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Lei Bai
Lei Bai
Shanghai AI Laboratory
在 sydney.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Adaptive graph convolutional recurrent network for traffic forecasting
L Bai, L Yao, C Li, X Wang, C Wang
NeurIPS 2020, 2020
12702020
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
2952019
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
2012022
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
1602021
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
1442018
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
1362023
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
1272024
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
1152021
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
772019
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
762024
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
682022
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, 2024
652024
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
652021
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, 2024
64*2024
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
582021
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
552019
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
532023
Rs-mamba for large remote sensing image dense prediction
S Zhao, H Chen, X Zhang, P Xiao, L Bai, W Ouyang
arXiv preprint arXiv:2404.02668, 2024
512024
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
452021
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
432022
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