| AirFormer: Predicting Nationwide Air Quality in China with Transformers Y Liang, Y Xia, S Ke, Y Wang, Q Wen, J Zhang, Y Zheng, R Zimmermann Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14329 …, 2022 | 50 | 2022 |
| Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models H Wen, Y Lin, Y Xia, H Wan, R Zimmermann, Y Liang ACM SIGSPATIAL 2023, 2023 | 34 | 2023 |
| 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, 2023 | 29 | 2023 |
| The impact of traffic on equality of urban healthcare service accessibility: A case study in Wuhan, China Y Xia, H Chen, C Zuo, N Zhang Sustainable Cities and Society 86, 104130, 2022 | 26 | 2022 |
| Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Y Xia, Y Liang, H Wen, X Liu, K Wang, Z Zhou, R Zimmermann Advances in Neural Information Processing Systems 36, 2023 | 23 | 2023 |
| A Random Effect Bayesian Neural Network (RE-BNN) for travel mode choice analysis across multiple regions Y Xia, H Chen, R Zimmermann Travel behaviour and society 30, 118-134, 2023 | 8 | 2023 |
| Lade: The first comprehensive last-mile delivery dataset from industry L Wu, H Wen, H Hu, X Mao, Y Xia, E Shan, J Zhen, J Lou, Y Liang, L Yang, ... arXiv preprint arXiv:2306.10675, 2023 | 3 | 2023 |
| DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting H Wu, H Wen, G Zhang, Y Xia, K Wang, Y Liang, Y Zheng, K Wang arXiv preprint arXiv:2403.02914, 2024 | 1 | 2024 |
| Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach H Zhang, Y Xia, S Zhong, K Wang, Z Tong, Q Wen, R Zimmermann, ... arXiv preprint arXiv:2405.18910, 2024 | | 2024 |
| Spatio-Temporal Field Neural Networks for Air Quality Inference Y Feng, Q Wang, Y Xia, J Huang, S Zhong, K Wang, S Cheng, Y Liang arXiv preprint arXiv:2403.02354, 2024 | | 2024 |
| Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Y Xia, R Yu, Y Liang, X Bresson, X Wang, R Zimmermann arXiv preprint arXiv:2401.09953, 2024 | | 2024 |
| Joint prediction of travel mode choice and purpose from travel surveys: A multitask deep learning approach H Bei, H Chen, L Li, X Gao, Y Xia, Y Sun Travel Behaviour and Society 33, 100625, 2023 | | 2023 |
Roger ZimmermannProfessor of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
