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ORCIDYiwen Liao
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2020 – today
- 2024
[c11]Yiwen Liao, Yuchao Jiang, Zhangpeng Chen, Basem Suleiman:
FeedbackPulse: GPT-Enabled Feedback Assistant for Software Engineering Educators. CSEE&T 2024: 1-2- 2022
- [c10]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:
Intelligent Methods for Test and Reliability. DATE 2022: 969-974 - [c9]Yiwen Liao, Bin Yang:
To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification. IJCNN 2022: 1-8 - [c8]Yiwen Liao, Raphaël Latty, Paul R. Genssler, Hussam Amrouch, Bin Yang:
Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information. ITC 2022: 1-9 - [c7]Yiwen Liao, Zahra Paria Najafi-Haghi, Hans-Joachim Wunderlich, Bin Yang:
Efficient and Robust Resistive Open Defect Detection Based on Unsupervised Deep Learning. ITC 2022: 185-193 - [i9]Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang:
Conditional Variable Selection for Intelligent Test. CoRR abs/2207.00335 (2022) - [i8]Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir:
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning. CoRR abs/2207.00336 (2022) - [i7]Yiwen Liao, Jochen Rivoir, Raphaël Latty, Bin Yang:
Deep Feature Selection Using a Novel Complementary Feature Mask. CoRR abs/2209.12282 (2022) - [i6]Yiwen Liao, Raphaël Latty, Bin Yang:
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning. CoRR abs/2209.15249 (2022) - 2021
- [j3]Yiwen Liao, Abdullah Yeaser, Bin Yang, James Tung, Ehsan Hashemi:
Unsupervised fault detection and recovery for intelligent robotic rollators. Robotics Auton. Syst. 146: 103876 (2021) - [j2]Yiwen Liao, Ehsan Hashemi, Tong Wang, Bin Yang:
A Learning-Aided Generic Framework for Fault Detection and Recovery of Inertial Sensors in Automated Driving Systems. IEEE Syst. J. 15(2): 3001-3011 (2021) - [c6]Yiwen Liao, Alexander Bartler, Bin Yang:
Anomaly Detection Based on Selection and Weighting in Latent Space. CASE 2021: 409-415 - [c5]Yiwen Liao, Raphaël Latty, Bin Yang:
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. IJCNN 2021: 1-9 - [i5]Yiwen Liao, Alexander Bartler, Bin Yang:
Anomaly Detection Based on Selection and Weighting in Latent Space. CoRR abs/2103.04662 (2021) - 2020
- [j1]Patrick Schlachter, Yiwen Liao, Bin Yang:
Deep Open Set Recognition Using Dynamic Intra-class Splitting. SN Comput. Sci. 1(2): 77 (2020) - [i4]Yiwen Liao, Raphaël Latty, Bin Yang:
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization. CoRR abs/2010.13631 (2020)
2010 – 2019
- 2019
- [c4]Patrick Schlachter, Yiwen Liao, Bin Yang:
Deep One-Class Classification Using Intra-Class Splitting. DSW 2019: 100-104 - [c3]Patrick Schlachter, Yiwen Liao, Bin Yang:
Open-Set Recognition Using Intra-Class Splitting. EUSIPCO 2019: 1-5 - [c2]Patrick Schlachter, Yiwen Liao, Bin Yang:
One-Class Feature Learning Using Intra-Class Splitting. EUSIPCO 2019: 1-5 - [i3]Patrick Schlachter, Yiwen Liao, Bin Yang:
Deep One-Class Classification Using Data Splitting. CoRR abs/1902.01194 (2019) - [i2]Patrick Schlachter, Yiwen Liao, Bin Yang:
Open-Set Recognition Using Intra-Class Splitting. CoRR abs/1903.04774 (2019) - 2018
- [i1]Patrick Schlachter, Yiwen Liao, Bin Yang:
One-Class Feature Learning Using Intra-Class Splitting. CoRR abs/1812.08468 (2018) - 2017
- [c1]Chunlai Wang, Bin Yang, Yiwen Liao:
Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing. ICASSP 2017: 1877-1881
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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