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期刊論文
  1. L.L.T. Chan, J. Chen , “Gaussian process model based multi-source labeled data transfer learning for reducing cost of modeling target chemical processes with unlabeled data” , 2021 , Control Engineering Practice , vol.117 , p.104941-104941. (EI期刊)(SCI期刊)
  2. X. Wu;J. Chen;L. Xie;L.L.T. Chan;C.I. Chen , “Development of convolutional neural network based Gaussian process regression to construct a novel probabilistic virtual metrology in multi-stage semiconductor processes” , 2020 , Control Engineering Practice , vol.96 , p.104262-104262. (EI期刊)(SCI期刊)
  3. Z. Zhang, L.L.T. Chan, J. Chen, Z. Shao , “Correntropy based data reconciliation and gross error detection for bilinear systems” , 2020 , CHEMICAL ENGINEERING SCIENCE , vol.212 , p.115327-115327. (EI期刊)(SCI期刊)
  4. L.L.T. Chan, J. Chen , “Improving the energy cost of an absorber-stripper CO2 capture process through economic model predictive control” , 2018 , INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL , vol.76 , p.158-166. (SCI期刊)
  5. L.L.T. Chan, J. Chen , “Economic model predictive control of distillation startup based on probabilistic approach ” , 2018 , CHEMICAL ENGINEERING SCIENCE , vol.186 , p.26-35. (SCI期刊)
  6. L.L.T. Chan, Q.-Y. Wu, J. Chen , “Dynamic soft sensors with active forward-update learning for selection of useful data from historical big database” , 2018 , CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS , vol.175 , p.87-103. (SCI期刊)
  7. L.L.T. Chan, X. Wu, J. Chen, L. Xie, C.I. Chen , “Just-In-Time Modeling with Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing” , 2018 , IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING , vol.31 , p.335-342. (SCI期刊)
  8. L.L.T. Chan, J. Chen , “ Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model ” , 2017 , COMPUTERS & CHEMICAL ENGINEERING , vol.106 , p.609-620. (SCI期刊)
  9. L.L.T. Chan, J. Chen , “Melt index prediction with a mixture of Gaussian process regression with embedded clustering and variable selections” , 2017 , JOURNAL OF APPLIED POLYMER SCIENCE , vol.134 , p.45237-45237. (EI期刊)(SCI期刊)
  10. L.L.T. Chan, C-P Chou, J. Chen , “Hybrid model based expected improvement control for cyclical operation of membrane microfiltration processes” , 2017 , CHEMICAL ENGINEERING SCIENCE , vol.166 , p.77-90. (EI期刊)(SCI期刊)
  11. L.L.T. Chan, T. Chen, J. Chen , “PID based nonlinear processes control model uncertainty improvement by using Gaussian process model” , 2016 , JOURNAL OF PROCESS CONTROL , vol.42 , p.77-89. (EI期刊)(SCI期刊)
  12. L. L. T. Chan, Y. Liu and J. Chen , “Nonlinear System Identification with Selective Recursive Gaussian Process Models” , 2013 , INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH , vol.52 , p.18276-18286. (EI期刊)(SCI期刊)
  13. J. Chen, L. L. T. Chan and N. Cheng , “Gaussian process regression based optimal design of combustion systems using flame images” , 2013 , APPLIED ENERGY , vol.111 , p.153-160. (SCI期刊)
  14. J. Chen, M.-H. Chen and L. L. T. Chan , “ Iterative learning parameter estimation and design of SMB processes ” , 2010 , CHEMICAL ENGINEERING JOURNAL , vol.161 , p.223-233. (SCI期刊)
  15. J. Chen, K.-T. Hsieh and L. L. T. Chan , “Wave Propagation Velocities in Integrated PLS Based Control of a Simulated Moving Bed Process” , 2010 , CHEMICAL ENGINEERING SCIENCE , vol.65 , p.2990-3000. (SCI期刊)
  16. J. Chen, K.-T. Hsieh and L. L. T. Chan , “PLS Data-Driven Based Approach to Design of a Simulated Moving Bed Process” , 2009 , SEPARATION AND PURIFICATION TECHNOLOGY , vol.65 , p.173-183. (SCI期刊)
研討會論文
  1. 田立德 , “On the of Image-based Deep Learning Methods in Chemical Engineering” , 2022 , 2022 Twiche , 2022 /12 /2 ~ 2022 /12 /3 , 中華民國 台灣 .
  2. L.L.T. Chan, Y. Zhang, Y. Lee, J. Chen , “Latent-Based Dynamic Convolutional Neural Networks with Infrared Imaging for Monitoring Spinning Disc Processes” , 2021 , Symposium on Thermodynamics and Process Systems Engineering , 2021 /5 /24 ~ 2021 /5 /31 , 中華民國 台灣 .
  3. Y. Zhang, J. Chen and L. L. T. Chan , “Application of convolutional neural network based variational auto-encoder model to the image monitoring of combustion processes” , 2020 , SICE Annual Conference 2020 , 2020 /9 /23 ~ 2020 /9 /26 , Thailand .
  4. L.L.T. Chan, J. Chen , “Reducing Cost of Process Modeling through Multi-source Data Transfer Learning” , 2019 , 12th Asian Control Conference , 2019 /6 /9 ~ 2019 /6 /12 , Japan .