No one can succeed if he is afraid of failure. I have failed a lot of times. But I will try again, fail again and fail better.

Education Profile

  • B.S., Engineering, Xi'an Jiaotong University, China, 2018

Honors & Awards

  • Outstanding Undergraduate, Xi'an Jiaotong University, 2017
  • Meritorious Winner, International Mathematical Modeling Contest, 2016
  • Outstanding Student Leader, 2015

Guocheng Qian is currently working towards the MSc degree in the Department of Computer Science at King Abdullah University of Science and Technology (KAUST). He researches deep learning and computer vision at Image and Video Understanding Lab (IVUL), supervised by Prof. Bernard Ghanem. His research interests include computer vision, computational photography and point cloud processing.

Education and Early Career

Guocheng obtained his bachelor's degree in Engineering with honor from Xi’an Jiaotong University (XJTU) in China in 2018. He was a visiting student at Hong Kong University of Science and Technology from Feb 2017 to May 2017. He also joined Sakura Science Student Exchange Program and visited Wakayama University in Japan in Dec 2017. Before joining KAUST, he worked in the Artificial Intelligence and Image Enhancement Group at SenseTime in China, directed by Dr. Jimmy S. Ren for almost a year.

Research Interest 

  • Image Enhancement
  • Point Cloud Processing

Selected Publications

Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, and Juan Lin. "Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution." arXiv preprint arXiv:1905.02538 (2019)
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, and Bernard Ghanem. "PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks." arXiv preprint arXiv:1912.03264 (2019).