1. J. Chen, B. Huang, F. Ding, Y. Gu, Variational Bayesian approach for ARX systems with missing observations and varying time-delays, Automatica, Volume 94, August 2018, 194-204.
  2. A. Sadeghian, B. Huang*, Robust Probabilistic Principal Component Analysis Based Process Modeling: Dealing with Simultaneous Contamination of Both Input and Output Data, Journal of Process Control, Volume 67, July 2018, 94-111. IRC
  3. X. Luan* , B. Huang, F. Liu, Higher order moment stability region for Markov jump systems based on cumulant generating function, Automatica, Volume 93, July 2018, 389-396.
  4. H. Kodamana, B. Huang, R. Ranjan, Y. Zhao, R. Tan, N. Sammaknejad, Approaches to Robust Process Identification : A Review and Tutorial of Probabilistic Methods, Journal of Process Control,Volume 66, June 2018, 68-83. IRC
  5. R. Raveendran, K. Hariprasad, B. Huang, Process monitoring using generalized probabilistic linear latent variable model, Automatica, accepted as a regular paper May 2018. IRC
  6. S. Zhao, Y. Ma, B. Huang, Probabilistic Monitoring of Sensors in State-Space with Variational Bayesian Inference, IEEE Transactions on Industrial Electronics, accepted April 2018. IRC
  7. R. Raveendran, B. Huang, Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data, IEEE Transactions on Cybernetics, accepted April 2018. IRC
  8. Y. Wang, B. Huang, Survey on the Theoretical Research and Engineering Applications of Multivariate Statistics Process Monitoring Algorithms: 2008-2017, Canadian Journal of Chemical Engineering, accepted April 2018.
  9. S. Zhao, B. Huang*, F. Liu, Localization of Indoor Mobile Robot Using Minimum Variance Unbiased FIR Filter, IEEE Transactions on Automation Science and Engineering, Volume 15, Issue 2, April 2018. IRC
  10. S. Zhao, Y. Ma, B, Huang, Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers, IEEE Transactions on Industrial Informatics, accepted April 2018. IRC
  11. R. Chi, Z. Hou, S. Jin, B. Huang, Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control, IEEE Transactions on Neural Networks and Learning Systems, accepted March 2018.
  12. Y. Zhao, A. Fatehi, B. Huang*, Robust Estimation of ARX Models with Time Varying Time Delays Using Variational Bayesian, IEEE Transactions on Cybernetics, Volume 48, Issue 2, Feb. 2018, 532 - 542. IRC
  13. Y. Yuan, Z. Li, B. Huang, Nonlinear Robust Optimization for Process Design, AIChE J., Volume 64, Issue 2, February 2018, 481-494.
  14. Y. Alipouri, B. Huang*, H. Kodamana, Minimum Variance Bound and Minimum Variance Controller for Convex Nonlinear Systems with Input Constraint, IET Control Theory & Applications, Volume 12, Issue 6, April 2018, 761 - 769. IRC
  15. M. Rashedi, O. Xu, S. Kwak, S. Sedghi, J. Liu, B. Huang*, An Integrated First Principle Modeling to Steam Assisted Gravity Drainage (SAGD), Journal of Petroleum Science and Engineering, accepted Jan 2018.
  16. A. Raghu, X. Yang, S. Khare, J. Prakash, B. Huang, V. Prasad, Reservoir History Matching Using Constrained Ensemble Kalman Filtering. Canadian Journal of Chemical Engineering, January 2018, 96, 145-159
  17. M. Rashedi, J. Liu, B. Huang*, Triggered Communication in Distributed Adaptive High-Gain EKF, IEEE Transactions on Industrial Informatics, January 2018, 14, 58-68
  18. N. Lin, R. Chi*, B. Huang, C. Chien, Y. Feng, An E-HOIM based Data-driven Adaptive TILC of Nonlinear Discrete-time Systems for Non-repetitive Terminal Point Tracking, Asian Journal of Control, January 2018, 20, 1-10
  19. R. Chi, N. Lin, R. Zhang, B. Huang, Constraint Data-Driven Optimal Terminal ILC of End Product Quality for a Class of I/O Constrained Batch Processes, Canadian Journal of Chemical Engineering, January 2018, 96, 215-222
  20. X. Yuan, B. Huang, Y. Wang, C. Yang, W. Gui, Deep learning based feature representation and its application for soft sensor modeling with variable-wise weighted SAE, IEEE Transactions on Industrial Informatics, provisionally accepted Feb. 2018.
  21. C. Xu, S. Zhao, B. Huang, F. Liu, Distributed Student's T Filtering Algorithm for Heavy Tailed Noises, International Journal of Adaptive Control and Signal Processing, accepted Feb. 2018.
  22. C. Shang, F. Yang, B. Huang, D.X. Huang, Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes, IEEE Trans on Industrial Electronics, accepted Feb. 2018.
  23. R. Chi*, B. Huang, Z. Hou, S. Jin, Data-driven High-order Terminal Iterative Learning Control with a Faster Convergence Speed, International Journal of Robust and Nonlinear Control, January 2018, 28, 103-119
  24. M. Fang, H. Kodamana, B. Huang*, A Novel Approach to Process Operating Mode Diagnosis Using Conditional Random Fields in the Presence of Missing Data, Computers & Chemical Engineering, Volume 111, March 2018, 149-163. IRC.
  25. J. Ma*, O. Wu, B. Huang, F. Ding, Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother, Signal Processing, Volume 145, April 2018, 295-303.
  26. L. Fan, H. Kodamana, B. Huang*, Identification of Robust Probabilistic Slow Feature Regression Model for Process Data Contaminated with Outliers, Chemometrics and Intelligent Laboratory Systems, Volume 173, February 2018, 1-13.IRC.
  27. Y. Ma, B. Huang*, Extracting Dynamic Features with Switching Models for Process Data Analytics and Application in Soft Sensing, AIChE J., Volume 64, Issue 6, June 2018, 2037-2051. IRC
  28. C. Zhao, B. Huang*, A Full-condition Monitoring Method for Nonstationary Dynamic Processes with Cointegration and Slow Feature Analysis, AIChE J., Volume 64, Issue 5, May 2018, 1662-1681.
  29. X. Hong, Y. Ding, L. Ren, L. Chen, B. Huang*, A Weighted Heteroscedastic Gaussian Process Modelling via Particle Swarm Optimization, Chemometrics and Intelligent Laboratory Systems, Volume 172, January 2018, 129-138.
  30. R. Chi, Z. Hou, S. Jin, B. Huang*, Computationally-light Non-lifted Data-driven Norm-optimal Iterative Learning Control, Asian Journal of Control, 20, January 2018, 115-124.