| Spatio-temporal self-supervised learning for traffic flow prediction J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng Proceedings of the AAAI conference on artificial intelligence 37 (4), 4356-4364, 2023 | 59 | 2023 |
| STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction J Ji, J Wang, Z Jiang, J Jiang, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4048-4056, 2022 | 54 | 2022 |
| Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction Based on Potential Energy Fields J Ji, J Wang, Z Jiang, J Ma, H Zhang 2020 IEEE International Conference on Data Mining (ICDM), 1076-1081, 2020 | 20 | 2020 |
| Traffic flow prediction based on spatiotemporal potential energy fields J Wang, J Ji, Z Jiang, L Sun IEEE Transactions on Knowledge and Data Engineering, 2022 | 14 | 2022 |
| Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning J Ji, J Wang, J Wu, B Han, J Zhang, Y Zheng Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 10 | 2022 |
| High-Resolution Data on Human Behavior for Effective COVID-19 Policy-Making—Wuhan City, Hubei Province, China, January 1–February 29, 2020 J Wang, H Shi, J Ji, X Lin, H Tian China CDC weekly 5 (4), 76, 2023 | 4 | 2023 |
| AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction KH Hettige, J Ji, S Xiang, C Long, G Cong, J Wang arXiv preprint arXiv:2402.03784, 2024 | 1 | 2024 |
| Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling J Ji, W Zhang, J Wang, Y He, C Huang arXiv preprint arXiv:2311.12472, 2023 | 1 | 2023 |
| Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning J Ji, J Wang, Y Mou, C Long arXiv preprint arXiv:2310.10374, 2023 | 1 | 2023 |
| DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer Service Z Wu, L Wu, S Song, J Ji, B Zou, Z Li, X He Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
| AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction K Hirushini Hettige, J Ji, S Xiang, C Long, G Cong, J Wang arXiv e-prints, arXiv: 2402.03784, 2024 | | 2024 |
| Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning Z Wu, X Yu, M Chen, L Wu, J Ji, Z Li | | |
Jingyuan WangBeihang UniversityVerified email at buaa.edu.cn
