Yiwen Liao

According to our database, Yiwen Liao authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Not all features are equal: feature selection based on deep learning.

Yiwen Liao

PhD thesis, 2025

2024

FeedbackPulse: GPT-Enabled Feedback Assistant for Software Engineering Educators.

Yiwen Liao, Yuchao Jiang, Zhangpeng Chen, Basem Suleiman

Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2022

Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning.

Yiwen Liao, Raphaël Latty, Bin Yang

CoRR, 2022

Deep Feature Selection Using a Novel Complementary Feature Mask.

Yiwen Liao, Jochen Rivoir, Raphaël Latty, Bin Yang

CoRR, 2022

A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning.

Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir

CoRR, 2022

Conditional Variable Selection for Intelligent Test.

Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang

CoRR, 2022

Efficient and Robust Resistive Open Defect Detection Based on Unsupervised Deep Learning.

Yiwen Liao, Zahra Paria Najafi-Haghi, Hans-Joachim Wunderlich, Bin Yang

Proceedings of the IEEE International Test Conference, 2022

Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information.

Yiwen Liao, Raphaël Latty, Paul R. Genssler, Hussam Amrouch, Bin Yang

Proceedings of the IEEE International Test Conference, 2022

To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification.

Yiwen Liao, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

Intelligent Methods for Test and Reliability.

Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler, Martin Heinrich, André van Hoorn, Hanieh Jafarzadeh, Ingmar Kallfass, Florian Klemme, Steffen Koch, Ralf Küsters, Andrés Lalama, Raphaël Latty, Yiwen Liao, Natalia Lylina, Zahra Paria Najafi-Haghi, Dirk Pflüger, Ilia Polian, Jochen Rivoir, Matthias Sauer, Denis Schwachhofer, Steffen Templin, Christian Volmer, Stefan Wagner, Daniel Weiskopf, Hans-Joachim Wunderlich, Bin Yang, Martin Zimmermann

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

A Learning-Aided Generic Framework for Fault Detection and Recovery of Inertial Sensors in Automated Driving Systems.

Yiwen Liao, Ehsan Hashemi, Tong Wang, Bin Yang

IEEE Syst. J., 2021

Unsupervised fault detection and recovery for intelligent robotic rollators.

Yiwen Liao, Abdullah Yeaser, Bin Yang, James Tung, Ehsan Hashemi

Robotics Auton. Syst., 2021

Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization.

Yiwen Liao, Raphaël Latty, Bin Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

Anomaly Detection Based on Selection and Weighting in Latent Space.

Yiwen Liao, Alexander Bartler, Bin Yang

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Deep Open Set Recognition Using Dynamic Intra-class Splitting.

Patrick Schlachter, Yiwen Liao, Bin Yang

SN Comput. Sci., 2020

2019

Deep One-Class Classification Using Data Splitting.

Patrick Schlachter, Yiwen Liao, Bin Yang

CoRR, 2019

One-Class Feature Learning Using Intra-Class Splitting.

Patrick Schlachter, Yiwen Liao, Bin Yang

Proceedings of the 27th European Signal Processing Conference, 2019

Open-Set Recognition Using Intra-Class Splitting.

Patrick Schlachter, Yiwen Liao, Bin Yang

Proceedings of the 27th European Signal Processing Conference, 2019

Deep One-Class Classification Using Intra-Class Splitting.

Patrick Schlachter, Yiwen Liao, Bin Yang

Proceedings of the IEEE Data Science Workshop, 2019

2017

Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing.

Chunlai Wang, Bin Yang, Yiwen Liao

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017