Hyun-Myung Woo

According to our database, Hyun-Myung Woo authored at least 8 papers between 2018 and 2023.

Collaborative distances:

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

2023

Optimal decision-making in high-throughput virtual screening pipelines.

Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon

Patterns, November, 2023

Neural message-passing for objective-based uncertainty quantification and optimal experimental design.

Qihua Chen, Xuejin Chen, Hyun-Myung Woo, Byung-Jun Yoon

Eng. Appl. Artif. Intell., 2023

2021

Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning.

Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon

IEEE Trans. Signal Process., 2021

MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes.

Hyun-Myung Woo, Byung-Jun Yoon

Bioinform., 2021

AI-Enabled High-Throughput Wireless Telemetry for Effective Photodynamic Therapy.

Woo Seok Kim, Hyun-Myung Woo, M. Ibrahim Khot, Sungcheol Hong, David G. Jayne, Byung-Jun Yoon, Sung Il Park

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Network-Based RNA Structural Alignment Through Optimal Local Neighborhood Matching.

Hyun-Myung Woo, Byung-Jun Yoon

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Machine Learning Enabled Adaptive Wireless Power Transmission System for Neuroscience Study.

Hyun-Myung Woo, Woo Seok Kim, Sungcheol Hong, Vivekanand Jeevakumar, Clay M. Smithhart, Theodore J. Price, Byung-Jun Yoon, Sung Il Park

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2018

Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms.

Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018