Adaptive graph convolutional recurrent network for traffic forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020 | 121 | 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 | 83 | 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 | 64 | 2018 |
Passenger demand forecasting with multi-task convolutional recurrent neural networks L Bai, L Yao, SS Kanhere, Z Yang, J Chu, X Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 29-42, 2019 | 26 | 2019 |
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 | 24 | 2019 |
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, 2021 | 18 | 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 | 15 | 2021 |
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 | 14 | 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 | 10 | 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, 2020 | 10 | 2020 |
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 | 9 | 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 | 9 | 2020 |
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 | 8 | 2021 |
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 | 6 | 2021 |
Spectrum-guided adversarial disparity learning Z Liu, L Yao, L Bai, X Wang, C Wang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 6 | 2020 |
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness Y Xiao, Q Pei, L Yao, S Yu, L Bai, X Wang Journal of Network and Computer Applications 156, 102579, 2020 | 6 | 2020 |
Passenger demographic attributes prediction for human-centered public transport C Li, L Bai, W Liu, L Yao, ST Waller International Conference on Neural Information Processing, 486-494, 2019 | 4 | 2019 |
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 | 3 | 2021 |
Are you a risk taker? adversarial learning of asymmetric cross-domain alignment for risk tolerance prediction Z Liu, L Yao, X Wang, L Bai, J An 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
Prototype similarity learning for activity recognition L Bai, L Yao, X Wang, SS Kanhere, Y Xiao Pacific-Asia Conference on Knowledge Discovery and Data Mining, 649-661, 2020 | 3 | 2020 |