Hui Ying Li

Papers

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About

Hui Ying Li is a researcher whose work bridges computer vision and behavioral biology, with a primary focus on developing innovative tracking methodologies for aquatic organisms. Her most cited paper, "Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking" (2018), has garnered 23 citations, establishing her as a key contributor to non-invasive, high-precision animal behavior analysis. Li’s major contribution lies in creating robust algorithms that reconstruct complex 3D movement patterns from standard video footage, enabling researchers to study social interactions, schooling dynamics, and environmental responses in fish without intrusive tagging. This work has practical implications for ecology, neuroscience, and aquaculture, offering a scalable tool for real-time behavioral monitoring. Beyond this flagship study, Li’s research extends to multi-object tracking and automated recognition systems, demonstrating her versatility in applying computational techniques to biological challenges. Her achievements highlight a commitment to open-source, reproducible science, making advanced tracking accessible to laboratories with limited resources. For students and researchers, Li’s work exemplifies how interdisciplinary approaches—merging computer science with ethology—can unlock new dimensions in understanding animal behavior, while her citation impact underscores the growing demand for such non-invasive analytical tools in the life sciences.