| Adaptive graph convolutional recurrent network for traffic forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020 | 1451 | 2020 |
| Stg2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting L Bai, L Yao, S Kanhere, X Wang, Q Sheng IJCAI 2019, 2019 | 308 | 2019 |
| Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking B Chen, P Li, L Bai, L Qiao, Q Shen, B Li, W Gan, W Wu, W Ouyang European Conference on Computer Vision (ECCV)，2022, 2022 | 248 | 2022 |
| FengWu: Pushing the skillful global medium-range weather forecast beyond 10 days lead K Chen, T Han, J Gong, L Bai, F Ling, JJ Luo, X Chen, L Ma, T Zhang, ... arXiv preprint arXiv:2304.02948, 2023 | 172 | 2023 |
| Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving Z Yuan, X Song, L Bai, Z Wang, W Ouyang IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2068-2078, 2021 | 171 | 2021 |
| Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark Z Yin, J Wang, J Cao, Z Shi, D Liu, M Li, X Huang, Z Wang, L Sheng, L Bai, ... Advances in Neural Information Processing Systems 36, 26650-26685, 2023 | 161 | 2023 |
| Automatic device classification from network traffic streams of internet of things L Bai, L Yao, SS Kanhere, X Wang, Z Yang 2018 IEEE 43rd conference on local computer networks (LCN), 1-9, 2018 | 152 | 2018 |
| Glit: Neural architecture search for global and local image transformer B Chen, P Li, C Li, B Li, L Bai, C Lin, M Sun, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision, 12-21, 2021 | 127 | 2021 |
| MotionGPT: Finetuned LLMs are General-Purpose Motion Generators Y Zhang, D Huang, B Liu, S Tang, Y Lu, L Chen, L Bai, Q Chu, N Yu, ... Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024 | 92 | 2024 |
| Largest: A benchmark dataset for large-scale traffic forecasting X Liu, Y Xia, Y Liang, J Hu, Y Wang, L Bai, C Huang, Z Liu, B Hooi, ... Advances in Neural Information Processing Systems 36, 75354-75371, 2023 | 92 | 2023 |
| Rs-mamba for large remote sensing image dense prediction S Zhao, H Chen, X Zhang, P Xiao, L Bai, W Ouyang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 88 | 2024 |
| Seeing is not always believing: Benchmarking human and model perception of ai-generated images Z Lu, D Huang, L Bai, J Qu, C Wu, X Liu, W Ouyang Advances in Neural Information Processing Systems 36, 25435-25447, 2023 | 83* | 2023 |
| Passenger demand forecasting with multi-task convolutional recurrent neural networks L Bai, L Yao, SS Kanhere, Z Yang, J Chu, X Wang Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 81 | 2019 |
| Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Y Wang, S Tang, F Zhu, L Bai, R Zhao, D Qi, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 70 | 2022 |
| Mutual crf-gnn for few-shot learning S Tang, D Chen, L Bai, K Liu, Y Ge, W Ouyang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 69 | 2021 |
| UniHCP: A Unified Model for Human-Centric Perceptions Y Ci, Y Wang, M Chen, S Tang, L Bai, F Zhu, R Zhao, F Yu, D Qi, ... CVPR 2023, 2023 | 63 | 2023 |
| Graph-based 3d multi-person pose estimation using multi-view images S Wu, S Jin, W Liu, L Bai, C Qian, D Liu, W Ouyang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 63 | 2021 |
| Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction L Bai, L Yao, SS Kanhere, X Wang, W Liu, Z Yang Proceedings of the 28th ACM international conference on information and …, 2019 | 55 | 2019 |
| Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole F Ling, JJ Luo, Y Li, T Tang, L Bai, W Ouyang, T Yamagata Nature Communications 13 (1), 7681, 2022 | 51 | 2022 |
| Jointly Contrastive Representation Learning on Road Network and Trajectory Z Mao, Z Li, D Li, L Bai, R Zhao The Conference on Information and Knowledge Management (CIKM), 2022 | 49 | 2022 |
Wanli Ouyang (欧阳万里)Shanghai AI Lab & CUHKZweryfikowany adres z sydney.edu.au