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Kun Li 0011
Person information
- affiliation: Liaoning Technical University, Faculty of Electrical and Control Engineering, Huludao, China
- affiliation (2013 - 2021): Bohai University, College of Control Science and Engineering, Jinzhou, China
- affiliation (PhD 2013): Northeastern University of China, Shenyang, China
Other persons with the same name
- Kun Li — disambiguation page
- Kun Li 0001
— Tianjin University, School of Computer Science and Technology, China (and 2 more) - Kun Li 0002
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more) - Kun Li 0003
— Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong (and 1 more) - Kun Li 0004
— University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China - Kun Li 0005
— Beijing Normal University, Business School, China (and 1 more) - Kun Li 0006
— Duke University, Durham, NC, USA - Kun Li 0007
— Tianjin Polytechnic University, School of Economics and Management, China (and 1 more) - Kun Li 0008
— Hefei University of Technology, School of Computer Science and Information Engineering, China - Kun Li 0009
— Wuhan University, School of Computer Science, China
- Kun Li 0010
— Shanghai Key Laboratory of Forensic Medicine and Key Laboratory of Forensic Science, Ministry of Justice, China (and 1 more) - Kun Li 0012
— Beijing University of Chemical Technology, College of Information Science and Technology, China - Kun Li 0013
— Hebei University of Technology, School of Civil and Transportation Engineering, Tianjin, China (and 1 more) - Kun Li 0014
— Xiamen University, Xiamen, China - Kun Li 0015
— City University of Hong Kong, Department of Electrical Engineering, Hong Kong - Kun Li 0016
— Microsoft Research, Beijing, China - Kun Li 0017
— China Academy of Information and Communications Technology, Security Research Institute, Beijing, China (and 1 more) - Kun Li 0018
— Tianjin University, School of Electrical and Information Engineering, China - Kun Li 0019
— Chinese Academy of Sciences, Aerospace Information Research Institute, Key Laboratory of Digital Earth Sciences, Beijing, China - Kun Li 0020
— Beijing Institute of Technology, China - Kun Li 0021
— China University of Petroleum (East China), College of Computer Science and Technology, State Key Laboratory of Deep Oil and Gas, Qingdao, China - Kun Li 0022
— University of Electro-Communications, Advanced Wireless and Communication Research Center, Tokyo, Japan (and 3 more) - Kun Li 0023
— University of Science and Technology of China, Institute of Advanced Technology, Hefei, China - Kun Li 0024
— University of Twente, Faculty of GeoInformation Science and Earth Observation, Enschede, The Netherlands - Kun Li 0025
— Wuhan University, Electronic Information School, China - Kun Li 0026
— Shandong University, School of Computer Science and Technology, Jinan, China (and 1 more) - Kun Li 0027
— Tianjin University, College of Intelligence and Computing, China - Kun Li 0028
— Chongqing University, School of Automation, Star Institute of Intelligent Systems, China - Kun Li 0029
— Guizhou University, College of Big Data and Information Engineering, Guiyang, China (and 1 more) - Kun Li 0030
— University of Warwick, Department of Computer Science, Coventry, UK (and 1 more) - Kun Li 0032
— Zhejiang University, College of Biomedical Engineering and Instrument Science, Hangzhou, China
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2020 – today
- 2025
[j20]Kun Li, Xu Zhong
, Ying Han:
Pcb defect detection based on a novel dual-domain high-frequency adaptive enhanced pooling method. Clust. Comput. 28(11): 707 (2025)
[j19]Ying Han
, Yuanhao Yu, Hao Wu, Kun Li
:
Multi-level optimizing of parameters in stochastic configuration networks based on cloud model and nutcracker optimization algorithm. Inf. Sci. 689: 121495 (2025)
[j18]Ying Han, Yuanhao Yu, Kun Li:
Adaptive inertia weights: an effective way to improve parameter estimation of hidden layer in stochastic configuration networks. Int. J. Mach. Learn. Cybern. 16(4): 2203-2218 (2025)
[j17]Kun Li
, Xu Zhong
, Ying Han
:
A High-Performance Small Target Defect Detection Method for PCB Boards Based on a Novel YOLO-DFA Algorithm. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)- 2024
[j16]Kun Li
, Hao Wu, Xinming Liu, Jianing Xu, Ying Han
:
Intelligent Diagnosis of Rolling Bearing Based on ICEEMDAN-WTD of Noise Reduction and Multi-Strategy Fusion Optimization SCNs. IEEE Access 12: 36908-36923 (2024)
[j15]Kun Li
, Xinxin Yan, Ying Han
:
Multi-mechanism swarm optimization for multi-UAV task assignment and path planning in transmission line inspection under multi-wind field. Appl. Soft Comput. 150: 111033 (2024)
[j14]Kun Li
, Minggang Yang
, Ying Han
, Jianing Xu
:
Wireless Regulated Voltage Charging With Coil Offset Conditions Using Rule Transfer-Based Fuzzy Controller. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)
[j13]Ying Han
, Xinping Song, Jinmei Shi
, Kun Li
:
KPCA-WPHM-SCNs-based remaining useful life prediction method for motor rolling bearings. Trans. Inst. Meas. Control 46(5): 973-991 (2024)
[c3]Xu Zhong
, Kun Li
:
A PCB bare board defects detection method based on dual-domain wavelet-YOLO. EITCE 2024: 1235-1240
[c2]Fuguo Jin
, Xinyu Chen
, Xiangyu Lei
, Kun Li
:
Multi-objective optimization model at park level considering economy and PV uptake rate. EITCE 2024: 1512-1516- 2023
[j12]Kun Li
, Xiang Zhang, Ying Han
:
Robot Path Planning Based on Interval Type-2 Fuzzy Controller Optimized by an Improved Aquila Optimization Algorithm. IEEE Access 11: 111655-111671 (2023)
[c1]Yayu Liu
, Kun Li
:
Interval prediction for wind speed based on box-plot data processing and optimized integrated modeling. EITCE 2023: 1081-1086- 2022
[j11]Li Zhang, Yuqin Zhu, Hao Wu, Kun Li
:
An Optimized Multisource Bilinear Convolutional Neural Network Model for Flame Image Identification of Coal Mine. IEEE Access 10: 47284-47300 (2022)
[j10]Kun Li
, Xinxin Yan, Ying Han, Fawei Ge, Yu Jiang:
Many-objective optimization based path planning of multiple UAVs in oilfield inspection. Appl. Intell. 52(11): 12668-12683 (2022)
[j9]Fawei Ge, Kun Li
, Ying Han
:
Solving interval many-objective optimization problems by combination of NSGA-III and a local fruit fly optimization algorithm. Appl. Soft Comput. 114: 108096 (2022)
[j8]Jinmei Shi
, Yu-Beng Leau
, Kun Li:
SAVE-AS: Accelerating convergence in network traffic prediction through adaptive optimized variational mode decomposition and an integrated extreme learning machine. Int. J. Commun. Syst. 35(10) (2022)
[j7]Hao Wu, Aihua Zhang, Ying Han
, Juan Nan, Kun Li
:
Fast stochastic configuration network based on an improved sparrow search algorithm for fire flame recognition. Knowl. Based Syst. 245: 108626 (2022)- 2021
[j6]Jinmei Shi
, Yu-Beng Leau
, Kun Li
, Huandong Chen:
Optimal Variational Mode Decomposition and Integrated Extreme Learning Machine for Network Traffic Prediction. IEEE Access 9: 51818-51831 (2021)- 2020
[j5]Jinmei Shi
, Yu-Beng Leau
, Kun Li
, Yong-Jin Park
, Zhiwei Yan:
Optimization and Decomposition Methods in Network Traffic Prediction Model: A Review and Discussion. IEEE Access 8: 202858-202871 (2020)
[j4]Fawei Ge, Kun Li
, Ying Han, Wensu Xu, Yi'an Wang:
Path planning of UAV for oilfield inspections in a three-dimensional dynamic environment with moving obstacles based on an improved pigeon-inspired optimization algorithm. Appl. Intell. 50(9): 2800-2817 (2020)
[j3]Ying Wang, Kun Li
, Ying Han, Fawei Ge, Wensu Xu, Liang Liu:
Tracking a dynamic invading target by UAV in oilfield inspection via an improved bat algorithm. Appl. Soft Comput. 90: 106150 (2020)
[j2]Kun Li
, Wensu Xu, Ying Han, Fawei Ge, Yi'an Wang:
Soft sensor for the moisture content of crude oil based on multi-kernel Gaussian process regression optimized by an adaptive variable population fruit fly optimization algorithm. Trans. Inst. Meas. Control 42(4): 770-785 (2020)
2010 – 2019
- 2019
[j1]Ying Han, Yuanwei Jing, Kun Li
, Georgi M. Dimirovski
:
Network Traffic Prediction Using Variational Mode Decomposition and Multi- Reservoirs Echo State Network. IEEE Access 7: 138364-138377 (2019)
Coauthor Index

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last updated on 2026-07-18 01:29 CEST by the dblp team
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