Shi-Shang Jang

Orcid: 0000-0002-9121-0403

According to our database1, Shi-Shang Jang authored at least 18 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep learning model predictive control of a high-density polyethylene reactor with a physics-guided sequence-to-sequence model with memory.
Comput. Chem. Eng., 2024

2020
A Data-Driven Soft Sensor Based on Multilayer Perceptron Neural Network With a Double LASSO Approach.
IEEE Trans. Instrum. Meas., 2020

Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks.
IEEE Trans. Ind. Informatics, 2020

2017
Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO.
IEEE Trans. Neural Networks Learn. Syst., 2017

2015
Stability analysis of semiconductor manufacturing process with EWMA run-to-run controllers.
CoRR, 2015

2013
Generation and verification of optimal dispatching policies for multi-product multi-tool semiconductor manufacturing processes.
Comput. Chem. Eng., 2013

2012
Chamber Matching of Semiconductor Manufacturing Process Using Statistical Analysis.
IEEE Trans. Syst. Man Cybern. Part C, 2012

2011
A Virtual Metrology System for Predicting End-of-Line Electrical Properties Using a MANCOVA Model With Tools Clustering.
IEEE Trans. Ind. Informatics, 2011

Plantwide control of CO2 capture by absorption and stripping using monoethanolamine solution.
Proceedings of the American Control Conference, 2011

2010
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, 2010

Fault Detection based on Statistical Multivariate Analysis and Microarray-type Visualization.
IEEE Trans. Ind. Informatics, 2010

2008
Systematic applications of multivariate analysis to monitoring of equipment health in semiconductor manufacturing.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

2007
Biological network mapping and source signal deduction.
Bioinform., 2007

2006
Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

The Development of Information Guided Evolution Algorithm for Global Optimization.
J. Glob. Optim., 2006

2004
Solution of trim-loss problem by an integrated simulated annealing and ordinal optimization approach.
J. Intell. Manuf., 2004

2003
An Experimental Study of Model Predictive Control Based on Artificial Neural Networks.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2001
Predictive control of batch processes using principal surface/space analysis and fuzzy clustering empirical models.
Proceedings of the American Control Conference, 2001


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