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Ph.D. |
I am currently employed at School of Internet, Anhui University. I received my B.S. degree in Internet of things engineering from School of Automation, Chongqing University of Posts and Telecommunications in June 2018. 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.
Research Interests: Neural Architecture Search (NAS), Automatic Machine Learning (AutoML), and Computer Vision (CV).
Kun Jing, Jungang Xu, and Pengfei Li. Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. Proceedings of The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. [PDF]
Kun Jing, Jungang Xu, and Luoyu Chen. An Architecture Entropy Regularizer for Differentiable Neural Architecture Search. Neural Networks, 2022. [PDF]
Kun Jing, Jungang Xu, and Zhen Zhang. A Neural Architecture Generator for Efficient Search Space. Neurocomputing, 2022. [PDF]
Kun Jing, Jungang Xu, and Hui Xu. NASABN: A Neural Architecture Search framework for Attention-based Networks. Proceedings of 2020 International Joint Conference on Neural Networks (IJCNN), 2020. [PDF]
Kun Jing, and Jungang Xu. A Survey on Neural Network Language Models. arXiv preprint arXiv:1906.03591, 2019. [PDF]