Follow
Lei Bai
Lei Bai
Shanghai AI Laboratory
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Adaptive graph convolutional recurrent network for traffic forecasting
L Bai, L Yao, C Li, X Wang, C Wang
NeurIPS 2020, 2020
7772020
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
2322019
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
1222018
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
1072021
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
952022
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
832021
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
622019
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
532021
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
482022
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
482019
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
462023
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, 2024
412024
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
382020
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
342021
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
332020
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
312021
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
282021
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
232020
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
202021
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
202021
The system can't perform the operation now. Try again later.
Articles 1–20