I am now working on efficient model designing and model compression for LLM. If you are seeking any form of academic cooperation, please feel free to email me at jingkun@ahu.edu.cn. I am currently recruiting master’s students. I welcome inquiries from prospective students interested in AI research!
I am currently employed at School of Internet, Anhui University.
I received my Ph.D. degree in computer application technology from School of Computer Science and Technology, University of Chinese Academy of Sciences in January 2024. My Ph.D. supervisor is Prof. Jungang Xu. I received my B.S. degree in Internet of things engineering from School of Automation, Chongqing University of Posts and Telecommunications in June 2018.
My research interest includes efficient model designing, model compression, LLM, and neural architecture search. I have published 10+ papers at the top international AI journals and conferences with 
🔥 News
- 2026.02: 🎉 A survey is accepted by TETCI!
📝 Publications
TETCI 2025A Survey on Model Compression for Transformer-Based Large Language Models , Kun Jing, Yucheng Zhang, Xiangqian Wang, Zhaohong Jia.IJPRAI 2025Efficient Compression of Large Language Model based on Hybrid Layer and Channel Pruning, Ruixuan Lu, Kun Jing, Shichuan Ding, Zhaohong Jia, Jun Hang, Xiaoping Huang.Neurocomputing 2025Zero-Shot Neural Architecture Search with Weighted Response Correlation, Kun Jing, Luoyu Chen, Jungang Xu, Jianwei Tai, Yiyu Wang, Shuaimin Li.ICANN 2024Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework, Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu.ICANN 2024NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components, Di Wang, Kun Jing, Jungang Xu.KSEM 2024Improving Image Captioning with Image Concepts of Words, Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun.AISTATS 2024A Neural Architecture Predictor based on GNN-Enhanced Transformer, Xunzhi Xiang, Kun Jing, Jungang Xu.Neural Networks 2023An architecture entropy regularizer for differentiable neural architecture search, Kun Jing, Luoyu Chen, Jungang Xu.IJCNN 2022A Graph Architecture Search Method Based On Grouped Operations, Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun.IJCAI 2022Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search, Kun Jing, Jungang Xu, Pengfei Li.Neurocomputing 2022A neural architecture generator for efficient search space, Kun Jing, Jungang Xu, Zhen Zhang.IJCNN 2020NASABN: A Neural Architecture Search Framework for Attention-Based Networks, Kun Jing, Jungang Xu, Hui Xu.arXiv 2019A Survey on Neural Network Language Models, Kun Jing, Jungang Xu.
💰 Fundings
- National Natural Science Foundation of China (NSFC) - Young Scientists Fund, Leader, 2025.01-2027.12.
🎖 Honors and Awards
To be added
📖 Educations
- 2018.09 - 2024.01, Ph.D., School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing.
- 2014.09 - 2018.06, Undergraduate, School of Automation, Chongqing University of Posts and Telecommunications, Chongqing.
💻 Experiences
- 2024.01 - Present, Lecturer, School of Internet, Anhui University, Hehei.