Guohao Li

PhD student in Computer Science




Guohao Li is currently a PhD student in Computer Science at King Abdullah University of Science and Technology (KAUST). He is a member of the Image and Video Understanding Laboratory (IVUL) in the Visual Computing Center (VCC), advised by Prof. Bernard Ghanem. During his PhD studies, he worked at Intel ISL as a research intern with Dr. Vladlen Koltun and Dr. Matthias Müller. He also visited Prof. Fisher Yu’s lab at ETHz as a visiting researcher. 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 and TPAMI.


  • Graph Machine Learning
  • Computer Vision
  • Embodied AI


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

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Visiting Researcher

ETH Zurich

Apr 2021 – Jul 2021 Switzerland, Zürich
Active Neural SLAM

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


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