Stebėti
Haowei Wang
Haowei Wang
Rice-Rick Digitalization PTE. LTD
Patvirtintas el. paštas ricerick.com
Pavadinimas
Cituota
Cituota
Metai
Gaussian process based optimization algorithms with input uncertainty
H Wang, J Yuan, SH Ng
IISE Transactions 52 (4), 377-393, 2020
232020
A Gaussian process based algorithm for stochastic simulation optimization with input distribution uncertainty
H Wang, SH Ng, X Zhang
2020 Winter Simulation Conference (WSC), 2899-2910, 2020
72020
A nonparametric Bayesian approach for simulation optimization with input uncertainty
H Wang, X Zhang, SH Ng
arXiv preprint arXiv:2008.02154, 2020
52020
Informational approach to global optimization with input uncertainty for homoscedastic stochastic simulation
H Wang, J Yuan, SH Ng
2018 IEEE International Conference on Industrial Engineering and Engineering …, 2018
42018
Bayesian optimization with switching cost: Regret analysis and lookahead variants
P Liu, H Wang, W Qiyu
Proceedings of the Thirty-Second International Joint Conference on …, 2023
3*2023
Adjusted expected improvement for cumulative regret minimization in noisy bayesian optimization
S Hu, H Wang, Z Dai, BKH Low, SH Ng
arXiv preprint arXiv:2205.04901, 2022
32022
Distributional Robustness Bounds Generalization Errors
S Wang, H Wang
arXiv preprint arXiv:2212.09962, 2022
12022
Cluster-Based Sampling Allocation for Multi-Fidelity Simulation Optimization
Z Cao, H Li, EP Chew, H Wang, KC Tan
2023 Winter Simulation Conference (WSC), 3448-3459, 2023
2023
Simulation Optimization with Multiple Attempts
J Men, Z Liu, S Wang, H Wang
2023 Winter Simulation Conference (WSC), 3472-3483, 2023
2023
Robust Waveform Design for Integrated Sensing and Communication
S Wang, W Dai, H Wang, GY Li
arXiv preprint arXiv:2311.00071, 2023
2023
Enhanced Global Optimization With Parallel Global and Local Structures for Real-Time Control Systems
Q Meng, H Wang, S Wang, SH Ng
IEEE Transactions on Automation Science and Engineering, 2023
2023
Finite Simulation Budget Allocation for Ranking and Selection
Z Cao, H Wang, EP Chew, H Li, KC Tan
arXiv preprint arXiv:2304.02377, 2023
2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
S Wang, H Wang, J Honorio
arXiv preprint arXiv:2301.13565, 2023
2023
A model aggregation approach for high-dimensional large-scale optimization
H Wang, E Zhang, SH Ng, G Pedrielli
arXiv preprint arXiv:2205.07525, 2022
2022
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–14