Hsin‐Te Wu

National Ilan University, National Taitung University

Papers

Total Citations

H-Index

About

Hsin‑Te Wu’s research sits at the intersection of agricultural technology, trustworthy artificial intelligence, and assistive robotics. In his 2020 work, he pioneered the use of Long Short‑Term Memory (LSTM) networks to build outdoor agricultural machinery, addressing the dual pressures of climate‑induced yield declines and the conversion of farmland to non‑agricultural uses. This paper has garnered 8 citations and highlights his commitment to applying deep learning for real‑world agricultural resilience. More recently, Wu has advanced the field of consumer‑facing robotics by integrating large language models within a trustworthy AI framework. His 2025 paper, with 4 citations, tackles the critical challenge of adapting standardized robots to the unique lifestyles of elderly users in aging societies—a problem that traditionally required costly, engineer‑led parameter tuning. By embedding ethical and reliable AI into household robots, Wu’s work promises to make assistive technology more accessible and responsive. His contributions are especially notable for bridging cutting‑edge AI with pressing societal needs, from food security to elder care, marking him as a researcher who translates complex algorithms into tangible, human‑centered solutions.