I am an Assistant Professor at State Key Laboratory of Complex & Critical Software Environment, Institute of Artificial Intelligence, Beihang University, China. I have closely collaborated with Dr. Jiaheng Liu, Prof. Dong Xu, Prof. Wanli Ouyang, and Prof. Xianglong Liu.

Before that, I obtained my B.Eng (Hons1) degree from School of Electrical and Telecommunication, The University of New South Wales, Australia. I obtained my Ph.D. degree from School of Electrical and Information Engineering, The University of Sydney. My research interests lie in efficient and scalable AI computing (e.g., model-efficiency, data-efficiency, label-efficiency), neuromorphic computing (e.g., spiking neural network), AI4Science (e.g., AI for quantum computing).

[Prospective students] Our group has positions for PhD students, Master students, and visiting students. If you are interested, please send me an email with your CV and publications (if any).



CONTACT

Email: jinyangguo@buaa.edu.cn; john.guojinyang@gmail.com
Address: No.37 Xueyuan Road, Beijing, China
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RECENT NEWS

[2024.07] Three papers are accepted by ACM MM 2024.

[2024.06] We are organizing the first EMCLR workshop on ACM MM 2024! Workshop website can be seen here. Please submit your papers!

[2024.05] I am organizing the special issue of Advances in Deep Learning and Intelligent Computing on Applied Science. Please submit your papers!

[2024.05] One paper is accepted by ICML2024 and one paper is accepted by ACL Findings 2024.

[2024.04] We are organizing the second GLOW workshop on IJCAI2024! Workshop website can be seen here. Please submit your papers!

[2024.03] Three papers are accepted by CVPR2024.

[2024.03] I am serving as the chair of deep learning session on International Conference on Artificial Intelligence and Human-Computer Interaction, 2023.

[2023.09] I am serving as guest editor for Frontiers in Artificial Intelligence. Please submit your papers!

[2023.09] We successfully organize the GLOW workshop on IJCAI2023! Workshop website can be seen here

[2023.05] One paper is accepted by T-NNLS and one paper is accept by ACL Findings 2023.

[2023.03] Papers are accepted by T-IP, CVPR2023, and T-CSVT.

[2022.08] One paper is accepted by T-CSVT and one paper is accepted by T-MM.

[2022.07] One paper is accepted by ECCV 2022 and one paper is accepted by T-IP.

[2022.07] Two papers are accepted by CVPR 2022 (including one oral).

[2021.10] I am selected in Doctoral Consortium, ICCV 2021.

[2021.08] Two papers are accepted by T-CSVT.




Last update: 2024.01 Template from Pan Xu