Guoqiang Li

According to our database, Guoqiang Li authored at least 36 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multiple sparse spaces network pruning via a joint similarity criterion.

Guoqiang Li, Anbang Chen, Bowen Liu

Int. J. Mach. Learn. Cybern., December, 2023

DDFP: A data driven filter pruning method with pruning compensation.

Guoqiang Li, Bowen Liu, Anbang Chen

J. Vis. Commun. Image Represent., 2023

2022

HAM: Hybrid attention module in deep convolutional neural networks for image classification.

Guoqiang Li, Qi Fang, Linlin Zha, Xin Gao, Nenggan Zheng

Pattern Recognit., 2022

An outstanding adaptive multi-feature fusion YOLOv3 algorithm for the small target detection in remote sensing images.

Guoqiang Li, Xinyu Hao, Linlin Zha, Anbang Chen

Pattern Anal. Appl., 2022

An improved extreme learning machine with self-recurrent hidden layer.

Linlin Zha, Kai Ma, Guoqiang Li, Jie Yang, Qi Fang

Adv. Eng. Informatics, 2022

A robust double-parallel extreme learning machine based on an improved M-estimation algorithm.

Linlin Zha, Kai Ma, Guoqiang Li, Qi Fang, Xiaobin Hu

Adv. Eng. Informatics, 2022

2021

A generative adversarial neural network model for industrial boiler data repair.

Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang, Linlin Zha

Appl. Soft Comput., 2021

2019

Circular convolution parallel extreme learning machine for modeling boiler efficiency for a 300 MW CFBB.

Guoqiang Li, Bin Chen, Xiaobin Qi, Lu Zhang

Soft Comput., 2019

A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency.

Peifeng Niu, Jinbai Li, Lingfang Chang, Xianchen Zhang, Rongyan Wang, Guoqiang Li

Neural Process. Lett., 2019

Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy.

Xinxin Zhang, Peifeng Niu, Xiaobin Hu, Yunpeng Ma, Guoqiang Li

Neurocomputing, 2019

Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning.

Kai Ma, Xuemei Liu, Guoqiang Li, Shubing Hu, Jie Yang, Xinping Guan

Eng. Appl. Artif. Intell., 2019

2018

Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine.

Peifeng Niu, Yunpeng Ma, Guoqiang Li

Soft Comput., 2018

Fast Learning Network with Parallel Layer Perceptrons.

Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen

Neural Process. Lett., 2018

Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems.

Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen

J. Intell. Manuf., 2018

A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model.

Yunpeng Ma, Peifeng Niu, Shanshan Yan, Guoqiang Li

Appl. Math. Comput., 2018

2017

A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA.

Chao Liu, Peifeng Niu, Guoqiang Li, Xia You, Yunpeng Ma, Weiping Zhang

Neural Process. Lett., 2017

An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler.

Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu

Neural Process. Lett., 2017

Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition.

Xinxin Zhang, Peifeng Niu, Yunpeng Ma, Yanqiao Wei, Guoqiang Li

Neural Networks, 2017

Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm.

Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li

Knowl. Based Syst., 2017

Research and application of quantum-inspired double parallel feed-forward neural network.

Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li

Knowl. Based Syst., 2017

2016

Combustion optimization of a coal-fired boiler with double linear fast learning network.

Guoqiang Li, Peifeng Niu

Soft Comput., 2016

A Kind of Parameters Self-adjusting Extreme Learning Machine.

Peifeng Niu, Yunpeng Ma, Mengning Li, Shanshan Yan, Guoqiang Li

Neural Process. Lett., 2016

2015

Cooperative spectrum sensing based on an efficient adaptive artificial bee colony algorithm.

Xinbin Li, Lu Lu, Lei Liu, Guoqiang Li, Xinping Guan

Soft Comput., 2015

Optimized support vector regression model by improved gravitational search algorithm for flatness pattern recognition.

Peifeng Niu, Chao Liu, Pengfei Li, Guoqiang Li

Neural Comput. Appl., 2015

Improved Teaching-Learning-Based Optimization algorithms for function optimization.

Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu, Huihui Hui

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler.

Guoqiang Li, Peifeng Niu, Huaibao Wang, Yongchao Liu

Neural Networks, 2014

Fast learning network: a novel artificial neural network with a fast learning speed.

Guoqiang Li, Peifeng Niu, Xiaolong Duan, Xiangye Zhang

Neural Comput. Appl., 2014

Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency.

Guoqiang Li, Peifeng Niu, Yunpeng Ma, Hongbin Wang, Weiping Zhang

Knowl. Based Syst., 2014

2013

An enhanced extreme learning machine based on ridge regression for regression.

Guoqiang Li, Peifeng Niu

Neural Comput. Appl., 2013

Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm.

Weiping Zhang, Peifeng Niu, Guoqiang Li, Pengfei Li

Knowl. Based Syst., 2013

Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332].

Guoqiang Li, Peifeng Niu, Xingjun Xiao

Appl. Soft Comput., 2013

A Probability-Based Object Tracking Method.

Xu Song, Guoqiang Li, Ying Li, Yanning Zhang

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012

Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler.

Guoqiang Li, Peifeng Niu, Weiping Zhang, Yang Zhang

Knowl. Based Syst., 2012

Development and investigation of efficient artificial bee colony algorithm for numerical function optimization.

Guoqiang Li, Peifeng Niu, Xingjun Xiao

Appl. Soft Comput., 2012

Enhanced combination modeling method for combustion efficiency in coal-fired boilers.

Guoqiang Li, Peifeng Niu, Chao Liu, Weiping Zhang

Appl. Soft Comput., 2012

Hybrid Neural Network Based on ART2 - BP Information Fusion Control in Circulating Fluidized Bed Boiler (CFBB).

Peifeng Niu, Yunfei Ma, Pengfei Li, Yang Zhang, Guoqiang Li, Xiangye Zhang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012