Yu Sun

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

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)

Faculty Researcher

22 h-index 109 pubs 3,772 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Yu Sun's research focuses on the application of advanced computational techniques, particularly deep learning and neural networks, to address complex problems in medical imaging and data analysis. Sun has co-authored publications on methods for improving tomographic imaging, such as the CoIL (Coordinate-Based Internal Learning) approach for enhanced reconstruction, and on recovering detailed refractive index maps from limited measurements using neural fields.

Further research interests include the development of efficient algorithms for image processing and machine learning models. This is evidenced by work on scalable Plug-and-Play algorithms for optimization problems, and the creation of efficient model-based deep learning frameworks like SGD-Net. Sun has also explored the use of neural networks in other domains, including path planning for robotic arms and stock price forecasting using LSTM-XGBoost models. Other publications highlight work in semi-supervised generative adversarial networks for image classification and video coding optimization.

Metrics

h-index: 22
Publications: 109
Citations: 3,772

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