 - Aug 2025

Reviewer Service

EMNLP 2025 ICLR 2025 ICCV 2025 NeurIPS 2025 TDSC