L. L. T. Chan, and J. Chen, Economic model predictive control of distillation startup based on probabilistic approach, Chemical Engineering Science, 2018, 186, 26-35.
L. L. T. Chan, Q.-Y. Wu, and J. Chen, Dynamic soft sensors with active forward-learning for ion of useful data from historical big database, Chemometrics and Intelligent Laboratory Systems, 2018, 175, 87-103
L. L. T. Chan, X. Wu, J. Chen, L. Xie, and C.-I. Chen, Just-In-Time Modeling with Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing, IEEE Transactions on Semiconductor Manufacturing, Accepted (2018)
L.L.T. Chan, J. Chen, Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model, Computers & Chemical Engineering, 2017, 106, 609-620
L.L.T. Chan, C.-P. Chou, J. Chen, Hybrid model based expected improvement control for cyclical operation of membrane microfiltration processes, Chemical Engineering Science, 2017, 166, 77-90
L.L.T. Chan, J. Chen, Melt index prediction with a mixture of Gaussian process regression with embedded clustering and variable ions, Journal of Applied Polymer Science, 2017, 134, 45237
L.L.T. Chan, T. Chen, J. Chen, PID based nonlinear processes control model uncertainty improvement by using Gaussian process model, Journal of Process Control, 2016, 42, 77-89
L.L.T. Chan, Y. Liu, J. Chen, Nonlinear system identification with ive recursive gaussian process models, Industrial & Engineering Chemistry Research, 2013, 52, 18276-18286
J. Chen, L.L.T. Chan, Y.-C. Cheng, Gaussian process regression based optimal design of combustion systems using flame images, Applied Energy, 2013, 111, 153-160
J. Chen, M.-H. Chen, L. L. T. Chan, Iterative learning parameter estimation and design of SMB processes, Chemical Engineering Journal, 2010, 161,223-233.
J. Chen, K.-T. Hsieh, L. L. T. Chan, Wave propagation velocities in integrated PLS based control of a simulated moving bed process, Chemical Engineering Science, 2010, 65, 2990-3000
J. Chen, K.-T. Hsieh, L. L. T. Chan, PLS data driven based approach to design of a simulated moving bed process, Separation and Purification Technology, 2009, 65, 173-183
L.L.T. Chan, J. Chen, Reducing Cost of Process Modeling through Multi-source Data Transfer Learning, 12th Asian Control Conference, Kitakyushu, Japan, 2019
L.L.T. Chan, J. Chen, Economic model predictive control of an absorber-stripper CO2 capture process for improving energy cost, 10th IFAC Symposium on Advanced Control of Chemical Processes, Shenyang, China, 2018
Q.-Y. Wu, L.L.T. Chan, J. Chen, Active learning dynamic soft sensor with forward-scheme The 6th International Symposium on Advanced Control of Industrial Processes, Taipei, Taiwan, 2017
S.W. Ku, J. Chen, L.L.T. Chan, Identification of LTV systems with cascade control loops using basis function approach, The 6th International Symposium on Advanced Control of Industrial Processes, Taipei, Taiwan, 2017
X. Wu, L.L.T. Chan, J. Chen, L. Xie, Application of Gaussian processes with variable shrinkage method and just-in-time modeling in the semiconductor industry, The 6th International Symposium on Advanced Control of Industrial Processes, Taipei, Taiwan, 2017
J. Chen, L.L.T. Chan, Q.-Y. Wu Utilizing big data for development of soft sensor 2017 Spring Meeting & 13th Global Congress on Process Safety, San Antonio, Texas 2017
L.L.T. Chan, C.-P. Chou, J. Chen Hybrid model based control for membrane filtration process 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016), Trondheim (Norway) 2016
L.L.T. Chan, J. Chen Large data soft-sensor based on mixture of Gaussian process regression model with LASSO criterion 2016 Spring Meeting & 12th Global Congress on Process Safety, Houston, Texas 2016
L.L.T. Chan, J. Chen Gaussian process model based performance assessment of control loop The 17th IFAC Symposium on System Identification, Beijing. 2015
L.L.T. Chan, Z. Ge, J. Chen A distributed modeling framework for monitoring big data in plant-wide processes 2015 Spring Meeting & 13th Global Congress on Process Safety, San Antonio, Texas 2015
L. L. T. Chan, T. Chen, J. Chen Applying Gaussian process models to on-line enhancement of PID control design for nonlinear processes 5th International Symposium on Advanced Control of Industrial Processes (ADCONIP 2014), Hiroshima 2014
