| Adaptive graph convolutional recurrent network for traffic forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020 | 177 | 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 | 107 | 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 | 74 | 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 | 31 | 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 32 (4), 2068-2078, 2021 | 27 | 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 | 26 | 2019 |
| 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 | 23 | 2021 |
| 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 | 14 | 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 | 11 | 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 | 11 | 2020 |
| 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 | 11 | 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 | 10 | 2020 |
| 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 | 8 | 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 | 8 | 2021 |
| 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 | 8 | 2021 |
| 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 | 6 | 2022 |
| 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 | 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 |
| 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 |
Lina YaoScientia Associate Professor, University of New South Wales (UNSW)Verified email at unsw.edu.au
