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2020 – today
- 2024
[j32]Qun Meng, Haowei Wang, Songhao Wang
, Szu Hui Ng:
Enhanced Global Optimization With Parallel Global and Local Structures for Real-Time Control Systems. IEEE Trans Autom. Sci. Eng. 21(3): 3298-3309 (2024)- [i6]Zheyi Fan, Wenyu Wang, Szu Hui Ng, Qingpei Hu:
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization. CoRR abs/2405.15285 (2024) - [i5]Wenyu Wang, Zheyi Fan, Szu Hui Ng:
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining. CoRR abs/2405.15303 (2024) - 2023
- [i4]Zheyi Fan, Szu Hui Ng, Qingpei Hu:
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms. CoRR abs/2305.12220 (2023) - 2022
- [j31]Songhao Wang, Szu Hui Ng, William Benjamin Haskell:
A Multilevel Simulation Optimization Approach for Quantile Functions. INFORMS J. Comput. 34(1): 569-585 (2022) - [j30]Qun Meng, Songhao Wang, Szu Hui Ng:
Combined Global and Local Search for Optimization with Gaussian Process Models. INFORMS J. Comput. 34(1): 622-637 (2022) - [c33]Mengrui Mina Jiang, Giulia Pedrielli, Szu Hui Ng:
Gaussian Processes for High-Dimensional, Large Data Sets: A Review. WSC 2022: 49-60 - [i3]Shouri Hu, Haowei Wang, Zhongxiang Dai, Bryan Kian Hsiang Low, Szu Hui Ng:
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization. CoRR abs/2205.04901 (2022) - [i2]Haowei Wang, Ercong Zhang, Szu Hui Ng, Giulia Pedrielli:
A model aggregation approach for high-dimensional large-scale optimization. CoRR abs/2205.07525 (2022) - 2021
- [j29]Logan Mathesen, Giulia Pedrielli, Szu Hui Ng, Zelda B. Zabinsky:
Stochastic optimization with adaptive restart: a framework for integrated local and global learning. J. Glob. Optim. 79(1): 87-110 (2021) - [i1]Qun Meng, Songhao Wang, Szu Hui Ng:
Combined Global and Local Search for Optimization with Gaussian Process Models. CoRR abs/2107.03217 (2021) - 2020
- [j28]Giulia Pedrielli, Songhao Wang, Szu Hui Ng:
An extended Two-Stage Sequential Optimization approach: Properties and performance. Eur. J. Oper. Res. 287(3): 929-945 (2020) - [j27]Haowei Wang, Jun Yuan, Szu Hui Ng:
Gaussian process based optimization algorithms with input uncertainty. IISE Trans. 52(4): 377-393 (2020) - [j26]Giulia Pedrielli, Yifan Xing, Jia Hao Peh, Kim Wee Koh, Szu Hui Ng:
A Real Time Simulation Optimization Framework for Vessel Collision Avoidance and the Case of Singapore Strait. IEEE Trans. Intell. Transp. Syst. 21(3): 1204-1215 (2020) - [j25]Songhao Wang, Szu Hui Ng:
Enhancing Response Predictions with a Joint Gaussian Process Model for Stochastic Simulation Models. ACM Trans. Model. Comput. Simul. 30(1): 4:1-4:25 (2020) - [j24]Jun Yuan, Szu Hui Ng:
An Integrated Method for Simultaneous Calibration and Parameter Selection in Computer Models. ACM Trans. Model. Comput. Simul. 30(1): 7:1-7:23 (2020) - [c32]Maxime Xuereb, Szu Hui Ng, Giulia Pedrielli:
Stochastic Gaussian Process Model Averaging for High-Dimensional Inputs. WSC 2020: 373-384 - [c31]Songhao Wang, Szu Hui Ng:
Partition-Based Bayesian Optimization for Stochastic Simulations. WSC 2020: 2832-2843 - [c30]Haowei Wang, Szu Hui Ng, Xun Zhang:
A Gaussian Process Based Algorithm for Stochastic Simulation Optimization with Input Distribution Uncertainty. WSC 2020: 2899-2910
2010 – 2019
- 2019
- [j23]Nan Zhang, Jun Yuan, Szu Hui Ng:
A data-driven online truncation method for transient bias reduction in steady-state simulations. Comput. Ind. Eng. 135: 723-745 (2019) - [j22]Guilin Li, Matthias Hwai Yong Tan, Szu Hui Ng:
Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. IISE Trans. 51(5): 517-530 (2019) - [c29]Maxime Xuereb, Tian Ming Huo, Szu Hui Ng:
Principal Component Analysis for High Dimension Stochastic Gaussian Process Model Fitting. IEEM 2019: 632-636 - 2018
- [c28]Haowei Wang, Jun Yuan, Szu Hui Ng:
Informational Approach to Global Optimization with Input Uncertainty for Homoscedastic Stochastic Simulation. IEEM 2018: 1396-1400 - [c27]Songhao Wang, Szu Hui Ng, William Benjamin Haskell:
Quantile simulation Optimization with stochastic Co-Kriging Model. WSC 2018: 2119-2130 - 2017
- [c26]Songhao Wang, Szu Hui Ng:
A joint Gaussian process metamodel to improve quantile predictions. WSC 2017: 1891-1902 - [c25]Qun Meng, Szu Hui Ng:
Enhancing pattern search for global optimization with an additive global and local Gaussian Process model. WSC 2017: 2092-2103 - [c24]Logan Mathesen, Giulia Pedrielli, Szu Hui Ng:
Trust region based stochastic optimization with adaptive restart: A family of global optimization algorithms. WSC 2017: 2104-2115 - 2016
- [c23]Giulia Pedrielli, Szu Hui Ng:
G-STAR: A new Kriging-based trust region method for global optimization. WSC 2016: 803-814 - [c22]Qun Meng, Szu Hui Ng:
Combined Global and Local method for stochastic simulation optimization with an AGLGP model. WSC 2016: 827-838 - 2015
- [j21]Sugoutam Ghosh, Loo Hay Lee, Szu Hui Ng:
Bunkering decisions for a shipping liner in an uncertain environment with service contract. Eur. J. Oper. Res. 244(3): 792-802 (2015) - [j20]Jun Yuan, Szu Hui Ng:
Calibration, Validation, and Prediction in Random Simulation Models: Gaussian Process Metamodels and a Bayesian Integrated Solution. ACM Trans. Model. Comput. Simul. 25(3): 18:1-18:25 (2015) - [c21]Guilin Li, Royston Tan, Szu Hui Ng, Daniel Chua:
Hurdle model with random effects for the study of copper hillocks growth in integrated circuits manufacturing. IEEM 2015: 376-380 - [c20]Hongtao Chi, Giulia Pedrielli, Thomas Kister, Szu Hui Ng, Stéphane Bressan:
An AIS-based framework for real time monitoring of vessels efficiency. IEEM 2015: 1218-1222 - [c19]Qun Meng, Szu Hui Ng:
An additive global and local gaussian process model for large data sets. WSC 2015: 505-516 - [c18]Giulia Pedrielli, Szu Hui Ng:
Kriging-based simulation-optimization: a stochastic recursion perspective. WSC 2015: 3834-3845 - 2014
- [j19]Min Xie, Chengjie Xiong, Szu Hui Ng:
A study of N-version programming and its impact on software availability. Int. J. Syst. Sci. 45(10): 2145-2157 (2014) - [c17]Xingyi Chen, Giulia Pedrielli, Szu Hui Ng:
SNAT: simulation-based search for navigation safety. The case of Singapore strait. WSC 2014: 1819-1830 - 2013
- [j18]Jun Yuan, Szu Hui Ng:
A sequential approach for stochastic computer model calibration and prediction. Reliab. Eng. Syst. Saf. 111: 273-286 (2013) - [j17]Jun Yuan, Szu Hui Ng, Kwok Leung Tsui:
Calibration of Stochastic Computer Models Using Stochastic Approximation Methods. IEEE Trans Autom. Sci. Eng. 10(1): 171-186 (2013) - [c16]Yuan Jun, Szu Hui Ng:
An entropy based sequential calibration approach for stochastic computer models. WSC 2013: 589-600 - 2012
- [j16]Xiang Li, Min Xie, Szu Hui Ng:
Multi-Objective Optimization Approaches to Software Release Time Determination. Asia Pac. J. Oper. Res. 29(3) (2012) - [j15]Zhishuang Yao, Szu Hui Ng, Loo Hay Lee:
A study on bunker fuel management for the shipping liner services. Comput. Oper. Res. 39(5): 1160-1172 (2012) - [j14]Szu Hui Ng, Jun Yin:
Bayesian Kriging Analysis and Design for Stochastic Simulations. ACM Trans. Model. Comput. Simul. 22(3): 17:1-17:26 (2012) - 2011
- [j13]Xiang Li, Yan-Fu Li, Min Xie, Szu Hui Ng:
Reliability analysis and optimal version-updating for open source software. Inf. Softw. Technol. 53(9): 929-936 (2011) - [j12]Rui Peng, Gregory Levitin, Min Xie, Szu Hui Ng:
Optimal defence of single object with imperfect false targets. J. Oper. Res. Soc. 62(1): 134-141 (2011) - [j11]Chengjie Xiong, Min Xie, Szu Hui Ng:
Optimal software maintenance policy considering unavailable time. J. Softw. Maintenance Res. Pract. 23(1): 21-33 (2011) - [c15]Ola Tannous, Liudong Xing, Rui Peng, Min Xie, Szu Hui Ng:
Redundancy allocation for series-parallel warm-standby systems. IEEM 2011: 1261-1265 - [c14]Qingpei Hu, Rui Peng, Min Xie, Szu Hui Ng, Gregory Levitin:
Software reliability modelling and optimization for multi-release software development processes. IEEM 2011: 1534-1538 - [c13]Jun Yuan, Szu Hui Ng:
Bayesian calibration of stochastic computer models. IEEM 2011: 1695-1699 - 2010
- [j10]Yan-Fu Li, Szu Hui Ng, Min Xie, T. N. Goh:
A systematic comparison of metamodeling techniques for simulation optimization in Decision Support Systems. Appl. Soft Comput. 10(4): 1257-1273 (2010) - [j9]Rui Peng, Gregory Levitin, Min Xie, Szu Hui Ng:
Defending simple series and parallel systems with imperfect false targets. Reliab. Eng. Syst. Saf. 95(6): 679-688 (2010) - [c12]Rui Peng, Q. P. Hu, Szu Hui Ng, Min Xie:
Testing Effort Dependent Software FDP and FCP Models with Consideration of Imperfect Debugging. SSIRI 2010: 141-146 - [c11]Jun Yin, Szu Hui Ng, Kien Ming Ng:
A Bayesian metamodeling approach for stochastic simulations. WSC 2010: 1055-1066
2000 – 2009
- 2009
- [c10]Chengjie Xiong, Yan-Fu Li, Min Xie, Szu Hui Ng, Thong Ngee Goh:
Service Reliability and Availability Analysis of Distributed Software Systems Considering Malware Attack. FGIT-ASEA 2009: 313-320 - [c9]Jun Yin, Szu Hui Ng, Kien Ming Ng:
A Study on the Effects of Parameter Estimation on Kriging Model's Prediction Error in Stochastic Simulations. WSC 2009: 674-685 - 2008
- [j8]Quan Long, Min Xie, Szu Hui Ng, Gregory Levitin:
Reliability analysis and optimization of weighted voting systems with continuous states input. Eur. J. Oper. Res. 191(1): 240-252 (2008) - [j7]Chenggang Bai, Kai-Yuan Cai, Q. P. Hu, Szu Hui Ng:
On the Trend of Remaining Software Defect Estimation. IEEE Trans. Syst. Man Cybern. Part A 38(5): 1129-1142 (2008) - 2007
- [j6]Min Xie, Qingpei Hu, Y. P. Wu, Szu Hui Ng:
A study of the modeling and analysis of software fault-detection and fault-correction processes. Qual. Reliab. Eng. Int. 23(4): 459-470 (2007) - [j5]Q. P. Hu, Min Xie, Szu Hui Ng, Gregory Levitin:
Robust recurrent neural network modeling for software fault detection and correction prediction. Reliab. Eng. Syst. Saf. 92(3): 332-340 (2007) - [j4]Y. P. Wu, Q. P. Hu, Min Xie, Szu Hui Ng:
Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time Dependency. IEEE Trans. Reliab. 56(4): 629-642 (2007) - [j3]Yuan-Shun Dai, Min Xie, Quan Long, Szu Hui Ng:
Uncertainty Analysis in Software Reliability Modeling by Bayesian Analysis with Maximum-Entropy Principle. IEEE Trans. Software Eng. 33(11): 781-795 (2007) - [p1]Q. P. Hu, Min Xie, Szu Hui Ng:
Software Reliability Predictions using Artificial Neural Networks. Intelligence in Reliability Engineering 2007: 197-222 - 2006
- [j2]Szu Hui Ng, Stephen E. Chick:
Reducing parameter uncertainty for stochastic systems. ACM Trans. Model. Comput. Simul. 16(1): 26-51 (2006) - [c8]Q. P. Hu, Yuan-Shun Dai, Min Xie, Szu Hui Ng:
Early Software Reliability Prediction with Extended ANN Model. COMPSAC (2) 2006: 234-239 - [c7]Y. P. Wu, Q. P. Hu, Min Xie, Szu Hui Ng:
Detection and Correction Process Modeling Considering the Time Dependency. PRDC 2006: 19-25 - [c6]Q. P. Hu, Min Xie, Szu Hui Ng:
Early Software Reliability Prediction with ANN Models. PRDC 2006: 210-220 - 2005
- [j1]Chenggang Bai, Q. P. Hu, Min Xie, Szu Hui Ng:
Software failure prediction based on a Markov Bayesian network model. J. Syst. Softw. 74(3): 275-282 (2005) - [c5]Y. P. Wu, Q. P. Hu, Szu Hui Ng, Min Xie:
Bayesian Networks Modeling for Software Inspection Effectiveness. PRDC 2005: 65-74 - 2004
- [c4]Kai Xu, Szu Hui Ng, S. L. Ho:
Time Series Analysis for Quality Improvement: a Soft Computing Approach. ESANN 2004: 109-114 - 2003
- [c3]Germán Riaño, Richard F. Serfozo, Steven Hackman, Szu Hui Ng, Lai Peng Chan, Peter Lendermann:
Simulation test bed for manufacturing analysis: benchmarking of a stochastic production planning model in a simulation testbed. WSC 2003: 1183-1191 - 2002
- [c2]Stephen E. Chick, Szu Hui Ng:
Simulation input analysis: joint criterion for factor identification and parameter estimation. WSC 2002: 400-406 - 2001
- [c1]Szu Hui Ng, Stephen E. Chick:
Reducing input parameter uncertainty for simulations. WSC 2001: 364-371
Coauthor Index
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