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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.uni-trier.de./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)
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Journal Articles
- 2024
[j26]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)- [j25]Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu:
YOLIC: An efficient method for object localization and classification on edge devices. Image Vis. Comput. 147: 105095 (2024) - 2023
- [j24]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) - [j23]Xiaosong Zhao, Yong Liu, Qiangfu Zhao:
Cost Harmonization LightGBM-Based Stock Market Prediction. IEEE Access 11: 105009-105026 (2023) - 2021
- [j22]Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu:
CMNN: Coupled Modular Neural Network. IEEE Access 9: 93871-93891 (2021) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2005
- [j11]Takaharu Takeda, Qiangfu Zhao, Yong Liu:
Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. 13: 287-296 (2005) - 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) - 2000
- [j9]Yong Liu, Xin Yao, Tetsuya Higuchi:
Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. 4(4): 380-387 (2000) - 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) - 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) - 1997
- [j3]Xin Yao, Yong Liu:
A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Networks 8(3): 694-713 (1997) - 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)
Conference and Workshop Papers
- 2024
- [c93]Kai Su, Qiangfu Zhao, Yoichi Tomioka, Yong Liu:
Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. MobileCloud 2024: 24-31 - 2023
- [c92]Yan Lyu, Yong Liu, Qiangfu Zhao:
Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE 2023: 210-215 - 2022
- [c91]Yan Lyu, Qiangfu Zhao, Yong Liu:
End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. RACS 2022: 71-76 - 2019
- [c90]Yong Liu:
Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles. ICNC-FSKD 2019: 113-120 - [c89]Yong Liu:
Learning Target Selection in Creating Negatively Correlated Neural Networks. ISICA 2019: 799-807 - 2018
- [c88]Yong Liu:
Learning Targets for Building Cooperation Awareness in Ensemble Learning. iCAST 2018: 16-19 - [c87]Yong Liu:
Negative Correlation Learning with Multiple Target Values. ICNC-FSKD 2018: 14-18 - 2017
- [c86]Yong Liu:
Random separation learning for neural network ensembles. CISP-BMEI 2017: 1-4 - [c85]Yong Liu:
Computational awareness for learning neural network ensembles. ICIA 2017: 376-380 - [c84]Yong Liu:
Build correlation awareness in negative correlation learning. ICNC-FSKD 2017: 32-36 - [c83]Yong Liu:
Bidirectional Negative Correlation Learning. ISICA (1) 2017: 84-92 - 2016
- [c82]Yong Liu:
Control of the error signals by self-awareness in committee machines. CISP-BMEI 2016: 2005-2008 - [c81]Yong Liu:
Enforcing negativity in negative correlation learning. ICIA 2016: 1122-1125 - [c80]Yong Liu:
Learning self-awareness in committee machines. ICMLC 2016: 888-893 - [c79]Yong Liu:
Negative selection in negative correlation learning. ICNC-FSKD 2016: 41-45 - [c78]Yong Liu:
How to confine errors in negative correlation learning. IJCNN 2016: 4070-4075 - [c77]Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu:
DBM vs ELM: A study on effective training of compact MLP. SMC 2016: 1291-1296 - [c76]Yuya Kaneda, Qiangfu Zhao, Yong Liu:
Guide data generation for on-line learning of DBM-initialized MLP. SMC 2016: 1340-1345 - [c75]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 - [c74]Yong Liu:
Negative selections in ensemble learning. SSCI 2016: 1-5 - 2015
- [c73]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 - [c72]Yong Liu, Qiangfu Zhao, Yan Pei:
Bounded learning for neural network ensembles. ICIA 2015: 1216-1221 - [c71]Yong Liu, Qiangfu Zhao, Yan Pei:
Error awareness by lower and upper bounds in ensemble learning. ICNC 2015: 14-18 - [c70]Yong Liu:
Negative Correlation Learning with Difference Learning. ISICA 2015: 264-274 - [c69]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
- [c68]Yong Liu, Qiangfu Zhao, Yan Pei:
Ensemble Learning with Correlation-Based Penalty. DASC 2014: 350-353 - [c67]Yong Liu, Qiangfu Zhao, Yan Pei:
Control of correlation in negative correlation learning. ICNC 2014: 7-11 - [c66]Yong Liu, Qiangfu Zhao, Yan Pei:
From low negative correlation learning to high negative correlation learning. IJCNN 2014: 171-174 - [c65]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 - [c64]Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu:
Study on the effect of learning parameters on decision boundary making algorithm. SMC 2014: 705-710 - [c63]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
- [c62]Yong Liu:
Transition Learning by Negative Correlation Learning. ICCC 2013: 83 - [c61]Yong Liu:
Transition learning for creating diverse neural networks. BMEI 2013: 778-781 - [c60]Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai:
An intelligent state machine towards task-oriented search support. CYBCONF 2013: 46-50 - [c59]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Make decision boundary smoother by transition learning. iCAST/UMEDIA 2013: 58-63 - [c58]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 - [c57]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC 2013: 2647-2650 - [c56]Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen:
Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC 2013: 2831-2836 - [c55]Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen:
Feature Point Detection in Image Morphing Based Steganography. SMC 2013: 2837-2842 - 2012
- [c54]Yong Liu:
Constraint awareness in balanced ensemble learning. iCAST 2012: 46-49 - [c53]Yong Liu:
New discoveries in balanced ensemble learning. IJCNN 2012: 1-8 - [c52]Yong Liu:
Balancing Ensemble Learning between Known and Unknown Data. ISICA 2012: 381-388 - [c51]Yong Liu, Qiangfu Zhao, Neil Y. Yen:
Variation aware control for reliability. SMC 2012: 2963-2966 - 2011
- [c50]Yong Liu:
Target shift awareness in balanced ensemble learning. iCAST 2011: 165-169 - 2010
- [c49]Yong Liu:
Are long jumps of Cauchy mutations effective in fast evolutionary programming? IEEE Congress on Evolutionary Computation 2010: 1-8 - [c48]Yong Liu:
Measurements in Fast Evolutionary Programming. ISICA (2) 2010: 79-86 - 2009
- [c47]Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen:
Space transformation search: a new evolutionary technique. GEC Summit 2009: 537-544 - [c46]Yong Liu:
Balanced Learning for Ensembles with Small Neural Networks. ISICA 2009: 163-170 - 2008
- [c45]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 - [c44]Hui Wang, Zhijian Wu, Yong Liu, Sanyou Zeng:
Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator. ICNC (7) 2008: 664-668 - [c43]Yong Liu:
Reduction of difference among trained neural networks by re-learning. IJCNN 2008: 1880-1884 - [c42]Yong Liu:
A Balanced Ensemble Learning with Adaptive Error Functions. ISICA 2008: 1-8 - [c41]Yong Liu:
Correlation between Mutations and Self-adaptation in Evolutionary Programming. ISICA 2008: 58-66 - 2007
- [c40]Yong Liu:
Evolutionary Programming with Operator Adaptation. CIT 2007: 306-311 - [c39]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 - [c38]Yong Liu:
Operator Adaptation in Evolutionary Programming. ISICA 2007: 90-99 - [c37]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 - [c36]Qing Zhang, Changhe Li, Yong Liu, Lishan Kang:
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA 2007: 344-352 - [c35]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 - [c34]Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng:
A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS 2007: 356-360 - 2006
- [c33]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 - [c32]Yong Liu, Xin Yao:
Evolving Neural Network Ensembles by Fitness Sharing. IEEE Congress on Evolutionary Computation 2006: 3289-3293 - [c31]Yong Liu:
How to Stop the Evolutionary Process in Evolving Neural Network Ensembles. ICNC (1) 2006: 185-194 - [c30]Yong Liu, Xin Yao:
Make Fast Evolutionary Programming Robust by Search Step Control. ICNC (1) 2006: 806-815 - [c29]Yong Liu:
Create Stable Neural Networks by Cross-Validation. IJCNN 2006: 3925-3928 - 2005
- [c28]Sanyou Zeng, Shuzhen Yao, Lishan Kang, Yong Liu:
An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. EMO 2005: 108-119 - [c27]Yong Liu:
Generate Different Neural Networks by Negative Correlation Learning. ICNC (1) 2005: 149-156 - [c26]Yong Liu:
How to find different neural networks by negative correlation learning. IJCNN 2005: 3330-3333 - 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 - 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 - 1999
- [c13]Xin Yao, Yong Liu:
Neural networks for breast cancer diagnosis. CEC 1999: 1760-1767 - 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
- [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 - 1994
- [c1]Zhengjun Pan, Lishan Kang, Jun He, Yong Liu:
An Evolutionary Approach to Adaptive Model-Building. Evo Workshops 1994: 236-244
Parts in Books or Collections
- 2007
- [p2]Yong Liu:
How to Generate Different Neural Networks. Trends in Neural Computation 2007: 225-240 - 2006
- [p1]Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao:
Introduction to Evolvable Hardware. Evolvable Hardware 2006: 1-17
Editorship
- 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] - 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] - 2018
- [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
- [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
- [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] - 2012
- [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
- [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
- [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] - 2009
- [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
- [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
- [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
- [e2]Tetsuya Higuchi, Yong Liu, Xin Yao:
Evolvable Hardware. Genetic and Evolutionary Computation, Springer 2006, ISBN 978-0-387-24386-3 [contents] - 2001
- [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]
Informal and Other Publications
- 2023
- [i1]Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu:
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices. CoRR abs/2307.06689 (2023)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-31 23:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
