Predictive control of batch processes using principal surface/space analysis and fuzzy clustering empirical models. - Po-Feng Tsai; Shi-Shang Jang; Shyan-Shu Shieh (ACC, 2001)

An Experimental Study of Model Predictive Control Based on Artificial Neural Networks. - Ji-Zheng Chu; Po-Feng Tsai; Wen-Yen Tsai; Shi-Shang Jang; David Shan-Hill Wong; Shyan-Shu Shieh; Pin-Ho Lin; Shi-Jer Jiang (KES, 2003)

Solution of trim-loss problem by an integrated simulated annealing and ordinal optimization approach. - Chia Huang Yen; David Shan-Hill Wong; Shi-Shang Jang (J. Intell. Manuf., 2004)

The Development of Information Guided Evolution Algorithm for Global Optimization. - Chen-Wei Yeh; Shi-Shang Jang (J. Glob. Optim., 2006)

Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory. - Shi-Shang Jang; David Shan-Hill Wong; Junghui Chen (Integrated Intelligent Systems for Engineering Design, 2006)

Biological network mapping and source signal deduction. - Mark P. Brynildsen; Tung-Yun Wu; Shi-Shang Jang; James C. Liao (Bioinform., 2007)

Systematic applications of multivariate analysis to monitoring of equipment health in semiconductor manufacturing. - An-Guo Chao; S. T. Tseng; David Shan-Hill Wong; Shi-Shang Jang; Shui-Pin Lee (WSC, 2008)

Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization. - Ming-Da Ma; David Shan-Hill Wong; Shi-Shang Jang; Sheng-Tsaing Tseng (IEEE Trans. Ind. Informatics, 2010)

An EWMA algorithm with a cycled resetting (CR) discount factor for drift and fault of high-mix Run-To-Run Control. - Ying Zheng; Bing Ai; David Shan-Hill Wong; Shi-Shang Jang; Jie Zhang; Yanwei Wang (IEEE Trans. Ind. Informatics, 2010)

Plantwide control of CO2 capture by absorption and stripping using monoethanolamine solution. - Yu-Jeng Lin; Tian-Hong Pan; David Shan-Hill Wong; Shi-Shang Jang (ACC, 2011)

A Virtual Metrology System for Predicting End-of-Line Electrical Properties Using a MANCOVA Model With Tools Clustering. - Tian-Hong Pan; Bi-Qi Sheng; David Shan-Hill Wong; Shi-Shang Jang (IEEE Trans. Ind. Informatics, 2011)

Chamber Matching of Semiconductor Manufacturing Process Using Statistical Analysis. - Tian-Hong Pan; David Shan-Hill Wong; Shi-Shang Jang (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Generation and verification of optimal dispatching policies for multi-product multi-tool semiconductor manufacturing processes. - Chin-Feng Chen; Kun-Jia Wu; Chuei-Tin Chang; David Shan-Hill Wong; Shi-Shang Jang (Comput. Chem. Eng., 2013)

Stability analysis of semiconductor manufacturing process with EWMA run-to-run controllers. - Bing Ai; David Shan-Hill Wong; Shi-Shang Jang (CoRR, 2015)

Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO. - Kai Sun; Shao-Hsuan Huang; David Shan-Hill Wong; Shi-Shang Jang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks. - Cheng-Hung Chou; Haibin Wu; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (IEEE Trans. Ind. Informatics, 2020)

A Data-Driven Soft Sensor Based on Multilayer Perceptron Neural Network With a Double LASSO Approach. - Yajun Fan; Bo Tao; Ying Zheng; Shi-Shang Jang (IEEE Trans. Instrum. Meas., 2020)

Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory. - Zhen-Feng Jiang; Xi-Zhan Wei; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (Comput. Chem. Eng., 2024)

Corrigendum to "Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory" [Computers & Chemical Engineering 189, 108790]. - Zhen-Feng Jiang; Xi-Zhan Wei; Jia-Lin Kang; David Shan-Hill Wong; Yuan Yao 002; Yao-Chen Chuang; Shi-Shang Jang; John Di-Yi Ou (Comput. Chem. Eng., 2025)