Yi Liu

Yi Liu, Haiqing Wang, Diancai Yang, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Adaptive control of a class of nonlinear discrete-time systems with online kernel learning

Haiqing Wang, Yi Liu, Ping Li, 2008 .

Modeling of fermentation processes using online kernel learning algorithm

Haiqing Wang, Yi Liu, Ping Li, 2008 .

Just-in-time semi-supervised soft sensor for quality prediction in industrial rubber mixers

Yi Liu, Jianguo Yang, Zengliang Gao, 2018, Chemometrics and Intelligent Laboratory Systems.

Online Semi-supervised Quality Prediction Model for Batch Mixing Process

You Wu, Yi Liu, Xuelei Zhang, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

Industrial Mooney viscosity prediction using fast semi-supervised empirical model

Xuejin Gao, Jianguo Yang, Zengliang Gao, 2017 .

Kernel learning adaptive one‐step‐ahead predictive control for nonlinear processes

Ping Li, Yi Liu, Haiqing Wang, 2008 .

Selective recursive kernel learning for online identification of nonlinear systems with NARX form

Ping Li, Haiqing Wang, Yi Liu, 2010 .

Just-in-time Kernel Classifier for Online Process Diagnosis

Yi Liu, Wenlu Chen, Yi Liu, 2013 .

Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models

Kaixin Liu, Yi Liu, Zengliang Gao, 2019, Sensors.

Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes

Chao Yang, Yuan Yao, Zengliang Gao, 2018 .

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..

Online Flooding Supervision in Packed Towers: An Integrated Data‐Driven Statistical Monitoring Method

Yuan Yao, Yi Liu, Yu Liang, 2018 .

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..

Two-Stage Hybrid Model for Efficiency Prediction of Centrifugal Pump

H. Deng, Yi Liu, Shuihua Zheng, 2022, Sensors.

Actively Exploring Informative Data for Smart Modeling of Industrial Multiphase Flow Processes

Hongying Deng, Shengchang Zhang, Yi Liu, 2021, IEEE Transactions on Industrial Informatics.

Just-in-Time Correntropy Soft Sensor with Noisy Data for Industrial Silicon Content Prediction

Yi Liu, Kun Chen, Yu Liang, 2017, Sensors.

Adaptive Weighting Just-in-Time-Learning Quality Prediction Model for an Industrial Blast Furnace

Yi Liu, Kun Chen, Kun Chen, 2017 .

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 .

Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes

Shuihua Zheng, Kaixin Liu, Yili Xu, 2020, Sensors.

Real-time property prediction for an industrial rubber-mixing process with probabilistic ensemble Gaussian process regression models

Yi Liu, Zengliang Gao, Zengliang Gao, 2015 .