| Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns Y Liang, Z Zhao, L Sun Transportation Research Part C: Emerging Technologies 143, 103826, 2022 | 21* | 2022 |
| Joint demand prediction for multimodal systems: A multi-task multi-relational spatiotemporal graph neural network approach Y Liang, G Huang, Z Zhao Transportation Research Part C: Emerging Technologies 140, 103731, 2022 | 16 | 2022 |
| Nettraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms Y Liang, Z Zhao IEEE Transactions on Intelligent Transportation Systems 23 (9), 14470-14481, 2021 | 12* | 2021 |
| Bike sharing demand prediction based on knowledge sharing across modes: A graph-based deep learning approach Y Liang, G Huang, Z Zhao 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| Spatial perspectives on coworking spaces and related practices in Beijing H Huang, Y Liu, Y Liang, D Vargas, L Zhang Built Environment 46 (1), 40-54, 2020 | 3 | 2020 |
| A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards Z Zhao, Y Liang Transportation Research Part C: Emerging Technologies 149, 104079, 2023 | 2* | 2023 |
| Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks Y Liang, G Huang, Z Zhao arXiv preprint arXiv:2211.08903, 2022 | 2 | 2022 |
| Modeling taxi cruising time based on multi-source data: a case study in Shanghai Y Liang, Z Zhao, X Zhang Transportation, 1-30, 2022 | 1 | 2022 |
| Understanding Spatiotemporal Dynamics of Market Competition Among Transportation Network Companies G Huang, Y Liang, Z Zhao Available at SSRN 4203695, 0 | 1 | |
| Deep trip generation with graph neural networks for bike sharing system expansion Y Liang, F Ding, G Huang, Z Zhao arXiv preprint arXiv:2303.11977, 2023 | | 2023 |
| POI DATA VERSUS LAND USE DATA, WHICH IS MORE EFFECTIVE IN MODELING THEFT CRIMES? J FENG, Y LIANG, QI HAO, KE XU, W QIU | | |
Zhan ZhaoAssistant Professor, The University of Hong Kong在 hku.hk 的电子邮件经过验证
