Guohao Li
Guohao Li
PhD student at KAUST
Verified email at kaust.edu.sa - Homepage
Title
Cited by
Cited by
Year
DeepGCNs: Can GCNs Go as Deep as CNNs?
G Li, M Muller, A Thabet, B Ghanem
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019
4382019
Deepergcn: All you need to train deeper gcns
G Li, C Xiong, A Thabet, B Ghanem
arXiv preprint arXiv:2006.07739, 2020
832020
SGAS: Sequential Greedy Architecture Search
G Li, G Qian, IC Delgadillo, M Müller, A Thabet, B Ghanem
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
742020
DeepGCNs: Making GCNs Go as Deep as CNNs
G Li, M Müller, G Qian, IC Delgadillo, A Abualshour, A Thabet, B Ghanem
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
282021
Flag: Adversarial data augmentation for graph neural networks
K Kong, G Li, M Ding, Z Wu, C Zhu, B Ghanem, G Taylor, T Goldstein
arXiv preprint arXiv:2010.09891, 2020
242020
OIL: Observational Imitation Learning
G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem
Robotics: Science and Systems (RSS), 2019
24*2019
Training Graph Neural Networks with 1000 Layers
G Li, M Müller, B Ghanem, V Koltun
International Conference on Machine Learning (ICML), 2021
132021
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
G Qian, A Abualshour, G Li, A Thabet, B Ghanem
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
132021
Learning a controller fusion network by online trajectory filtering for vision-based uav racing
M Muller, G Li, V Casser, N Smith, DL Michels, B Ghanem
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
72019
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks
G Li, M Xu, S Giancola, A Thabet, B Ghanem
arXiv preprint arXiv:2008.10309, 2020
12020
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
G Qian, HAAK Hammoud, G Li, A Thabet, B Ghanem
Advances in Neural Information Processing Systems (NeurIPS), 2021
2021
Technology for memory-efficient and parameter-efficient graph neural networks
M Mueller, V Koltun, G Li
US Patent App. 17/358,448, 2021
2021
DEEPERBIGGERBETTER FOR OGB-LSC AT KDD CUP 2021
G Li, J Zarzar, H Mostafa, S Shah, M Nassar, D Cummings, ...
2021
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