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2020 – today
- 2025
[j34]Li Bailin, Chen Ao, Panqi Wu, Zhang Chao, Wenlong Fu:
Application of discrete random forest algorithm in multi-person asynchronous parallel disassembly sequence planning for hydropower station equipment maintenance. J. Supercomput. 81(1): 7 (2025)- 2024
- [j33]Wenlong Fu
, Ke Yang, Bin Wen, Yahui Shan, Shuai Li, Bo Zheng:
Rotating Machinery Fault Diagnosis with Limited Multisensor Fusion Samples by Fused Attention-Guided Wasserstein GAN. Symmetry 16(3): 285 (2024) - [j32]Yuguang Huang, Bin Wen, Weiqing Liao, Yahui Shan, Wenlong Fu, Renming Wang:
Image Enhancement Based on Dual-Branch Generative Adversarial Network Combining Spatial and Frequency Domain Information for Imbalanced Fault Diagnosis of Rolling Bearing. Symmetry 16(5): 512 (2024) - [j31]Wenlong Fu, Jiayu Li, Yunning Zhang, Weixi Du, Xi Chen:
Design and Performance Analysis of a Non-Isolated DC-DC Converter With a Fractional-Order Output Filtering Capacitor. IEEE Trans. Circuits Syst. II Express Briefs 71(9): 4336-4340 (2024) - [j30]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54(2): 1119-1132 (2024) - [j29]Yunning Zhang, Xun Tu, Wenlong Fu, YiHeng Gao, Xi Chen, Lei Zhang:
A Novel Collusion Combination Cyberattack Strategy Against Integrated Energy System. IEEE Trans. Ind. Informatics 20(11): 12669-12683 (2024) - 2023
- [j28]Yunning Zhang, Xuexin Xie, Wenlong Fu, Xi Chen, Songlin Hu, Lei Zhang, Yuhang Xia:
An Optimal Combining Attack Strategy Against Economic Dispatch of Integrated Energy System. IEEE Trans. Circuits Syst. II Express Briefs 70(1): 246-250 (2023) - [j27]Wenlong Fu, Xing Liu, Fanwu Chu, Bailin Li, Jiahao Gu:
A disassembly sequence planning method with improved discrete grey wolf optimizer for equipment maintenance in hydropower station. J. Supercomput. 79(4): 4351-4382 (2023) - [c41]Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu:
Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification. ICASSP 2023: 1-5 - [i1]Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu:
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification. CoRR abs/2303.09035 (2023) - 2022
- [j26]Panqi Wu, Huanhe Wang, Bailin Li, Wenlong Fu, Jie Ren, Qiang He:
Disassembly sequence planning and application using simplified discrete gravitational search algorithm for equipment maintenance in hydropower station. Expert Syst. Appl. 208: 118046 (2022) - [j25]Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen:
NHNet: A non-local hierarchical network for image denoising. IET Image Process. 16(9): 2446-2456 (2022) - [c40]Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler:
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ 2022: 188-201 - 2021
- [j24]Jiahong Zhang, Yonggui Zhu, Wenyi Li, Wenlong Fu, Lihong Cao:
DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising. IEEE Access 9: 79936-79946 (2021) - [j23]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features. Appl. Soft Comput. 103: 107172 (2021) - [j22]Huibin Shi, Wenlong Fu, Bailin Li, Kaixuan Shao, Duanhao Yang:
Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization. Entropy 23(5): 527 (2021) - [j21]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212: 106597 (2021) - [c39]Yiwen Ding, Wenlong Fu, Lihong Cao:
Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA. ICCT 2021: 1008-1012 - 2020
- [j20]Wenlong Fu, Kaixuan Shao, Jiawen Tan, Kai Wang:
Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization. IEEE Access 8: 13086-13104 (2020) - [j19]Feng Zou, Wenlong Fu, Ping Fang, Dongzhen Xiong, Renming Wang:
A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting. IEEE Access 8: 222931-222943 (2020) - [j18]Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao:
Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM. Complex. 2020: 4516132:1-4516132:20 (2020) - [j17]Wenlong Fu, QiPeng Lu:
Multiobjective Optimal Control of FOPID Controller for Hydraulic Turbine Governing Systems Based on Reinforced Multiobjective Harris Hawks Optimization Coupling with Hybrid Strategies. Complex. 2020: 9274980:1-9274980:17 (2020) - [j16]Ruoheng Wang, Chaoshun Li, Wenlong Fu, Geng Tang:
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3814-3827 (2020)
2010 – 2019
- 2019
- [j15]Wenlong Fu, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, Kai Wang:
Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery. Complex. 2019: 3264969:1-3264969:17 (2019) - [j14]Chu Zhang, Tian Peng, Chaoshun Li, Wenlong Fu, Xin Xia, Xiaoming Xue:
Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions. Complex. 2019: 5826873:1-5826873:18 (2019) - [j13]Wenlong Fu, Jiawen Tan, Yanhe Xu, Kai Wang, Tie Chen:
Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO. Entropy 21(4): 404 (2019) - [j12]Wenlong Fu, Mengjie Zhang, Mark Johnston:
Bayesian genetic programming for edge detection. Soft Comput. 23(12): 4097-4112 (2019) - [j11]Jiangzhou Cheng, Cai Zhu, Wenlong Fu, Canxia Wang, Jing Sun:
An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network. Trans. Inst. Meas. Control 41(12): 3406-3420 (2019) - [j10]Wenlong Fu, Kai Wang, Chu Zhang, Jiawen Tan:
A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine. Trans. Inst. Meas. Control 41(15): 4436-4449 (2019) - [c38]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. CEC 2019: 2260-2267 - [c37]Huan Liang, Wenlong Fu, Fengji Yi:
A Survey of Recent Advances in Transfer Learning. ICCT 2019: 1516-1523 - [c36]Zexuan Yi, Wenlong Fu, Lihong Cao:
Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA. ICCT 2019: 1535-1539 - 2018
- [j9]Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston:
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13(4): 46-58 (2018) - [j8]Wenlong Fu, Jiawen Tan, Chaoshun Li, Zubing Zou, Qiankun Li, Tie Chen:
A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm. Entropy 20(9): 626 (2018) - [j7]Jianzhong Zhou, Wenlong Fu, Yongchuan Zhang, Han Xiao, Jian Xiao, Chu Zhang:
Fault diagnosis based on a novel weighted support vector data description with fuzzy adaptive threshold decision. Trans. Inst. Meas. Control 40(1): 71-79 (2018) - 2017
- [c35]Xinyi Zhou, Wei Gong, Wenlong Fu, Fengtong Du:
Application of deep learning in object detection. ICIS 2017: 631-634 - [c34]Wenlong Fu, Bing Xue, Mengjie Zhang, Xiaoying Gao:
Transductive Transfer Learning in Genetic Programming for Document Classification. SEAL 2017: 556-568 - 2016
- [j6]Yang Zheng, Jianzhong Zhou, Wenlong Zhu, Chu Zhang, Chaoshun Li, Wenlong Fu:
Design of a multi-mode intelligent model predictive control strategy for hydroelectric generating unit. Neurocomputing 207: 287-299 (2016) - [j5]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection: a Gaussian-based approach. Soft Comput. 20(3): 1231-1248 (2016) - [c33]Wenlong Fu, Lianjing Jin, Wei Gong, Kemin Wang:
The research of retrieval keyword analysis on stage's design knowledge base. ICIS 2016: 1-4 - [c32]Wenlong Fu, Yaguang Wang, Aina Sui, Mengyi Wu:
Research and implementation of knowledge base system for stage art design. ICIS 2016: 1-6 - [c31]Xinyi Zhou, Wei Gong, Wenlong Fu, Lianjing Jin:
An improved method for LSB based color image steganography combined with cryptography. ICIS 2016: 1-4 - 2015
- [j4]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Distribution-based invariant feature construction using genetic programming for edge detection. Soft Comput. 19(8): 2371-2389 (2015) - [c30]Lianjing Jin, Wei Gong, Wenlong Fu, Hongbin Wu:
A Text Classifier of English Movie Reviews Based on Information Gain. ACIT-CSI 2015: 454-457 - [c29]Yaguang Wang, Wenlong Fu, Aina Sui, Yuqing Ding:
Comparison of Four Text Classifiers on Movie Reviews. ACIT-CSI 2015: 495-498 - [c28]Wenlong Fu, Mengjie Zhang, Mark Johnston:
Genetic Programming for Extracting Edge Features Using Two Blocks. AusDM 2015: 141-150 - 2014
- [b1]Wenlong Fu:
Feature Extraction in Edge Detection using Genetic Programming. Victoria University of Wellington, New Zealand, 2014 - [j3]Xiaoyue Chen, Jianzhong Zhou, Jian Xiao, Xinxin Zhang, Han Xiao, Wenlong Zhu, Wenlong Fu:
Fault diagnosis based on dependent feature vector and probability neural network for rolling element bearings. Appl. Math. Comput. 247: 835-847 (2014) - [j2]Xiaowen Liang, Wei Gong, Wenlong Fu, Jing Qi:
A Selection Algorithm of Training Set Based on Similar Classification. J. Softw. 9(3): 726-731 (2014) - [j1]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Low-Level Feature Extraction for Edge Detection Using Genetic Programming. IEEE Trans. Cybern. 44(8): 1459-1472 (2014) - [c27]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Unsupervised learning for edge detection using Genetic Programming. IEEE Congress on Evolutionary Computation 2014: 117-124 - [c26]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming? EvoApplications 2014: 451-463 - [c25]Bing Xue, Wenlong Fu, Mengjie Zhang:
Differential evolution (DE) for multi-objective feature selection in classification. GECCO (Companion) 2014: 83-84 - [c24]Bing Xue, Wenlong Fu, Mengjie Zhang:
Multi-objective Feature Selection in Classification: A Differential Evolution Approach. SEAL 2014: 516-528 - [c23]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Automatic Resolution Selection for Edge Detection Using Genetic Programming. SEAL 2014: 810-821 - 2013
- [c22]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Triangular-distribution-based feature construction using Genetic Programming for edge detection. IEEE Congress on Evolutionary Computation 2013: 1732-1739 - [c21]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic Programming for Automatic Construction of Variant Features in Edge Detection. EvoApplications 2013: 354-364 - [c20]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. EvoApplications 2013: 365-375 - [c19]Wenlong Fu, Tingsong Du:
A new branch and bound algorithm for noncovex quadratic programming with box constraints. FSKD 2013: 562-566 - [c18]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection using multivariate density. GECCO 2013: 917-924 - [c17]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Investigation of low-level edge feature extraction using three blocks. IVCNZ 2013: 293-298 - [c16]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation. IVCNZ 2013: 328-333 - 2012
- [c15]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. Australasian Conference on Artificial Intelligence 2012: 144-155 - [c14]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection via balancing individual training images. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c13]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Soft edge maps from edge detectors evolved by genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c12]Peng Yu, Zhengtao Jiang, Wenlong Fu:
An Object-oriented Fine-grained RBAC Model. CSO 2012: 601-604 - [c11]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection using blocks to extract features. GECCO 2012: 855-862 - [c10]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection based on figure of merit. GECCO (Companion) 2012: 1483-1484 - [c9]Tingsong Du, Wenlong Fu:
Global minimization simplicial algorithm for concave minorant optimization problem. ICNC 2012: 1177-1180 - [c8]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Multi-frequency transformation for edge detection. IVCNZ 2012: 204-209 - [c7]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. SEAL 2012: 22-31 - 2011
- [c6]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. Australasian Conference on Artificial Intelligence 2011: 301-310 - [c5]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation 2011: 254-261 - [c4]Wenlong Fu, Mark Johnston, Mengjie Zhang:
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) 2011: 173-182 - [c3]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Hybrid particle swarm optimisation based on history information sharing. GECCO 2011: 77-84 - 2010
- [c2]Wenlong Fu, Mark Johnston, Mengjie Zhang:
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search. Australasian Conference on Artificial Intelligence 2010: 313-322
2000 – 2009
- 2008
- [c1]Jing Liu, Wenlong Fu, Weicai Zhong:
Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems. SEAL 2008: 462-472
Coauthor Index
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