Process Monitoring under Closed-loop Control with Performance-relevant Full Decomposition of Slow Feature Analysis. - Jiale Zheng; Chunhui Zhao 001 (ASCC, 2019)

Incorporating Adjacent User Modeling into Session-based Recommendation with Graph Neural Networks. - Minghao Chen; Jiale Zheng (ICDM (Workshops), 2021)

Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring. - Jiale Zheng; Chunhui Zhao 001; Furong Gao (Comput. Chem. Eng., 2022)

Interval-Aware Probabilistic Slow Feature Analysis for Irregular Dynamic Process Monitoring With Missing Data. - Jiale Zheng; Xu Chen 045; Chunhui Zhao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Cluster-Aware Causal Discovery Framework for Root Cause Analysis of Base Station Alarms. - Ke Zhang; Xu Zhu; Jiale Zheng; Jie Cao; Keli Zhang; Lujia Pan (GLOBECOM (Workshops), 2024)

Full Decoupling High-Order Dynamic Mode Decomposition for Advanced Static and Dynamic Synergetic Fault Detection and Isolation. - Xu Chen 045; Jiale Zheng; Chunhui Zhao 001; Min Wu 002 (IEEE Trans Autom. Sci. Eng., 2024)

An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning. - Ruichu Cai; Xi Chen; Jie Qiao; Zijian Li; Yuequn Liu; Wei Chen; Keli Zhang; Jiale Zheng (CoRR, 2025)