Peer-reviewed Journal Papers
Peer-reviewed Journal Papers
Sorted by the date of acceptance.
Sorted by the date of acceptance.
2025
[31]. S. Kazemi, J. Xie, B. Huang. Fully Automated End-to-End Deep Transfer Learning Framework for Bitumen Concentration Prediction in Industrial Flotation Cells, submitted to Industrial & Engineering Chemistry Research, 2025.
[30]. N. Mahboubi, J. Xie, B. Huang. Physics-Guided Transfer Learning for Bayesian Optimization of Chemical Port-Hamiltonian Systems, Computers & Chemical Engineering, Accepted, 2025. [Paper]
[29]. K. L. Mohamed, O. Prakash, J. Xie, Y. Ma, H. Zhang, B. Huang. Real-Time Freeze Point Prediction Using Multi-Rate Measurements in the Blending Process, Journal of Process Control, Accepted, 2025. [Paper]
[28]. B. Chevalier, J. Xie, S. Dubljevic. Enhanced Dynamic Modeling and Analysis of a Lithium-Ion Battery: Coupling Extended Single Particle Model with Thermal Dynamics, submitted to Canadian Journal of Chemical Engineering, 2025.
[27]. J. Xie, H. Liang, M. B. Tatlici, B. Huang. Robust and constrained tracking of PSV interface using convolutional neural networks and optimistic moving horizon estimation, Journal of Process Control, 2025. [Paper]
[26]. B. Chevalier, J. Xie, S. Dubljevic. Long Short-Term Memory Networks for State of Charge and Average Temperature State Estimation of SPMeT Lithium Ion Battery Model, Processes, 2025. [Paper]
[25]. N. Mahboubi, J. Xie, B. Huang. Point-by-Point Transfer Learning in Bayesian Optimization: An Accelerated Search Strategy, Computers & Chemical Engineering, 2025. [Paper]
[24]. L. Zhang, J. Xie, C. R. Koch, S. Dubljevic. Physics-informed neural networks for state reconstruction of hydrogen energy transportation systems, Computers & Chemical Engineering, 2025. [Paper]
[23]. H. Liang, J. Xie, B. Huang, Y. Li, B. Sun, C. Yang. A novel sim2real reinforcement learning algorithm for process control, Reliability Engineering & System Safety, 2025. [Paper]
2024
[22]. J. Xie, B. Huang. Back-and-forth nudging moving horizon estimation for discrete-time linear systems, Automatica, 2024. [Paper]
[21]. J. Xie, B. Huang, S. Dubljevic. Moving Horizon Estimation for Pipeline Leak Detection, Localization, and Constrained Size Estimation, Computers & Chemical Engineering, 2024. [Paper]
[20]. O. Dogru, J. Xie, B. Huang, Reinforcement Learning in Process Industries: Review and Perspectives, IEEE/CAA Journal of Automatica Sinica, 2024. [Paper]
[19]. L. Zhang, J. Xie, C. R. Koch, S. Dubljevic. Robust MPC Design for Multi-Model Infinite-Dimensional Distributed Parameter Systems, Journal of Process Control, 2024. [Paper]
2023
[18]. J. Xie, J.-P. Humaloja, C. R. Koch and S. Dubljevic, Approximate Moving Horizon Estimation for Switching Conservative Linear Infinite-Dimensional Systems, Automatica, 2023. [Paper]
[17]. J. Xie, O. Dogru, B. Huang, B. Willms, and C. Godwaldt. Reinforcement Learning for Soft Sensor Design through Autonomous Cross-Domain Data Selection, Computers & Chemical Engineering, 2023. [Paper]
[16]. L. Zhang, J. Xie, S. Dubljevic, Tracking model predictive control and moving horizon estimation design of distributed parameter pipeline systems, Computers & Chemical Engineering, 2023. [Paper]
2022
[15]. J. Xie, J.-P. Humaloja, C. R. Koch, S. Dubljevic, Constrained Receding Horizon Output Estimation of Regular Linear Distributed Parameter Systems, IEEE Transactions on Automatic Control, 2022. [Paper]
[14]. L. Zhang, J. Xie, S. Dubljevic, Sensor location selection for continuous pulp digesters with delayed measurements, AIChE Journal, 2022. [Paper]
2021
[13]. L. Zhang, J. Xie, and S. Dubljevic. "Dynamic Modelling and Model Predictive Control of a Continuous Pulp Digester." AIChE Journal (2021): e17534. [Paper]
[12]. J. Xie, B. Huang, and S. Dubljevic. "Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference." IEEE Transactions on Knowledge and Data Engineering (2021). [Paper]
[11]. J. Xie, and S. Dubljevic. "Discrete-time modeling and output regulation of gas pipeline networks." Journal of Process Control 98 (2021): 30-40. [Paper]
[10]. J. Xie, C. R. Koch, and S. Dubljevic. "Discrete-time model-based output regulation of fluid flow systems." European Journal of Control 57 (2021): 1-13. [Paper]
[9]. J. Xie, L. Zhang, Q. Zheng, X. Liu, S. Dubljevic, and H. Zhang. "Strain demand prediction of buried steel pipeline at strike-slip fault crossings: A surrogate model approach." Earthquakes and Structures 20, no. 1 (2021): 109-122. [Paper]
2020
[8]. J. Xie, C. R. Koch, and S. Dubljevic. "Discrete output regulator design for linear distributed parameter systems." International Journal of Control (2020): 1-17. [Paper]
[7]. L. Zhang, J. Xie, C. R. Koch, and S. Dubljevic. "Model Predictive Control of Jacket Tubular Reactors with a Reversible Exothermic Reaction." Industrial & Engineering Chemistry Research 59, no. 42 (2020): 18921-18936. [Paper]
2019
[6]. J. Xie, X. Xu, and S. Dubljevic. "Long range pipeline leak detection and localization using discrete observer and support vector machine." AIChE Journal 65, no. 7 (2019): e16532. [Paper]
[5]. J. Xie, Q. Xu, D. Ni, and S. Dubljevic. "Observer and filter design for linear transport-reaction systems." European Journal of Control 49 (2019): 26-43. [Paper]
[4]. J. Xie, and S. Dubljevic. "Discrete-Time Kalman Filter Design for Linear Infinite-Dimensional Systems." Processes 7, no. 7 (2019): 451. [Paper]
2017
[3]. J. Wang, Y. Zheng, L. Duan, J. Xie, and L. Zhang. "Virtual sensing for gearbox condition monitoring based on extreme learning machine." Journal of Vibroengineering 19, no. 2 (2017): 1000-1013. [Paper]
[2]. J. Wang, J. Xie, R. Zhao, L. Zhang, and L. Duan. "Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing." Robotics and Computer-Integrated Manufacturing 45 (2017): 47-58. [Paper]
2016
[1]. J. Wang, J. Xie, R. Zhao, K. Mao, and L. Zhang. "A new probabilistic kernel factor analysis for multisensory data fusion: Application to tool condition monitoring." IEEE Transactions on Instrumentation and Measurement 65, no. 11 (2016): 2527-2537. [Paper]
[13]. J. Xie, M. A. Zarate-Navarro, B. Huang, S. Dubljevic. Discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems. 5th IFAC Workshop on Control of Systems Governed by Partial Differential Equations (CPDE 2025), 2025.
[12]. H. Liang, J. Xie, C. Yang, B. Huang, B. Sun, X. Wang. Roasting temperature distribution control using multi-agent reinforcement learning, IFAC MMM, IFAC-PapersOnLine, 2024.
[11]. J. Xie, and B. Huang. Moving Horizon Estimation for Discrete-time Linear Systems Using Transfer Learning, accepted by IEEE CDC, 2023.
[10]. M. A. Zarate-Navarro, S. D. Schiavone-Valdez, J. Xie*, S. Dubljevic. Thermodynamic modeling of a class of distributed systems with diffusion. IFAC Workshop on Thermodynamic Foundations of Mathematical Systems Theory (TFMST), 2022.
[9]. J. Xie, S. Dubljevic. Fluid Flow Regulation for Pipeline System with Additive Gaussian Noise. In 2021 American Control Conference (ACC), 2021.
[8]. J. Xie, C. R. Koch, S. Dubljevic. Internal Model Controller Design of Ginzburg-Landau Equation. 21st IFAC World Congress, IFAC-PapersOnLine, 2020.
[7]. Z. Ge, S. Zhang, J. Xie, Z. Tang, S. Dubljevic. Development of a swimming robot for pipeline leak detection. In 2020 American Control Conference (ACC), pp. 5231-5236. IEEE, 2020.
[6]. J. Xie, S. Dubljevic. Discrete Kalman Filter Design for Kuramoto-Sivashinsky Equation. In 2019 American Control Conference (ACC), pp. 1256-1261. IEEE, 2019.
[5]. J. Xie, L. Zhang, L. Duan, J. Wang. On cross-domain feature fusion in gearbox fault diagnosis under various operating conditions based on Transfer Component Analysis. 2016 IEEE Conference on Prognostics and Health Management.
[4]. J. Xie, J. Wang, L. Zhang, R. Zhao, L. Duan. Online Process-monitoring in Machine Tools Based on Probabilistic Kernel Factor Analysis. The 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, 2017.
[3]. F. Zhao, L. Duan, Y. Zhang, G. Gao, J. Xie. Rolling bearing degradation trend prognostics based on cumulative transformation. The 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, 2017.
[2]. J. Wang, J. Xie, L. Zhang, L. Duan. A factor analysis based transfer learning method for gearbox diagnosis under various operating conditions. 2016 International Symposium on Flexible Automation (ISFA). 2016, 81-86.
[1]. J. Wang, Y. Zheng, L. Duan, J. Xie. Feature Fusion Based Virtual Sensing Technique for Gearbox State Estimation, The 6th World Conference on Safety of Oil and Gas Industry (WCOGI 2016).
[27]. S. Kazemi, J. Xie, B. Huang. End-to-End Machine Learning Model for Bitumen Concentration Prediction in Flotation Cells Using Transfer Learning, CSChE 2025 Annual Meeting, Montreal, Canada.
[26]. K. L. Mohamed, O. Prakash, J. Xie, B. Huang. Real-time freeze point and soft sensor model estimation for the blending process, CSChE 2024 Annual Meeting, Toronto, Canada.
[25]. J. Liu, J. Xie, L. Zhang, S. Dubljevic. Infinite-dimensional modeling for hydrogen-blending natural gas pipeline system, CSChE 2024 Annual Meeting, Toronto, Canada.
[24]. J. Xie, B. Huang, S. Dubljevic. Enhanced Modeling, Health Monitoring and Leak Diagnosis of Hydrogen Energy Transportation Systems, 2024 AIChE Annual Meeting, October 27-31, 2024, San Diego, CA, USA.
[23]. L. Zhang, J. Xie, S. Dubljevic. Predictive Control of Distributed Transportation Systems Using Physics-Informed Neural Network, 2024 AIChE Annual Meeting, October 27-31, 2024, San Diego, CA, USA.
[22]. L. Zhang, J. Xie, S. Dubljevic. Learning Based Real-Time Batch Tracking of Multi-Product Pipeline Systems, 2024 AIChE Annual Meeting, October 27-31, 2024, San Diego, CA, USA.
[21]. J. Xie, B. Huang, and S. Dubljevic, Moving Horizon Estimation for Pipeline Leak Detection, CSChE 2023 Annual Meeting, Calgary, AB.
[20]. N. Mahboubi, J. Xie, B. Huang, and X. Yin, Bayesian Optimization: Efficient Optimization of pH and Concentration Levels in Water through Statistical Modeling, CSChE 2023 Annual Meeting, Calgary, AB.
[19]. J. N. Rajput, J. Xie, and B. Huang, Model discovery of systems of partial differential equations with time/spatial varying parameters and noisy measurements using sparse optimization, CSChE 2023 Annual Meeting, Calgary, AB.
[18]. B. Chevalier, J. Xie, and S. Dubljevic, Dynamic Modeling and Analysis of Lithium-Ion Battery: Coupling Extended Single Particle Model with Thermal Dynamics, CSChE 2023 Annual Meeting, Calgary, AB.
[17]. J. Xie, S. Dubljevic, and B. Huang, Moving Horizon Estimation for Diffusion-Transport-Reaction Systems: A Late-Lumping Approach, 2023 AIChE Annual Meeting, Hyatt Regency Orlando, Orlando, FL.
[16]. J. Xie, B. Huang, and S. Dubljevic, Transfer Learning for Soft Sensor Modeling of Industrial Chemical Processes Using Bayesian Inference, 2023 AIChE Annual Meeting, Hyatt Regency Orlando, Orlando, FL.
[15]. B. Chevalier, J. Xie, and S. Dubljevic, Lithium-Ion Battery Model Development and Parameter Estimation for an Extended Single Particle Model Coupled with Thermal Modeling, 2023 AIChE Annual Meeting, Hyatt Regency Orlando, Orlando, FL.
[14]. L. Zhang, J. Xie, S. Dubljevic, Optimization-Based State and Parameter Estimation for Distributed Parameter Pipeline Systems, 2023 AIChE Annual Meeting, Hyatt Regency Orlando, Orlando, FL.
[13]. J. Xie, B. Huang, S. Dubljevic. Learning-based Estimation for Distributed Parameter Systems, 2022 AIChE Annual Meeting, Phoenix Convention Center, Phoenix, AZ, USA.
[12]. J. Xie, O. Dogru, B. Huang, Reinforcement learning for sample/feature selection and soft sensor design, 2022 Canadian Chemical Engineering Conference (CCEC), Vancouver, BC, Canada, Invited Talk.
[11]. J. Xie, L. Zhang, S. Dubljevic, Moving Horizon Estimation for Heat Exchanger Processes, 2021 AIChE Annual Meeting, In-Person Boston (Nov. 7-11) and Virtual (Nov. 15-19).
[10]. L. Zhang, J. Xie, S. Dubljevic, Model Predictive Control for Energy Scheduling of Pipeline Networks, 2021 AIChE Annual Meeting, In-Person Boston (Nov. 7-11) and Virtual (Nov. 15-19).
[9]. J. Xie, L. Zhang, C. R. Koch, S. Dubljevic, Energy Scheduling and Surge Suppression of Distributed Gas Pipeline Networks, ASI Workshop Presentations, Edmonton, Canada, 2020
[8]. J. Xie, S. Dubljevic. Energy Scheduling of Distributed Gas Pipeline Networks: a Geometric Approach, the 70th Canadian Chemical Engineering Conference (CCEC 2020), Ottawa, Ontario, Canada, 2020
[7]. J. Xie, S. Dubljevic. Discrete Output Regulation of Kuramoto-Sivashinsky Equation, 2019 AIChE Annual Meeting, Orlando, FL, USA
[6]. J. Xie, S. Dubljevic. Meeting Energy Demands in Distributed Pipeline Systems, 2019 AIChE Meeting, Orlando, FL, USA
[5]. J. Xie, S. Dubljevic. Process Monitoring and Leakage Diagnosis for Distributed Pipeline System Based on Discrete Observer and Moving Horizon Estimation, 2018 AIChE Annual Meeting, Pittsburgh, PA, USA
[4]. J. Xie, S. Dubljevic. Thin Falling Film Layer Monitoring and State Estimation Via Discrete Kuramoto-Sivashinsky Observer and Kalman Filter, 2018 AIChE Annual Meeting, Pittsburgh, PA, USA
[3]. J. Xie, S. Dubljevic. Transfer Learning Method for Chemical Plant Fault Diagnosis, 2018 AIChE Annual Meeting, Pittsburgh, PA, USA
[2]. J. Xie, S. Dubljevic. Receding Horizon Estimation for Linear Transport-Reaction Distributed Parameter Systems, 2018 CSChE Annual Meeting, Toronto, ON, Canada
[1]. J. Xie, S. Dubljevic. Discrete Observer and Kalman Filter Design for Pipeline State Estimation and Leak Detection, 2018 CSChE Annual Meeting, Toronto, ON, Canada