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Liang Cao (曹亮)
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publications
High-order iterative learning fault-tolerant control for batch processes with iteration-varying sensor faults
Published in 2016 35th Chinese Control Conference (CCC), 2016
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Fault-tolerant control of stochastic systems with intermittent faults and time-varying delays
Published in 2016 35th Chinese Control Conference (CCC), 2016
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Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators
Published in International Journal of Systems Science, 2017
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Asymptotically stable observer for two-dimensional systems with multiple-channel faults
Published in 2017 36th Chinese Control Conference (CCC), 2017
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Simultaneous estimation of multiple channel faults for two-dimensional linear systems
Published in International Journal of Systems Science, 2017
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Integrated fault/state estimation for two-dimensional linear time-varying systems
Published in 2017 Chinese Automation Congress (CAC), 2017
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Fault-tolerant control for nonlinear systems with multiple intermittent faults and time-varying delays
Published in International Journal of Control, Automation, and Systems, 2018
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Fault estimation and compensation for two-dimensional linear systems with actuator/sensor faults
Published in 2018 37th Chinese Control Conference (CCC), 2018
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Existence and design of observers for two-dimensional linear systems with multiple channel faults
Published in Multidimensional Systems and Signal Processing, 2019
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Accelerated multiple alarm flood sequence alignment for abnormality pattern mining
Published in Journal of Process Control, 2019
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Feature based causality analysis and its applications in soft sensor modeling
Published in IFAC-PapersOnLine, 2020
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A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy
Published in Industrial & Engineering Chemistry Research, 2020
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Data-driven dynamic inferential sensors based on causality analysis
Published in Control Engineering Practice, 2020
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Challenges in determining the renewable content of the final fuels after co-processing biogenic feedstocks in the fluid catalytic cracker (FCC) of a commercial oil refinery
Published in Fuel, 2021
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Determining the amount of ‘green’ coke generated when co-processing lipids commercially by fluid catalytic cracking
Published in Biofuels, Bioproducts and Biorefining, 2022
Recommended citation: Jianping Su, Liang Cao, Gary Lee, Bhushan Gopaluni, Don O'Connor, Susan van Dyk, Robert Pinchuk, Jack Saddler. Biofuels, Bioproducts and Biorefining, 16(2), 325-334, 2022. Q2 (IF=2.9)
Stable soft sensor modelling based on causality analysis
Published in Control Engineering Practice, 2022
Recommended citation: Feng Yu, Qiluo Xiong, Liang Cao, Fan Yang. CEP, 122, 105109, 2022. Q1 (IF=4.6)
Soft Sensor Change Point Detection and Root Cause Analysis
Published in Society of Instrument and Control Engineers (SICE) Annual Conference 2022, 2022
Recommended citation: Liang Cao, R Bhushan Gopaluni, Lim C Siang, Yankai Cao, Jin Li. SICE 2022, Kumamoto, Japan. Finalists of SICE Annual Conference Young Author's Award.
Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC)
Published in Sustainable Energy and Fuels, 2022
Recommended citation: Jianping Su, Liang Cao, Gary Lee, Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Susan van Dyk, Robert Pinchuk, Jack Saddler. Sustainable Energy and Fuels, 6, 5600-5607, 2022. Co-first author. Q1 (IF=4.1)
Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy
Published in Control Engineering Practice, 2023
Recommended citation: Yi Luo, Bhushan Gopaluni, Liang Cao, Yongjian Wang, Jian Cheng. CEP, 137, 105534, 2023. Q1 (IF=4.6)
False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis
Published in Control Engineering Practice, 2023
Recommended citation: Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, Wenkai Hua, Liang Cao, Min Wu. CEP, 133, 105457, 2023. Q1 (IF=4.6)
Long short-term memory network with transfer learning for lithium-ion battery capacity fade and cycle life prediction
Published in Applied Energy, 2023
Recommended citation: Yixiu Wang, Jiangong Zhu, Liang Cao, Yankai Cao, Bhushan Gopaluni. Applied Energy, 350, 121660, 2023. Q1 Top (IF=11)
Stable Soft Sensor Modeling for Industrial Systems
Published in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), 2024
Recommended citation: Liang Cao, Yankai Cao, R Bhushan Gopaluni. ICPS 2024, St. Louis, MO, USA.
Real-time Tracking of Renewable Carbon Content with AI-aided Approaches during Co-processing of Biofeedstocks
Published in Applied Energy, 2024
Recommended citation: Liang Cao, Jianping Su, Jack Saddler, Yankai Cao, Yixiu Wang, Gary Lee, Lim C Siang, Robert Pinchuk, Jin Li, R Bhushan Gopaluni. Applied Energy, 360, 122815, 2024. Q1 Top (IF=11)
Interpretable Industrial Soft Sensor Design Based on Informer and SHAP
Published in The 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), 2024
Recommended citation: Liang Cao, Xiaolu Ji, Yankai Cao, Yi Luo, Yixiu Wang, Lim C. Siang, Jin Li, R. Bhushan Gopaluni. ADCHEM 2024, Toronto, Canada.
Data-driven battery capacity estimation using support vector regression and model bagging under fast-charging conditions
Published in The Canadian Journal of Chemical Engineering, 2024
Recommended citation: Yixiu Wang, Qiyue Luo, Liang Cao, Arpan Seth, Jianfeng Liu, Bhushan Gopaluni, Yankai Cao. CJChE, 102(10), 3322-3332, 2024. Q2 Issue Highlights (IF=1.6)
Adaptive Process Monitoring for Multimode Industrial Processes through Machine Learning
Published in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2025
Recommended citation: Liang Cao, Xiaolu Ji, Yankai Cao, R Bhushan Gopaluni. IEEE JESTIE, 6(4), 1819-1827, 2025. Q1 (IF=4)
Data-Driven Dynamic Modeling of Renewable CO2 Emissions in Multimode Industrial Co-processing Processes
Published in Control Engineering Practice, 2025
Recommended citation: Liang Cao, Jianping Su, Yankai Cao, Lim C. Siang, Gary Lee, Jin Li, R. Bhushan Gopaluni. Control Engineering Practice, 164, 106424, 2025. Q1 (IF=4.6)
A Novel Automated Soft Sensor Design Tool for Industrial Applications based on Machine Learning
Published in Control Engineering Practice, 2025
Recommended citation: Liang Cao, Jianping Su, Emilio Conde, Lim Siang, Yankai Cao, Bhushan Gopaluni. Control Engineering Practice, 160, 106322, 2025. Q1 (IF=4.6)
Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors
Published in IEEE Transactions on Instrumentation and Measurement, 2025
Recommended citation: Liang Cao, Jingyi Wang, Jianping Su, Yi Luo, Yankai Cao, Richard D. Braatz, R Bhushan Gopaluni. IEEE TIM, 74, 1-17, 2025. Q1 (IF=5.9)
Physics-informed Dynamic Hybrid Modeling for Real-time Renewable CO2 Tracking in Refinery Co-processing
Published in ISA Transactions, 2025
Recommended citation: Liang Cao, Jianping Su, Yang Liu, Jin Liu. ISA Transactions, 2025. Q1 Top (IF=6.5)
Machine Learning for Real-time Green Carbon Dioxide Tracking in Refinery Processes
Published in Renewable and Sustainable Energy Reviews, 2025
Recommended citation: Liang Cao, Jianping Su, Jack Saddler, Yankai Cao, Yixiu Wang, Gary Lee, Lim C Siang, Yi Luo, Robert Pinchuk, Jin Li, R Bhushan Gopaluni. RSER, 115417, 2025. Q1 Top (IF=16.3)
Causal Representation Learning for Trustworthy Industrial Process Modeling
Published in IEEE/CAA Journal of Automatica Sinica, 2025
Recommended citation: Liang Cao, Fan Yang, Youqing Wang. IEEE/CAA JAS, DOI: 11109/JAS.2025.135470, 2025. Q1 Top (IF=19.2)
Interpretable and Reliable Soft Sensor Development in Industry 5.0
Published in IEEE/CAA Journal of Automatica Sinica, 2025
Recommended citation: Liang Cao, Jianping Su, Fan Yang, Yankai Cao, R Bhushan Gopaluni. IEEE/CAA JAS, DOI: 11109/JAS.2025.125420, 2025. Q1 Top (IF=19.2)
Networking systems for video anomaly detection: A tutorial and survey
Published in ACM Computing Surveys, 2025
Recommended citation: Jing Liu, Yang Liu, Jieyu Lin, Jielin Li, Liang Cao, Peng Sun, Bo Hu, Liang Song, et al. ACM Computing Surveys, 57(10), 1-37, 2025. Q1 Top (IF=28)
Condition-Dependent Causal Discovery: A Polynomial Chaos Framework for Systems with Parametric Uncertainty
Published in IEEE Transactions on Industrial Informatics, 2026
Recommended citation: Liang Cao, Weide Liu, Yang Liu, Yan Qin. IEEE TII, 1-10, 2026. Q1 Top (IF=9.9)
Causal Discovery in Dynamic Industrial Systems Under Parametric Uncertainty: A Polynomial Chaos Approach
Published in IEEE Transactions on Automation Science and Engineering, 2026
Recommended citation: Liang Cao, Weide Liu, Yan Qin. IEEE T-ASE, 1-12, 2026. Q1 (IF=6.4)
A Systematic Framework for Data Quality Assessment in Industrial Process Monitoring
Published in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2026
Recommended citation: Liang Cao, Yixiu Wang, Jianping Su. IEEE JESTIE, 2026. Q1 (IF=4)
False Data Injection Attacks Against UAV Battery State of Health Estimation with A Capacity-informed Latent Diffusion Model
Published in Green Energy and Intelligent Transportation, 2026
Recommended citation: Yan Qin, Zhiqing Luo, Yunhong Che, Liang Cao*. GEIT, accepted, 1-16, 2026. Q1 (IF=16.4)
A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty
Published in The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026), 2026
Recommended citation: Liang Cao. AAAI 2026, 1-8. CCF A, Singapore.
Attack Detection for Cyber-Physical Systems Based on Causal Representation
Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026
Recommended citation: Liang Cao, Youqing Wang, Yan Qin, Yankai Cao, Bhushan Gopaluni, Richard Braatz. IEEE TSMC: Systems, 1-11, 2026. Q1 Top (IF=8.7)
Causal Structure Discovery for Industrial Process Monitoring: A Novel Approach for Nonlinear Systems with Complex Noise
Published in IEEE Internet of Things Journal, 2026
Recommended citation: Liang Cao, Jianping Su, Yi Luo. IEEE IoTJ, 2026. Q1 Top (IF=8.9)
Interpretable and Reliable Soft Sensor Development in Industry 5.0
Published in IEEE/CAA Journal of Automatica Sinica, 2026
Recommended citation: Liang Cao, Jianping Su, Fan Yang, Yankai Cao, Bhushan Gopaluni. IEEE/CAA JAS, 13(1): 236, 2026. Q1 Top (IF=19.2)
Slow-fast Dynamics-Assisted Koopman Network for Anomaly Detection in Nonstationary Industrial Processes with Time-lagged Variables
Published in Journal of Process Control, 2026
Recommended citation: Yan Qin, Shan Yin, Wenbin Qian, Wei Dai, Liang Cao*. JPC, 2026. Q1 (IF=3.3)
Ensemble Domain Adaptation with Constructive Incremental Learning for Fault Diagnosis of UAV Actuators
Published in IEEE Internet of Things Journal, 2026
Recommended citation: Jiang Liu, Wei Dai, Liang Cao, Yan Qin, Chau Yuen. IEEE IoTJ, 2026. Q1 Top (IF=8.9)
Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions
Published in International Conference on Learning Representations (ICLR 2026), 2026
Recommended citation: Liang Cao. ICLR 2026, 1-19. CCF A, Rio de Janeiro, Brazil.
Sparse Causal Latent Features for Robust Multimodal Learning under Distribution Shifts
Published in Proceedings of the ACM Web Conference 2026 (WWW 26), 2026
Recommended citation: Liang Cao, Weide Liu, Yan Qin, Zhenghua Chen, Zhuo Chen, and Bhushan Gopaluni. WWW 2026, 1-7. CCF A, Dubai, UAE.
A Polynomial Chaos Framework for Causal Discovery in Nonlinear Uncertain Systems
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), 2026
Recommended citation: Liang Cao. CVPR 2026, 1-9. CCF A, Denver, USA.
talks
Autoencoder and variational autoencoder
Published:
A simple introduction to Autoencoder and Variational Autoencoder.
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A brief introduction to stable learning
Published:
A brief introduction to stable learning
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teaching
CHBE 474 Process Control Engineering
Undergraduate course, The University of British Columbia, Chemical and Biological Engineering, 2020
Main Content
Frequency response analysis; advanced control techniques; multivariable control systems; mathematical tools for computer control systems; design of computer control systems; engineering design of industrial control applications; plant wide control concepts; distributed control systems concepts.