Yong Liu

According to our database, Yong Liu authored at least 115 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification.

Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao

IEEE Access, 2023

Performance and Cost Balancing in Vision Transformer-Based Image Captioning.

Yan Lyu, Yong Liu, Qiangfu Zhao

Proceedings of the 4th Asia Service Sciences and Software Engineering Conference, 2023

2021

CMNN: Coupled Modular Neural Network.

Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu

IEEE Access, 2021

2019

Learning Target Selection in Creating Negatively Correlated Neural Networks.

Yong Liu

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles.

Yong Liu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Negative Correlation Learning with Multiple Target Values.

Yong Liu

Proceedings of the 14th International Conference on Natural Computation, 2018

Learning Targets for Building Cooperation Awareness in Ensemble Learning.

Yong Liu

Proceedings of the 9th International Conference on Awareness Science and Technology, 2018

2017

Low-Cost and Steady On-Line Retraining of MLP with Guide Data.

Yuya Kaneda, Qiangfu Zhao, Yong Liu

J. Inf. Process., 2017

Applications in heterogeneous parallel and distributed environment.

Kenli Li, Lipo Wang, Yong Liu

Concurr. Comput. Pract. Exp., 2017

Bidirectional Negative Correlation Learning.

Yong Liu

Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Build correlation awareness in negative correlation learning.

Yong Liu

Proceedings of the 13th International Conference on Natural Computation, 2017

Computational awareness for learning neural network ensembles.

Yong Liu

Proceedings of the IEEE International Conference on Information and Automation, 2017

Random separation learning for neural network ensembles.

Yong Liu

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Error Awareness by Lower and Upper Bounds in Ensemble Learning.

Yong Liu

Int. J. Pattern Recognit. Artif. Intell., 2016

Preface.

Kenli Li, Yong Liu, Maozhen Li

Int. J. Pattern Recognit. Artif. Intell., 2016

Negative selections in ensemble learning.

Yong Liu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers?

Yuya Kaneda, Qiangfu Zhao, Yong Liu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Guide data generation for on-line learning of DBM-initialized MLP.

Yuya Kaneda, Qiangfu Zhao, Yong Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

DBM vs ELM: A study on effective training of compact MLP.

Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

How to confine errors in negative correlation learning.

Yong Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Negative selection in negative correlation learning.

Yong Liu

Proceedings of the 12th International Conference on Natural Computation, 2016

Learning self-awareness in committee machines.

Yong Liu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Enforcing negativity in negative correlation learning.

Yong Liu

Proceedings of the IEEE International Conference on Information and Automation, 2016

Control of the error signals by self-awareness in committee machines.

Yong Liu

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015

Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection.

Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu

J. Inf. Process., 2015

Strategies for determining effective step size of the backpropagation algorithm for on-line learning.

Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Negative Correlation Learning with Difference Learning.

Yong Liu

Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Error awareness by lower and upper bounds in ensemble learning.

Yong Liu, Qiangfu Zhao, Yan Pei

Proceedings of the 11th International Conference on Natural Computation, 2015

Bounded learning for neural network ensembles.

Yong Liu, Qiangfu Zhao, Yan Pei

Proceedings of the IEEE International Conference on Information and Automation, 2015

A modified cuckoo search algorithm for flow shop scheduling problem with blocking.

Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multi-strategy ensemble artificial bee colony algorithm.

Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jeng-Shyang Pan

Inf. Sci., 2014

A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution.

Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Study on the effect of learning parameters on decision boundary making algorithm.

Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Improving performance of decision boundary making with support vector machine based outlier detection.

Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu

Proceedings of the 2014 IEEE International Symposium on Independent Computing, 2014

From low negative correlation learning to high negative correlation learning.

Yong Liu, Qiangfu Zhao, Yan Pei

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Control of correlation in negative correlation learning.

Yong Liu, Qiangfu Zhao, Yan Pei

Proceedings of the 10th International Conference on Natural Computation, 2014

Ensemble Learning with Correlation-Based Penalty.

Yong Liu, Qiangfu Zhao, Yan Pei

Proceedings of the IEEE 12th International Conference on Dependable, 2014

2013

A Study on the Effect of Learning Parameters for Inducing Compact SVM.

Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen

J. Adv. Comput. Intell. Intell. Informatics, 2013

Feature Point Detection in Image Morphing Based Steganography.

Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen

Proceedings of the IEEE International Conference on Systems, 2013

Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning.

Yong Liu, Qiangfu Zhao, Neil Y. Yen

Proceedings of the IEEE International Conference on Systems, 2013

Induction of High Performance Neural Networks Based on Decision Boundary Making.

Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen

Proceedings of the IEEE International Conference on Systems, 2013

Inducing high performance neural networks based on an improved decision boundary making algorithm.

Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen

Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

Make decision boundary smoother by transition learning.

Yong Liu, Qiangfu Zhao, Neil Y. Yen

Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

An intelligent state machine towards task-oriented search support.

Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai

Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

Transition learning for creating diverse neural networks.

Yong Liu

Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

Transition Learning by Negative Correlation Learning.

Yong Liu

Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013

2012

Variation aware control for reliability.

Yong Liu, Qiangfu Zhao, Neil Y. Yen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Balancing Ensemble Learning between Known and Unknown Data.

Yong Liu

Proceedings of the Computational Intelligence and Intelligent Systems, 2012

New discoveries in balanced ensemble learning.

Yong Liu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Constraint awareness in balanced ensemble learning.

Yong Liu

Proceedings of the 4th International Conference on Awareness Science and Technology, 2012

2011

Enhancing particle swarm optimization using generalized opposition-based learning.

Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca

Inf. Sci., 2011

Target shift awareness in balanced ensemble learning.

Yong Liu

Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011

2010

A Simple and Fast Particle Swarm Optimization.

Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jing Wang, Xianqiang Yang

J. Multiple Valued Log. Soft Comput., 2010

Measurements in Fast Evolutionary Programming.

Yong Liu

Proceedings of the Computational Intelligence and Intelligent Systems, 2010

Are long jumps of Cauchy mutations effective in fast evolutionary programming?

Yong Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Balanced Learning for Ensembles with Small Neural Networks.

Yong Liu

Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Space transformation search: a new evolutionary technique.

Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008

Correlation between Mutations and Self-adaptation in Evolutionary Programming.

Yong Liu

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

A Balanced Ensemble Learning with Adaptive Error Functions.

Yong Liu

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Reduction of difference among trained neural networks by re-learning.

Yong Liu

Proceedings of the International Joint Conference on Neural Networks, 2008

Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator.

Hui Wang, Zhijian Wu, Yong Liu, Sanyou Zeng

Proceedings of the Fourth International Conference on Natural Computation, 2008

An improved Particle Swarm Optimization with adaptive jumps.

Hui Wang, Yong Liu, Zhijian Wu, Hui Sun, Sanyou Zeng, Lishan Kang

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

How to Generate Different Neural Networks.

Yong Liu

Proceedings of the Trends in Neural Computation, 2007

A Hybrid Particle Swarm Algorithm with Cauchy Mutation.

Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation.

Qing Zhang, Changhe Li, Yong Liu, Lishan Kang

Proceedings of the Advances in Computation and Intelligence, 2007

Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation.

Hui Wang, Sanyou Zeng, Yong Liu, Wenjun Wang, Hui Shi, Gang Liu

Proceedings of the Advances in Computation and Intelligence, 2007

Operator Adaptation in Evolutionary Programming.

Yong Liu

Proceedings of the Advances in Computation and Intelligence, 2007

A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.

Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang

Proceedings of the Advances in Computation and Intelligence, 2007

Opposition-based particle swarm algorithm with cauchy mutation.

Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary Programming with Operator Adaptation.

Yong Liu

Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2006

Current developments and future directions of bio-inspired computation and implications for ecoinformatics.

Xin Yao, Yong Liu, Jin Li, Jun He, Colin Frayn

Ecol. Informatics, 2006

Create Stable Neural Networks by Cross-Validation.

Yong Liu

Proceedings of the International Joint Conference on Neural Networks, 2006

Make Fast Evolutionary Programming Robust by Search Step Control.

Yong Liu, Xin Yao

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

How to Stop the Evolutionary Process in Evolving Neural Network Ensembles.

Yong Liu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Evolving Neural Network Ensembles by Fitness Sharing.

Yong Liu, Xin Yao

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design.

Rui Liu, Sanyou Zeng, Lixin Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu, Yueping Han

Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2006), 2006

Introduction to Evolvable Hardware.

Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao

Proceedings of the Evolvable Hardware, 2006

2005

Incremental Learning with the Neural Network Trees.

Takaharu Takeda, Qiangfu Zhao, Yong Liu

Neural Parallel Sci. Comput., 2005

Generate Different Neural Networks by Negative Correlation Learning.

Yong Liu

Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II.

Sanyou Zeng, Shuzhen Yao, Lishan Kang, Yong Liu

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

2004

Evolving Neural Network Ensembles by Minimization of Mutual Information.

Xin Yao, Yong Liu

Int. J. Hybrid Intell. Syst., 2004

A Hybrid Neural Network Learning System.

Yong Liu

Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003

Optimisation and Learning in Neural Network Learning.

Yong Liu, Xin Yao

Proceedings of the IASTED International Conference on Modelling, Simulation and Optimization, 2003

2002

Learning and Evolution by Minimization of Mutual Information.

Yong Liu, Xin Yao

Proceedings of the Parallel Problem Solving from Nature, 2002

Maintaining Population Diversity By Minimizing Mutual Information.

Yong Liu, Xin Yao

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Search Step Size Control In Fast Evolutionary Programming.

Yong Liu, Xin Yao

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Getting Most Out of Evolutionary Approaches.

Xin Yao, Yong Liu

Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

How to control search step size in fast evolutionary programming.

Yong Liu, Xin Yao

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Implementation of a Gate-Level Evolvable Hardware Chip.

Masaya Iwata, Isamu Kajitani, Yong Liu, Nobuki Kajihara, Tetsuya Higuchi

Proceedings of the Evolvable Systems: From Biology to Hardware, 2001

Scaling up fast evolutionary programming with cooperative coevolution.

Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolving a cooperative population of neural networks by minimizing mutual information.

Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolving neural networks for Hang Seng stock index forecast.

Yong Liu, Xin Yao

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000

Evolutionary ensembles with negative correlation learning.

Yong Liu, Xin Yao, Tetsuya Higuchi

IEEE Trans. Evol. Comput., 2000

An Integrated On-Line Learning System for Evolving Programmable Logic Array Controllers.

Yong Liu, Masaya Iwata, Tetsuya Higuchi, Didier Keymeulen

Proceedings of the Parallel Problem Solving from Nature, 2000

1999

Simultaneous training of negatively correlated neural networks in an ensemble.

Yong Liu, Xin Yao

IEEE Trans. Syst. Man Cybern. Part B, 1999

Evolutionary programming made faster.

Xin Yao, Yong Liu, Guangming Lin

IEEE Trans. Evol. Comput., 1999

Ensemble learning via negative correlation.

Yong Liu, Xin Yao

Neural Networks, 1999

Negatively correlated neural networks for classification.

Yong Liu, Xin Yao

Artif. Life Robotics, 1999

Neural networks for breast cancer diagnosis.

Xin Yao, Yong Liu

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Making use of population information in evolutionary artificial neural networks.

Xin Yao, Yong Liu

IEEE Trans. Syst. Man Cybern. Part B, 1998

Time Series Prediction by Using Negatively Correlated Neural Networks.

Yong Liu, Xin Yao

Proceedings of the Simulated Evolution and Learning, 1998

Towards Designing Neural Network Ensembles by Evolution.

Yong Liu, Xin Yao

Proceedings of the Parallel Problem Solving from Nature, 1998

Scaling Up Evolutionary Programming Algorithms.

Xin Yao, Yong Liu

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

An Experimental Investigation of Self-Adaptation in Evolutionary Programming.

Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997

A new evolutionary system for evolving artificial neural networks.

Xin Yao, Yong Liu

IEEE Trans. Neural Networks, 1997

An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes.

Xin Yao, Guangming Lin, Yong Liu

Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Fast Evolution Strategies.

Xin Yao, Yong Liu

Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

1996

EPNet for Chaotic Time-Series Prediction.

Xin Yao, Yong Liu

Proceedings of the Simulated Evolution and Learning, First Asia-Pacific Conference, 1996

Ensemble Structure of Evolutionary Artificial Neural Networks.

Xin Yao, Yong Liu

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary Design of Artificial Neural Networks with Different Nodes.

Yong Liu, Xin Yao

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Fast Evolutionary Programming.

Xin Yao, Yong Liu

Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

Evolving Artificial Neural Networks through Evolutionary Programming.

Xin Yao, Yong Liu

Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

1995

The Annealing Evolution Algorithm as Function Optimizer.

Yong Liu, Lishan Kang, David J. Evans

Parallel Comput., 1995

1994

The Annealing Evolution Algorithm.

Yong Liu, Lishan Kang, David J. Evans

Parallel Algorithms Appl., 1994

An Evolutionary Approach to Adaptive Model-Building.

Zhengjun Pan, Lishan Kang, Jun He, Yong Liu

Proceedings of the Process in Evolutionary Computation, 1994