Chen Liang

According to our database, Chen Liang authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

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

Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection.

Tianyu Mu, Hongzhi Wang, Chen Liang, Xinyue Shao

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

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

Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model.

Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang

Pattern Recognit., August, 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

2022

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model.

Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang

CoRR, 2022

2018

Battery Energy Storage Selection Based on a Novel Intermittent Wind Speed Model for Improving Power System Dynamic Reliability.

Chen Liang, Peng Wang, Xiaoqing Han, Wenping Qin, Yanbing Jia, Tiejiang Yuan

IEEE Trans. Smart Grid, 2018