| Urban traffic prediction from spatio-temporal data using deep meta learning Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 588 | 2019 |
| Geoman: Multi-level attention networks for geo-sensory time series prediction. Y Liang, S Ke, J Zhang, X Yi, Y Zheng IJCAI 2018, 3428-3434, 2018 | 579 | 2018 |
| Time-llm: Time series forecasting by reprogramming large language models M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ... ICLR 2024, 2023 | 406 | 2023 |
| Predicting citywide crowd flows in irregular regions using multi-view graph convolutional networks J Sun, J Zhang, Q Li, X Yi, Y Liang, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (5), 2348-2359, 2020 | 240 | 2020 |
| Urban water quality prediction based on multi-task multi-view learning Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum Proceedings of the 25th international joint conference on artificial …, 2016 | 240 | 2016 |
| Spatio-temporal graph neural networks for predictive learning in urban computing: A survey G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 229 | 2023 |
| Federated forest Y Liu, Y Liu, Z Liu, Y Liang, C Meng, J Zhang, Y Zheng IEEE Transactions on Big Data 8 (3), 843-854, 2020 | 210 | 2020 |
| Mixup for node and graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 3663-3674, 2021 | 207 | 2021 |
| Nodeaug: Semi-supervised node classification with data augmentation Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 166 | 2020 |
| Spatio-temporal meta learning for urban traffic prediction Z Pan, W Zhang, Y Liang, W Zhang, Y Yu, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (3), 1462-1476, 2020 | 145 | 2020 |
| Urbanfm: Inferring fine-grained urban flows Y Liang, K Ouyang, L Jing, S Ruan, Y Liu, J Zhang, DS Rosenblum, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 145 | 2019 |
| Directed graph convolutional network Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim arXiv preprint arXiv:2004.13970, 2020 | 135 | 2020 |
| Self-supervised learning for time series analysis: Taxonomy, progress, and prospects K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 124 | 2024 |
| Multi-behavior hypergraph-enhanced transformer for sequential recommendation Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 123 | 2022 |
| Large models for time series and spatio-temporal data: A survey and outlook M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ... arXiv preprint arXiv:2310.10196, 2023 | 110 | 2023 |
| 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 …, 2023 | 107 | 2023 |
| Digraph inception convolutional networks Z Tong, Y Liang, C Sun, X Li, D Rosenblum, A Lim Advances in neural information processing systems 33, 17907-17918, 2020 | 106 | 2020 |
| Autost: Efficient neural architecture search for spatio-temporal prediction T Li, J Zhang, K Bao, Y Liang, Y Li, Y Zheng Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 101 | 2020 |
| Fine-grained urban flow prediction Y Liang, K Ouyang, J Sun, Y Wang, J Zhang, Y Zheng, D Rosenblum, ... Proceedings of the Web Conference 2021, 1833-1845, 2021 | 90 | 2021 |
| AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱ Z Pan, S Ke, X Yang, Y Liang, Y Yu, J Zhang, Y Zheng Proceedings of the Web Conference 2021, 1846-1855, 2021 | 90 | 2021 |
Roger ZimmermannProfessor of Computer Science, National University of Singapore確認したメール アドレス: comp.nus.edu.sg