Chen Liang

18 papers A* 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Nearly Optimal Bayesian Inference for Structural Missingness.
CoRR
Chen Liang, Donghua Yang, Yutong Zhao, Tianle Zhang, Shenghang Zhou, Zhiyu Liang, Hengtong Zhang, Hongzhi Wang, Ziqi Li, Xiyang Zhang, Zheng Liang, Yifei Li
2026 J jnl
Revisiting data analysis with Pre-trained foundation models.
VLDB J.
Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang
2025 J jnl
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method.
CoRR
Xiyang Zhang, Chen Liang, Haoxuan Qiu, Hongzhi Wang
2025 A* conf
Auto-TSF: Towards Proxy-Model-Based Meta-Learning for Automatic Time Series Forecasting Algorithm Selection.
ICDE
Tianyu Mu, Hongzhi Wang, Chen Liang, Xinyue Shao
2025 — conf
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection.
SIGMOD Conference Companion
Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang
2025 J jnl
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection.
CoRR
Zhiyu Liang, Dongrui Cai, Chenyuan Zhang, Zheng Liang, Chen Liang, Bo Zheng, Shi Qiu, Jin Wang, Hongzhi Wang
2025 J jnl
Revisiting Data Analysis with Pre-trained Foundation Models.
CoRR
Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang
2025 A* conf
Tailoring the Shapley Value for In-Context Example Selection Towards Data Wrangling.
ICDE
Zheng Liang, Hongzhi Wang, Xiaoou Ding, Zhiyu Liang, Chen Liang, Yafeng Tang, Jianzhong Qi
2024 J jnl
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis.
CoRR
Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng
2024 J jnl
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis.
Proc. VLDB Endow.
Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng
2024 — conf
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning.
SIGMOD Conference Companion
Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng
2023 J jnl
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning.
Proc. VLDB Endow.
Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
2023 J jnl
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning.
CoRR
Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan
2023 J jnl
Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model.
Pattern Recognit.
Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang
2023 J jnl
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning.
CoRR
Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang
2023 J jnl
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning.
CoRR
Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang
2022 J jnl
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model.
CoRR
Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang
2018 J jnl
Battery Energy Storage Selection Based on a Novel Intermittent Wind Speed Model for Improving Power System Dynamic Reliability.
IEEE Trans. Smart Grid
Chen Liang, Peng Wang, Xiaoqing Han, Wenping Qin, Yanbing Jia, Tiejiang Yuan