Yong Liu

ORCID

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 23

Top Venues

ICNC-FSKD

SMC

ICIA

Int. J. Pattern Recognit. Artif. Intell.

Publications

Yan Lyu, Yong Liu, Qiangfu Zhao
Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE (2023)
Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao
4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access 11 (2023)
Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu
CMNN: Coupled Modular Neural Network. IEEE Access 9 (2021)
Yong Liu
Learning Target Selection in Creating Negatively Correlated Neural Networks. ISICA (2019)
Yong Liu
Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles. ICNC-FSKD (2019)
Yong Liu
Learning Targets for Building Cooperation Awareness in Ensemble Learning. iCAST (2018)
Yong Liu
Negative Correlation Learning with Multiple Target Values. ICNC-FSKD (2018)
Yong Liu
Build correlation awareness in negative correlation learning. ICNC-FSKD (2017)
Yuya Kaneda, Qiangfu Zhao, Yong Liu
Low-Cost and Steady On-Line Retraining of MLP with Guide Data. J. Inf. Process. 25 (2017)
Yong Liu
Computational awareness for learning neural network ensembles. ICIA (2017)
Yong Liu
Random separation learning for neural network ensembles. CISP-BMEI (2017)
Kenli Li, Lipo Wang, Yong Liu
Applications in heterogeneous parallel and distributed environment. Concurr. Comput. Pract. Exp. 29 (20) (2017)
Yong Liu
Negative selections in ensemble learning. SSCI (2016)
Yuya Kaneda, Qiangfu Zhao, Yong Liu
Guide data generation for on-line learning of DBM-initialized MLP. SMC (2016)
Yong Liu
Enforcing negativity in negative correlation learning. ICIA (2016)
Yong Liu
How to confine errors in negative correlation learning. IJCNN (2016)
Kenli Li, Yong Liu, Maozhen Li
Preface. Int. J. Pattern Recognit. Artif. Intell. 30 (9) (2016)
Yong Liu
Negative selection in negative correlation learning. ICNC-FSKD (2016)
Yuya Kaneda, Qiangfu Zhao, Yong Liu
On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers? SSCI (2016)
Yong Liu
Learning self-awareness in committee machines. ICMLC (2016)
Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu
DBM vs ELM: A study on effective training of compact MLP. SMC (2016)
Yong Liu
Error Awareness by Lower and Upper Bounds in Ensemble Learning. Int. J. Pattern Recognit. Artif. Intell. 30 (9) (2016)
Yong Liu
Control of the error signals by self-awareness in committee machines. CISP-BMEI (2016)
Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. J. Inf. Process. 23 (4) (2015)
Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu
A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC (2015)
Yong Liu, Qiangfu Zhao, Yan Pei
Error awareness by lower and upper bounds in ensemble learning. ICNC (2015)
Yong Liu, Qiangfu Zhao, Yan Pei
Bounded learning for neural network ensembles. ICIA (2015)
Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei
Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR (2015)
Yong Liu
Negative Correlation Learning with Difference Learning. ISICA (2015)
Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
Improving performance of decision boundary making with support vector machine based outlier detection. ISIC (2014)
Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
Study on the effect of learning parameters on decision boundary making algorithm. SMC (2014)
Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu
A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC (2014)
Yong Liu, Qiangfu Zhao, Yan Pei
Control of correlation in negative correlation learning. ICNC (2014)
Yong Liu, Qiangfu Zhao, Yan Pei
From low negative correlation learning to high negative correlation learning. IJCNN (2014)
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jeng-Shyang Pan
Multi-strategy ensemble artificial bee colony algorithm. Inf. Sci. 279 (2014)
Yong Liu, Qiangfu Zhao, Yan Pei
Ensemble Learning with Correlation-Based Penalty. DASC (2014)
Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
Inducing high performance neural networks based on an improved decision boundary making algorithm. iCAST/UMEDIA (2013)
Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai
An intelligent state machine towards task-oriented search support. CYBCONF (2013)
Yong Liu, Qiangfu Zhao, Neil Y. Yen
Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC (2013)
Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen
Feature Point Detection in Image Morphing Based Steganography. SMC (2013)
Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
A Study on the Effect of Learning Parameters for Inducing Compact SVM. J. Adv. Comput. Intell. Intell. Informatics 17 (4) (2013)
Yong Liu
Transition Learning by Negative Correlation Learning. ICCC (2013)
Yong Liu, Qiangfu Zhao, Neil Y. Yen
Make decision boundary smoother by transition learning. iCAST/UMEDIA (2013)
Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC (2013)
Yong Liu
Transition learning for creating diverse neural networks. BMEI (2013)
Yong Liu
Balancing Ensemble Learning between Known and Unknown Data. ISICA (2012)
Yong Liu, Qiangfu Zhao, Neil Y. Yen
Variation aware control for reliability. SMC (2012)
Yong Liu
New discoveries in balanced ensemble learning. IJCNN (2012)
Yong Liu
Constraint awareness in balanced ensemble learning. iCAST (2012)
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca
Enhancing particle swarm optimization using generalized opposition-based learning. Inf. Sci. 181 (20) (2011)
Yong Liu
Target shift awareness in balanced ensemble learning. iCAST (2011)
Yong Liu
Are long jumps of Cauchy mutations effective in fast evolutionary programming? IEEE Congress on Evolutionary Computation (2010)
Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jing Wang, Xianqiang Yang
A Simple and Fast Particle Swarm Optimization. J. Multiple Valued Log. Soft Comput. 16 (6) (2010)
Yong Liu
Measurements in Fast Evolutionary Programming. ISICA (2) (2010)
Yong Liu
Balanced Learning for Ensembles with Small Neural Networks. ISICA (2009)
Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen
Space transformation search: a new evolutionary technique. GEC Summit (2009)
Hui Wang, Yong Liu, Zhijian Wu, Hui Sun, Sanyou Zeng, Lishan Kang
An improved Particle Swarm Optimization with adaptive jumps. IEEE Congress on Evolutionary Computation (2008)
Hui Wang, Zhijian Wu, Yong Liu, Sanyou Zeng
Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator. ICNC (7) (2008)
Yong Liu
A Balanced Ensemble Learning with Adaptive Error Functions. ISICA (2008)
Yong Liu
Correlation between Mutations and Self-adaptation in Evolutionary Programming. ISICA (2008)
Yong Liu
Reduction of difference among trained neural networks by re-learning. IJCNN (2008)
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA (2007)
Hui Wang, Sanyou Zeng, Yong Liu, Wenjun Wang, Hui Shi, Gang Liu
Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation. ISICA (2007)
Yong Liu
Operator Adaptation in Evolutionary Programming. ISICA (2007)
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng
Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation (2007)
Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. ISICA (2007)
Yong Liu
Evolutionary Programming with Operator Adaptation. CIT (2007)
Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng
A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS (2007)
Yong Liu, Xin Yao
Make Fast Evolutionary Programming Robust by Search Step Control. ICNC (1) (2006)
Yong Liu
How to Stop the Evolutionary Process in Evolving Neural Network Ensembles. ICNC (1) (2006)
Yong Liu
Create Stable Neural Networks by Cross-Validation. IJCNN (2006)
Xin Yao, Yong Liu, Jin Li, Jun He, Colin Frayn
Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecol. Informatics 1 (1) (2006)
Yong Liu, Xin Yao
Evolving Neural Network Ensembles by Fitness Sharing. IEEE Congress on Evolutionary Computation (2006)
Yong Liu
Generate Different Neural Networks by Negative Correlation Learning. ICNC (1) (2005)
Takaharu Takeda, Qiangfu Zhao, Yong Liu
Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. 13 (2005)
Xin Yao, Yong Liu
Evolving Neural Network Ensembles by Minimization of Mutual Information. Int. J. Hybrid Intell. Syst. 1 (1) (2004)
Yong Liu
A Hybrid Neural Network Learning System. CIT (2004)
Yong Liu, Xin Yao
Optimisation and Learning in Neural Network Learning. Modelling, Simulation, and Optimization (2003)
Yong Liu, Xin Yao
Maintaining Population Diversity By Minimizing Mutual Information. GECCO (2002)
Yong Liu, Xin Yao
Search Step Size Control In Fast Evolutionary Programming. GECCO (2002)
Xin Yao, Yong Liu
Getting Most Out of Evolutionary Approaches. Evolvable Hardware (2002)
Yong Liu, Xin Yao
How to control search step size in fast evolutionary programming. IEEE Congress on Evolutionary Computation (2002)
Yong Liu, Xin Yao
Learning and Evolution by Minimization of Mutual Information. PPSN (2002)
Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
Evolving a cooperative population of neural networks by minimizing mutual information. CEC (2001)
Yong Liu, Xin Yao
Evolving neural networks for Hang Seng stock index forecast. CEC (2001)
Masaya Iwata, Isamu Kajitani, Yong Liu, Nobuki Kajihara, Tetsuya Higuchi
Implementation of a Gate-Level Evolvable Hardware Chip. ICES (2001)
Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
Scaling up fast evolutionary programming with cooperative coevolution. CEC (2001)
Yong Liu, Xin Yao, Tetsuya Higuchi
Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 4 (4) (2000)
Yong Liu, Masaya Iwata, Tetsuya Higuchi, Didier Keymeulen
An Integrated On-Line Learning System for Evolving Programmable Logic Array Controllers. PPSN (2000)
Yong Liu, Xin Yao
Simultaneous training of negatively correlated neural networks in an ensemble. IEEE Trans. Syst. Man Cybern. Part B 29 (6) (1999)
Yong Liu, Xin Yao
Negatively correlated neural networks for classification. Artif. Life Robotics 3 (4) (1999)
Xin Yao, Yong Liu, Guangming Lin
Evolutionary programming made faster. IEEE Trans. Evol. Comput. 3 (2) (1999)
Yong Liu, Xin Yao
Ensemble learning via negative correlation. Neural Networks 12 (10) (1999)
Xin Yao, Yong Liu
Scaling Up Evolutionary Programming Algorithms. Evolutionary Programming (1998)
Yong Liu, Xin Yao
Towards Designing Neural Network Ensembles by Evolution. PPSN (1998)
Xin Yao, Yong Liu
Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man Cybern. Part B 28 (3) (1998)
Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman
An Experimental Investigation of Self-Adaptation in Evolutionary Programming. Evolutionary Programming (1998)
Yong Liu, Xin Yao
Time Series Prediction by Using Negatively Correlated Neural Networks. SEAL (1998)
Xin Yao, Yong Liu
Fast Evolution Strategies. Evolutionary Programming (1997)
Xin Yao, Yong Liu
A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Networks 8 (3) (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Liu