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ORCIDHong Li 0007
Person information
- affiliation: Xidian University, School of Mathematics and Statistics, National Key Laboratory of Antennas and Microwave Technology, Xi'an, China
Other persons with the same name
- Hong Li — disambiguation page
- Hong Li 0001 — DFKI, Language Technology Lab, Saarbrücken, Germany
- Hong Li 0002
![[0000-0002-8117-8980]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8117-8980")
— Beijing Jiaotong University, School of Electrical Engineering, China (and 1 more) - Hong Li 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Hong Li 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing Key Laboratory of IOT Information Security, China
- Hong Li 0005 — Xianyang Normal University, School of Computer Science, China (and 1 more)
- Hong Li 0006 — Inner Mongolia University, School of Mathematical Sciences, Hohhot, China
- Hong Li 0008 — University of Lapland, Rovaniemi, Finland
- Hong Li 0009 — Huazhong University of Science and Technology, School of Mathematics and Statistics, Wuhan, China
- Hong Li 0010 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Hong Li 0011 — New Jersey Institute of Technology, Center for Wireless Communication and Signal Processing Research, Newark, NJ, USA
- Hong Li 0012 — NXP Semiconductors, Eindhoven, The Netherlands (and 3 more)
- Hong Li 0013 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, Key Laboratory of Computational Biology, China
- Hong Li 0014 — East Carolina University, Department of Information Management Systems, Greenville, NC, USA
- Hong Li 0015 — Shanghai Jiao Tong University, Shanghai, China (and 2 more)
- Hong Li 0016 — Beihang University, Beijing, China
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2020 – today
- 2024
[j24]Lulu Zhang, Weifeng Gao, Jin Xie, Hong Li:
An ordinary differential equation for modeling Halpern fixed-point algorithm. Appl. Math. Lett. 148: 108889 (2024)- [j23]Hong Li, Lixia Bai, Weifeng Gao, Jin Xie, Lingling Huang:
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks. Expert Syst. Appl. 246: 123186 (2024) - [j22]Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li:
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems. IEEE Internet Things J. 11(4): 6916-6927 (2024) - [j21]Menghao Tan, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9153-9165 (2024) - [j20]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Hong Li, Maoguo Gong:
Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1540-1549 (2024) - [j19]Weifeng Gao, Menghao Tan, Hong Li, Jin Xie, Xiaoli Gao, Maoguo Gong:
CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- [j18]Lixia Bai, Hong Li, Weifeng Gao, Jin Xie, Houqiang Wang:
A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification. Inf. Sci. 626: 457-473 (2023) - [j17]Hong Li, Weifeng Gao, Jin Xie, Gary G. Yen:
Multiobjective bilevel programming model for multilayer perceptron neural networks. Inf. Sci. 642: 119031 (2023) - [j16]Lingling Liu, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Property of decision variables-inspired location strategy for multiobjective optimization. Swarm Evol. Comput. 77: 101226 (2023) - [j15]Yangfei Yuan, Weifeng Gao, Lingling Huang, Hong Li, Jin Xie:
A Two-Phase Constraint-Handling Technique for Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6194-6203 (2023) - 2022
- [j14]Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie:
A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. Inf. Sci. 611: 649-659 (2022) - [j13]Jin Xie, San Yang Liu, Jiaxi Chen, Weifeng Gao, Hong Li, Ranran Xiong:
A finite time discrete distributed learning algorithm using stochastic configuration network. Inf. Sci. 613: 33-49 (2022) - [j12]Hong Li, Li Zhang:
A hybrid heuristic approach with adaptive scalarization for linear semivectorial bilevel programming and its application. Memetic Comput. 14(4): 433-449 (2022) - [j11]Lixia Bai, Hong Li, Weifeng Gao, Jin Xie:
A cooperative genetic algorithm based on extreme learning machine for data classification. Soft Comput. 26(17): 8585-8601 (2022) - [j10]Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie:
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 818-827 (2022) - [c11]Hong Li, Houqiang Wang:
A bi-level training approach based on extreme learning machine autoencoder for data classification. CIS 2022: 171-175 - 2021
- [j9]Hong Li, Li Zhang:
An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm. Soft Comput. 25(13): 8241-8261 (2021) - [j8]Hong Li, Li Zhang:
A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4901-4915 (2021) - [c10]Tianqi Huang, Weifeng Gao, Hong Li, Jin Xie:
A Voronoi Neighborhood Based Differential Evolution Algorithm for Multimodal Multi-objective Optimization. CCIS 2021: 128-133 - [c9]Lixia Bai, Hong Li, Weifeng Gao:
A Selective Ensemble Classifier Using Multiobjective Optimization Based Extreme Learning Machine Algorithm. CIS 2021: 40-44
2010 – 2019
- 2019
- [j7]Li Zhang, Hong Li, Xianguang Kong:
Evolving feedforward artificial neural networks using a two-stage approach. Neurocomputing 360: 25-36 (2019) - [j6]Li Zhang, Hong Li:
A mixed-coding adaptive differential evolution for optimising the architecture and parameters of feedforward neural networks. Int. J. Sens. Networks 29(4): 262-274 (2019) - [c8]Hong Li, Li Zhang, Hecheng Li:
Modified NSGA-II Based Interactive Algorithm for Linear Multiobjective Bilevel Programs. CIS 2019: 406-410 - 2017
- [c7]Li Zhang, Hong Li:
BPSOBDE: A Binary Version of Hybrid Heuristic Algorithm for Multidimensional Knapsack Problems. CIS 2017: 54-58 - 2016
- [j5]Hong Li, Li Zhang, Yong-Chang Jiao:
An interactive approach based on a discrete differential evolution algorithm for a class of integer bilevel programming problems. Int. J. Syst. Sci. 47(10): 2330-2341 (2016) - [j4]Hong Li, Qingfu Zhang, Qin Chen, Li Zhang, Yong-Chang Jiao:
Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems. Knowl. Based Syst. 107: 271-288 (2016) - 2015
- [c6]Hong Li, Li Zhang:
Solving Linear Bilevel Programming Problems Using a Binary Differential Evolution. CIS 2015: 38-42 - 2013
- [j3]Yan-Yan Tan, Yong-Chang Jiao, Hong Li, Xin-Kuan Wang:
MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives. Comput. Oper. Res. 40(6): 1648-1660 (2013) - [c5]Hong Li, Li Zhang:
A Differential Evolution with Two Mutation Strategies for Linear Bilevel Programming Problems. CIS 2013: 55-60 - 2012
- [j2]Yan-Yan Tan, Yong-Chang Jiao, Hong Li, Xin-Kuan Wang:
A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets. Inf. Sci. 213: 14-38 (2012)
2000 – 2009
- 2009
- [c4]Li Zhang, Yong-Chang Jiao, Hong Li, Fushun Zhang:
Hybrid differential evolution and the simplified quadratic interpolation for global optimization. GEC Summit 2009: 1049-1052 - 2007
- [c3]Hong Li, Yong-Chang Jiao, Li Zhang, Fushun Zhang:
Global Optimization Method Based on the Statistical Genetic Algorithm for Solving Nonlinear Bilevel Programming Problems. CIS 2007: 96-100 - 2006
- [c2]Hong Li, Yong-Chang Jiao, Li Zhang, Ze-Wei Gu:
Genetic Algorithm Based on the Orthogonal Design for Multidimensional Knapsack Problems. ICNC (1) 2006: 696-705 - 2005
- [j1]Yuping Wang, Yong-Chang Jiao, Hong Li:
An evolutionary algorithm for solving nonlinear bilevel programming based on a new constraint-handling scheme. IEEE Trans. Syst. Man Cybern. Part C 35(2): 221-232 (2005) - [c1]Hong Li, Yong-Chang Jiao, Yuping Wang:
Integrating the Simplified Interpolation into the Genetic Algorithm for Constrained Optimization Problems. CIS (1) 2005: 247-254
Coauthor Index
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