Yu Sun

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High Impact

Assistant Professor

University of Central Arkansas

Also affiliated: University of California, Riverside (2009–2012); Macau University of Science and Technology (2021); Agency for Science, Technology and Research (2010); California Institute of Technology (2024); Guangdong University of Technology (2021); North China University of Technology (2010); Nanjing Normal University (2025); Sun Yat-sen University (2009); Chinese University of Hong Kong (2014); Guizhou University (2023); China Mobile (China) (2010–2024); University of Toronto (2024); Wayne State University (2012); The University of Texas at Arlington (2004–2005); Chinese Academy of Sciences (2014); Peking University (2025); Washington University in St. Louis (2015–2023); Harbin Institute of Technology (2025); University of Missouri–St. Louis (2021); University of Utah (2006); Sir Run Run Shaw Hospital (2023); Robotics Research (United States) (2025); Neijiang Normal University (2024); Institute of Materials Research and Engineering (2010); Hangzhou Seventh Peoples Hospital (2023); Conway School of Landscape Design (2004–2021); Heilongjiang Institute of Technology (2025); Hubei Normal University (2024–2025); First Affiliated Hospital Zhejiang University (2023–2024); Huazhong University of Science and Technology (2025); Saudi Aramco (United States) (2019); Zhejiang University (2009–2025); California State Polytechnic University (2021–2024)

22 h-index 109 pubs 3,795 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Yu Sun's research focuses on the application of deep learning and neural network techniques to image reconstruction and processing, particularly in medical imaging. Sun has investigated methods for image restoration, utilizing deep image priors and plug-and-play algorithms to improve image quality. This work includes developing techniques for reconstructing complex imaging data, such as 3D refractive index maps from limited measurements and efficiently inverting multiple scattering phenomena.

Sun's publications demonstrate a progression of work in this area, with recent contributions exploring coordinate-based internal learning for tomographic imaging and the recovery of continuous refractive index maps using neural fields. These efforts are supported by a strong publication record and a high h-index of 22, reflecting significant contributions to the field. Sun is also noted as a highly cited researcher and maintains an active lab website.

Metrics

h-index: 22
Publications: 109
Citations: 3,795

Positions

Assistant Professor 2024–present

Johns Hopkins University Department of Electrical and Computer Engineering ORCID
Assistant Professor publications 2004–2025

University of Central Arkansas ORCID
Postdoctoral Scholar 2022–2024

California Institute of Technology Computing and Mathematical Science ORCID
Ph.D 2018–2022

Washington University in St. Louis Computer Science and Engineering ORCID

Selected Publications

LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression (2026)

DOI OpenAlex
LDG-PCGC: Lossless Dynamically Grouped Point Cloud Geometry Compression (2026)

OpenAlex
A Multi-Layer End-to-End 360 Image Compression (2025)

DOI OpenAlex
Channel and space-based joint rate allocation algorithm (2025)

DOI OpenAlex
Fast CU Partition Algorithm For 360-Degree Videos on VVC (2025)

DOI OpenAlex
A Novel Mode Selection-Based Fast Intra Prediction Algorithm for Spatial SHVC (2023)

3 citations DOI OpenAlex
A Probability-Based Zero-Block Early Termination Algorithm for QSHVC (2023)

IEEE Transactions on Broadcasting 4 citations DOI OpenAlex
Hybrid Strategies for Efficient Intra Prediction in Spatial SHVC (2022)

IEEE Transactions on Broadcasting 8 citations DOI OpenAlex