Publications

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CCF-A Conference Papers

A Polynomial Chaos Framework for Causal Discovery in Nonlinear Uncertain Systems CVPR 2026
Liang Cao*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), Denver, USA

Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions ICLR 2026
Liang Cao*
International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil

A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty AAAI 2026
Liang Cao*
The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore

Sparse Causal Latent Features for Robust Multimodal Learning under Distribution Shifts WWW 2026
Liang Cao, Weide Liu, Yan Qin, Zhenghua Chen, Zhuo Chen, Bhushan Gopaluni
Proceedings of the ACM Web Conference 2026 (WWW 26), Dubai, UAE

Journal Articles

Condition-Dependent Causal Discovery: A Polynomial Chaos Framework for Systems with Parametric Uncertainty Q1 Top
Liang Cao, Weide Liu, Yang Liu, Yan Qin
IEEE Transactions on Industrial Informatics, 2026 (IF=9.9)

Causal Discovery in Dynamic Industrial Systems Under Parametric Uncertainty: A Polynomial Chaos Approach Q1
Liang Cao, Weide Liu, Yan Qin
IEEE Transactions on Automation Science and Engineering, 2026 (IF=6.4)

Attack Detection for Cyber-Physical Systems Based on Causal Representation Q1 Top
Liang Cao, Youqing Wang, Yan Qin, Yankai Cao, Bhushan Gopaluni, Richard Braatz
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026 (IF=8.7)

Causal Structure Discovery for Industrial Process Monitoring: A Novel Approach for Nonlinear Systems with Complex Noise Q1 Top
Liang Cao, Jianping Su, Yi Luo
IEEE Internet of Things Journal, 2026 (IF=8.9)

Interpretable and Reliable Soft Sensor Development in Industry 5.0 Q1 Top
Liang Cao, Jianping Su, Fan Yang, Yankai Cao, R Bhushan Gopaluni
IEEE/CAA Journal of Automatica Sinica, 2026 (IF=19.2)

A Systematic Framework for Data Quality Assessment in Industrial Process Monitoring Q1
Liang Cao, Yixiu Wang, Jianping Su
IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2026 (IF=4)

Slow-fast Dynamics-Assisted Koopman Network for Anomaly Detection in Nonstationary Industrial Processes with Time-lagged Variables Q1
Yan Qin, Shan Yin, Wenbin Qian, Wei Dai, Liang Cao*
Journal of Process Control, 2026 (IF=3.3)

False Data Injection Attacks Against UAV Battery State of Health Estimation with A Capacity-informed Latent Diffusion Model Q1
Yan Qin, Zhiqing Luo, Yunhong Che, Liang Cao*
Green Energy and Intelligent Transportation, 2026 (IF=16.4)

Ensemble Domain Adaptation with Constructive Incremental Learning for Fault Diagnosis of UAV Actuators Q1 Top
Jiang Liu, Wei Dai, Liang Cao, Yan Qin, Chau Yuen
IEEE Internet of Things Journal, 2026 (IF=8.9)

Causal Representation Learning for Trustworthy Industrial Process Modeling Q1 Top
Liang Cao, Fan Yang, Youqing Wang
IEEE/CAA Journal of Automatica Sinica, 2025 (IF=19.2)

Machine Learning for Real-time Green Carbon Dioxide Tracking in Refinery Processes Q1 Top
Liang Cao, Jianping Su, Jack Saddler, Yankai Cao, Yixiu Wang, et al.
Renewable and Sustainable Energy Reviews, 115417, 2025 (IF=16.3)

Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors Q1
Liang Cao, Jingyi Wang, Jianping Su, Yi Luo, Yankai Cao, Richard D. Braatz, R Bhushan Gopaluni
IEEE Transactions on Instrumentation and Measurement, 74, 1-17, 2025 (IF=5.9)

Physics-informed Dynamic Hybrid Modeling for Real-time Renewable CO2 Tracking in Refinery Co-processing Q1 Top
Liang Cao, Jianping Su, Yang Liu, Jin Liu
ISA Transactions, 2025 (IF=6.5)

A Novel Automated Soft Sensor Design Tool for Industrial Applications based on Machine Learning Q1
Liang Cao, Jianping Su, Emilio Conde, Lim Siang, Yankai Cao, Bhushan Gopaluni
Control Engineering Practice, 160, 106322, 2025 (IF=4.6)

Data-Driven Dynamic Modeling of Renewable CO2 Emissions in Multimode Industrial Co-processing Processes Q1
Liang Cao, Jianping Su, Yankai Cao, Lim C. Siang, Gary Lee, Jin Li, R. Bhushan Gopaluni
Control Engineering Practice, 164, 106424, 2025 (IF=4.6)

Adaptive Process Monitoring for Multimode Industrial Processes through Machine Learning Q1
Liang Cao, Xiaolu Ji, Yankai Cao, R Bhushan Gopaluni
IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 6(4), 1819-1827, 2025 (IF=4)

Networking systems for video anomaly detection: A tutorial and survey Q1 Top
Jing Liu, Yang Liu, Jieyu Lin, Jielin Li, Liang Cao, et al.
ACM Computing Surveys, 57(10), 1-37, 2025 (IF=28)

Real-time Tracking of Renewable Carbon Content with AI-aided Approaches during Co-processing of Biofeedstocks Q1 Top
Liang Cao, Jianping Su, Jack Saddler, Yankai Cao, Yixiu Wang, et al.
Applied Energy, 360, 122815, 2024 (IF=11)

Data-driven battery capacity estimation using support vector regression and model bagging under fast-charging conditions
Yixiu Wang, Qiyue Luo, Liang Cao, et al.
The Canadian Journal of Chemical Engineering, 102(10), 3322-3332, 2024 (Issue Highlights)

Long short-term memory network with transfer learning for lithium-ion battery capacity fade and cycle life prediction Q1 Top
Yixiu Wang, Jiangong Zhu, Liang Cao, Yankai Cao, Bhushan Gopaluni
Applied Energy, 350, 121660, 2023 (IF=11)

Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy Q1
Yi Luo, Bhushan Gopaluni, Liang Cao, Yongjian Wang, Jian Cheng
Control Engineering Practice, 137, 105534, 2023 (IF=4.6)

False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis Q1
Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, Wenkai Hua, Liang Cao, Min Wu
Control Engineering Practice, 133, 105457, 2023 (IF=4.6)

Causal Discovery Based on Observational Data and Process Knowledge in Industrial Processes Q1
Liang Cao, Jianping Su, Yixiu Wang, Yankai Cao, Lim C. Siang, Jin Li, Jack Saddler, Bhushan Gopaluni
Industrial & Engineering Chemistry Research, 61, 14272-14283, 2022 (IF=3.9)

Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC) Q1
Jianping Su, Liang Cao (co-first), Gary Lee, et al.
Sustainable Energy and Fuels, 6, 5600-5607, 2022 (IF=4.1)

Stable soft sensor modelling based on causality analysis Q1
Feng Yu, Qiluo Xiong, Liang Cao, Fan Yang
Control Engineering Practice, 122, 105109, 2022 (IF=4.6)

Determining the amount of 'green' coke generated when co-processing lipids commercially by fluid catalytic cracking
Jianping Su, Liang Cao, Gary Lee, et al.
Biofuels, Bioproducts and Biorefining, 16(2), 325-334, 2022

Challenges in determining the renewable content of the final fuels after co-processing biogenic feedstocks in the FCC Q1 Top
Jianping Su, Liang Cao, Gary Lee, et al.
Fuel, 294, 120526, 2021 (IF=7.5)

Data-driven dynamic inferential sensors based on causality analysis Q1
Liang Cao, Feng Yu, Fan Yang, Yankai Cao, R Bhushan Gopaluni
Control Engineering Practice, 104, 104626, 2020 (IF=4.6)

A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy Q1
Yi Luo, Bhushan Gopaluni, Yuan Xu, Liang Cao, Qun-Xiong Zhu
Industrial & Engineering Chemistry Research, 59(18), 8661-8673, 2020 (IF=3.8)

Accelerated multiple alarm flood sequence alignment for abnormality pattern mining Q1
Shiqi Lai, Fan Yang, Tongwen Chen, Liang Cao
Journal of Process Control, 82, 44-57, 2019 (IF=3.3)

Existence and design of observers for two-dimensional linear systems with multiple channel faults
Liang Cao, Dong Zhao, Youqing Wang, Steven X Ding
Multidimensional Systems and Signal Processing, 30(2), 641-660, 2019

Fault-tolerant control for nonlinear systems with multiple intermittent faults and time-varying delays
Liang Cao, Youqing Wang
International Journal of Control, Automation, and Systems, 16(2), 609-621, 2018

Simultaneous estimation of multiple channel faults for two-dimensional linear systems Q1
Liang Cao, Dong Zhao, Youqing Wang
International Journal of Systems Science, 48(13), 2838-2849, 2017

Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators Q1
Liang Cao, Yuan Tao, Youqing Wang, Juan Li, Biao Huang
International Journal of Systems Science, 4, 302-315, 2016

Other Conference Papers

Interpretable Industrial Soft Sensor Design Based on Informer and SHAP
Liang Cao, Xiaolu Ji, Yankai Cao, Yi Luo, et al.
The 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), Toronto, Canada

Stable Soft Sensor Modeling for Industrial Systems
Liang Cao, Yankai Cao, R Bhushan Gopaluni
2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), St. Louis, USA

Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
Liang Cao, Xiaolu Ji, Yankai Cao, et al.
IFAC World Congress 2023, Yokohama, Japan

Soft Sensor Change Point Detection and Root Cause Analysis
Liang Cao, R Bhushan Gopaluni, Lim C Siang, Yankai Cao, Jin Li
SICE Annual Conference 2022, Kumamoto, Japan · Finalists of Young Author's Award

Feature based causality analysis and its applications in soft sensor modelling
Feng Yu, Liang Cao, Weiyang Li, Fan Yang, Chao Shang
IFAC World Congress 2020, Berlin, Germany

Integrated fault/state estimation for two-dimensional linear time-varying systems
Liang Cao, Dong Zhao, Youqing Wang
Chinese Automation Congress (CAC) 2017, Jinan, China

Asymptotically stable observer for two-dimensional systems with multiple-channel faults
Liang Cao, Changqing Liu, Youqing Wang
36th Chinese Control Conference (CCC) 2017, Dalian, China

Fault-tolerant control of stochastic systems with intermittent faults and time-varying delays
Liang Cao, Youqing Wang, Lina Xu
35th Chinese Control Conference (CCC) 2016, Chengdu, China

Fault estimation and compensation for two-dimensional linear systems with actuator/sensor faults
Chao Wu, Liang Cao, Youqing Wang
37th Chinese Control Conference (CCC) 2018, Wuhan, China

Book Chapter

Modelling of Chemical Process Systems — Chapter 11: Large-scale Process Models Using Deep Learning
Bhushan Gopaluni, Liang Cao, Yankai Cao
Elsevier, 2023. ISBN: 9780128238691

Patent

Root Cause Analysis Method, System and Computer Storage Medium for Communication System Faults
Han Jing, Yang Fan, Liang Cao, etc.
Patent No.: ZL201910975121.0, 2021