Zheng Liang

According to our database, Zheng Liang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

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

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