Wenlong Fu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 39

Top Topics

Genetic Programming

Fault Diagnosis

Rotating Machinery

Document Classification

Top Venues

Publications

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) (2024)
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) (2024)
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54 (2) (2024)
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification. CoRR (2023)
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) (2023)
Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu
Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification. ICASSP (2023)
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) (2023)
Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ (2022)
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 (2022)
Jiahong Zhang, Lihong Cao, Tian Wang, Wenlong Fu, Weiheng Shen
NHNet: A non-local hierarchical network for image denoising. IET Image Process. 16 (9) (2022)
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) (2021)
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212 (2021)
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 (2021)
Yiwen Ding, Wenlong Fu, Lihong Cao
Implementation of Multi-compartment Neuron Model with Synaptic Plasticity Using FPGA. ICCT (2021)
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 (2021)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
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 (2020)
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. CEC (2019)
Wenlong Fu, Mengjie Zhang, Mark Johnston
Bayesian genetic programming for edge detection. Soft Comput. 23 (12) (2019)
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 (2019)
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 (2019)
Zexuan Yi, Wenlong Fu, Lihong Cao
Implementation of Hodgkin-Huxley Spiking Neuron Model Using FPGA. ICCT (2019)
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) (2019)
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) (2019)
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) (2019)
Huan Liang, Wenlong Fu, Fengji Yi
A Survey of Recent Advances in Transfer Learning. ICCT (2019)
Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13 (4) (2018)
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) (2018)
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) (2018)
Wenlong Fu, Bing Xue, Mengjie Zhang, Xiaoying Gao
Transductive Transfer Learning in Genetic Programming for Document Classification. SEAL (2017)
Xinyi Zhou, Wei Gong, Wenlong Fu, Fengtong Du
Application of deep learning in object detection. ICIS (2017)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection: a Gaussian-based approach. Soft Comput. 20 (3) (2016)
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 (2016)
Wenlong Fu, Yaguang Wang, Aina Sui, Mengyi Wu
Research and implementation of knowledge base system for stage art design. ICIS (2016)
Xinyi Zhou, Wei Gong, Wenlong Fu, Lianjing Jin
An improved method for LSB based color image steganography combined with cryptography. ICIS (2016)
Wenlong Fu, Lianjing Jin, Wei Gong, Kemin Wang
The research of retrieval keyword analysis on stage's design knowledge base. ICIS (2016)
Yaguang Wang, Wenlong Fu, Aina Sui, Yuqing Ding
Comparison of Four Text Classifiers on Movie Reviews. ACIT-CSI (2015)
Wenlong Fu, Mengjie Zhang, Mark Johnston
Genetic Programming for Extracting Edge Features Using Two Blocks. AusDM (2015)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Distribution-based invariant feature construction using genetic programming for edge detection. Soft Comput. 19 (8) (2015)
Lianjing Jin, Wei Gong, Wenlong Fu, Hongbin Wu
A Text Classifier of English Movie Reviews Based on Information Gain. ACIT-CSI (2015)
Bing Xue, Wenlong Fu, Mengjie Zhang
Differential evolution (DE) for multi-objective feature selection in classification. GECCO (Companion) (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming? EvoApplications (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Resolution Selection for Edge Detection Using Genetic Programming. SEAL (2014)
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 (2014)
Bing Xue, Wenlong Fu, Mengjie Zhang
Multi-objective Feature Selection in Classification: A Differential Evolution Approach. SEAL (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Unsupervised learning for edge detection using Genetic Programming. IEEE Congress on Evolutionary Computation (2014)
Xiaowen Liang, Wei Gong, Wenlong Fu, Jing Qi
A Selection Algorithm of Training Set Based on Similar Classification. J. Softw. 9 (3) (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Low-Level Feature Extraction for Edge Detection Using Genetic Programming. IEEE Trans. Cybern. 44 (8) (2014)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic Programming for Automatic Construction of Variant Features in Edge Detection. EvoApplications (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation. IVCNZ (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Investigation of low-level edge feature extraction using three blocks. IVCNZ (2013)
Wenlong Fu, Tingsong Du
A new branch and bound algorithm for noncovex quadratic programming with box constraints. FSKD (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. EvoApplications (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection using multivariate density. GECCO (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Triangular-distribution-based feature construction using Genetic Programming for edge detection. IEEE Congress on Evolutionary Computation (2013)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection based on figure of merit. GECCO (Companion) (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Soft edge maps from edge detectors evolved by genetic programming. IEEE Congress on Evolutionary Computation (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection using blocks to extract features. GECCO (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. SEAL (2012)
Tingsong Du, Wenlong Fu
Global minimization simplicial algorithm for concave minorant optimization problem. ICNC (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. Australasian Conference on Artificial Intelligence (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Multi-frequency transformation for edge detection. IVCNZ (2012)
Peng Yu, Zhengtao Jiang, Wenlong Fu
An Object-oriented Fine-grained RBAC Model. CSO (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection via balancing individual training images. IEEE Congress on Evolutionary Computation (2012)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Hybrid particle swarm optimisation based on history information sharing. GECCO (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. Australasian Conference on Artificial Intelligence (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) (2011)
Wenlong Fu, Mark Johnston, Mengjie Zhang
Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search. Australasian Conference on Artificial Intelligence (2010)
Jing Liu, Wenlong Fu, Weicai Zhong
Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems. SEAL (2008)