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ORCIDDavid Shan-Hill Wong
Person information
- affiliation: National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan
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2020 – today
- 2025
[j20]Zhen-Feng Jiang, Xi-Zhan Wei, Jia-Lin Kang, David Shan-Hill Wong, Yuan Yao, Yao-Chen Chuang, Shi-Shang Jang, John Di-Yi Ou:
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]. Comput. Chem. Eng. 192: 108888 (2025)- 2024
- [j19]Zhen-Feng Jiang, Xi-Zhan Wei, Jia-Lin Kang, David Shan-Hill Wong, Yuan Yao
, Yao-Chen Chuang, Shi-Shang Jang, John Di-Yi Ou:
Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory. Comput. Chem. Eng. 189: 108790 (2024) - 2022
- [j18]Zhaojing Wang, Ying Zheng, David Shan-Hill Wong, Yang Wang, Weidong Yang:
Stationary Mapping Based Generalized Monitoring Scheme for Industrial Processes With Mixed Operational Stages. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j17]Xiaoyu Yang, Ying Zheng, Yong Zhang, David Shan-Hill Wong, Weidong Yang:
Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j16]Zhihua Chen, Tao Zhang, Ying Zheng, David Shan-Hill Wong, Zhonghua Deng:
Fully Decoupled Control of the Machine Directional Register in Roll-to-Roll Printing System. IEEE Trans. Ind. Electron. 68(10): 10007-10018 (2021) - 2020
- [j15]Cheng-Hung Chou, Haibin Wu, Jia-Lin Kang, David Shan-Hill Wong, Yuan Yao, Yao-Chen Chuang, Shi-Shang Jang, John Di-Yi Ou:
Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks. IEEE Trans. Ind. Informatics 16(4): 2829-2838 (2020)
2010 – 2019
- 2019
- [j14]Zhihua Chen, Ying Zheng, Tao Zhang, David Shan-Hill Wong, Zhonghua Deng:
Modeling and Register Control of the Speed-Up Phase in Roll-to-Roll Printing Systems. IEEE Trans Autom. Sci. Eng. 16(3): 1438-1449 (2019) - 2017
- [j13]Kai Sun, Shao-Hsuan Huang, David Shan-Hill Wong, Shi-Shang Jang:
Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1386-1396 (2017) - 2016
- [j12]Ying Zheng, Simin Mao, Shujie Liu, David Shan-Hill Wong, Yanwei Wang:
Normalized Relative RBC-Based Minimum Risk Bayesian Decision Approach for Fault Diagnosis of Industrial Process. IEEE Trans. Ind. Electron. 63(12): 7723-7732 (2016) - 2015
- [i1]Bing Ai, David Shan-Hill Wong, Shi-Shang Jang:
Stability analysis of semiconductor manufacturing process with EWMA run-to-run controllers. CoRR abs/1510.08946 (2015) - 2014
- [j11]Ying Zheng, David Shan-Hill Wong, Yanwei Wang, Huajing Fang:
Takagi-Sugeno Model Based Analysis of EWMA RtR Control of Batch Processes With Stochastic Metrology Delay and Mixed Products. IEEE Trans. Cybern. 44(7): 1155-1168 (2014) - 2013
- [j10]Chin-Feng Chen, Kun-Jia Wu, Chuei-Tin Chang, David Shan-Hill Wong, Shi-Shang Jang:
Generation and verification of optimal dispatching policies for multi-product multi-tool semiconductor manufacturing processes. Comput. Chem. Eng. 52: 112-121 (2013) - [j9]Kai Cheng, San-Jang Wang, David Shan-Hill Wong:
Steady-state design of thermally coupled reactive distillation process for the synthesis of diphenyl carbonate. Comput. Chem. Eng. 52: 262-271 (2013) - [c4]Jialin Liu, David Shan-Hill Wong, Ding-Sou Chen:
Isolating faulty variables for fault propagation using Bayesian decision theory. ECC 2013: 1964-1969 - 2012
- [j8]Tian-Hong Pan, David Shan-Hill Wong, Shi-Shang Jang:
Chamber Matching of Semiconductor Manufacturing Process Using Statistical Analysis. IEEE Trans. Syst. Man Cybern. Part C 42(4): 571-576 (2012) - 2011
- [j7]Chu Kang, Yung-Jen Chuang, Kai Che Tung, Chun Chao, Chuan Yi Tang, Shih Chi Peng, David Shan-Hill Wong:
A genetic algorithm-based boolean delay model of intracellular signal transduction in inflammation. BMC Bioinform. 12(S-1): S17 (2011) - [j6]Tian-Hong Pan, Bi-Qi Sheng, David Shan-Hill Wong, Shi-Shang Jang:
A Virtual Metrology System for Predicting End-of-Line Electrical Properties Using a MANCOVA Model With Tools Clustering. IEEE Trans. Ind. Informatics 7(2): 187-195 (2011) - [c3]Yu-Jeng Lin, Tian-Hong Pan, David Shan-Hill Wong, Shi-Shang Jang:
Plantwide control of CO2 capture by absorption and stripping using monoethanolamine solution. ACC 2011: 5067-5072 - 2010
- [j5]Shih Chi Peng, David Shan-Hill Wong, Kai Che Tung, Yan Yu Chen, Chun Cheih Chao, Chien Hua Peng, Yung-Jen Chuang, Chuan Yi Tang:
Computational modeling with forward and reverse engineering links signaling network and genomic regulatory responses: NF-kappaB signaling-induced gene expression responses in inflammation. BMC Bioinform. 11: 308 (2010) - [j4]Ming-Da Ma, David Shan-Hill Wong, Shi-Shang Jang, Sheng-Tsaing Tseng:
Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization. IEEE Trans. Ind. Informatics 6(1): 18-24 (2010) - [j3]Ying Zheng, Bing Ai, David Shan-Hill Wong, Shi-Shang Jang, Jie Zhang, Yanwei Wang:
An EWMA algorithm with a cycled resetting (CR) discount factor for drift and fault of high-mix Run-To-Run Control. IEEE Trans. Ind. Informatics 6(2): 229-242 (2010)
2000 – 2009
- 2008
- [j2]San-Jang Wang, David Shan-Hill Wong, Shuh-Woei Yu:
Design and control of transesterification reactive distillation with thermal coupling. Comput. Chem. Eng. 32(12): 3030-3037 (2008) - [c2]An-Guo Chao, S. T. Tseng, David Shan-Hill Wong, Shi-Shang Jang, Shui-Pin Lee:
Systematic applications of multivariate analysis to monitoring of equipment health in semiconductor manufacturing. WSC 2008: 2330-2334 - 2006
- [p1]Shi-Shang Jang, David Shan-Hill Wong, Junghui Chen:
Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory. Integrated Intelligent Systems for Engineering Design 2006: 258-273 - 2004
- [j1]Chia Huang Yen, David Shan-Hill Wong, Shi-Shang Jang:
Solution of trim-loss problem by an integrated simulated annealing and ordinal optimization approach. J. Intell. Manuf. 15(5): 701-709 (2004) - 2003
- [c1]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:
An Experimental Study of Model Predictive Control Based on Artificial Neural Networks. KES 2003: 1296-1302
Coauthor Index
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