Yu Pan

Affiliations:
  • University of Nebraska-Lincoln, Department of Biological System Engineering, Lincoln, NE, USA
  • Illinois Institute of Technology, Chicago, IL, USA (former)


According to our database1, Yu Pan authored at least 17 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling.
Proceedings of the IEEE International Conference on Big Data, 2023

Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering.
Proceedings of the IEEE International Conference on Big Data, 2023

Transforming Agriculture with Intelligent Data Management and Insights.
Proceedings of the IEEE International Conference on Big Data, 2023

LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants.
Remote. Sens., 2021

Interactive Visualization of Hyperspectral Images Based on Neural Networks.
IEEE Computer Graphics and Applications, 2021

Assessing Deep Neural Networks as Probability Estimators.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A Distributed Algorithm for Force Directed Edge Bundling.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

2019
Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Prediction Approach for Ising Model Estimation.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Scientific Data Representation Through Particle Flow Based Linear Interpolation.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Adaptive Deep Learning based Time-Varying Volume Compression.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Plant Event Detection from Time-Varying Point Clouds.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Visual analytics with unparalleled variety scaling for big earth data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
SigPID: significant permission identification for android malware detection.
Proceedings of the 11th International Conference on Malicious and Unwanted Software, 2016


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