2 citations · 4 across the 3 of their papers we have counts for
3 papers
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning
Hao-Chiang Shao, Hsing-Lei Ping, Kuo-shiuan Chen +5
Learning-based pre-simulation (i.e., layout-to-fabrication) models have been proposed to predict the fabrication-induced shape deformation from an IC layout to its fabricated circu…
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
Hao-Chiang Shao, Hsin-Chieh Wang, Weng-Tai Su +1
Label noise in training data can significantly degrade a model's generalization performance for supervised learning tasks. Here we focus on the problem that noisy labels are primar…
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition
Hao-Chiang Shao, Kang-Yu Liu, Chia-Wen Lin +1
The performance of a convolutional neural network (CNN) based face recognition model largely relies on the richness of labelled training data. Collecting a training set with large…