Yiheng Xie

Papers

Total Citations

452

H-Index

About

Yiheng Xie is a researcher at the forefront of neural fields and coordinate-based neural representations, a rapidly evolving area at the intersection of machine learning and visual computing. His most influential contribution is the comprehensive survey "Neural Fields in Visual Computing and Beyond," which has garnered over 450 citations since its publication and has become an essential reference for researchers entering the field. This work systematically defines and categorizes neural fields — coordinate-based neural networks that parameterize physical properties of scenes and objects across space and time — providing the community with a unified framework to understand methods such as NeRF and related approaches. By consolidating advances spanning 3D reconstruction, novel view synthesis, physics simulation, and beyond, Xie and his collaborators effectively mapped the landscape of an emerging paradigm that is reshaping how machines perceive and represent the visual world. The rapid citation growth of this survey, from early preprint to widely adopted reference, reflects both the timeliness of the work and its lasting value as a foundational resource for students, engineers, and researchers building the next generation of neural scene representations.