Matthias HY Tan

Matthias HY Tan

City University of Hong Kong

H-index: 14

Asia-Hong Kong

About Matthias HY Tan

Matthias HY Tan, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of Data Science, Uncertainty Quantification, Design and Analysis of Computer Experiments.

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

A Gaussian process emulator based approach for Bayesian calibration of a functional input

Multi‐fidelity Gaussian process modeling with boundary information

Maximum expected entropy transformed Latin hypercube designs

Shifted log loss Gaussian process model for expected quality loss prediction in robust parameter design

Multiple-target robust design with multiple functional outputs

Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator

Bayesian optimal designs for efficient estimation of the optimum point with generalised linear models

Residual distillation: Towards portable deep neural networks without shortcuts

Matthias HY Tan Information

University

Position

Associate Professor

Citations(all)

570

Citations(since 2020)

385

Cited By

344

hIndex(all)

14

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

13

Email

University Profile Page

City University of Hong Kong

Google Scholar

View Google Scholar Profile

Matthias HY Tan Skills & Research Interests

Data Science

Uncertainty Quantification

Design and Analysis of Computer Experiments

Top articles of Matthias HY Tan

Title

Journal

Author(s)

Publication Date

A Gaussian process emulator based approach for Bayesian calibration of a functional input

Technometrics

Zhaohui Li

Matthias Hwai Yong Tan

2022/7/3

Multi‐fidelity Gaussian process modeling with boundary information

Applied Stochastic Models in Business and Industry

Wenxing Ye

Matthias Hwai Yong Tan

2022/3

Maximum expected entropy transformed Latin hypercube designs

Journal of Applied Statistics

Chong Sheng

Matthias Hwai Yong Tan

Lu Zou

2021/9/10

Shifted log loss Gaussian process model for expected quality loss prediction in robust parameter design

Quality Technology & Quantitative Management

Fan Jiang

Matthias Hwai-Yong Tan

2021/9/3

Multiple-target robust design with multiple functional outputs

IISE Transactions

Fan Jiang

Matthias Hwai Yong Tan

Kwok-Leung Tsui

2021/6/16

Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator

Journal of Quality Technology

Mei Han

Xuejun Liu

Min Huang

Matthias HY Tan

2020/10/1

Bayesian optimal designs for efficient estimation of the optimum point with generalised linear models

Quality Technology & Quantitative Management

Guilin Li

Szu Hui Ng

Matthias Hwai-yong Tan

2020/1/2

Residual distillation: Towards portable deep neural networks without shortcuts

Advances in Neural Information Processing Systems

Guilin Li

Junlei Zhang

Yunhe Wang

Chuanjian Liu

Matthias Tan

...

2020

Bayesian optimization of expected quadratic loss for multiresponse computer experiments with internal noise

SIAM/ASA Journal on Uncertainty Quantification

Matthias HY Tan

2020

Nonparametric link functions with shape constraints in stochastic degradation processes: Application to emerging contaminants

Journal of Quality Technology

Lanqing Hong

Matthias Hwai Yong Tan

Zhi-Sheng Ye

2020/10/1

See List of Professors in Matthias HY Tan University(City University of Hong Kong)