Zheng Liang

According to our database, Zheng Liang authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FedDict: Towards Practical Federated Dictionary-Based Time Series Classification.

Zhiyu Liang, Zheng Liang, Hongzhi Wang, Bo Zheng

IEEE Trans. Knowl. Data Eng., April, 2025

Revisiting Data Analysis with Pre-trained Foundation Models.

Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang

CoRR, January, 2025

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection.

Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching.

Yafeng Tang, Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu, Huan Hu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling.

Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

CBAClean:A Comprehensive System for Recommending Data Cleaning Solutions Through Cost-Benefit Analysis in Data Quality Management.

Xiaoou Ding, Hongbin Su, Zekai Qian, Wenxuan Cui, Siying Chen, Zheng Liang, Chen Wang, Hongzhi Wang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis.

Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng

Proc. VLDB Endow., August, 2024

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning.

Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Hyper-parameter Recommendation for Truth Discovery.

Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning.

Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

Proc. VLDB Endow., November, 2023

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning.

Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang

CoRR, 2023

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning.

Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

CoRR, 2023

UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning.

Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang

CoRR, 2023

TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection.

Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection.

Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao

Inf. Sci., 2022

Time Series Data Quality Enhancing Based on Pattern Alignment.

Jianping Huang, Hao Chen, Hongkai Wang, Jun Feng, Liangying Peng, Zheng Liang, Hongzhi Wang, Tianlan Fan, Tianren Yu

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

2021

Industrial time series determinative anomaly detection based on constraint hypergraph.

Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu

Knowl. Based Syst., 2021

Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data.

Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang

CoRR, 2021

2020

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network.

Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang

CoRR, 2020