| Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection T Mu, H Wang, C Wang, Z Liang, X Shao Information Sciences 591, 344-364, 2022 | 28 | 2022 |
| Industrial time series determinative anomaly detection based on constraint hypergraph Z Liang, H Wang, X Ding, T Mu Knowledge-Based Systems 233, 107548, 2021 | 22 | 2021 |
| 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 |
| A shapelet-based framework 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 | 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 |
| Sequential or jumping: Context-adaptive response generation for open-domain dialogue systems Y Ling, Z Liang, T Wang, F Cai, H Chen Applied Intelligence 53 (9), 11251-11266, 2023 | 6 | 2023 |
| 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, 480-483, 2024 | 5 | 2024 |
| TimeCSL: Unsupervised contrastive learning of general shapelets for explorable time series analysis Z Liang, C Liang, Z Liang, H Wang, B Zheng arXiv preprint arXiv:2404.05057, 2024 | 5 | 2024 |
| 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 |
| 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 |
| AlphaZero Gomoku W Liang, C Yu, B Whiteaker, I Huh, H Shao, Y Liang arXiv preprint arXiv:2309.01294, 2023 | 2 | 2023 |
| Time Series Data Quality Enhancing Based on Pattern Alignment J Huang, H Chen, H Wang, J Feng, L Peng, Z Liang, H Wang, T Fan, T Yu International Conference on Database Systems for Advanced Applications, 363-375, 2022 | 2 | 2022 |
| 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 |
| Hyper-parameter Recommendation for Truth Discovery S Chen, X Ding, Z Liang, Y Tang, H Wang International Conference on Database Systems for Advanced Applications, 277-292, 2024 | 1 | 2024 |
| 预训练语言模型实体匹配的可解释性 梁峥， 王宏志， 戴加佳， 邵心玥， 丁小欧， 穆添愉 软件学报 34 (3), 1087-1108, 2022 | 1 | 2022 |
| Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network T Mu, H Wang, C Wang, Z Liang arXiv preprint arXiv:2007.03254, 2020 | 1 | 2020 |
| 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 |
| Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs Y Tang, X Ding, J Du, Z Yan, Z Ma, Z Liang, Z Qian, H Wang arXiv preprint arXiv:2512.21915, 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 |
Hongzhi Wang (王宏志)Harbin Intitute of TechnologyVerified email at hit.edu.cn
