フォロー
Yijie Peng
タイトル
引用先
引用先
年
Ranking and selection as stochastic control
Y Peng, EKP Chong, CH Chen, MC Fu
IEEE Transactions on Automatic Control 63 (8), 2359-2373, 2018
882018
A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters
Y Peng, MC Fu, JQ Hu, B Heidergott
Operations Research 66 (2), 487-499, 2018
732018
Dynamic sampling allocation and design selection
Y Peng, CH Chen, MC Fu, JQ Hu
INFORMS Journal on Computing 28 (2), 195-208, 2016
592016
Myopic allocation policy with asymptotically optimal sampling rate
Y Peng, MC Fu
IEEE Transactions on Automatic Control 62 (4), 2041-2047, 2016
452016
Efficient simulation resource sharing and allocation for selecting the best
Y Peng, CH Chen, MC Fu, JQ Hu
IEEE Transactions on Automatic Control 58 (4), 1017-1023, 2012
332012
Validation of digital twins: challenges and opportunities
EY Hua, S Lazarova-Molnar, DP Francis
2022 Winter Simulation Conference (WSC), 2900-2911, 2022
302022
Efficient simulation sampling allocation using multifidelity models
Y Peng, J Xu, LH Lee, J Hu, CH Chen
IEEE Transactions on Automatic Control 64 (8), 3156-3169, 2018
282018
Institute of electrical and electronics engineers
B Feng, G Pedrielli, Y Peng, S Shashaani, E Song, C Corlu, L Lee, ...
Inc.: Piscataway, NJ, USA, 1-12, 1963
281963
Maximum likelihood estimation by Monte Carlo simulation: Toward data-driven stochastic modeling
Y Peng, MC Fu, B Heidergott, H Lam
Operations Research 68 (6), 1896-1912, 2020
272020
Gradient-based myopic allocation policy: An efficient sampling procedure in a low-confidence scenario
Y Peng, CH Chen, MC Fu, JQ Hu
IEEE Transactions on Automatic Control 63 (9), 3091-3097, 2017
272017
Online validation of simulation-based digital twins exploiting time series analysis
G Lugaresi, S Gangemi, G Gazzoni, A Matta
2022 Winter Simulation Conference (WSC), 2912-2923, 2022
202022
On the variance of single-run unbiased stochastic derivative estimators
Z Cui, MC Fu, JQ Hu, Y Liu, Y Peng, L Zhu
INFORMS Journal on Computing 32 (2), 390-407, 2020
202020
On the asymptotic analysis of quantile sensitivity estimation by Monte Carlo simulation
Y Peng, MC Fu, PW Glynn, J Hu
2017 Winter Simulation Conference (WSC), 2336-2347, 2017
202017
Non-monotonicity of probability of correct selection
Y Peng, CH Chen, MC Fu, JQ Hu
2015 Winter Simulation Conference (WSC), 3678-3689, 2015
202015
Context-dependent ranking and selection under a bayesian framework
H Li, H Lam, Z Liang, Y Peng
2020 winter simulation conference (WSC), 2060-2070, 2020
192020
Noise optimization in artificial neural networks
L Xiao, Z Zhang, K Huang, J Jiang, Y Peng
IEEE Transactions on Automation Science and Engineering, 2024
182024
Dynamic sampling allocation under finite simulation budget for feasibility determination
Z Shi, Y Peng, L Shi, CH Chen, MC Fu
INFORMS Journal on Computing 34 (1), 557-568, 2022
182022
Applications of generalized likelihood ratio method to distribution sensitivities and steady-state simulation
L Lei, Y Peng, MC Fu, JQ Hu
Discrete Event Dynamic Systems 28, 109-125, 2018
182018
Efficient learning for clustering and optimizing context-dependent designs
H Li, H Lam, Y Peng
Operations Research 72 (2), 617-638, 2024
162024
A stochastic approximation method for simulation-based quantile optimization
J Hu, Y Peng, G Zhang, Q Zhang
INFORMS Journal on Computing 34 (6), 2889-2907, 2022
162022
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