Guangyao Chen

CGY.png

I received my Ph.D. degree at National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, supervised by Prof.Yonghong Tian. I received my Bachelor degree in Computer Science from Wuhan University in 2018.

My current research strives to learn efficient and robust AI models with prior knowledge, and reasoning and decision-making in the open world.

Feel free to catch me if interested to discuss ideas or work together. 😜

news

Jun 16, 2023 I receive my Ph.D. degree in computer science from Peking University with Outstanding Doctoral Dissertation Award.
Oct 15, 2022 One paper on Large-scale multi-modal pre-trained models is accepted by the journal Machine Intelligence Research (MIR) 2022.
Sep 7, 2022 Two papers on Image-based Reinforcement Learning and Out-of-Distribution Detection are accepted by the conference NeurIPS 2022.
Jul 22, 2022 I receive the Certificate of Appreciation for outstanding contributions to the development of IEEE Standard 2941-2022 from the IEEE Standards Association. Many thanks to IEEE Standards Association and AIM Working Group.

selected publications

  1. ICCV
    Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
    Guangyao Chen, Peixi Peng, Li Ma, and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021
    arXiv Paper Code
  2. TPAMI
    Adversarial Reciprocal Points Learning for Open Set Recognition
    Guangyao Chen, Peixi Peng, Xiangqian Wang, and 1 more author
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct 2022 (Academician Shi Qingyun’s Outstanding Paper Award)
    arXiv Paper Code