Chia-Yu Hsu

About Chia-Yu Hsu

Chia-Yu Hsu, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at National Taipei University of Technology, specializes in the field of machine learning, big data analytics, predictive maintenance, fault detection, defect inspection.

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

An artificial intelligence transformation model–pod redesign of photomasks in semiconductor manufacturing

Virtual metrology of material removal rate using a one-dimensional convolutional neural network-based bidirectional long short-term memory network with attention

Temporal convolution-based long-short term memory network with attention mechanism for remaining useful life prediction

Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification

Key feature identification for monitoring wafer-to-wafer variation in semiconductor manufacturing

Data visualization of anomaly detection in semiconductor processing tools

L-measure evaluation metric for fake information detection models with binary class imbalance

Applications of new industrial engineering methodologies

Chia-Yu Hsu Information

University

Position

Department of Industrial Engineering and Management

Citations(all)

1671

Citations(since 2020)

1230

Cited By

802

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

36

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Chia-Yu Hsu Skills & Research Interests

machine learning

big data analytics

predictive maintenance

fault detection

defect inspection

Top articles of Chia-Yu Hsu

An artificial intelligence transformation model–pod redesign of photomasks in semiconductor manufacturing

Journal of Industrial and Production Engineering

2023/11/10

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Virtual metrology of material removal rate using a one-dimensional convolutional neural network-based bidirectional long short-term memory network with attention

Computers & Industrial Engineering

2023/12/1

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Temporal convolution-based long-short term memory network with attention mechanism for remaining useful life prediction

IEEE Transactions on Semiconductor Manufacturing

2022/4/6

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification

Journal of Intelligent Manufacturing

2022/3

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Key feature identification for monitoring wafer-to-wafer variation in semiconductor manufacturing

IEEE Transactions on Automation Science and Engineering

2022/1/17

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Data visualization of anomaly detection in semiconductor processing tools

IEEE Transactions on Semiconductor Manufacturing

2021/12/23

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Fei He
Fei He

H-Index: 18

L-measure evaluation metric for fake information detection models with binary class imbalance

Enterprise Information Systems

2021/11/26

Applications of new industrial engineering methodologies

2021/9

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Multiple time-series convolutional neural network for fault detection and diagnosis and empirical study in semiconductor manufacturing

Journal of Intelligent Manufacturing

2021/3

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Corrigendum to “Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes”[Adv. Eng. Informat. 46 (2020) 101166](Advanced Engineering …

Advanced Engineering Informatics

2020/10

Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes

Advanced Engineering Informatics

2020/10/1

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

A new double exponentially weighted moving average run-to-run control using a disturbance-accumulating strategy for mixed-product mode

Quality and Reliability Engineering International

2022/6

An autoencoder gated recurrent unit for remaining useful life prediction

Processes

2020/9/15

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

A review on fault detection and process diagnostics in industrial processes

2020/9/9

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

A two-phase non-dominated sorting particle swarm optimization for chip feature design to improve wafer exposure effectiveness

Computers & Industrial Engineering

2020/9/1

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

Data-driven approach for fault detection and diagnostic in semiconductor manufacturing

International Journal of Electrical Power & Energy Systems

2012/12/1

Similarity matching of wafer bin maps for manufacturing intelligence to empower industry 3.5 for semiconductor manufacturing

Computers & Industrial Engineering

2020/4/1

Chia-Yu Hsu
Chia-Yu Hsu

H-Index: 14

See List of Professors in Chia-Yu Hsu University(National Taipei University of Technology)