Hongfeng Yu

Orcid: 0000-0002-0596-8227

Affiliations:
  • University of Nebraska-Lincoln, Lincoln, NE, USA
  • University of California, Davis, CA, USA (PhD)


According to our database1, Hongfeng Yu authored at least 92 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
MFA-DVR: direct volume rendering of MFA models.
J. Vis., February, 2024

Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation.
CoRR, 2024

2023
Leaf-Counting in Monocot Plants Using Deep Regression Models.
Sensors, February, 2023

3DGAUnet: 3D generative adversarial networks with a 3D U-Net based generator to achieve the accurate and effective synthesis of clinical tumor image data for pancreatic cancer.
CoRR, 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

Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation.
Proceedings of the IEEE International Conference on Big Data, 2023

Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement.
Proceedings of the IEEE International Conference on Big Data, 2023

Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation.
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

Quantitatively Evaluating the Validity of Contrastive Generators for Recourse.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.
Sensors, 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

OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds.
Proceedings of the WiNTECH'21: Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, 2021

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

2020
A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

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

Visualizations to Summarize Search Behavior.
Proceedings of the Principles and Practice of Constraint Programming, 2020

2019
Exploring Eye Tracking Data on Source Code via Dual Space Analysis.
Proceedings of the 2019 Working Conference on Software Visualization, 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

Improving Short Job Latency Performance in Hybrid Job Schedulers with Dice.
Proceedings of the 48th International Conference on Parallel Processing, 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

Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Effectively Unified optimization for Large-scale Graph Community Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Spatial-Temporal Scientific Data Clustering via Deep Convolutional Neural Network.
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 Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum.
Sensors, 2018

An Information-Theoretic Framework for Evaluating Edge Bundling Visualization.
Entropy, 2018

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

A Distributed Infomap Algorithm for Scalable and High-Quality Community Detection.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Eunomia: a Performance-Variation-Aware Fair Job Scheduler with Placement Constraints for Heterogeneous Datacenters.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

A Scalable Distributed Louvain Algorithm for Large-Scale Graph Community Detection.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

3D Reconstruction of Plant Leaves for High-Throughput Phenotyping.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Boundary-structure-aware transfer functions for volume classification.
Proceedings of the SIGGRAPH ASIA 2017, Bangkok, Thailand, November 27 - 30, 2017, 2017

An Application-Aware Data Replacement Policy for Interactive Large-Scale Scientific Visualization.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

MLSEB: Edge Bundling Using Moving Least Squares Approximation.
Proceedings of the Graph Drawing and Network Visualization - 25th International Symposium, 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

iVAR: Interactive visual analytics of radiomics features from large-scale medical images.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A study of graph partitioning schemes for parallel graph community detection.
Parallel Comput., 2016

Tweether: A Visualization Tool Displaying Correlation of Weather to Tweets.
Proceedings of the Visualization and Data Analysis 2016, 2016

In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows.
Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

A study of scientific visualization on heterogeneous processors using Legion.
Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

Feature extraction and tracking for large-scale geospatial data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A geohydrologie data visualization framework with an extendable user interface design.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Legion-based scientific data analytics on heterogeneous processors.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Addressing the big-earth-data variety challenge with the hierarchical triangular mesh.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Implementing connected component labeling as a user defined operator for SciDB.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Evaluating the impact of data placement to spark and SciDB with an Earth Science use case.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Scalable Parallel Distance Field Construction for Large-Scale Applications.
IEEE Trans. Vis. Comput. Graph., 2015

Adaptive data placement for staging-based coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2015

Parallel Modularity-Based Community Detection on Large-Scale Graphs.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Texture-based edge bundling: A web-based approach for interactively visualizing large graphs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Trajectory-Based Flow Feature Tracking in Joint Particle/Volume Datasets.
IEEE Trans. Vis. Comput. Graph., 2014

CommGram: a new visual analytics tool for large communication trace data.
Proceedings of the First Workshop on Visual Performance Analysis, 2014

Visualizing large 3D geodesic grid data with massively distributed GPUs.
Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

2013
Interactive Ray Casting of Geodesic Grids.
Comput. Graph. Forum, 2013

GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution.
Proceedings of the International Conference for High Performance Computing, 2013

An analytical framework for particle and volume data of large-scale combustion simulations.
Proceedings of the 8th International Workshop on Ultrascale Visualization, 2013

Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2013

FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Scalable Parallel Feature Extraction and Tracking for Large Time-varying 3D Volume Data.
Proceedings of the 13th Eurographics Symposium on Parallel Graphics and Visualization, 2013

2012
Hierarchical Streamline Bundles.
IEEE Trans. Vis. Comput. Graph., 2012

Visual Analysis of Particle Behaviors to Understand Combustion Simulations.
IEEE Computer Graphics and Applications, 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

A Job Scheduling Design for Visualization Services Using GPU Clusters.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012


2011
An Illustrative Visualization Framework for 3D Vector Fields.
Comput. Graph. Forum, 2011

Parallel clustering for visualizing large scientific line data.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

A Preview and Exploratory Technique for Large-Scale Scientific Simulations.
Proceedings of the 11th Eurographics Symposium on Parallel Graphics and Visualization, 2011

Dual space analysis of turbulent combustion particle data.
Proceedings of the IEEE Pacific Visualization Symposium, 2011

Analyzing information transfer in time-varying multivariate data.
Proceedings of the IEEE Pacific Visualization Symposium, 2011

2010
In Situ Visualization for Large-Scale Combustion Simulations.
IEEE Computer Graphics and Applications, 2010

Application-Driven Compression for Visualizing Large-Scale Time-Varying Data.
IEEE Computer Graphics and Applications, 2010

A sketch-based interface for classifying and visualizing vector fields.
Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2010, 2010

2009
End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P.
Proceedings of the ICPP 2009, 2009

2008
Importance-Driven Time-Varying Data Visualization.
IEEE Trans. Vis. Comput. Graph., 2008

Massively parallel volume rendering using 2-3 swap image compositing.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

Parallel Volume Rendering on the IBM Blue Gene/P.
Proceedings of the 8th Eurographics Symposium on Parallel Graphics and Visualization, 2008

2007
Automatic Feature Modeling Techniques for Volume Segmentation Applications.
Proceedings of the 6th Eurographics / IEEE VGTC International Symposium on Volume Graphics, 2007

Parallel hierarchical visualization of large time-varying 3D vector fields.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

2006
Structure-accentuating Dense Flow Visualization.
Proceedings of the 8th Joint Eurographics - IEEE VGTC Symposium on Visualization, 2006

Scalable systems software - From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Analytics challenge - Remote runtime steering of integrated terascale simulation and visualization.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

2005
A study of I/O methods for parallel visualization of large-scale data.
Parallel Comput., 2005

2004
A Parallel Visualization Pipeline for Terascale Earthquake Simulations.
Proceedings of the ACM/IEEE SC2004 Conference on High Performance Networking and Computing, 2004

I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data.
Proceedings of the 5th Eurographics/ACM SIGGRAPH Symposium on Parallel Graphics and Visualization, 2004


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