| Adaptive graph convolutional recurrent network for traffic forecasting L Bai, L Yao, C Li, X Wang, C Wang Advances in Neural Information Processing Systems 33, 17804-17815, 2020 | 856 | 2020 |
| On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China Z Yang, C Li, J Jiao, W Liu, F Zhang Transport Policy 99, 20-30, 2020 | 39 | 2020 |
| 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 | 36 | 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 | 29 | 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 | 28 | 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 | 23 | 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 | 21 | 2021 |
| Passenger demographic attributes prediction for human-centered public transport C Li, L Bai, W Liu, L Yao, ST Waller Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 8 | 2019 |
| A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications C Li, L Bai, L Yao, ST Waller, W Liu Transportmetrica B: Transport Dynamics 11 (1), 1095-1135, 2023 | 6 | 2023 |
| Mobility irregularity detection with smart transit card data X Wang, L Yao, W Liu, C Li, L Bai, ST Waller Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 4 | 2020 |
| Unsupervised Knowledge Adaptation for Passenger Demand Forecasting C Li, L Bai, W Liu, L Yao, ST Waller arXiv preprint arXiv:2206.04053, 2022 | 1 | 2022 |
| Learning and managing stochastic network traffic dynamics: an iterative and interactive approach Q He, M Ma, C Li, W Liu Transportmetrica B: Transport Dynamics 12 (1), 2303050, 2024 | | 2024 |
| Multimodal Transport Demand Forecasting via Federated Learning C Li, W Liu IEEE Transactions on Intelligent Transportation Systems, 2023 | | 2023 |
| Urban Mobility Analytics: Understanding, Inference and Forecasting C Li UNSW Sydney, 2022 | | 2022 |
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesПотвърден имейл адрес: csiro.au
