Battery Energy Storage Selection Based on a Novel Intermittent Wind Speed Model for Improving Power System Dynamic Reliability. - Chen Liang 002; Peng Wang 017; Xiaoqing Han; Wenping Qin; Yanbing Jia; Tiejiang Yuan (IEEE Trans. Smart Grid, 2018)

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model. - Chunnan Wang; Chen Liang 002; Xiang Chen 019; Hongzhi Wang 001 (CoRR, 2022)

UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning. - Zhiyu Liang; Chen Liang 002; Zheng Liang 002; Hongzhi Wang 001 (CoRR, 2023)

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. - Zhiyu Liang; Jianfeng Zhang; Chen Liang 002; Hongzhi Wang 001; Zheng Liang 002; Lujia Pan (CoRR, 2023)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning. - Chen Liang 002; Donghua Yang; Zhiyu Liang; Hongzhi Wang 001; Zheng Liang 002; Xiyang Zhang 002; Jianfeng Huang 002 (CoRR, 2023)

Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model. - Chunnan Wang; Chen Liang 002; Xiang Chen 019; Hongzhi Wang 001 (Pattern Recognit., 2023)

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. - Zhiyu Liang; Jianfeng Zhang; Chen Liang 002; Hongzhi Wang 001; Zheng Liang 002; Lujia Pan (Proc. VLDB Endow., 2023)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning. - Zhiyu Liang; Chen Liang 002; Zheng Liang 002; Hongzhi Wang 001; Bo Zheng (SIGMOD Conference Companion, 2024)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. - Zhiyu Liang; Chen Liang 002; Zheng Liang 002; Hongzhi Wang 001; Bo Zheng (Proc. VLDB Endow., 2024)

Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling. - Zheng Liang 002; Hongzhi Wang 001; Xiaoou Ding; Zhiyu Liang; Chen Liang 002; Yafeng Tang; Jianzhong Qi 001 (ICDE, 2025)

Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection. - Tianyu Mu; Hongzhi Wang 001; Chen Liang 002; Xinyue Shao (ICDE, 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 002; Chen Liang 002; Bo Zheng; Shi Qiu 006; Jin Wang 038; Hongzhi Wang 001 (SIGMOD Conference Companion, 2025)

Revisiting Data Analysis with Pre-trained Foundation Models. - Chen Liang 002; Donghua Yang; Zheng Liang 002; Zhiyu Liang; Tianle Zhang; Boyu Xiao; Yuqing Yang; Wenqi Wang; Hongzhi Wang 001 (CoRR, 2025)