Guocheng Qian


Ph.D. student in Computer Science

King Abdullah University of Science and Technology (KAUST)

Guocheng Qian

Guocheng Qian (钱国成) is currently a first-year Ph.D. student in Computer Science at KAUST. He is part of the Image and Video Understanding Lab (IVUL) advised by Prof. Bernard Ghanem. Guocheng received his B.Eng degree with first class honors from Xi’an Jiaotong University (XJTU), China in 2018.

“I want to make deep learning less costly and more efficient”, says Guocheng. Guocheng’s research interests lie in efficient deep learning. He currently works on Neural Architecture Search (reduce design cost), self-supervised learning (reduce labeling cost), and efficient neural network (reduce application/deployment cost).


Interests with Paper

  • Neural Architecture Search ( SGAS)
  • Efficient Neural Network
  • Graph Convolutional Network ( DeepGCNs, PU-GCN)
  • 3D representation learning


  • Publications so far: 2 CVPR, 1 TPAMI, 1 NeurIPS, 2 Arxiv
  • 2021/10/10 : First-authored paper ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning gets accepted to NeurIPS’21 as a spotlight paper. code NEW!.
  • 2021/03/07 : Co-first authored paper DeepGCNs: Making GCNs Go as Deep as CNNs get accpected to journal TPAMI’21 . We achieve SOTA on PPI and SOTA on ModleNet40. We also add experiments in PartNet. I implement the code.
  • 2021/03/01 : First authored paper PUGCN get accepted to CVPR’21
  • 2020/12/18 : I graduate as a Master in Computer Science! Congradulation to myself!!!
  • 2020/12/01 : I write some random Deep Learning stuff on my blog Deep-Learning-PhD-Wiki. Keep updating!
  • 2020/03/04 : Co-first authored paper SGAS (Sequential Greedy Architecture Search) get accepted to CVPR’20. See arxiv, project website and Code. I take care the GCN part.
  • 2020/01/21 : I serve as Teaching Assistant for course: CS390D Deep Learning (2020 Spring)
  • 2019/05/03 : First authored paper “Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution” is available here arxiv. Release PixelShift200 dataset, a full color sampled dataset for demosaicking related research.
  • 2018/07/10 : I graduate from Xi’an Jiaotong University with the highest undergraduate honor (with GPA 3.93/4.3).
  • 2018/06/20 : I join Sensetime Research as a research intern, supervised by Jimmy S. Ren.


Outstanding Undergraduate (Top 10, highest undergraduate honor)

National Second Prize for the National Undergraduate Electronics Design Contest (Top 5%)

National First Class Scholarship (Top 2%)



Research Intern

Jun 2020 – Dec 2021 Beijing, China
Worked with Xiangyu Zhang and Xuanyang Zhang on paper [TNAS].

Research Intern

Jul 2018 – May 2019 Shenzhen, China
Worked with Jimmy S. Ren on paper TENet.