Siyang Gao

About Siyang Gao

Siyang Gao, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of simulation, stochastic models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs

Improving the Knowledge Gradient Algorithm

Felm: Benchmarking factuality evaluation of large language models

A contextual ranking and selection method for personalized medicine

Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation

Evaluating factual consistency of summaries with large language models

Asymptotic optimality of myopic ranking and selection procedures

Siyang Gao Information

University

Position

___

Citations(all)

737

Citations(since 2020)

541

Cited By

415

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

18

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Siyang Gao Skills & Research Interests

simulation

stochastic models

Top articles of Siyang Gao

Title

Journal

Author(s)

Publication Date

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs

Advances in Neural Information Processing Systems

Zhuodong Yu

Ling Dai

Shaohang Xu

Siyang Gao

Chin Pang Ho

2024/2/13

Improving the Knowledge Gradient Algorithm

Advances in Neural Information Processing Systems

Le Yang

Siyang Gao

Chin Pang Ho

2024/2/13

Felm: Benchmarking factuality evaluation of large language models

Advances in Neural Information Processing Systems

Yiran Zhao

Jinghan Zhang

I Chern

Siyang Gao

Pengfei Liu

...

2024/2/13

A contextual ranking and selection method for personalized medicine

Manufacturing & Service Operations Management

Jianzhong Du

Siyang Gao

Chun-Hung Chen

2024/1

Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation

ACM Transactions on Modeling and Computer Simulation

Sait Cakmak

Yuhao Wang

Siyang Gao

Enlu Zhou

2024/4/8

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation

arXiv preprint arXiv:2403.01548

Shiqi Chen

Miao Xiong

Junteng Liu

Zhengxuan Wu

Teng Xiao

...

2024/3/3

Evaluating factual consistency of summaries with large language models

arXiv preprint arXiv:2305.14069

Shiqi Chen

Siyang Gao

Junxian He

2023/5/23

Asymptotic optimality of myopic ranking and selection procedures

Automatica

Yanwen Li

Siyang Gao

Tony Z Shi

2023/5/1

Convergence analysis of stochastic kriging-assisted simulation with random covariates

INFORMS Journal on Computing

Cheng Li

Siyang Gao

Jianzhong Du

2023/3

Optimizing resource allocation in service systems via simulation: A Bayesian formulation

Production and Operations Management

Weiwei Chen

Siyang Gao

Wenjie Chen

Jianzhong Du

2023/1

Convergence rate analysis for optimal computing budget allocation algorithms

Automatica

Yanwen Li

Siyang Gao

2023/7/1

Rate-optimal contextual ranking and selection

arXiv e-prints

Jianzhong Du

Siyang Gao

Chun-Hung Chen

2022/6

Modeling and data analytics in manufacturing and supply chain operations

Weiwei Chen

Siyang Gao

Michael Pinedo

Lixin Tang

2022/6

A Simulation Optimization Approach forPrecision Medicine

Jianzhong Du

Siyang Gao

Chun-Hung Chen

2022

On the finite-time performance of the knowledge gradient algorithm

Yanwen Li

Siyang Gao

2022/6/28

On the convergence of optimal computing budget allocation algorithms

Yanwen Li

Siyang Gao

2021/12/12

Wafer Defect Inspection Optimization With Partial Coverage—A Numerical Approach

IEEE Transactions on Automation Science and Engineering

Ming Qin

Zhongshun Shi

Weiwei Chen

Siyang Gao

Leyuan Shi

2021

See List of Professors in Siyang Gao University(City University of Hong Kong)