| 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 | 1685 | 2019 |
| 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 | 456* | 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 | 360 | 2023 |
| Training Graph Neural Networks with 1000 Layers G Li, M Müller, B Ghanem, V Koltun International Conference on Machine Learning (ICML), 2021 | 255 | 2021 |
| 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 | 243 | 2020 |
| 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 | 211 | 2021 |
| 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 | 206* | 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 | 74 | 2021 |
| 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 | 48 | 2023 |
| OIL: Observational Imitation Learning G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem Robotics: Science and Systems (RSS), 2019 | 48* | 2019 |
| 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 | 29 | 2022 |
| 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 | 21 | 2024 |
| 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 | 19 | 2023 |
| 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 | 16 | 2023 |
| 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 | 13 | 2023 |
| 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 | 13 | 2019 |
| 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 | 11 | 2022 |
| 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 | 6 | 2022 |
| 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 | 5 | 2024 |
| 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 | 4 | 2022 |
Bernard GhanemProfessor, King Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
