| Predicting multi-step citywide passenger demands using attention-based neural networks X Zhou, Y Shen, Y Zhu, L Huang Proceedings of the Eleventh ACM international conference on web search and …, 2018 | 181 | 2018 |
| Multi-level attention networks for multi-step citywide passenger demands prediction X Zhou, Y Shen, L Huang, T Zang, Y Zhu IEEE Transactions on Knowledge and Data Engineering 33 (5), 2096-2108, 2019 | 23 | 2019 |
| A road-aware neural network for multi-step vehicle trajectory prediction J Cui, X Zhou, Y Zhu, Y Shen Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 17 | 2018 |
| Revisiting flow information for traffic prediction X Zhou, Y Shen, L Huang arXiv preprint arXiv:1906.00560, 2019 | 9 | 2019 |
| A joint framework for identifying the type and arguments of scientific contribution W Chao, M Chen, X Zhou, Z Luo Scientometrics 128 (6), 3347-3376, 2023 | 6 | 2023 |
| FreqST: Exploiting frequency information in spatiotemporal modeling for traffic prediction X Zhou, Y Shen, L Huang 2020 IEEE International Conference on Data Mining (ICDM), 1442-1447, 2020 | 4 | 2020 |
| HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding Z Gong, X Zhou, W Yao, X Zheng, P Zhong IEEE Transactions on Geoscience and Remote Sensing, 2024 | 3 | 2024 |
| Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need J Wu, W Chao, X Zhou, Z Luo Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
| TRPN: Matrix Factorization Meets Recurrent Neural Network for Temporal Rating Prediction H Zhu, Y Shen, X Zhou Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019 …, 2019 | 2 | 2019 |
| MultiScale spectral–spatial convolutional transformer for hyperspectral image classification Z Gong, X Zhou, W Yao IET Image Processing 18 (13), 4328-4340, 2024 | 1 | 2024 |
| Deep intrinsic decomposition with adversarial learning for hyperspectral image classification Z Gong, J Qi, P Zhong, X Zhou, W Yao IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Context compression and extraction: Efficiency inference of large language models J Zhou, R Du, Y Tan, J Yang, Z Yang, W Luo, Z Luo, X Zhou, W Hu International Conference on Intelligent Computing, 221-232, 2024 | 1 | 2024 |
| What Makes a Charge? Identifying Charge-Discriminative Facts with Legal Elements X Luo, W Chao, X Zhou, L Wang, Z Luo CCF International Conference on Natural Language Processing and Chinese …, 2023 | 1 | 2023 |
| Correcting Factual Errors in LLMs via Inference Paths Based on Knowledge Graph W Ye, Q Zhang, X Zhou, W Hu, C Tian, J Cheng 2024 International Conference on Computational Linguistics and Natural …, 2024 | | 2024 |
| Incorporating Feature Interaction into Relation Contrastive Learning for Zero-shot Relation Extraction Z Gao, J Duan, X Zhou 2024 International Conference on Computational Linguistics and Natural …, 2024 | | 2024 |
| TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects Q Wu, W Chao, X Zhou, Z Luo Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
