| 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 | 1892 | 2019 |
| 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 | 586* | 2023 |
| 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 | 534* | 2023 |
| Training Graph Neural Networks with 1000 Layers G Li, M Müller, B Ghanem, V Koltun International Conference on Machine Learning (ICML), 2021 | 288 | 2021 |
| 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 | 257 | 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 | 257 | 2020 |
| 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 | 250* | 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 | 91 | 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 | 72 | 2023 |
| Can Large Language Model Agents Simulate Human Trust Behavior? C Xie, C Chen, F Jia, Z Ye, S Lai, K Shu, J Gu, A Bibi, Z Hu, D Jurgens, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 70 | 2024 |
| OIL: Observational Imitation Learning G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem Robotics: Science and Systems (RSS), 2019 | 53* | 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 | 43 | 2022 |
| 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 | 42 | 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, Z Zhou, H Yi, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 3388-3405, 2023 | 30 | 2023 |
| The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field K Wang, G Li, S Wang, G Zhang, K Wang, Y You, J Fang, X Peng, Y Liang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 22* | 2024 |
| 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 | 14 | 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 | 13 | 2022 |
| CRAB: Cross-platfrom agent benchmark for multi-modal embodied language model agents T Xu, L Chen, DJ Wu, Y Chen, Z Zhang, X Yao, Z Xie, Y Chen, S Liu, ... NeurIPS 2024 Workshop on Open-World Agents, 2024 | 12* | 2024 |
| 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 | 11 | 2022 |
| The heterophilic snowflake hypothesis: Training and empowering gnns for heterophilic graphs K Wang, G Zhang, X Zhang, J Fang, X Wu, G Li, S Pan, W Huang, Y Liang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 9 | 2024 |
Bernard GhanemProfessor, King Abdullah University of Science and TechnologyPatvirtintas el. paštas kaust.edu.sa
