Ted T. Kuo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Uniformly Distributed

Semantic Segmentation

Power Generation

Top Venues

Publications

Chia-Yu Lin, Chih-Hung Han, Wei-Chih Yin, Ted T. Kuo
A Cluster-based Privacy-Enhanced Hierarchical Federated Learning Framework with Secure Aggregation. ICNC (2024)
Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Hsien-Kai Kuo, Po-Yu Chen, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo
Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries. ICME Workshops (2023)
Ting-Yu Syu, Ted T. Kuo, Chia-Yu Lin
Gated Tri-Tower Transformer (GT3) - An Inflated Power Generation Attack Detector for Microgrids. ICBC (2023)
Chih-Hung Han, Wei-Chih Yin, Chia-Yu Lin, Ted T. Kuo
CHFDS: Clustered-based Hierarchical Federated Learning Framework with Differential Privacy and Secure Aggregation. ICCE-Taiwan (2023)
Cheng-Hsueh Lin, Chia-Yu Lin, Li-Jen Wang, Ted T. Kuo
Continual Learning with Out-of-Distribution Data Detection for Defect Classification. ICCE-Taiwan (2023)
Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Man-Yu Lee, Kuo Chin-Chuan, Zhe-Ln Hu, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo
Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. ICME Workshops (2022)
Yu-Shu Ni, Chia-Chi Tsai, Jiun-In Guo, Jenq-Neng Hwang, Bo-Xun Wu, Po-Chi Hu, Ted T. Kuo, Po-Yu Chen, Hsien-Kai Kuo
Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. ICMR (2021)
Chia-Chi Tsai, Yong-Hsiang Yang, Hung-Wei Lin, Bo-Xun Wu, En-Chih Chang, Hung Yu Liu, Jhih-Sheng Lai, Po Yuan Chen, Jia-Jheng Lin, Jen Shuo Chang, Li-Jen Wang, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo
The 2020 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. ICME Workshops (2020)
Jiun-In Guo, Chia-Chi Tsai, Yong-Hsiang Yang, Hung-Wei Lin, Bo-Xun Wu, Ted T. Kuo, Li-Jen Wang
Summary Embedded Deep Learning Object Detection Model Competition. MMSP (2019)