Ted T. Kuo

According to our database, Ted T. Kuo authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Metric Learning-Based Incorrect Component Detection Framework.

Chia-Yu Lin, Yu-Chiao Kuo, Sheng-Che Lin, Ted T. Kuo

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Remind: Recall Enhanced Memory Integration for Natural Language Dialogue Systems.

Bo-Sheng Huang, Ted T. Kuo, Li-Jen Wang, Chia-Yu Lin

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024

A Cluster-based Privacy-Enhanced Hierarchical Federated Learning Framework with Secure Aggregation.

Chia-Yu Lin, Chih-Hung Han, Wei-Chih Yin, Ted T. Kuo

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Visualization-oriented Natural Language Interfaces for Grafana Dashboard.

Bo-Yao Tong, Ted T. Kuo, Chia-Yu Lin

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

An Implementation of Blockchain-based Federated Learning Framework.

Po-Hsuan Hung, Bing-Siang Wang, Yu-Wei Chang, Ted T. Kuo, Li-Jen Wang, Chia-Yu Lin

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

2023

Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Continual Learning with Out-of-Distribution Data Detection for Defect Classification.

Cheng-Hsueh Lin, Chia-Yu Lin, Li-Jen Wang, Ted T. Kuo

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

CHFDS: Clustered-based Hierarchical Federated Learning Framework with Differential Privacy and Secure Aggregation.

Chih-Hung Han, Wei-Chih Yin, Chia-Yu Lin, Ted T. Kuo

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Gated Tri-Tower Transformer (GT3) - An Inflated Power Generation Attack Detector for Microgrids.

Ting-Yu Syu, Ted T. Kuo, Chia-Yu Lin

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022

Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

2021

Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries.

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

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

The 2020 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries.

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

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

2019

Summary Embedded Deep Learning Object Detection Model Competition.

Jiun-In Guo, Chia-Chi Tsai, Yong-Hsiang Yang, Hung-Wei Lin, Bo-Xun Wu, Ted T. Kuo, Li-Jen Wang

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019