Wenjia Ouyang

University of Dayton, Harbin Engineering University, Chinese Academy of Sciences

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Total Citations

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About

Dr. Wenjia Ouyang is a pioneering researcher at the intersection of neural engineering, computer vision, and robotic manipulation. Her work spans three transformative domains: brain-machine interfaces (BMI), underwater autonomous systems, and tactile-driven robotics. In her foundational 2013 paper, Dr. Ouyang demonstrated how electroencephalograph (EEG) signals could be classified to control a robotic arm in real time—a landmark contribution that has garnered 14 citations and laid critical groundwork for non-invasive neural prosthetics. She later advanced computer vision with YOLOX-DC (2022), a specialized one-stage detection network optimized for underwater environments, achieving high-speed, high-accuracy small-target recognition that enables underwater robots to perform complex tasks autonomously. Most recently, her 2025 work, TempTrans-MIL, introduces a generalizable framework for processing high-dimensional multimodal tactile time-series data, dramatically improving classification in tactile-driven robotic manipulation. With over 24 combined citations across her most influential publications, Dr. Ouyang’s research consistently bridges theoretical innovation with practical deployment—from neural control to deep-sea exploration and dexterous robotic touch. Her trajectory exemplifies how interdisciplinary engineering can unlock new frontiers in human-robot interaction and autonomous systems.