Chunguo Wu

Orcid: 0000-0002-8161-3997

According to our database1, Chunguo Wu authored at least 41 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Troublemaker Learning for Low-Light Image Enhancement.
CoRR, 2024

2023
Efficient Self-learning Evolutionary Neural Architecture Search.
Appl. Soft Comput., October, 2023

Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO.
Swarm Evol. Comput., 2023

2022
Amino acid environment affinity model based on graph attention network.
J. Bioinform. Comput. Biol., 2022

2021
A block-encoding method for evolving neural network architecture.
Int. J. Bio Inspired Comput., 2021

Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO.
CoRR, 2021

Neural Architecture Search based on Cartesian Genetic Programming Coding Method.
CoRR, 2021

Crossed-Time Delay Neural Network for Speaker Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
Crossed-Time Delay Neural Network for Speaker Recognition.
CoRR, 2020

2019
Particle swarm optimization based on dimensional learning strategy.
Swarm Evol. Comput., 2019

Boost particle swarm optimization with fitness estimation.
Nat. Comput., 2019

Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization.
CoRR, 2019

Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control.
IEEE Access, 2019

Surprisingly Popular Algorithm-Based Comprehensive Adaptive Topology Learning PSO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

ESAE: Evolutionary Strategy-Based Architecture Evolution.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
A Selective Ensemble Learning Framework for ECG-Based Heartbeat Classification with Imbalanced Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Globally-optimal prediction-based adaptive mutation particle swarm optimization.
Inf. Sci., 2017

A Novel Method for Analysing the Population Dynamic Behavior of Particle Swarm Optimization.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Self-adaptive SVDD integrated with AP clustering for one-class classification.
Pattern Recognit. Lett., 2016

2014
Hierarchical Solving Method for Large Scale TSP Problems.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Global prediction-based adaptive mutation particle swarm optimization.
Proceedings of the 10th International Conference on Natural Computation, 2014

2012
Tri-mean-based statistical differential gene expression detection.
Int. J. Data Min. Bioinform., 2012

LS-SVR-based solving Volterra integral equations.
Appl. Math. Comput., 2012

2011
Feature Selection Algorithm Based on Least Squares Support Vector Machine and Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

2010
Adaptive and iterative least squares support vector regression based on quadratic Renyi entropy.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010

Gene Expression Regulation in E-Cell Model Analog-Cell.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

2009
A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model.
Bioinform., 2009

2008
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization.
Neurocomputing, 2008

2007
Machine Learning-Based Keywords Extraction for Scientific Literature.
J. Univers. Comput. Sci., 2007

A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning.
Proceedings of the Computational Science, 2006

2005
Multi-category Classification by Least Squares Support Vector Regression.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Equivalence of Classification and Regression Under Support Vector Machine Theory.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Medicine Composition Analysis Based on PCA and SVM.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Determination of Methanol and Ethanol Synchronously in Ternary Mixture by NIRS and PLS Regression.
Proceedings of the Computational Science and Its Applications, 2005

2004
A Modified Integer-Coding Genetic Algorithm for Job Shop Scheduling Problem.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004


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