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ORCIDYong Liu 0012
Person information
- affiliation: The University of Aizu, Aizu-Wakamatsu, Japan
- affiliation (former): China University of Geosciences, School of Computer Science, Wuhan, China
- affiliation (former): University of Birmingham, School of Computer Science, UK
- affiliation (PhD 1999): University of New South Wales, School of Computer Science, Canberra, NSW, Australia
- affiliation (PhD 1993): Wuhan University, Department of Computer Science, China
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001
![[0000-0003-3156-7002]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3156-7002")
— Outreach Corporation, Seattle, WA, USA (and 3 more) - Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0007 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0020 — Huawei Noah's Ark Lab, Singapore (and 1 more)
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0026 — A*STAR, Artificial Intelligence Initiative, Singapore (and 2 more)
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0029 — Heilongjiang University, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Yong Liu 0031 — Xi'an Jiaotong University, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, China (and 1 more)
Other persons with a similar name
- Jiayong Liu (aka: Jia-Yong Liu)
- Yongjin Liu (aka: Yong-Jin Liu) — disambiguation page
- Yongjun Liu (aka: Yong-Jun Liu) — disambiguation page
- Zhiyong Liu (aka: Zhi-Yong Liu) — disambiguation page
- Yong-Jin Liu 0001 (aka: Yongjin Liu 0001) — Tsinghua University, Department of Computer Science and Technology, BNRist, Beijing, China (and 1 more)
- Yongjun Liu 0001 (aka: Yong-Jun Liu 0001) — South China University of Technology, School of Business Administration, Guangzhou, China
- Yongkui Liu 0001 (aka: Yong Kui Liu 0001, Yong-Kui Liu 0001, Yong-kui Liu 0001) — Dalian Nationalities University, College of Computer Science and Engineering, China (and 1 more)
- Zhiyong Liu 0001 (aka: Zhi-Yong Liu 0001) — Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing, China
- Yongkui Liu 0002 (aka: Yong Kui Liu 0002, Yong-Kui Liu 0002, Yong-kui Liu 0002) — Xidian University, School of Mechano-Electronic Engineering, Xi'an, China (and 3 more)
- Liu Yong
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2020 – today
- 2024
[j24]Xiaosong Zhao, Yong Liu, Qiangfu Zhao:
Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. IEEE Access 12: 159316-159335 (2024)- 2023
- [j23]Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao:
4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access 11: 70621-70634 (2023) - [c90]Yan Lyu, Yong Liu, Qiangfu Zhao:
Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE 2023: 210-215 - 2022
- [e17]Kangshun Li, Yong Liu, Wenxiang Wang:
Exploration of Novel Intelligent Optimization Algorithms - 12th International Symposium, ISICA 2021, Guangzhou, China, November 20-21, 2021, Revised Selected Papers. Communications in Computer and Information Science 1590, Springer 2022, ISBN 978-981-19-4108-5 [contents] - 2021
- [j22]Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu:
CMNN: Coupled Modular Neural Network. IEEE Access 9: 93871-93891 (2021) - 2020
- [e16]Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu:
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 - Volume 1. Advances in Intelligent Systems and Computing 1074, Springer 2020, ISBN 978-3-030-32455-1 [contents] - [e15]Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu:
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 - Volume 2. Advances in Intelligent Systems and Computing 1075, Springer 2020, ISBN 978-3-030-32590-9 [contents] - [e14]Kangshun Li, Wei Li, Hui Wang, Yong Liu:
Artificial Intelligence Algorithms and Applications - 11th International Symposium, ISICA 2019, Guangzhou, China, November 16-17, 2019, Revised Selected Papers. Communications in Computer and Information Science 1205, Springer 2020, ISBN 978-981-15-5576-3 [contents]
2010 – 2019
- 2019
- [c89]Yong Liu:
Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles. ICNC-FSKD 2019: 113-120 - [c88]Yong Liu:
Learning Target Selection in Creating Negatively Correlated Neural Networks. ISICA 2019: 799-807 - 2018
- [c87]Yong Liu:
Learning Targets for Building Cooperation Awareness in Ensemble Learning. iCAST 2018: 16-19 - [c86]Yong Liu:
Negative Correlation Learning with Multiple Target Values. ICNC-FSKD 2018: 14-18 - [e13]Kangshun Li, Wei Li, Zhangxing Chen, Yong Liu:
Computational Intelligence and Intelligent Systems - 9th International Symposium, ISICA 2017, Guangzhou, China, November 18-19, 2017, Revised Selected Papers, Part I. Communications in Computer and Information Science 873, Springer 2018, ISBN 978-981-13-1647-0 [contents] - [e12]Kangshun Li, Wei Li, Zhangxing Chen, Yong Liu:
Computational Intelligence and Intelligent Systems - 9th International Symposium, ISICA 2017, Guangzhou, China, November 18-19, 2017, Revised Selected Papers, Part II. Communications in Computer and Information Science 874, Springer 2018, ISBN 978-981-13-1650-0 [contents] - 2017
- [j21]Kenli Li, Lipo Wang, Yong Liu:
Applications in heterogeneous parallel and distributed environment. Concurr. Comput. Pract. Exp. 29(20) (2017) - [j20]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
Low-Cost and Steady On-Line Retraining of MLP with Guide Data. J. Inf. Process. 25: 820-830 (2017) - [c85]Yong Liu:
Random separation learning for neural network ensembles. CISP-BMEI 2017: 1-4 - [c84]Yong Liu:
Computational awareness for learning neural network ensembles. ICIA 2017: 376-380 - [c83]Yong Liu:
Build correlation awareness in negative correlation learning. ICNC-FSKD 2017: 32-36 - [c82]Yong Liu:
Bidirectional Negative Correlation Learning. ISICA (1) 2017: 84-92 - [e11]Yong Liu, Liang Zhao, Guoyong Cai, Guoqing Xiao, Kenli Li, Lipo Wang:
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, China, July 29-31, 2017. IEEE 2017, ISBN 978-1-5386-2165-3 [contents] - 2016
- [j19]Kenli Li, Yong Liu, Maozhen Li:
Preface. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1602001:1-1602001:1 (2016) - [j18]Yong Liu:
Error Awareness by Lower and Upper Bounds in Ensemble Learning. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660003:1-1660003:14 (2016) - [c81]Yong Liu:
Control of the error signals by self-awareness in committee machines. CISP-BMEI 2016: 2005-2008 - [c80]Yong Liu:
Enforcing negativity in negative correlation learning. ICIA 2016: 1122-1125 - [c79]Yong Liu:
Learning self-awareness in committee machines. ICMLC 2016: 888-893 - [c78]Yong Liu:
Negative selection in negative correlation learning. ICNC-FSKD 2016: 41-45 - [c77]Yong Liu:
How to confine errors in negative correlation learning. IJCNN 2016: 4070-4075 - [c76]Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu:
DBM vs ELM: A study on effective training of compact MLP. SMC 2016: 1291-1296 - [c75]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
Guide data generation for on-line learning of DBM-initialized MLP. SMC 2016: 1340-1345 - [c74]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: 1-7 - [c73]Yong Liu:
Negative selections in ensemble learning. SSCI 2016: 1-5 - [e10]Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione:
Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Guangzhou, China, November 21-22, 2015, Revised Selected Papers. Communications in Computer and Information Science 575, Springer 2016, ISBN 978-981-10-0355-4 [contents] - 2015
- [j17]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): 497-504 (2015) - [c72]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: 456-463 - [c71]Yong Liu, Qiangfu Zhao, Yan Pei:
Bounded learning for neural network ensembles. ICIA 2015: 1216-1221 - [c70]Yong Liu, Qiangfu Zhao, Yan Pei:
Error awareness by lower and upper bounds in ensemble learning. ICNC 2015: 14-18 - [c69]Yong Liu:
Negative Correlation Learning with Difference Learning. ISICA 2015: 264-274 - [c68]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei:
Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR 2015: 155-160 - 2014
- [j16]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jeng-Shyang Pan:
Multi-strategy ensemble artificial bee colony algorithm. Inf. Sci. 279: 587-603 (2014) - [c67]Yong Liu, Qiangfu Zhao, Yan Pei:
Ensemble Learning with Correlation-Based Penalty. DASC 2014: 350-353 - [c66]Yong Liu, Qiangfu Zhao, Yan Pei:
Control of correlation in negative correlation learning. ICNC 2014: 7-11 - [c65]Yong Liu, Qiangfu Zhao, Yan Pei:
From low negative correlation learning to high negative correlation learning. IJCNN 2014: 171-174 - [c64]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Improving performance of decision boundary making with support vector machine based outlier detection. ISIC 2014: 32-37 - [c63]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Study on the effect of learning parameters on decision boundary making algorithm. SMC 2014: 705-710 - [c62]Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu:
A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC 2014: 3481-3486 - 2013
- [j15]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): 552-560 (2013) - [c61]Yong Liu:
Transition Learning by Negative Correlation Learning. ICCC 2013: 83 - [c60]Yong Liu:
Transition learning for creating diverse neural networks. BMEI 2013: 778-781 - [c59]Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai:
An intelligent state machine towards task-oriented search support. CYBCONF 2013: 46-50 - [c58]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Make decision boundary smoother by transition learning. iCAST/UMEDIA 2013: 58-63 - [c57]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: 497-503 - [c56]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC 2013: 2647-2650 - [c55]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen:
Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC 2013: 2831-2836 - [c54]Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen:
Feature Point Detection in Image Morphing Based Steganography. SMC 2013: 2837-2842 - 2012
- [c53]Yong Liu:
Constraint awareness in balanced ensemble learning. iCAST 2012: 46-49 - [c52]Yong Liu:
New discoveries in balanced ensemble learning. IJCNN 2012: 1-8 - [c51]Yong Liu:
Balancing Ensemble Learning between Known and Unknown Data. ISICA 2012: 381-388 - [c50]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Variation aware control for reliability. SMC 2012: 2963-2966 - [e9]Zhenhua Li, Xiang Li, Yong Liu, Zhihua Cai:
Computational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Wuhan, China, October 27-28, 2012. Proceedings. Communications in Computer and Information Science 316, Springer 2012, ISBN 978-3-642-34288-2 [contents] - 2011
- [j14]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca:
Enhancing particle swarm optimization using generalized opposition-based learning. Inf. Sci. 181(20): 4699-4714 (2011) - [c49]Yong Liu:
Target shift awareness in balanced ensemble learning. iCAST 2011: 165-169 - [e8]Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu:
Advances in Computation and Intelligence - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6382, Springer 2011, ISBN 978-3-642-16492-7 [contents] - 2010
- [j13]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): 611-629 (2010) - [c48]Yong Liu:
Are long jumps of Cauchy mutations effective in fast evolutionary programming? IEEE Congress on Evolutionary Computation 2010: 1-8 - [c47]Yong Liu:
Measurements in Fast Evolutionary Programming. ISICA (2) 2010: 79-86 - [e7]Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu:
Computational Intelligence and Intelligent Systems - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings. Communications in Computer and Information Science 107, Springer 2010, ISBN 978-3-642-16387-6 [contents]
2000 – 2009
- 2009
- [c46]Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen:
Space transformation search: a new evolutionary technique. GEC Summit 2009: 537-544 - [c45]Yong Liu:
Balanced Learning for Ensembles with Small Neural Networks. ISICA 2009: 163-170 - [e6]Zhihua Cai, Zhenhua Li, Zhuo Kang, Yong Liu:
Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009, Proceedings. Lecture Notes in Computer Science 5821, Springer 2009, ISBN 978-3-642-04842-5 [contents] - 2008
- [c44]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: 392-397 - [c43]Hui Wang, Zhijian Wu, Yong Liu, Sanyou Zeng:
Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator. ICNC (7) 2008: 664-668 - [c42]Yong Liu:
Reduction of difference among trained neural networks by re-learning. IJCNN 2008: 1880-1884 - [c41]Yong Liu:
A Balanced Ensemble Learning with Adaptive Error Functions. ISICA 2008: 1-8 - [c40]Yong Liu:
Correlation between Mutations and Self-adaptation in Evolutionary Programming. ISICA 2008: 58-66 - [e5]Lishan Kang, Zhihua Cai, Xuesong Yan, Yong Liu:
Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings. Lecture Notes in Computer Science 5370, Springer 2008, ISBN 978-3-540-92136-3 [contents] - 2007
- [c39]Yong Liu:
Evolutionary Programming with Operator Adaptation. CIT 2007: 306-311 - [c38]Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng:
Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation 2007: 4750-4756 - [c37]Yong Liu:
Operator Adaptation in Evolutionary Programming. ISICA 2007: 90-99 - [c36]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: 334-343 - [c35]Qing Zhang, Changhe Li, Yong Liu, Lishan Kang:
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA 2007: 344-352 - [c34]Hui Wang, Sanyou Zeng, Yong Liu, Wenjun Wang, Hui Shi, Gang Liu:
Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation. ISICA 2007: 362-371 - [c33]Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng:
A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS 2007: 356-360 - [p2]Yong Liu:
How to Generate Different Neural Networks. Trends in Neural Computation 2007: 225-240 - [e4]Lishan Kang, Yong Liu, Sanyou Zeng:
Evolvable Systems: From Biology to Hardware, 7th International Conference, ICES 2007, Wuhan, China, September 21-23, 2007, Proceedings. Lecture Notes in Computer Science 4684, Springer 2007, ISBN 978-3-540-74625-6 [contents] - [e3]Lishan Kang, Yong Liu, Sanyou Zeng:
Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, Wuhan, China, September 21-23, 2007, Proceedings. Lecture Notes in Computer Science 4683, Springer 2007, ISBN 978-3-540-74580-8 [contents] - 2006
- [j12]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): 9-22 (2006) - [c32]Rui Liu, Sanyou Zeng, Lixin Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu, Yueping Han:
An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design. AHS 2006: 215-221 - [c31]Yong Liu, Xin Yao:
Evolving Neural Network Ensembles by Fitness Sharing. IEEE Congress on Evolutionary Computation 2006: 3289-3293 - [c30]Yong Liu:
How to Stop the Evolutionary Process in Evolving Neural Network Ensembles. ICNC (1) 2006: 185-194 - [c29]Yong Liu, Xin Yao:
Make Fast Evolutionary Programming Robust by Search Step Control. ICNC (1) 2006: 806-815 - [c28]Yong Liu:
Create Stable Neural Networks by Cross-Validation. IJCNN 2006: 3925-3928 - [p1]Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao:
Introduction to Evolvable Hardware. Evolvable Hardware 2006: 1-17 - [e2]Tetsuya Higuchi, Yong Liu, Xin Yao:
Evolvable Hardware. Genetic and Evolutionary Computation, Springer 2006, ISBN 978-0-387-24386-3 [contents] - 2005
- [j11]Takaharu Takeda, Qiangfu Zhao, Yong Liu:
Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. 13: 287-296 (2005) - [c27]Sanyou Zeng, Shuzhen Yao, Lishan Kang, Yong Liu:
An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. EMO 2005: 108-119 - [c26]Yong Liu:
Generate Different Neural Networks by Negative Correlation Learning. ICNC (1) 2005: 149-156 - 2004
- [j10]Xin Yao, Yong Liu:
Evolving Neural Network Ensembles by Minimization of Mutual Information. Int. J. Hybrid Intell. Syst. 1(1): 12-21 (2004) - [c25]Yong Liu:
A Hybrid Neural Network Learning System. CIT 2004: 1016-1021 - 2003
- [c24]Yong Liu, Xin Yao:
Optimisation and Learning in Neural Network Learning. Modelling, Simulation, and Optimization 2003: 167-172 - 2002
- [c23]Yong Liu, Xin Yao:
How to control search step size in fast evolutionary programming. IEEE Congress on Evolutionary Computation 2002: 652-656 - [c22]Xin Yao, Yong Liu:
Getting Most Out of Evolutionary Approaches. Evolvable Hardware 2002: 8-16 - [c21]Yong Liu, Xin Yao:
Search Step Size Control In Fast Evolutionary Programming. GECCO 2002: 225 - [c20]Yong Liu, Xin Yao:
Maintaining Population Diversity By Minimizing Mutual Information. GECCO 2002: 448-455 - [c19]Yong Liu, Xin Yao:
Learning and Evolution by Minimization of Mutual Information. PPSN 2002: 495-504 - 2001
- [c18]Yong Liu, Xin Yao:
Evolving neural networks for Hang Seng stock index forecast. CEC 2001: 256-260 - [c17]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Evolving a cooperative population of neural networks by minimizing mutual information. CEC 2001: 384-389 - [c16]Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi:
Scaling up fast evolutionary programming with cooperative coevolution. CEC 2001: 1101-1108 - [c15]Masaya Iwata, Isamu Kajitani, Yong Liu, Nobuki Kajihara, Tetsuya Higuchi:
Implementation of a Gate-Level Evolvable Hardware Chip. ICES 2001: 38-49 - [e1]Yong Liu, Kiyoshi Tanaka, Masaya Iwata, Tetsuya Higuchi, Moritoshi Yasunaga:
Evolvable Systems: From Biology to Hardware, 4th International Conference, ICES 2001 Tokyo, Japan, October 3-5, 2001, Proceedings. Lecture Notes in Computer Science 2210, Springer 2001, ISBN 3-540-42671-X [contents] - 2000
- [j9]Yong Liu, Xin Yao, Tetsuya Higuchi:
Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 4(4): 380-387 (2000) - [c14]Yong Liu, Masaya Iwata, Tetsuya Higuchi, Didier Keymeulen:
An Integrated On-Line Learning System for Evolving Programmable Logic Array Controllers. PPSN 2000: 589-598
1990 – 1999
- 1999
- [j8]Yong Liu, Xin Yao:
Negatively correlated neural networks for classification. Artif. Life Robotics 3(4): 255-259 (1999) - [j7]Yong Liu, Xin Yao:
Ensemble learning via negative correlation. Neural Networks 12(10): 1399-1404 (1999) - [j6]Xin Yao, Yong Liu, Guangming Lin:
Evolutionary programming made faster. IEEE Trans. Evol. Comput. 3(2): 82-102 (1999) - [j5]Yong Liu, Xin Yao:
Simultaneous training of negatively correlated neural networks in an ensemble. IEEE Trans. Syst. Man Cybern. Part B 29(6): 716-725 (1999) - [c13]Xin Yao, Yong Liu:
Neural networks for breast cancer diagnosis. CEC 1999: 1760-1767 - 1998
- [j4]Xin Yao, Yong Liu:
Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man Cybern. Part B 28(3): 417-425 (1998) - [c12]Xin Yao, Yong Liu:
Scaling Up Evolutionary Programming Algorithms. Evolutionary Programming 1998: 103-112 - [c11]Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman:
An Experimental Investigation of Self-Adaptation in Evolutionary Programming. Evolutionary Programming 1998: 291-300 - [c10]Yong Liu, Xin Yao:
Towards Designing Neural Network Ensembles by Evolution. PPSN 1998: 623-632 - [c9]Yong Liu, Xin Yao:
Time Series Prediction by Using Negatively Correlated Neural Networks. SEAL 1998: 333-340 - 1997
- [j3]Xin Yao, Yong Liu:
A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Networks 8(3): 694-713 (1997) - [c8]Xin Yao, Yong Liu:
Fast Evolution Strategies. Evolutionary Programming 1997: 151-162 - [c7]Xin Yao, Guangming Lin, Yong Liu:
An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes. Evolutionary Programming 1997: 297-307 - 1996
- [c6]Xin Yao, Yong Liu:
Evolving Artificial Neural Networks through Evolutionary Programming. Evolutionary Programming 1996: 257-266 - [c5]Xin Yao, Yong Liu:
Fast Evolutionary Programming. Evolutionary Programming 1996: 451-460 - [c4]Xin Yao, Yong Liu:
Ensemble Structure of Evolutionary Artificial Neural Networks. International Conference on Evolutionary Computation 1996: 659-664 - [c3]Yong Liu, Xin Yao:
Evolutionary Design of Artificial Neural Networks with Different Nodes. International Conference on Evolutionary Computation 1996: 670-675 - [c2]Xin Yao, Yong Liu:
EPNet for Chaotic Time-Series Prediction. SEAL 1996: 146-156 - 1995
- [j2]Yong Liu, Lishan Kang, David J. Evans:
The Annealing Evolution Algorithm as Function Optimizer. Parallel Comput. 21(3): 389-400 (1995) - 1994
- [j1]Yong Liu, Lishan Kang, David J. Evans:
The Annealing Evolution Algorithm. Parallel Algorithms Appl. 3(1-2): 145-150 (1994) - [c1]Zhengjun Pan, Lishan Kang, Jun He, Yong Liu:
An Evolutionary Approach to Adaptive Model-Building. Evo Workshops 1994: 236-244
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-12-11 20:44 CET by the dblp team
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