| Dl-traff: Survey and benchmark of deep learning models for urban traffic prediction R Jiang, D Yin, Z Wang, Y Wang, J Deng, H Liu, Z Cai, J Deng, X Song, ... Proceedings of the 30th ACM international conference on information …, 2021 | 112 | 2021 |
| St-norm: Spatial and temporal normalization for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 100 | 2021 |
| Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting H Liu, Z Dong, R Jiang, J Deng, J Deng, Q Chen, X Song Proceedings of the 32nd ACM international conference on information and …, 2023 | 39 | 2023 |
| A multi-view multi-task learning framework for multi-variate time series forecasting J Deng, X Chen, R Jiang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering, 2022 | 26 | 2022 |
| The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting J Deng, X Chen, Z Fan, R Jiang, X Song, IW Tsang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021 | 20 | 2021 |
| HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation Y Li, Z Fan, D Yin, R Jiang, J Deng, X Song World Wide Web 26 (4), 1625-1648, 2023 | 13 | 2023 |
| Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation X Chen, Y Zhang, J Deng, JY Jiang, W Wang Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 11 | 2023 |
| Heterogeneous hypergraph neural network for friend recommendation with human mobility Y Li, Z Fan, J Zhang, D Shi, T Xu, D Yin, J Deng, X Song Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting J Deng, X Chen, R Jiang, D Yin, Y Yang, X Song, IW Tsang IEEE Transactions on Knowledge and Data Engineering, 0 | 5* | |
| TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization J Deng, J Deng, D Yin, R Jiang, X Song ACM Transactions on Knowledge Discovery from Data 18 (1), 1-25, 2023 | 3 | 2023 |
| Learning Gaussian mixture representations for tensor time series forecasting J Deng, J Deng, R Jiang, X Song arXiv preprint arXiv:2306.00390, 2023 | 3 | 2023 |
| Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting J Deng, F Ye, Y Du, X Song, IW Tsang, H Xiong arXiv preprint arXiv:2401.11929, 2024 | 2* | 2024 |
| Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting H Gao, R Jiang, Z Dong, J Deng, X Song arXiv preprint arXiv:2312.00516, 2023 | 2 | 2023 |
| Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned D Yin, J Deng, S Ao, Z Li, H Xue, A Prabowo, R Jiang, X Song, F Salim arXiv preprint arXiv:2406.12709, 2024 | | 2024 |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting Z Dong, R Jiang, H Gao, H Liu, J Deng, Q Wen, X Song arXiv preprint arXiv:2405.10800, 2024 | | 2024 |
| Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning L Liu, S Wang, Y Liu, J Deng, S Liu Proceedings of the 14th Asia-Pacific Symposium on Internetware, 227-237, 2023 | | 2023 |
| Towards Adaptive, Scalable and Interpretable Spatial-Temporal Forecasting J Deng | | 2023 |
Xuan SongDean and Professor, School of Artificial Intelligence, Jilin University; SUSTech在 jlu.edu.cn 的电子邮件经过验证
