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Guohao Li
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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
16052019
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions
G Li, C Xiong, G Qian, A Thabet, B Ghanem
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
422*2023
Camel: Communicative agents for" mind" exploration of large language model society
G Li, H Hammoud, H Itani, D Khizbullin, B Ghanem
Advances in Neural Information Processing Systems 36, 2023
3072023
Training Graph Neural Networks with 1000 Layers
G Li, M Müller, B Ghanem, V Koltun
International Conference on Machine Learning (ICML), 2021
2422021
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
2342020
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
1942021
Flag: Adversarial data augmentation for graph neural networks
K Kong, G Li, M Ding, Z Wu, C Zhu, B Ghanem, G Taylor, T Goldstein
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
193*2022
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
672021
OIL: Observational Imitation Learning
G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem
Robotics: Science and Systems (RSS), 2019
48*2019
Mindstorms in natural language-based societies of mind
M Zhuge, H Liu, F Faccio, DR Ashley, R Csordás, A Gopalakrishnan, ...
arXiv preprint arXiv:2305.17066, 2023
442023
Diffusion-based scene graph to image generation with masked contrastive pre-training
L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ...
arXiv preprint arXiv:2211.11138, 2022
282022
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers
J Chen, G Li, S Kumar, B Ghanem, F Yu
Robotics: Science and Systems (RSS), 2023
162023
Can Large Language Model Agents Simulate Human Trust Behaviors?
C Xie, C Chen, F Jia, Z Ye, K Shu, A Bibi, Z Hu, P Torr, B Ghanem, G Li
arXiv preprint arXiv:2402.04559, 2024
142024
Brave the wind and the waves: Discovering robust and generalizable graph lottery tickets
K Wang, Y Liang, X Li, G Li, B Ghanem, R Zimmermann, H Yi, Y Zhang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
142023
The snowflake hypothesis: Training deep GNN with one node one receptive field
K Wang, G Li, S Wang, G Zhang, K Wang, Y You, X Peng, Y Liang, ...
arXiv preprint arXiv:2308.10051, 2023
132023
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
122019
LC-NAS: Latency constrained neural architecture search for point cloud networks
G Li, M Xu, S Giancola, A Thabet, B Ghanem
International Conference on 3D Vision & IEEE/CVF Conference on Computer …, 2022
112022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
G Qian, X Zhang, G Li, C Zhao, Y Chen, X Zhang, B Ghanem, J Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
K Alhamoud, Y Ghunaim, AS Alshehri, G Li, B Ghanem, F You
Computers & Chemical Engineering 183, 108622, 2024
42024
Learning scene flow in 3d point clouds with noisy pseudo labels
B Li, C Zheng, G Li, B Ghanem
arXiv preprint arXiv:2203.12655, 2022
42022
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