Incorporating global search capability of a genetic algorithm into neural computing to model seismic records and soil test data. - Tienfuan Kerh; Yu-Hsiang Su; Ayman Mosallam (Neural Comput. Appl., 2017)

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study. - Sheng-Feng Sung; Kuanchin Chen; Darren Philbert Wu; Ling-Chien Hung; Yu-Hsiang Su; Ya-Han Hu (Int. J. Medical Informatics, 2018)

Formation-containment tracking and scaling for multiple quadcopters with an application to choke-point navigation. - Yu-Hsiang Su; Alexander Lanzon (ICRA, 2022)

Cooperative Control of Multi-Agent Negative Imaginary Systems with Applications to UAVs, Including Hardware Implementation Results. - Yu-Hsiang Su; Parijat Bhowmick; Alexander Lanzon (ECC, 2023)

A Negative Imaginary Theory-Based Time-Varying Group Formation Tracking Scheme for Multi-Robot Systems: Applications to Quadcopters. - Yu-Hsiang Su; Parijat Bhowmick; Alexander Lanzon (ICRA, 2023)

Output-feedback-based affine formation manoeuvre control of multi-agent systems applying negative imaginary systems theory. - Yu-Hsiang Su; Parijat Bhowmick; Alexander Lanzon (CDC, 2024)

A Negative Imaginary Solution to an Aircraft Platooning Problem. - Yu-Hsiang Su; Parijat Bhowmick; Alexander Lanzon (ECC, 2024)

Movement Disorder Evaluation of Parkinson's Disease Severity Based on Deep Neural Network Models. - Yung-Chu Hsu; Yu-Hsiang Su; Bo-Ren Cheng; Sheng-Feng Sung; Jia-Xin Liu; Hsiu-Chun Hsu; Pao-Ann Hsiung (IEEE Access, 2024)

A Fixed-Time Formation-Containment Control Scheme for Multi-Agent Systems With Motion Planning: Applications to Quadcopter UAVs. - Yu-Hsiang Su; Parijat Bhowmick; Alexander Lanzon (IEEE Trans. Veh. Technol., 2024)