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ORCIDZheng Liang 0002
Person information
- affiliation: Harbin Institute of Technology, Harbin, China
Other persons with the same name
- Zheng Liang — disambiguation page
- Zheng Liang 0001
![[0000-0001-8234-5165]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8234-5165")
— Dalian Maritime University, Dalian, China - Zheng Liang 0003 — Peking University, Beijing, China
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2020 – today
- 2025
[j5]Zhiyu Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
FedDict: Towards Practical Federated Dictionary-Based Time Series Classification. IEEE Trans. Knowl. Data Eng. 37(4): 1785-1803 (2025)- [c8]Yafeng Tang, Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu, Huan Hu:
Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching. ICDE 2025: 1-15 - [c7]Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi:
Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling. ICDE 2025: 2281-2294 - [c6]Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang:
CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management. ICDE 2025: 4636-4639 - [c5]Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang:
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection. SIGMOD Conference Companion 2025: 175-178 - [i9]Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang:
Revisiting Data Analysis with Pre-trained Foundation Models. CoRR abs/2501.01631 (2025) - [i8]Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang:
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection. CoRR abs/2503.12478 (2025) - [i7]Yafeng Tang, Xiaoou Ding, Jianzhuo Du, Zishuo Yan, Zhuang Ma, Zheng Liang, Zekai Qian, Hongzhi Wang:
Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs. CoRR abs/2512.21915 (2025) - 2024
- [j4]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. Proc. VLDB Endow. 17(12): 4489-4492 (2024) - [c4]Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang:
Hyper-parameter Recommendation for Truth Discovery. DASFAA (3) 2024: 277-292 - [c3]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning. SIGMOD Conference Companion 2024: 480-483 - [i6]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. CoRR abs/2404.05057 (2024) - 2023
- [j3]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. Proc. VLDB Endow. 17(3): 386-399 (2023) - [c2]Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang:
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. ICDE 2023: 1032-1044 - [i5]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang:
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning. CoRR abs/2303.13804 (2023) - [i4]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR abs/2305.18888 (2023) - [i3]Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang:
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning. CoRR abs/2312.05698 (2023) - 2022
- [j2]Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao:
Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. Inf. Sci. 591: 344-364 (2022) - [c1]Jianping Huang, Hao Chen, Hongkai Wang, Jun Feng, Liangying Peng, Zheng Liang, Hongzhi Wang, Tianlan Fan, Tianren Yu:
Time Series Data Quality Enhancing Based on Pattern Alignment. DASFAA (Workshops) 2022: 363-375 - 2021
- [j1]Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu:
Industrial time series determinative anomaly detection based on constraint hypergraph. Knowl. Based Syst. 233: 107548 (2021) - [i2]Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang:
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data. CoRR abs/2101.01363 (2021) - 2020
- [i1]Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang:
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network. CoRR abs/2007.03254 (2020)
Coauthor Index
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