Adaptive graph convolutional recurrent network for traffic forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020 | 660 | 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 | 214 | 2019 |
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 | 116 | 2018 |
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 | 99 | 2021 |
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 | 82 | 2021 |
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 | 71 | 2022 |
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 | 56 | 2019 |
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 | 47 | 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 | 45 | 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 | 38 | 2022 |
Adversarial multi-view networks for activity recognition L Bai, L Yao, X Wang, SS Kanhere, B Guo, Z Yu UbiComp 2020 4 (2), 1-22, 2020 | 35 | 2020 |
Psvit: Better vision transformer via token pooling and attention sharing B Chen, P Li, B Li, C Li, L Bai, C Lin, M Sun, J Yan, W Ouyang arXiv preprint arXiv:2108.03428, 2021 | 33 | 2021 |
Graph neural network for robust public transit demand prediction C Li, L Bai, W Liu, L Yao, ST Waller IEEE Transactions on Intelligent Transportation Systems 23 (5), 4086-4098, 2020 | 30 | 2020 |
A multi-task memory network with knowledge adaptation for multimodal demand forecasting C Li, L Bai, W Liu, L Yao, ST Waller Transportation Research Part C: Emerging Technologies 131, 103352, 2021 | 24 | 2021 |
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark Z Yin, J Wang, J Cao, Z Shi, D Liu, M Li, L Sheng, L Bai, X Huang, Z Wang, ... arXiv preprint arXiv:2306.06687, 2023 | 23 | 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 | 23 | 2021 |
Knowledge adaption for demand prediction based on multi-task memory neural network C Li, L Bai, W Liu, L Yao, ST Waller Proceedings of the 29th ACM international conference on information …, 2020 | 22 | 2020 |
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 | 21 | 2023 |
Deep spatial–temporal sequence modeling for multi-step passenger demand prediction L Bai, L Yao, X Wang, C Li, X Zhang Future Generation Computer Systems 121, 25-34, 2021 | 17 | 2021 |
Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference C Li, L Bai, W Liu, L Yao, ST Waller Transportation Research Part C: Emerging Technologies 124, 102921, 2021 | 15 | 2021 |