Ping Li

Soft Chemical Analyzer Development Using Adaptive Least-Squares Support Vector Regression with Selective Pruning and Variable Moving Window Size

Haiqing Wang, Yi Liu, N. Hu, 2009 .

Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes

Zengliang Gao, Haiqing Wang, Yi Liu, 2012 .

Modeling of fermentation processes using online kernel learning algorithm

Haiqing Wang, Yi Liu, Ping Li, 2008 .

PLS-based optimal quality control model for TE process

Li Ping, Wang Hai-qing, Song Kai, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Whole flow field performance prediction by impeller parameters of centrifugal pumps using support vector regression

Yi Liu, Ping Li, Hongying Deng, 2017, Adv. Eng. Softw..

Probabilistic Modeling and Prediction of Dynamic Discharge Process in Multiphase Pumps

Yi Liu, Ping Li, Hongying Deng, 2019, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN.

Hybrid model for discharge flow rate prediction of reciprocating multiphase pumps

Yi Liu, Ping Li, Hongying Deng, 2018, Adv. Eng. Softw..

Improved Online Prediction of Silicon Content in Ironmaking Process Using Support Vector Regression with Novel Outlier Detection

Yi Liu, Zeng Liang Gao, Ping Li, 2010 .