Zheng Liang

According to our database, Zheng Liang authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

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

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

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