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Guoqiang Li 0002
Person information
- affiliation: Yanshan University, Qinhuangdao, China
Other persons with the same name
- Guoqiang Li — disambiguation page
- Guoqiang Li 0001 — Shanghai Jiao Tong University, School of Software, China (and 2 more)
- Guoqiang Li 0003 — Beijing institute of Technology, China (and 1 more)
- Guoqiang Li 0004 — Chinese Academy of Sciences, Institute of Acoustics, Beijing, China
- Guoqiang Li 0005 — Chinese Academy of Medical Sciences, Institute of Medicinal Plant Development, China
- Guoqiang Li 0006 — Beijing University of Posts and Telecommunications, China
- Guoqiang Li 0007 — Norwegian University of Science and Technology, Gjøvik, Norway
- Guoqiang Li 0008 — Huawei Technologies, Shenzhen, China
- Guoqiang Li 0009 — University of Kaiserslautern, Kaiserslautern, Germany
- Guoqiang Li 0010 — Fudan University, Shanghai, China
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2020 – today
- 2023
- [j33]Guoqiang Li, Bowen Liu, Anbang Chen:
DDFP: A data driven filter pruning method with pruning compensation. J. Vis. Commun. Image Represent. 94: 103833 (2023) - [j32]Guoqiang Li, Anbang Chen, Bowen Liu:
Multiple sparse spaces network pruning via a joint similarity criterion. Int. J. Mach. Learn. Cybern. 14(12): 4079-4099 (2023) - 2022
- [j31]Linlin Zha, Kai Ma, Guoqiang Li, Qi Fang, Xiaobin Hu:
A robust double-parallel extreme learning machine based on an improved M-estimation algorithm. Adv. Eng. Informatics 52: 101606 (2022) - [j30]Linlin Zha, Kai Ma, Guoqiang Li, Jie Yang, Qi Fang:
An improved extreme learning machine with self-recurrent hidden layer. Adv. Eng. Informatics 54: 101736 (2022) - [j29]Guoqiang Li, Xinyu Hao, Linlin Zha, Anbang Chen:
An outstanding adaptive multi-feature fusion YOLOv3 algorithm for the small target detection in remote sensing images. Pattern Anal. Appl. 25(4): 951-962 (2022) - [j28]Guoqiang Li, Qi Fang, Linlin Zha, Xin Gao, Nenggan Zheng:
HAM: Hybrid attention module in deep convolutional neural networks for image classification. Pattern Recognit. 129: 108785 (2022) - 2021
- [j27]Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang, Linlin Zha:
A generative adversarial neural network model for industrial boiler data repair. Appl. Soft Comput. 104: 107214 (2021)
2010 – 2019
- 2019
- [j26]Kai Ma, Xuemei Liu, Guoqiang Li, Shubing Hu, Jie Yang, Xinping Guan:
Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning. Eng. Appl. Artif. Intell. 81: 29-36 (2019) - [j25]Xinxin Zhang, Peifeng Niu, Xiaobin Hu, Yunpeng Ma, Guoqiang Li:
Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. Neurocomputing 361: 1-9 (2019) - [j24]Peifeng Niu, Jinbai Li, Lingfang Chang, Xianchen Zhang, Rongyan Wang, Guoqiang Li:
A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency. Neural Process. Lett. 49(2): 737-759 (2019) - [j23]Guoqiang Li, Bin Chen, Xiaobin Qi, Lu Zhang:
Circular convolution parallel extreme learning machine for modeling boiler efficiency for a 300 MW CFBB. Soft Comput. 23(15): 6567-6577 (2019) - 2018
- [j22]Yunpeng Ma, Peifeng Niu, Shanshan Yan, Guoqiang Li:
A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model. Appl. Math. Comput. 334: 214-226 (2018) - [j21]Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen:
Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems. J. Intell. Manuf. 29(5): 1133-1153 (2018) - [j20]Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen:
Fast Learning Network with Parallel Layer Perceptrons. Neural Process. Lett. 47(2): 549-564 (2018) - [j19]Peifeng Niu, Yunpeng Ma, Guoqiang Li:
Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine. Soft Comput. 22(14): 4685-4701 (2018) - 2017
- [j18]Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li:
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm. Knowl. Based Syst. 118: 80-92 (2017) - [j17]Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li:
Research and application of quantum-inspired double parallel feed-forward neural network. Knowl. Based Syst. 136: 140-149 (2017) - [j16]Xinxin Zhang, Peifeng Niu, Yunpeng Ma, Yanqiao Wei, Guoqiang Li:
Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition. Neural Networks 94: 67-75 (2017) - [j15]Chao Liu, Peifeng Niu, Guoqiang Li, Xia You, Yunpeng Ma, Weiping Zhang:
A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA. Neural Process. Lett. 45(1): 299-318 (2017) - [j14]Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu:
An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler. Neural Process. Lett. 46(2): 643-662 (2017) - 2016
- [j13]Peifeng Niu, Yunpeng Ma, Mengning Li, Shanshan Yan, Guoqiang Li:
A Kind of Parameters Self-adjusting Extreme Learning Machine. Neural Process. Lett. 44(3): 813-830 (2016) - [j12]Guoqiang Li, Peifeng Niu:
Combustion optimization of a coal-fired boiler with double linear fast learning network. Soft Comput. 20(1): 149-156 (2016) - 2015
- [j11]Peifeng Niu, Chao Liu, Pengfei Li, Guoqiang Li:
Optimized support vector regression model by improved gravitational search algorithm for flatness pattern recognition. Neural Comput. Appl. 26(5): 1167-1177 (2015) - [j10]Xinbin Li, Lu Lu, Lei Liu, Guoqiang Li, Xinping Guan:
Cooperative spectrum sensing based on an efficient adaptive artificial bee colony algorithm. Soft Comput. 19(3): 597-607 (2015) - [c3]Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu, Huihui Hui:
Improved Teaching-Learning-Based Optimization algorithms for function optimization. ICNC 2015: 485-491 - 2014
- [j9]Guoqiang Li, Peifeng Niu, Yunpeng Ma, Hongbin Wang, Weiping Zhang:
Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency. Knowl. Based Syst. 67: 278-289 (2014) - [j8]Guoqiang Li, Peifeng Niu, Xiaolong Duan, Xiangye Zhang:
Fast learning network: a novel artificial neural network with a fast learning speed. Neural Comput. Appl. 24(7-8): 1683-1695 (2014) - [j7]Guoqiang Li, Peifeng Niu, Huaibao Wang, Yongchao Liu:
Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. Neural Networks 51: 57-66 (2014) - 2013
- [j6]Guoqiang Li, Peifeng Niu, Xingjun Xiao:
Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332]. Appl. Soft Comput. 13(4): 2143 (2013) - [j5]Weiping Zhang, Peifeng Niu, Guoqiang Li, Pengfei Li:
Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm. Knowl. Based Syst. 39: 34-44 (2013) - [j4]Guoqiang Li, Peifeng Niu:
An enhanced extreme learning machine based on ridge regression for regression. Neural Comput. Appl. 22(3-4): 803-810 (2013) - [c2]Xu Song, Guoqiang Li, Ying Li, Yanning Zhang:
A Probability-Based Object Tracking Method. IScIDE 2013: 595-602 - 2012
- [j3]Guoqiang Li, Peifeng Niu, Xingjun Xiao:
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization. Appl. Soft Comput. 12(1): 320-332 (2012) - [j2]Guoqiang Li, Peifeng Niu, Chao Liu, Weiping Zhang:
Enhanced combination modeling method for combustion efficiency in coal-fired boilers. Appl. Soft Comput. 12(10): 3132-3140 (2012) - [j1]Guoqiang Li, Peifeng Niu, Weiping Zhang, Yang Zhang:
Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler. Knowl. Based Syst. 35: 35-40 (2012) - [c1]Peifeng Niu, Yunfei Ma, Pengfei Li, Yang Zhang, Guoqiang Li, Xiangye Zhang:
Hybrid Neural Network Based on ART2 - BP Information Fusion Control in Circulating Fluidized Bed Boiler (CFBB). BICS 2012: 278-287
Coauthor Index
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