Supervised-learning based face hallucination for enhancing face recognition. - Weng-Tai Su; Chih-Chung Hsu; Chia-Wen Lin; Weiyao Lin (ICASSP, 2016)

Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights. - Gene Cheung; Weng-Tai Su; Yu Mao; Chia-Wen Lin (CoRR, 2016)

Graph-Based Joint Signal/Power Restoration for Energy Harvesting Wireless Sensor Networks. - Megumi Kaneko; Gene Cheung; Weng-Tai Su; Chia-Wen Lin (GLOBECOM, 2017)

Graph fourier transform with negative edges for depth image coding. - Weng-Tai Su; Gene Cheung; Chia-Wen Lin (ICIP, 2017)

Robust graph-based image classifier learning with negative edge weights. - Weng-Tai Su; Gene Cheung; Chia-Wen Lin (ICME, 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 (ACM Multimedia, 2017)

Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. - Weng-Tai Su; Chih-Chung Hsu; Ziling Huang; Chia-Wen Lin; Gene Cheung (ICIP, 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)

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)

Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising. - Weng-Tai Su; Gene Cheung; Richard Wildes; Chia-Wen Lin (ICASSP, 2020)

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)

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)

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)

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)

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., 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., 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., 2023)