L. Jeff Hong
Fudan University
H-index: 34
Asia-China
Top articles of L. Jeff Hong
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Review of Large-Scale Simulation Optimization | arXiv preprint arXiv:2403.15669 | Weiwei Fan L Jeff Hong Guangxin Jiang Jun Luo | 2024/3/23 |
Real-Time Derivative Pricing and Hedging with Consistent Metamodels | INFORMS Journal on Computing | Guangxin Jiang L Jeff Hong Haihui Shen | 2024/2/26 |
Fast Discrete-Event Simulation of Markovian Queueing Networks through Euler Approximation | arXiv preprint arXiv:2402.13259 | L Jeff Hong Yingda Song Tan Wang | 2024/2/2 |
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems | arXiv preprint arXiv:2402.00907 | Ruihan Zhou L Jeff Hong Yijie Peng | 2024/2/1 |
Who is next: Patient prioritization under emergency department blocking | Operations Research | Wenhao Li Zhankun Sun L Jeff Hong | 2023/5 |
Upper-Confidence-Bound Procedure for Robust Selection of The Best | Yuchen Wan L Jeff Hong Weiwei Fan | 2023/12/10 | |
The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection | arXiv preprint arXiv:2303.02951 | Zaile Li Weiwei Fan L Jeff Hong | 2023/3/6 |
Future Research of Supply chain Resilience: Network Perspectives and Incorporation of More Stakeholders | Fundamental Research | L Jeff Hong Jinzhi Li Xiaole Wu Shuyue Yi | 2023/11/15 |
Navigating Publication Outlets for Simulation Research: Insights from Journal Editors | Tom Berg Jose Blanchet Weiwei Chen Christine SM Currie Peter J Haas | 2023 | |
Sensitivity Analysis of CoVaR | Han Fu L Jeff Hong Guangxin Jiang | 2023/8/26 | |
Large-scale inventory optimization: A recurrent neural networks–inspired simulation approach | INFORMS Journal on Computing | Tan Wang L Jeff Hong | 2023/1 |
Gaussian Process-Based Random Search for Continuous Optimization via Simulation | Operations Research | Xiuxian Wang L Jeff Hong Zhibin Jiang Haihui Shen | 2023/8/1 |
Dimension reduction in contextual online learning via nonparametric variable selection | Journal of Machine Learning Research | Wenhao Li Ningyuan Chen L Jeff Hong | 2023 |
Variability scaling and capacity planning in Covid-19 pandemic | Fundamental Research | L Jeff Hong Guangwu Liu Jun Luo Jingui Xie | 2023/7/1 |
Fast Approximation to Discrete-Event Simulation of Markovian Queueing Networks | Tan Wang Yingda Song Jeff Hong | 2023/12/10 | |
Integrating algorithmic sampling-based motion planning with learning in autonomous driving | ACM Transactions on Intelligent Systems and Technology (TIST) | Yifan Zhang Jinghuai Zhang Jindi Zhang Jianping Wang Kejie Lu | 2022/1/18 |
Non-myopic knowledge gradient policy for ranking and selection | Kexin Qin L Jeff Hong Weiwei Fan | 2022/12/11 | |
A new likelihood ratio method for training artificial neural networks | INFORMS Journal on Computing | Yijie Peng Li Xiao Bernd Heidergott L Jeff Hong Henry Lam | 2022/1 |
Solving large-scale fixed-budget ranking and selection problems | INFORMS Journal on Computing | L Jeff Hong Guangxin Jiang Ying Zhong | 2022/11 |
Speeding up Paulson’s procedure for large-scale problems using parallel computing | INFORMS Journal on Computing | Ying Zhong Shaoxuan Liu Jun Luo L Jeff Hong | 2022/1 |
Co-Authors
