Mingyu Jin

According to our database, Mingyu Jin authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

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

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

CoRR, 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

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

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