Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network. - Tianyu Mu; Hongzhi Wang 001; Chunnan Wang; Zheng Liang 002 (CoRR, 2020)

Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data. - Xiaoou Ding; Hongzhi Wang 001; Chen Wang; Zijue Li; Zheng Liang 002 (CoRR, 2021)

Industrial time series determinative anomaly detection based on constraint hypergraph. - Zheng Liang 002; Hongzhi Wang 001; Xiaoou Ding; Tianyu Mu (Knowl. Based Syst., 2021)

Time Series Data Quality Enhancing Based on Pattern Alignment. - Jianping Huang; Hao Chen; Hongkai Wang; Jun Feng; Liangying Peng; Zheng Liang 002; Hongzhi Wang 001; Tianlan Fan; Tianren Yu (DASFAA (Workshops), 2022)

Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. - Tianyu Mu; Hongzhi Wang 001; Chunnan Wang; Zheng Liang 002; Xinyue Shao (Inf. Sci., 2022)

TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. - Tianyu Mu; Hongzhi Wang 001; Shenghe Zheng; Zhiyu Liang; Chunnan Wang; Xinyue Shao; Zheng Liang 002 (ICDE, 2023)

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)

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)

Hyper-parameter Recommendation for Truth Discovery. - Siying Chen; Xiaoou Ding; Zheng Liang 002; Yafeng Tang; Hongzhi Wang 001 (DASFAA (3), 2024)

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)

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 002; Chen Wang; Hongzhi Wang 001 (ICDE, 2025)

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)

Description-Similarity Rules: Towards Flexible Feature Engineering for Entity Matching. - Yafeng Tang; Zheng Liang 002; Hongzhi Wang 001; Xiaoou Ding; Tianyu Mu; Huan Hu (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)

FedDict: Towards Practical Federated Dictionary-Based Time Series Classification. - Zhiyu Liang; Zheng Liang 002; Hongzhi Wang 001; Bo Zheng (IEEE Trans. Knowl. Data Eng., 2025)