Posts by Collection

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: January 25, 2017

A simple introduction to Autoencoder and Variational Autoencoder.

Link

Download here

A brief introduction to stable learning

Published: January 25, 2017

A brief introduction to stable learning

Link

Download here

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.