Mingyu Jin

About Me

I am a first-year PhD student at the Department of Computer Science, Rutgers University-New Brunswick. My research interests lie in Explainable AI(XAI), emphasizing large language models(LLMs). Before that, I obtained my bachelor’s degree from the University of Liverpool.

Research Interests

Explainable AI, Natural Language Processing, Interpretability, Data Mining

News

• [3/2025] One paper was accepted by ACS NANO (IF=15.9) about Interpretable ML for Nanogenerators Structural Design
• [3/2025] One paper was accepted by SIGKDD Explorations Newsletter
• [1/2025] One papers accepted by NAACL 2025 Congratulation to Sam, Zhenting and Wenyue
• [1/2025] Two papers accepted by ICLR 2025 Congratulation to Guangyan, Zeru, Kai
• [12/2024] One paper was accepted by SIGKDD Explorations Newsletter
• [11/2024] Check our new preprint about Disentangling Memory and Reasoning in LLM
• [11/2024] One paper was accepted by COLING 2025
• [11/2024] Check our new version of the paper LLM Agent Operating System
• [10/2024] One paper was accepted by EMNLP 2024 Demo Track
• [09/2024] Two paper was accepted by EMNLP 2024
• [09/2024] One paper was accepted by ICDM 2024
• [09/2024] One paper was accepted by ACML 2024
• [08/2024] One survey was accepted by Journal of Healthcare Informatics Research(IF=5.7)
• [08/2024] Please check our preprint and code about Stockagent
• [07/2024] Please check our preprint about Manipulating Uncertainty in Large Language Models
• [07/2024] One Paper was accepted by COLM 2024
• [07/2024] Our Paper: Simulating Alien Civilizations with LLM-based Agent was reported by this website.
• [07/2024] One paper was accepted by ECAI 2024 as Oral.
• [06/2024] I was invited to give a talk about Prollm@Nice
• [06/2024] One paper was accepted by TiFA@ICML 2024
• [05/2024] One paper was accepted by ACL 2024, thanks@Qinkai
• [04/2024] Check Our Preprint: Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? about the concept depth in LLM.
• [02/2024] Give a talk@Zhiyuan
• [02/2024] Get my PhD offer from Rutgers University!!! I will join the WISE lab in 2024 fall.
• [01/2024] Check Our Preprint: The Impact of Reasoning Step Length on Large Language Models about how Cot works.
• [12/2023] One paper was accepted by AAAI 2024
• [09/2023] Started my visit to Northwestern University!!!
• [07/2023] One paper was accepted by ICONIP 2023.

Services

• Conference reviewing: RecSys 2024, NeurIPS 2024, ICLR 2024, ACL ARR 2025, NeurIPS 2025, COLM 2025
• Journal reviewing: ACM TORS

Publication

• Visual agents as fast and slow thinkers (ICLR 2025)

  Guangyan Sun🌟, Mingyu Jin🌟, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

• From Commands to Prompts: LLM-based Semantic File System for AIOS (ICLR 2025)

  Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang

• Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? (COLING 2025)

  Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

• Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis (EMNLP 2024)

  Qingcheng Zeng, Mingyu Jin, Rob Voigt

• TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution (EMNLP Findings 2024)

  Wenyue Hua, Xianjun Yang, Mingyu Jin, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

• ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction (COLM 2024)

  Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang

• Target-driven Attack for Large Language Models (ECAI 2024)

  Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Jinbo Jin

• The Impact of Reasoning Step Length on Large Language Models (ACL Findings 2024)

  Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

• MathAttack: Attacking Large Language Models towards Math Solving Ability (AAAI 2024)

  Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang

• Knowledge Graph Large Language Model (KG-LLM) for Link Prediction (ACML 2024)

  Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang

• Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities (ACM SIGKDD Explorations)

  Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Yongfeng Zhang, Mengnan Du

• AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models (ACM SIGKDD Explorations)

  Dong Shu, Chong Zhang, Mingyu Jin, Zihao Zhou, Lingyao Li, Yongfeng Zhang

• EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models (NAACL 2025)

  Guo Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Yongfeng Zhang

Recent Research Project and Research Framework

🌟 means equal contributor

Explainability and Trustworthy of Large Language Model

• Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

  Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, JinDong Wang, Yongfeng Zhang

• The impact of reasoning step length on large language models

  Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

• Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

  Mingyu Jin🌟, Qinkai Yu🌟, Jingyuan Huang🌟, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

Security

• MathAttack: Attacking Large Language Models Towards Math Solving Ability

  Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang

• Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models

  Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang

• Towards Imperceptible Backdoor Attack in Self-supervised Learning

  Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma

Interest in Life

• 三国杀
• Basketball
• Travel

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