Weng-Tai Su

According to our database, Weng-Tai Su authored at least 17 papers between 2016 and 2023.

Collaborative distances:

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

2023

Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration.

Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin

Int. J. Comput. Vis., September, 2023

Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning.

Hao-Chiang Shao, Hsing-Lei Ping, Kuo-Shiuan Chen, Weng-Tai Su, Chia-Wen Lin, Shao-Yun Fang, Pin-Yian Tsai, Yan-Hsiu Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques.

Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Chia-Wen Lin, Shang-Hua Yang

IEEE Signal Process. Mag., March, 2023

Kinship Representation Learning with Face Componential Relation.

Weng-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen

CoRR, 2023

2022

Ensemble Learning With Manifold-Based Data Splitting for Noisy Label Correction.

Hao-Chiang Shao, Hsin-Chieh Wang, Weng-Tai Su, Chia-Wen Lin

IEEE Trans. Multim., 2022

2021

DotFAN: A Domain-Transferred Face Augmentation Net.

Hao-Chiang Shao, Kang-Yu Liu, Weng-Tai Su, Chia-Wen Lin, Jiwen Lu

IEEE Trans. Image Process., 2021

Seeing through a Black Box: Toward High-Quality Terahertz TomographicImaging via Multi-Scale Spatio-Spectral Image Fusion.

Weng-Tai Su, Ta-Hsuan Chao, Shang-Hua Yang, Chia-Wen Lin

CoRR, 2021

2020

Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising.

Weng-Tai Su, Gene Cheung, Richard Wildes, Chia-Wen Lin

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination.

Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung

IEEE Trans. Image Process., 2019

2018

Robust Semisupervised Graph Classifier Learning With Negative Edge Weights.

Gene Cheung, Weng-Tai Su, Yu Mao, Chia-Wen Lin

IEEE Trans. Signal Inf. Process. over Networks, 2018

Joint Pairwise Learning and Image Clustering Based on a Siamese CNN.

Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Social Media Prediction Based on Residual Learning and Random Forest.

Chih-Chung Hsu, Ying-Chin Lee, Ping-En Lu, Shian-Shin Lu, Hsiao-Ting Lai, Ching-Chu Huang, Chun Wang, Yang-Jiun Lin, Weng-Tai Su

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Robust graph-based image classifier learning with negative edge weights.

Weng-Tai Su, Gene Cheung, Chia-Wen Lin

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Graph fourier transform with negative edges for depth image coding.

Weng-Tai Su, Gene Cheung, Chia-Wen Lin

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Graph-Based Joint Signal/Power Restoration for Energy Harvesting Wireless Sensor Networks.

Megumi Kaneko, Gene Cheung, Weng-Tai Su, Chia-Wen Lin

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights.

Gene Cheung, Weng-Tai Su, Yu Mao, Chia-Wen Lin

CoRR, 2016

Supervised-learning based face hallucination for enhancing face recognition.

Weng-Tai Su, Chih-Chung Hsu, Chia-Wen Lin, Weiyao Lin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016