Avatar

Guohao Li

Incoming PostDoc in Computer Science

Stanford

@Follow
DeepGCNs
DeepGCNs.org

Biography

Guohao Li is an incoming Postdoctoral Scholar in Computer Science at Stanford University with Prof. Jure Leskovec. He obtained his PhD degree in Computer Science at King Abdullah University of Science and Technology (KAUST) advised by Prof. Bernard Ghanem. During his PhD studies, he worked at Intel ISL as a research intern. He visited ETHz CVL as a visiting researcher. He also worked at Kumo AI as the first intern and contributed to PyG as a core member. His primary research interests are Graph Machine Learning, Computer Vision and Embodied AI. He has published related papers in top tier conferences and journals such as ICCV, CVPR, ICML, NeurIPS, RSS, 3DV and TPAMI.

If you are interested in my research, please feel free to contact me for any discussion via email guohao.li@kaust.edu.sa.

Interests

  • Graph Machine Learning
  • Computer Vision
  • Embodied AI

Updates

Recent & Upcoming Talks

Sequential Greedy Architecture Search for CNN&GCN

UMass, AI Tech Comments

DeepGCNs for Representation Learning on Graphs

Stanford, Google AI, Oxford, Emory, Baidu PGL, Cerebras Systems ML, KAUST Conference AI (Best Spotlight Award), NeurIPS Meetup 2019, NVIDIA GTC China 2019, M2Lschool2021, Jiangmen Live Streaming

All Publications

Quickly discover relevant content by filtering publications.

Experience

 
 
 
 
 

PhD Remote Intern

Kumo AI

May 2022 – Present Remote
Graph Machine Learning
 
 
 
 
 

Visiting Researcher

ETH Zurich

Apr 2021 – Jul 2021 Switzerland, Zürich
Embodied Navigation
 
 
 
 
 

Research Intern

Intel Intelligent Systems Lab

Aug 2020 – Mar 2021 Germany, Munich
Efficient Graph Neural Networks
 
 
 
 
 

Research Intern

SenseTime Research

Apr 2017 – Jul 2017 China, Shenzen
Autonomous Driving, Reinforcement Learning, Computer Vision
 
 
 
 
 

Research Intern

Unisound

Jul 2016 – Aug 2016 China, Shanghai
Natural Language Understanding, Natural Language Processing

Contact