An Evolutionary Approach to Adaptive Model-Building. - Zhengjun Pan; Lishan Kang; Jun He 004; Yong Liu 012 (Evo Workshops, 1994)

The Annealing Evolution Algorithm. - Yong Liu 012; Lishan Kang; David J. Evans 001 (Parallel Algorithms Appl., 1994)

The Annealing Evolution Algorithm as Function Optimizer. - Yong Liu 012; Lishan Kang; David J. Evans 001 (Parallel Comput., 1995)

Evolving Artificial Neural Networks through Evolutionary Programming. - Xin Yao 001; Yong Liu 012 (Evolutionary Programming, 1996)

Fast Evolutionary Programming. - Xin Yao 001; Yong Liu 012 (Evolutionary Programming, 1996)

Evolutionary Design of Artificial Neural Networks with Different Nodes. - Yong Liu 012; Xin Yao 001 (International Conference on Evolutionary Computation, 1996)

Ensemble Structure of Evolutionary Artificial Neural Networks. - Xin Yao 001; Yong Liu 012 (International Conference on Evolutionary Computation, 1996)

EPNet for Chaotic Time-Series Prediction. - Xin Yao 001; Yong Liu 012 (SEAL, 1996)

Fast Evolution Strategies. - Xin Yao 001; Yong Liu 012 (Evolutionary Programming, 1997)

An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes. - Xin Yao 001; Guangming Lin; Yong Liu 012 (Evolutionary Programming, 1997)

A new evolutionary system for evolving artificial neural networks. - Xin Yao 001; Yong Liu 012 (IEEE Trans. Neural Networks, 1997)

An Experimental Investigation of Self-Adaptation in Evolutionary Programming. - Ko-Hsin Liang; Xin Yao 001; Yong Liu 012; Charles S. Newton; David Hoffman (Evolutionary Programming, 1998)

Scaling Up Evolutionary Programming Algorithms. - Xin Yao 001; Yong Liu 012 (Evolutionary Programming, 1998)

Towards Designing Neural Network Ensembles by Evolution. - Yong Liu 012; Xin Yao 001 (PPSN, 1998)

Time Series Prediction by Using Negatively Correlated Neural Networks. - Yong Liu 012; Xin Yao 001 (SEAL, 1998)

Making use of population information in evolutionary artificial neural networks. - Xin Yao 001; Yong Liu 012 (IEEE Trans. Syst. Man Cybern. Part B, 1998)

Neural networks for breast cancer diagnosis. - Xin Yao 001; Yong Liu 012 (CEC, 1999)

Negatively correlated neural networks for classification. - Yong Liu 012; Xin Yao 001 (Artif. Life Robotics, 1999)

Ensemble learning via negative correlation. - Yong Liu 012; Xin Yao 001 (Neural Networks, 1999)

Evolutionary programming made faster. - Xin Yao 001; Yong Liu 012; Guangming Lin (IEEE Trans. Evol. Comput., 1999)

Simultaneous training of negatively correlated neural networks in an ensemble. - Yong Liu 012; Xin Yao 001 (IEEE Trans. Syst. Man Cybern. Part B, 1999)

An Integrated On-Line Learning System for Evolving Programmable Logic Array Controllers. - Yong Liu 012; Masaya Iwata; Tetsuya Higuchi; Didier Keymeulen (PPSN, 2000)

Evolutionary ensembles with negative correlation learning. - Yong Liu 012; Xin Yao 001; Tetsuya Higuchi (IEEE Trans. Evol. Comput., 2000)

Evolving neural networks for Hang Seng stock index forecast. - Yong Liu 012; Xin Yao 001 (CEC, 2001)

Evolving a cooperative population of neural networks by minimizing mutual information. - Yong Liu 012; Xin Yao 001; Qiangfu Zhao; Tetsuya Higuchi (CEC, 2001)

Scaling up fast evolutionary programming with cooperative coevolution. - Yong Liu 012; Xin Yao 001; Qiangfu Zhao; Tetsuya Higuchi (CEC, 2001)

Implementation of a Gate-Level Evolvable Hardware Chip. - Masaya Iwata; Isamu Kajitani; Yong Liu 012; Nobuki Kajihara; Tetsuya Higuchi (ICES, 2001)

How to control search step size in fast evolutionary programming. - Yong Liu 012; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2002)

Getting Most Out of Evolutionary Approaches. - Xin Yao 001; Yong Liu 012 (Evolvable Hardware, 2002)

Search Step Size Control In Fast Evolutionary Programming. - Yong Liu 012; Xin Yao 001 (GECCO, 2002)

Maintaining Population Diversity By Minimizing Mutual Information. - Yong Liu 012; Xin Yao 001 (GECCO, 2002)

Learning and Evolution by Minimization of Mutual Information. - Yong Liu 012; Xin Yao 001 (PPSN, 2002)

A study on on-line learning of NNTrees. - Takeda Takaharu; Qiangfu Zhao; Yong Liu 012 (IJCNN, 2003)

Optimisation and Learning in Neural Network Learning. - Yong Liu 012; Xin Yao 001 (Modelling, Simulation, and Optimization, 2003)

A Hybrid Neural Network Learning System. - Yong Liu 012 (CIT, 2004)

Evolving Neural Network Ensembles by Minimization of Mutual Information. - Xin Yao 001; Yong Liu 012 (Int. J. Hybrid Intell. Syst., 2004)

An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. - Sanyou Zeng; Shuzhen Yao; Lishan Kang; Yong Liu 012 (EMO, 2005)

Generate Different Neural Networks by Negative Correlation Learning. - Yong Liu 012 (ICNC (1), 2005)

How to find different neural networks by negative correlation learning. - Yong Liu 012 (IJCNN, 2005)

Incremental Learning with the Neural Network Trees. - Takaharu Takeda; Qiangfu Zhao; Yong Liu 012 (Neural Parallel Sci. Comput., 2005)

Introduction to Evolvable Hardware. - Tetsuya Higuchi; Yong Liu 012; Masaya Iwata; Xin Yao 001 (Evolvable Hardware, 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 012; Yueping Han (AHS, 2006)

Evolving Neural Network Ensembles by Fitness Sharing. - Yong Liu 012; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2006)

How to Stop the Evolutionary Process in Evolving Neural Network Ensembles. - Yong Liu 012 (ICNC (1), 2006)

Make Fast Evolutionary Programming Robust by Search Step Control. - Yong Liu 012; Xin Yao 001 (ICNC (1), 2006)

Create Stable Neural Networks by Cross-Validation. - Yong Liu 012 (IJCNN, 2006)

Current developments and future directions of bio-inspired computation and implications for ecoinformatics. - Xin Yao 001; Yong Liu 012; Jin Li 005; Jun He 004; Colin Frayn (Ecol. Informatics, 2006)

Evolutionary Programming with Operator Adaptation. - Yong Liu 012 (CIT, 2007)

Opposition-based particle swarm algorithm with cauchy mutation. - Hui Wang 002; Hui Li; Yong Liu 012; Changhe Li; Sanyou Zeng (IEEE Congress on Evolutionary Computation, 2007)

A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. - Changhe Li; Yong Liu 012; Aimin Zhou; Lishan Kang; Hui Wang 002 (ISICA, 2007)

Operator Adaptation in Evolutionary Programming. - Yong Liu 012 (ISICA, 2007)

Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation. - Hui Wang 002; Sanyou Zeng; Yong Liu 012; Wenjun Wang 001; Hui Shi; Gang Liu 029 (ISICA, 2007)

Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. - Qing Zhang; Changhe Li; Yong Liu 012; Lishan Kang (ISICA, 2007)

A Hybrid Particle Swarm Algorithm with Cauchy Mutation. - Hui Wang 002; Yong Liu 012; Changhe Li; Sanyou Zeng (SIS, 2007)

How to Generate Different Neural Networks. - Yong Liu 012 (Trends in Neural Computation, 2007)

An improved Particle Swarm Optimization with adaptive jumps. - Hui Wang 002; Yong Liu 012; Zhijian Wu; Hui Sun 001; Sanyou Zeng; Lishan Kang (IEEE Congress on Evolutionary Computation, 2008)

Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator. - Hui Wang 002; Zhijian Wu; Yong Liu 012; Sanyou Zeng (ICNC (7), 2008)

Reduction of difference among trained neural networks by re-learning. - Yong Liu 012 (IJCNN, 2008)

A Balanced Ensemble Learning with Adaptive Error Functions. - Yong Liu 012 (ISICA, 2008)

Correlation between Mutations and Self-adaptation in Evolutionary Programming. - Yong Liu 012 (ISICA, 2008)

Space transformation search: a new evolutionary technique. - Hui Wang 002; Zhijian Wu; Yong Liu 012; Jing Wang 110; Dazhi Jiang; Lili Chen (GEC Summit, 2009)

Balanced Learning for Ensembles with Small Neural Networks. - Yong Liu 012 (ISICA, 2009)

Are long jumps of Cauchy mutations effective in fast evolutionary programming? - Yong Liu 012 (IEEE Congress on Evolutionary Computation, 2010)

Measurements in Fast Evolutionary Programming. - Yong Liu 012 (ISICA (2), 2010)

A Simple and Fast Particle Swarm Optimization. - Hui Wang 002; Zhijian Wu; Sanyou Zeng; Dazhi Jiang; Yong Liu 012; Jing Wang 110; Xianqiang Yang 002 (J. Multiple Valued Log. Soft Comput., 2010)

Target shift awareness in balanced ensemble learning. - Yong Liu 012 (iCAST, 2011)

Enhancing particle swarm optimization using generalized opposition-based learning. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Yong Liu 012; Mario Ventresca (Inf. Sci., 2011)

Constraint awareness in balanced ensemble learning. - Yong Liu 012 (iCAST, 2012)

New discoveries in balanced ensemble learning. - Yong Liu 012 (IJCNN, 2012)

Balancing Ensemble Learning between Known and Unknown Data. - Yong Liu 012 (ISICA, 2012)

Variation aware control for reliability. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (SMC, 2012)

Transition Learning by Negative Correlation Learning. - Yong Liu 012 (ICCC, 2013)

Transition learning for creating diverse neural networks. - Yong Liu 012 (BMEI, 2013)

An intelligent state machine towards task-oriented search support. - Neil Y. Yen; Qiangfu Zhao; Yong Liu 012; Joseph C. Tsai (CYBCONF, 2013)

Make decision boundary smoother by transition learning. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (iCAST/UMEDIA, 2013)

Inducing high performance neural networks based on an improved decision boundary making algorithm. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (iCAST/UMEDIA, 2013)

Induction of High Performance Neural Networks Based on Decision Boundary Making. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (SMC, 2013)

Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. - Yong Liu 012; Qiangfu Zhao; Neil Y. Yen (SMC, 2013)

Feature Point Detection in Image Morphing Based Steganography. - Qiangfu Zhao; Yutaro Minakawa; Yong Liu 012; Neil Y. Yen (SMC, 2013)

A Study on the Effect of Learning Parameters for Inducing Compact SVM. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Neil Y. Yen (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Ensemble Learning with Correlation-Based Penalty. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (DASC, 2014)

Control of correlation in negative correlation learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICNC, 2014)

From low negative correlation learning to high negative correlation learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (IJCNN, 2014)

Improving performance of decision boundary making with support vector machine based outlier detection. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (ISIC, 2014)

Study on the effect of learning parameters on decision boundary making algorithm. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (SMC, 2014)

A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. - Yan Pei 001; Hideyuki Takagi; Qiangfu Zhao; Yong Liu 012 (SMC, 2014)

Multi-strategy ensemble artificial bee colony algorithm. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Hui Sun 001; Yong Liu 012; Jeng-Shyang Pan 001 (Inf. Sci., 2014)

A modified cuckoo search algorithm for flow shop scheduling problem with blocking. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Changhe Li; Shahryar Rahnamayan; Yong Liu 012 (CEC, 2015)

Bounded learning for neural network ensembles. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICIA, 2015)

Error awareness by lower and upper bounds in ensemble learning. - Yong Liu 012; Qiangfu Zhao; Yan Pei 001 (ICNC, 2015)

Negative Correlation Learning with Difference Learning. - Yong Liu 012 (ISICA, 2015)

Strategies for determining effective step size of the backpropagation algorithm for on-line learning. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012; Yan Pei 001 (SoCPaR, 2015)

Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. - Yuya Kaneda; Yan Pei 001; Qiangfu Zhao; Yong Liu 012 (J. Inf. Process., 2015)

Control of the error signals by self-awareness in committee machines. - Yong Liu 012 (CISP-BMEI, 2016)

Enforcing negativity in negative correlation learning. - Yong Liu 012 (ICIA, 2016)

Learning self-awareness in committee machines. - Yong Liu 012 (ICMLC, 2016)

Negative selection in negative correlation learning. - Yong Liu 012 (ICNC-FSKD, 2016)

How to confine errors in negative correlation learning. - Yong Liu 012 (IJCNN, 2016)

DBM vs ELM: A study on effective training of compact MLP. - Masato Hashimoto; Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (SMC, 2016)

Guide data generation for on-line learning of DBM-initialized MLP. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (SMC, 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 012 (SSCI, 2016)

Negative selections in ensemble learning. - Yong Liu 012 (SSCI, 2016)

Preface. - Kenli Li 001; Yong Liu 012; Maozhen Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Error Awareness by Lower and Upper Bounds in Ensemble Learning. - Yong Liu 012 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Random separation learning for neural network ensembles. - Yong Liu 012 (CISP-BMEI, 2017)

Computational awareness for learning neural network ensembles. - Yong Liu 012 (ICIA, 2017)

Build correlation awareness in negative correlation learning. - Yong Liu 012 (ICNC-FSKD, 2017)

Bidirectional Negative Correlation Learning. - Yong Liu 012 (ISICA (1), 2017)

Applications in heterogeneous parallel and distributed environment. - Kenli Li 001; Lipo Wang; Yong Liu 012 (Concurr. Comput. Pract. Exp., 2017)

Low-Cost and Steady On-Line Retraining of MLP with Guide Data. - Yuya Kaneda; Qiangfu Zhao; Yong Liu 012 (J. Inf. Process., 2017)

Learning Targets for Building Cooperation Awareness in Ensemble Learning. - Yong Liu 012 (iCAST, 2018)

Negative Correlation Learning with Multiple Target Values. - Yong Liu 012 (ICNC-FSKD, 2018)

Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles. - Yong Liu 012 (ICNC-FSKD, 2019)

Learning Target Selection in Creating Negatively Correlated Neural Networks. - Yong Liu 012 (ISICA, 2019)

CMNN: Coupled Modular Neural Network. - Intisar Md Chowdhury; Qiangfu Zhao; Kai Su; Yong Liu 012 (IEEE Access, 2021)

End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. - Yan Lyu; Qiangfu Zhao; Yong Liu 012 (RACS, 2022)

Performance and Cost Balancing in Vision Transformer-Based Image Captioning. - Yan Lyu; Yong Liu 012; Qiangfu Zhao (ASSE, 2023)

4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. - Menglei Li; Hongbo Chen; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2023)

Cost Harmonization LightGBM-Based Stock Market Prediction. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2023)

SMOTE-CHL-LightGBM: An Enhanced LightGBM for Credit Card Fraud Detection. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (ICMLC, 2024)

Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. - Kai Su; Qiangfu Zhao; Yoichi Tomioka; Yong Liu 012 (MobileCloud, 2024)

Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. - Xiaosong Zhao; Yong Liu 012; Qiangfu Zhao (IEEE Access, 2024)

YOLIC: An efficient method for object localization and classification on edge devices. - Kai Su; Yoichi Tomioka; Qiangfu Zhao; Yong Liu 012 (Image Vis. Comput., 2024)