| Todynet: temporal dynamic graph neural network for multivariate time series classification H Liu, D Yang, X Liu, X Chen, Z Liang, H Wang, Y Cui, J Gu Information Sciences 677, 120914, 2024 | 119 | 2024 |
| Efficient class-specific shapelets learning for interpretable time series classification Z Liang, H Wang Information Sciences 570, 428-450, 2021 | 34 | 2021 |
| FedTSC: a secure federated learning system for interpretable time series classification Z Liang, H Wang Proceedings of the VLDB Endowment 15 (12), 3686-3689, 2022 | 14 | 2022 |
| Tsc-automl: Meta-learning for automatic time series classification algorithm selection T Mu, H Wang, S Zheng, Z Liang, C Wang, X Shao, Z Liang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1032-1044, 2023 | 12 | 2023 |
| FedST: secure federated shapelet transformation for time series classification Z Liang, H Wang The VLDB Journal, 1-25, 2024 | 11* | 2024 |
| A Shapelet-Based Framework for Unsupervised Multivariate Time Series Representation Learning Z Liang, J Zhang, C Liang, H Wang, Z Liang, L Pan Proceedings of the VLDB Endowment 17 (3), 386-399, 2023 | 11 | 2023 |
| Contrastive shapelet learning for unsupervised multivariate time series representation learning Z Liang, J Zhang, C Liang, H Wang, Z Liang, L Pan arXiv preprint arXiv:2305.18888, 2023 | 7 | 2023 |
| Timecsl: Unsupervised contrastive learning of general shapelets for explorable time series analysis Z Liang, C Liang, Z Liang, H Wang, B Zheng Proceedings of the VLDB Endowment 17 (12), 4489-4492, 2024 | 5 | 2024 |
| UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning Z Liang, C Liang, Z Liang, H Wang, B Zheng Companion of the 2024 International Conference on Management of Data (SIGMOD …, 2024 | 5 | 2024 |
| 工业大数据分析综述: 模型与算法 王宏志， 梁志宇， 李建中， 高宏 大数据 4 (5), 62-79, 2018 | 4 | 2018 |
| Attention-guided triplet framework for synthetic data generation and semantic segmentation of railway fasteners under data scarcity and disparity Q Zaheer, M Malik, SMAH Shah, C Ai, H Wang, Z Liang, S Qiu Applied Soft Computing, 113784, 2025 | 3 | 2025 |
| Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling Z Liang, H Wang, X Ding, Z Liang, C Liang, Y Tang, J Qi 2025 IEEE 41st International Conference on Data Engineering (ICDE), 2281-2294, 2025 | 2 | 2025 |
| An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem H Liu, X Liu, D Yang, H Wang, Y Long, M Ji, D Miao, Z Liang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning C Liang, D Yang, Z Liang, H Wang, Z Liang, X Zhang, J Huang arXiv preprint arXiv:2312.05698, 2023 | 2 | 2023 |
| FedDict: Towards Practical Federated Dictionary-Based Time Series Classification Z Liang, Z Liang, H Wang, B Zheng IEEE Transactions on Knowledge and Data Engineering, 2025 | 1 | 2025 |
| Revisiting Data Analysis with Pre-trained Foundation Models C Liang, D Yang, Z Liang, Z Liang, T Zhang, B Xiao, Y Yang, W Wang, ... arXiv preprint arXiv:2501.01631, 2025 | 1 | 2025 |
| 制造业中的大数据分析技术应用研究综述 梁志宇， 王宏志， 李建中， 高宏 机械 45 (6), 1-13, 2018 | 1 | 2018 |
| Revisiting data analysis with Pre-trained foundation models: C. Liang et al. C Liang, D Yang, Z Liang, Z Liang, T Zhang, B Xiao, Y Yang, W Wang, ... The VLDB Journal 35 (1), 10, 2026 | | 2026 |
| SAM: A Stability-Aware Cache Manager for Multi-Tenant Embedded Databases H Zhang, D Zuo, Y Yan, Z Liang, H Wang arXiv preprint arXiv:2507.22701, 2025 | | 2025 |
| KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection Z Liang, D Cai, C Zhang, Z Liang, C Liang, B Zheng, S Qiu, J Wang, ... Companion of the 2025 International Conference on Management of Data, 175-178, 2025 | | 2025 |
