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2020 – today
- 2025
[j25]Yi-Cheng Shih, Tian-Shyr Dai
, Ying-Ping Chen, Yen-Wu Ti, Wun-Hao Wang, Yun Kuo:
Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks. Expert Syst. Appl. 259: 125211 (2025)- 2022
- [j24]Wei-Lun Kuo, Wei-Che Chang, Tian-Shyr Dai, Ying-Ping Chen, Hao-Han Chang:
Improving Pairs Trading Strategies Using Two-Stage Deep Learning Methods and Analyses of Time (In)variant Inputs for Trading Performance. IEEE Access 10: 97030-97046 (2022) - 2021
- [c48]Chun-Yien Chang, Ying-Ping Chen:
Contrapuntal Composition and Autonomous Style Development of Organum Motets by using AntsOMG. CEC 2021: 2023-2030 - [c47]Chun-Yien Chang, Ying-Ping Chen:
In the Name of Creativity: En Route to Inspiring Machines. ICCC 2021: 400-404 - 2020
- [c46]Fang-Yi Lo, Chao-Hong Chen, Ying-Ping Chen:
Shrinking Counterexamples in Property-Based Testing with Genetic Algorithms. CEC 2020: 1-8
2010 – 2019
- 2019
- [c45]Chun-Yien Chang, Ying-Ping Chen:
Fusing creative operations into evolutionary computation for composition: From a composer's perspective. CEC 2019: 2113-2120 - [c44]Fang-Yi Lo, Chao-Hong Chen, Ying-Ping Chen:
Genetic algorithms as shrinkers in property-based testing. GECCO (Companion) 2019: 291-292 - 2017
- [c43]Szu-Yi Huang, Ying-Ping Chen:
Proving theorems by using evolutionary search with human involvement. CEC 2017: 1495-1502 - 2016
- [j23]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
Impacts of Task Re-Execution Policy on MapReduce Jobs. Comput. J. 59(5): 701-714 (2016) - [c42]Li-An Yang, Jui-Pin Liu, Chao-Hong Chen, Ying-Ping Chen:
Automatically proving mathematical theorems with evolutionary algorithms and proof assistants. CEC 2016: 4421-4428 - [c41]Wei-Lun Hsu, Ying-Ping Chen:
Learning to select actions in starcraft with genetic algorithms. TAAI 2016: 270-277 - [i2]Li-An Yang, Jui-Pin Liu, Chao-Hong Chen, Ying-Ping Chen:
Automatically Proving Mathematical Theorems with Evolutionary Algorithms and Proof Assistants. CoRR abs/1602.07455 (2016) - 2015
- [j22]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
PAReS: A Proactive and Adaptive Redundant System for MapReduce. J. Inf. Sci. Eng. 31(5): 1775-1793 (2015) - [j21]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
Analyzing job completion reliability and job energy consumption for a heterogeneous MapReduce cluster under different intermediate-data replication policies. J. Supercomput. 71(5): 1657-1677 (2015) - [j20]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
Impact of MapReduce Policies on Job Completion Reliability and Job Energy Consumption. IEEE Trans. Parallel Distributed Syst. 26(5): 1364-1378 (2015) - [j19]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Pareto-based cache replacement for YouTube. World Wide Web 18(6): 1523-1540 (2015) - [c40]Hsuan-wen Tseng, Ying-Ping Chen:
Artistic image processing with cellular automata and evolutionary algorithms. CEC 2015: 2153-2159 - [c39]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
ReMBF: A Reliable Multicast Brute-Force Co-allocation Scheme for Multi-user Data Grids. COMPSAC 2015: 774-783 - [i1]Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
Multiple Configurations LT Codes. CoRR abs/1510.01823 (2015) - 2014
- [j18]Chao-Hong Chen, Ying-Ping Chen:
Quality Analysis of Discretization Methods for Estimation of Distribution Algorithms. IEICE Trans. Inf. Syst. 97-D(5): 1312-1323 (2014) - [j17]Chih-Ming Chen, Ying-Ping Chen:
Connection Choice Codes. IEICE Trans. Commun. 97-B(7): 1350-1357 (2014) - [c38]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen, Waqaas Munawar:
Impact of MapReduce Task Re-execution Policy on Job Completion Reliability and Job Completion Time. AINA 2014: 712-718 - [c37]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Cache Replacement Algorithms for YouTube. AINA 2014: 743-750 - [c36]Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
PSO-based evacuation simulation framework. IEEE Congress on Evolutionary Computation 2014: 1944-1950 - [c35]Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
A novel evaluation function for LT codes degree distribution optimization. IEEE Congress on Evolutionary Computation 2014: 3030-3035 - [c34]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
Developing a Performance-Analysis Model for a Star-Topology Data Grid from Multi-user Perspective. INCoS 2014: 242-248 - 2013
- [j16]Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao:
A Practical Optimization Framework for the Degree Distribution in LT Codes. IEICE Trans. Commun. 96-B(11): 2807-2815 (2013) - [j15]Jih-Yiing Lin, Ying-Ping Chen:
Population sizing for inductive linkage identification. Int. J. Syst. Sci. 44(1): 1-13 (2013) - [j14]Jia-Chun Lin, Fang-Yie Leu, Ying-Ping Chen:
Analyzing job completion reliability and job energy consumption for a general MapReduce infrastructure. J. High Speed Networks 19(3): 203-214 (2013) - [c33]Jia-Chun Lin, Fang-Yie Leu, Ming-Chang Lee, Ying-Ping Chen:
Deriving Job Completion Reliability and Job Energy Consumption for a General MapReduce Infrastructure from Single-Job Perspective. AINA Workshops 2013: 1642-1647 - [c32]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
TSR: Topology Reduction from Tree to Star Data Grids. IMIS 2013: 678-683 - [c31]Jih-Yiing Lin, Ying-Ping Chen:
On the effect of population size and selection mechanism from the viewpoint of collaboration between exploration and exploitation. Memetic Computing 2013: 16-23 - 2012
- [j13]Ming-Chang Lee, Fang-Yie Leu, Ying-Ping Chen:
PFRF: An adaptive data replication algorithm based on star-topology data grids. Future Gener. Comput. Syst. 28(7): 1045-1057 (2012) - [j12]Ying-Ping Chen, Chung-Yao Chuang, Yuan-Wei Huang:
Inductive linkage identification on building blocks of different sizes and types. Int. J. Syst. Sci. 43(12): 2202-2213 (2012) - [c30]Jih-Yiing Lin, Ying-Ping Chen:
When and what kind of memetic algorithms perform well. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c29]Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen:
Sparse degrees analysis for LT Codes Optimization. IEEE Congress on Evolutionary Computation 2012: 1-6 - 2011
- [j11]Chao-Hong Chen, Ying-Ping Chen:
Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction. Adv. Artif. Intell. 2011: 204750:1-204750:7 (2011) - [j10]Pei Jiang, Ying-Ping Chen:
Free lunches on the discrete Lipschitz class. Theor. Comput. Sci. 412(17): 1614-1628 (2011) - [j9]Jih-Yiing Lin, Ying-Ping Chen:
Analysis on the Collaboration Between Global Search and Local Search in Memetic Computation. IEEE Trans. Evol. Comput. 15(5): 608-623 (2011) - 2010
- [j8]Ying-Ping Chen, Chao-Hong Chen:
Enabling the Extended Compact Genetic Algorithm for Real-Parameter Optimization by Using Adaptive Discretization. Evol. Comput. 18(2): 199-228 (2010) - [j7]Chung-Yao Chuang, Ying-Ping Chen:
Sensibility of Linkage Information and Effectiveness of Estimated Distributions. Evol. Comput. 18(4): 547-579 (2010) - [j6]Ying-Ping Chen, Pei Jiang:
Analysis of particle interaction in particle swarm optimization. Theor. Comput. Sci. 411(21): 2101-2115 (2010) - [c28]Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao:
On the optimization of degree distributions in LT code with covariance matrix adaptation evolution strategy. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c27]Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao:
Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j5]Ying-Ping Chen, Ying-yin Lin:
Controlling the movement of crowds in computer graphics by using the mechanism of particle swarm optimization. Appl. Soft Comput. 9(3): 1170-1176 (2009) - [c26]Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang:
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 209-216 - [c25]Yuan-Wei Huang, Ying-Ping Chen:
On the detection of general problem structures by using inductive linkage identification. GECCO 2009: 1853-1854 - 2008
- [c24]Chung-Yao Chuang, Ying-Ping Chen:
On the effectiveness of distributions estimated by probabilistic model building. GECCO 2008: 391-398 - [c23]Jiun-Jiue Liou, Ying-Ping Chen:
Adaptive discretization on multidimensional continuous search spaces. GECCO 2008: 977-984 - [e1]Ying-Ping Chen, Meng-Hiot Lim:
Linkage in Evolutionary Computation. Studies in Computational Intelligence 157, Springer 2008, ISBN 978-3-540-85067-0 [contents] - 2007
- [j4]Ying-Ping Chen, Wen-Chih Peng, Ming-chung Jian:
Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1460-1470 (2007) - [c22]Chung-Yao Chuang, Ying-Ping Chen:
Likage identification by perturbation and decision tree induction. IEEE Congress on Evolutionary Computation 2007: 357-363 - [c21]Ying-yin Lin, Ying-Ping Chen:
Crowd control with swarm intelligence. IEEE Congress on Evolutionary Computation 2007: 3321-3328 - [c20]Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen:
Particle swarm guided evolution strategy. GECCO 2007: 650-657 - [c19]Hong-Wei Chen, Ying-Ping Chen:
Introducing fault tolerance to XCS. GECCO 2007: 1871 - [c18]Chao-Hong Chen, Ying-Ping Chen:
Real-coded ECGA for economic dispatch. GECCO 2007: 1920-1927 - [c17]Ping-Chu Hung, Ying-Ping Chen, Hsiao Wen Zan:
Characteristic determination for solid state devices with evolutionary computation: a case study. GECCO 2007: 2029-2036 - 2006
- [b2]Ying-Ping Chen:
Extending the Scalability of Linkage Learning Genetic Algorithms - Theory & Practice. Studies in Fuzziness and Soft Computing 190, Springer 2006, ISBN 978-3-540-28459-8, pp. 1-108 [contents] - [c16]Ming-chung Jian, Ying-Ping Chen:
Introducing recombination with dynamic linkage discovery to particle swarm optimization. GECCO 2006: 85-86 - [c15]Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen:
Adaptive discretization for probabilistic model building genetic algorithms. GECCO 2006: 1103-1110 - [c14]Ping-Chu Hung, Ying-Ping Chen:
iECGA: integer extended compact genetic algorithm. GECCO 2006: 1415-1416 - [c13]Hong-Wei Chen, Ying-Ping Chen:
FTXI: fault tolerance XCS in integer. GECCO 2006: 1589-1590 - [c12]Tao-Yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, Ying-Ping Chen:
Evolutionary interactive music composition. GECCO 2006: 1863-1864 - 2005
- [j3]Ying-Ping Chen, David E. Goldberg:
Convergence Time for the Linkage Learning Genetic Algorithm. Evol. Comput. 13(3): 279-302 (2005) - 2004
- [b1]Ying-Ping Chen:
Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice. University of Illinois Urbana-Champaign, USA, 2004 - [c11]Ying-Ping Chen, David E. Goldberg:
Convergence time for the linkage learning genetic algorithm. IEEE Congress on Evolutionary Computation 2004: 39-46 - [c10]Ying-Ping Chen, David E. Goldberg:
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) 2004: 971-982 - [c9]Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge:
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. GECCO (2) 2004: 1314-1315 - [c8]Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg:
Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437 - 2003
- [c7]Ying-Ping Chen, David E. Goldberg:
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO 2003: 825-836 - [c6]Ying-Ping Chen, David E. Goldberg:
Tightness Time for the Linkage Learning Genetic Algorithm. GECCO 2003: 837-849 - [c5]Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen:
Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. GECCO 2003: 1620-1621 - 2002
- [c4]Abhishek Singh, David E. Goldberg, Ying-Ping Chen:
Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. GECCO Late Breaking Papers 2002: 419-426 - [c3]Abhishek Singh, David E. Goldberg, Ying-Ping Chen:
Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO 2002: 699 - [c2]Ying-Ping Chen, David E. Goldberg:
Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN 2002: 351-360 - 2001
- [j2]Jorng-Tzong Horng, Ying-Ping Chen, Cheng-Yan Kao:
A Theoetical Aspect of a Stochastic Sketching Method for Global Optimization. J. Inf. Sci. Eng. 17(1): 47-71 (2001)
1990 – 1999
- 1999
- [j1]Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao:
Stochastic sketching: a new method for global optimization. Soft Comput. 3(2): 101-110 (1999) - 1997
- [c1]Jinn-Moon Yang, Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao:
Applying Family Competition to Evolution Strategies for Constrained Optimization. Evolutionary Programming 1997: 201-211
Coauthor Index
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