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 Postdoc, 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