Takip et
Guohao Li
Guohao Li
University of Oxford, CAMEL-AI.org
robots.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
19172019
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
613*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
541*2023
Training Graph Neural Networks with 1000 Layers
G Li, M Müller, B Ghanem, V Koltun
International Conference on Machine Learning (ICML), 2021
2942021
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
2612021
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
2612020
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
253*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
922021
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
732023
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
712024
OIL: Observational Imitation Learning
G Li, M Mueller, V Casser, N Smith, DL Michels, B Ghanem
Robotics: Science and Systems (RSS), 2019
53*2019
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
432023
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
432022
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
302023
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
142019
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
13*2024
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
132022
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
112022
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
92024
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