Mingyu Jin

According to our database, Mingyu Jin authored at least 55 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

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

SIGKDD Explor., June, 2025

MoralBench: Moral Evaluation of LLMs.

Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang

SIGKDD Explor., June, 2025

Two-stage effective attentional generative adversarial network.

Mingyu Jin, Qinkai Yu, Chong Zhang, Haochen Xue, Shuliang Zhao

Appl. Intell., June, 2025

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.

Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang, Mengnan Du

CoRR, May, 2025

Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning.

Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen

CoRR, April, 2025

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding.

Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang

CoRR, February, 2025

Recommender Systems Meet Large Language Model Agents: A Survey.

Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang

Found. Trends Priv. Secur., 2025

Data-centric NLP Backdoor Defense from the Lens of Memorization.

Zhenting Wang, Zhizhi Wang, Mingyu Jin, Mengnan Du, Juan Zhai, Shiqing Ma

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.

Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Visual Agents as Fast and Slow Thinkers.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

From Commands to Prompts: LLM-based Semantic File System for AIOS.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Invisible Backdoor Attack against Self-supervised Learning.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Fine-Grained Human Motion Video Captioning.

Bingchan Zhao, Xinyi Liu, Zhuocheng Yu, Tongchen Yang, Yifan Song, Mingyu Jin, Sujian Li, Yizhou Wang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept 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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Disentangling Memory and Reasoning Ability in Large Language Models.

Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

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

SIGKDD Explor., December, 2024

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis.

Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma

J. Heal. Informatics Res., December, 2024

Portable Arduino-Based Multi-Sensor Device (SBEDAD): Measuring the Built Environment in Street Cycling Spaces.

Chuanwen Luo, Linyuan Hui, Zikun Shang, Chenlong Wang, Mingyu Jin, Xiaobo Wang, Ning Li

Sensors, May, 2024

Game-theoretic LLM: Agent Workflow for Negotiation Games.

Wenyue Hua, Ollie Liu, Lingyao Li, Alfonso Amayuelas, Julie Chen, Lucas Jiang, Mingyu Jin, Lizhou Fan, Fei Sun, William Wang, Xintong Wang, Yongfeng Zhang

CoRR, 2024

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow.

Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan

CoRR, 2024

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis.

Daoyang Li, Mingyu Jin, Qingcheng Zeng, Haiyan Zhao, Mengnan Du

CoRR, 2024

Visual Agents as Fast and Slow Thinkers.

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

CoRR, 2024

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.

Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu

CoRR, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang

CoRR, 2024

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

CoRR, 2024

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.

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

CoRR, 2024

Better Sampling, towards Better End-to-end Small Object Detection.

Zile Huang, Chong Zhang, Mingyu Jin, Fangyu Wu, Chengzhi Liu, Xiaobo Jin

CoRR, 2024

Towards Imperceptible Backdoor Attack in Self-supervised Learning.

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

CoRR, 2024

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction.

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

CoRR, 2024

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis.

Shuhang Lin, Wenyue Hua, Lingyao Li, Che-Jui Chang, Lizhou Fan, Jianchao Ji, Hang Hua, Mingyu Jin, Jiebo Luo, Yongfeng Zhang

CoRR, 2024

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

CoRR, 2024

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review.

Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma

CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

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

CoRR, 2024

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models.

Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang

CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.

Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, Zihao Zhou, Chong Zhang, Yongfeng Zhang

CoRR, 2024

Goal-Guided Generative Prompt Injection Attack on Large Language Models.

Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin

Proceedings of the IEEE International Conference on Data Mining, 2024

Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis.

Qingcheng Zeng, Mingyu Jin, Rob Voigt

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

TrustAgent: Towards Safe and Trustworthy LLM-based Agents.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Target-driven Attack for Large Language Models.

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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

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

Proceedings of the Asian Conference on Machine Learning, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin

Proceedings of the Computer Vision - ACCV 2024, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Assessing Prompt Injection Risks in 200+ Custom GPTs.

Jiahao Yu, Yuhang Wu, Dong Shu, Mingyu Jin, Xinyu Xing

CoRR, 2023

Metric Learning for Projections Bias of Generalized Zero-shot Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin

CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.

Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang

CoRR, 2023

Automatic Image Blending Algorithm Based on SAM and DINO.

Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin

CoRR, 2023

Image Blending Algorithm with Automatic Mask Generation.

Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Emergency Stop System of Computer Vision Workstation Based on GMM-HMM and LSTM.

Muhuan Wu, Fangrui Guo, Junwei Wu, Yuliang Xiao, Mingyu Jin, Quan Zhang

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2018

ABC⁺: extended action-benefit-cost modeling with knowledge-based decision-making and interaction model for system of systems simulation.

Mingyu Jin, Donghwan Shin, Doo-Hwan Bae

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017

SoS GaP Slicer: Slicing SoS Goal and PRISM Models for Change-Responsive Verification of SoS.

Jiyoung Song, Young Min Baek, Mingyu Jin, Eunkyoung Jee, Doo-Hwan Bae

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017