Chengxuan Zhu

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Emai1: peterzhu [at] pku [dot] edu [dot] cn

I am a first-year Ph.D. student at National Key Lab of General AI, School of Intelligence Science and Technology, Peking University. Currently I’m working in CameraLab, supervised by Prof. Boxin Shi and Prof. Chao Xu. I received my B.Sc. degree from school of electronic engineering and computer science in Peking University.

My research interest lies in computer vision and computational photography. I’m open to new ideas and cross-field collaboration. Feel free to contact me for further discussion.

During free time, I am also a passionate professional photographer, working with Visual China Group and Peking University. You may find my works published at the official account of PKU on such platforms as Weibo, Wechat, Instagram, etc.

Publications

(*: Equal Contribution)

NB-GTR: Narrow-Band Guided Turbulence Removal
Yifei Xia, Chu Zhou, Chengxuan Zhu, Minggui Teng, Chao Xu, Boxin Shi
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
Neural Underwater Scene Representation
Yunkai Tang*, Chengxuan Zhu*, Renjie Wan, Chao Xu, Boxin Shi
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
Colorizing Monochromatic Radiance Fields
Yean Cheng, Renjie Wan, Shuchen Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi
Oral, In AAAI Conference on Artificial Intelligence, 2024.
pdf
Occlusion-Free Scene Recovery via Neural Radiance Fields
Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
pdf code
When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X
Kenuo Xu*, Kexing Zhou*, Chengxuan Zhu*, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu
In Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023.
pdf
Neural Transmitted Radiance Fields
Chengxuan Zhu*, Renjie Wan*, Boxin Shi
Advances in Neural Information Processing Systems, 2022.
pdf code

Experiences

  • Guest Lecturer on Photojournalism, YASP PKU, Spring 2024
  • Teaching Assistant, Scientific Writing, Spring 2023-2024
  • Teaching Assistant, Learning Data Science with Python, Spring 2022-2023
  • Teaching Assistant, Introduction to Computer Systems, Fall 2022-2023
  • Teaching Assistant, Algorithm Design and Analysis, Spring 2021-2022
  • Teaching Assistant, Introduction to Computer Systems, Fall 2021-2022
  • Chief Photographer, Student News Agency of Peking University, 2023/10-Present
  • Vice Editor in Chief, Student News Agency of Peking University, 2022/3-Present
  • Chief Editor in photography, Student News Agency of Peking University, 2021/3-2022/3
  • Vice Editor in photography, Student News Agency of Peking University, 2020/9-2021/3