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ORCIDYu Pan 0007
Person information
- affiliation: University of Nebraska-Lincoln, Department of Biological System Engineering, Lincoln, NE, USA
- affiliation (former): Illinois Institute of Technology, Chicago, IL, USA
Other persons with the same name
- Yu Pan — disambiguation page
- Yu Pan 0001
![[0000-0001-6900-4016]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6900-4016")
— Zhejiang University, Institute of Cyber-Systems and Control, Hangzhou, China (and 1 more) - Yu Pan 0002 — Beihang University, School of Electronic and Information, Beijing, China
- Yu Pan 0003 — Air Force Engineering University, College of Information and Navigation, Xi'an, China
- Yu Pan 0004 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Yu Pan 0005 — Harbin Institute of Technology, Shenzhen, China (and 1 more)
- Yu Pan 0006 — Hebei University of Technology, School of Artificial Intelligence, Tianjin, China
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Journal Articles
- 2021
[j2]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Hyperspectral Images Based on Neural Networks. IEEE Computer Graphics and Applications 41(5): 57-66 (2021)- [j1]Tian Gao, Feiyu Zhu, Puneet Paul, Jaspreet Sandhu, Henry Akrofi Doku, Jianxin Sun, Yu Pan, Paul Staswick, Harkamal Walia, Hongfeng Yu:
Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants. Remote. Sens. 13(11): 2113 (2021)
Conference and Workshop Papers
- 2023
- [c15]Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada:
Transforming Agriculture with Intelligent Data Management and Insights. IEEE Big Data 2023: 3489-3498 - [c14]Jianxin Sun, Xinyan Xie, Yu Pan, Yakub Islamov, Yufeng Ge, Hongfeng Yu:
Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering. IEEE Big Data 2023: 3503-3509 - [c13]Yu Pan, Jianxin Sun, Hongfeng Yu:
LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing. IEEE Big Data 2023: 5987-5996 - [c12]Jieting Wu, Jianxin Sun, Xinyan Xie, Tian Gao, Yu Pan, Hongfeng Yu:
Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling. IEEE Big Data 2023: 6005-6014 - 2021
- [c11]Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. IEEE BigData 2021: 1083-1091 - 2020
- [c10]Yves Tuyishime, Yu Pan, Hongfeng Yu:
A Distributed Algorithm for Force Directed Edge Bundling. LDAV 2020: 53-54 - 2019
- [c9]Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu:
Adaptive Deep Learning based Time-Varying Volume Compression. IEEE BigData 2019: 1187-1194 - [c8]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. IEEE BigData 2019: 1274-1281 - [c7]Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu:
Plant Event Detection from Time-Varying Point Clouds. IEEE BigData 2019: 3321-3329 - [c6]Yu Pan, Feiyu Zhu, Hongfeng Yu:
A Scientific Data Representation Through Particle Flow Based Linear Interpolation. BigDataService 2019: 19-28 - [c5]Jinyu Li, Yu Pan, Hongfeng Yu, Qi Zhang:
Prediction Approach for Ising Model Estimation. ICDM Workshops 2019: 703-710 - [c4]Kwo-Sen Kuo, Hongfeng Yu, Yu Pan, Michael L. Rilee:
Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. IGARSS 2019: 10063-10066 - 2018
- [c3]Kwo-Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu:
A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. IGARSS 2018: 6532-6535 - 2017
- [c2]Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu:
Visual analytics with unparalleled variety scaling for big earth data. IEEE BigData 2017: 514-521 - 2016
- [c1]Lichao Sun, Zhiqiang Li, Qiben Yan, Witawas Srisa-an, Yu Pan:
SigPID: significant permission identification for android malware detection. MALWARE 2016: 59-66
Informal and Other Publications
- 2024
- [i2]Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada:
Transforming Agriculture with Intelligent Data Management and Insights. CoRR abs/2401.13672 (2024) - 2021
- [i1]Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. CoRR abs/2111.08239 (2021)
Coauthor Index
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