Q. Peter He

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 13

Top Topics

Semiconductor Manufacturing

Machine Learning

Statistical Learning

Top Venues

Comput. Chem. Eng.

Publications

Jisung Jang, Di Tian, Q. Peter He
Model-based Irrigation Control using Model Predictive Control and DSSAT Crop Simulator. ACC (2022)
Kiumars Badr, Q. Peter He, Jin Wang
. ACC (2022)
Alexander J. Summers, Houshang Yin, Ralf D. Fischer, Barton C. Prorok, Xiaoyuan Lou, Q. Peter He
. ACC (2022)
Kerul Suthar, Q. Peter He
Multiclass moisture classification in woodchips using IIoT Wi-Fi and machine learning techniques. Comput. Chem. Eng. 154 (2021)
Devarshi Shah, Jin Wang, Q. Peter He
Feature engineering in big data analytics for IoT-enabled smart manufacturing - Comparison between deep learning and statistical learning. Comput. Chem. Eng. 141 (2020)
Jangwon Lee, Jesus Flores-Cerrillo, Jin Wang, Q. Peter He
A Variable Selection Method for Improving Variable Selection Consistency and Soft Sensor Performance. ACC (2020)
Kerul Suthar, Jin Wang, Zhihua Jiang, Q. Peter He
Using Channel State Information for Estimating Moisture Content in Woodchips via 5 GHz Wi-Fi. ACC (2020)
Feifan Cheng, Q. Peter He, Jinsong Zhao
A novel process monitoring approach based on variational recurrent autoencoder. Comput. Chem. Eng. 129 (2019)
Q. Peter He, Jin Wang, Devarshi Shah
Feature space monitoring for smart manufacturing via statistics pattern analysis. Comput. Chem. Eng. 126 (2019)
Jangwon Lee, Q. Peter He
Understanding the effect of specialization on hospital performance through knowledge-guided machine learning. Comput. Chem. Eng. 125 (2019)
Kerul Suthar, Devarshi Shah, Jin Wang, Q. Peter He
Next-generation virtual metrology for semiconductor manufacturing: A feature-based framework. Comput. Chem. Eng. 127 (2019)
Kyle A. Stone, Devarshi Shah, Q. Peter He, Jin Wang
A new application of data-driven soft sensor: Estimating individual biomass in mixed cultures. ACC (2017)
Q. Peter He, Jin Wang
Statistical process monitoring in the era of smart manufacturing. ACC (2017)
Q. Peter He, Jin Wang
Quantification of valve stiction based on a semi-physical model. ACC (2013)
Jin Wang, Q. Peter He, Thomas F. Edgar
Improved state estimation for high-mix semiconductor manufacturing. ACC (2013)
Meng Liang, Q. Peter He, Thomas W. Jeffries, Jin Wang
Elucidating xylose metabolism of scheffersomyces stipitis by integrating principal component analysis with flux balance analysis. ACC (2013)
Jin Wang, Q. Peter He, Thomas F. Edgar
Control performance assessment and diagnosis for semiconductor processes. ACC (2010)
Q. Peter He, Jin Wang
Comparison of a new spectrum alignment algorithm with other methods. ACC (2010)
Q. Peter He, Jin Wang
Principal component based k-nearest-neighbor rule for semiconductor process fault detection. ACC (2008)
Jin Wang, Q. Peter He
EWMA run-to-run controllers with gain updating: Stability and sensitivity analysis. ACC (2008)
Jin Wang, Q. Peter He, Thomas F. Edgar
A General Framework for State Estimation in High-Mix Semiconductor Manufacturing. ACC (2007)
Christopher A. Bode, Jin Wang, Q. Peter He, Thomas F. Edgar
Run-to-run control and state estimation in high-mix semiconductor manufacturing. Annu. Rev. Control. 31 (2) (2007)