Hongfeng Yu - RankMe

113 papers A 12B 22C 8Misc 1Journal 34Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding. IEEE Trans. Vis. Comput. Graph. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2026	J	`jnl`	Make the Fastest Faster: Importance Mask Synthesis for Interactive Volume Visualization Using Reconstruction Neural Networks. IEEE Trans. Vis. Comput. Graph. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2026	J	`jnl`	SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents. CoRR Kuangshi Ai, Haichao Miao, Kaiyuan Tang, Nathaniel Gorski, Jianxin Sun, Guoxi Liu, Helgi I. Ingólfsson, David Lenz, Hanqi Guo, Hongfeng Yu, Teja Leburu, Michael Molash, Bei Wang, Tom Peterka, Chaoli Wang, Shusen Liu
2025	B	`conf`	Can Language Models Enable in-Context Database? IEEE Big Data Yu Pan, Hongfeng Yu, Tianjiao Zhao, Jianxin Sun
2025	J	`jnl`	F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2025	J	`jnl`	Make the Fastest Faster: Importance Mask for Interactive Volume Visualization using Reconstruction Neural Networks. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2025	B	`conf`	PanicleVis: A Multidimensional and Multilevel Graph-Based Visualization System for Spatiotemporal Panicle Phenotyping Data. IEEE Big Data Xinyan Xie, Jianxin Sun, Warren Z. Huang, Harkamal Walia, Hongfeng Yu
2025	J	`jnl`	RmdnCache: Dual-Space Prefetching Neural Network for Large-Scale Volume Visualization. IEEE Trans. Vis. Comput. Graph. Jianxin Sun, Xinyan Xie, Hongfeng Yu
2025	B	`conf`	TP-Bundle: Interactive Hierarchical Edge Bundling for Large Graphs with Transformer-Based Prefetching. IEEE Big Data Xinyan Xie, Jianxin Sun, Claire X. Shen, Hongfeng Yu
2025	B	`conf`	Toward Cost-Efficient Metadata Curation in Agricultural Genomics with LLMs. IEEE Big Data Yi Liu, Matthew L. Spangler, Jennifer Clarke, Hongfeng Yu
2024	—	`conf`	Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. LDAV Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	J	`jnl`	Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	B	`conf`	Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. IEEE Big Data Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada
2024	J	`jnl`	Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. CoRR Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada
2024	J	`jnl`	Can Language Models Enable In-Context Database? CoRR Yu Pan, Hongfeng Yu, Tianjiao Zhao, Jianxin Sun
2024	—	`conf`	IEEE LDAV 2024 Preface. LDAV Johanna Beyer, Steffen Frey, Guido Reina, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Nicole Marsaglia, Peer-Timo Bremer, Kenneth Moreland, Kristi Potter, Julien Tierny, Chaoli Wang, Hongfeng Yu
2024	J	`jnl`	MFA-DVR: direct volume rendering of MFA models. J. Vis. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2024	J	`jnl`	Transforming Agriculture with Intelligent Data Management and Insights. CoRR Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada
2023	J	`jnl`	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 Yu Shi, Hannah Tang, Michael Baine, Michael A. Hollingsworth, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu
2023	B	`conf`	Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling. IEEE Big Data Jieting Wu, Jianxin Sun, Xinyan Xie, Tian Gao, Yu Pan, Hongfeng Yu
2023	B	`conf`	Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement. IEEE Big Data Sujan Shrestha, Jianxin Sun, Katja Koehler-Cole, Andrea Basche, Hongfeng Yu
2023	B	`conf`	LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing. IEEE Big Data Yu Pan, Jianxin Sun, Hongfeng Yu
2023	J	`jnl`	Leaf-Counting in Monocot Plants Using Deep Regression Models. Sensors Xinyan Xie, Yufeng Ge, Harkamal Walia, Jinliang Yang, Hongfeng Yu
2023	B	`conf`	Quantitatively Evaluating the Validity of Contrastive Generators for Recourse. IEEE Big Data Ian Howell, Eleanor Quint, Hongfeng Yu
2023	B	`conf`	Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. IEEE Big Data Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2023	J	`jnl`	Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2023	B	`conf`	Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation. IEEE Big Data Yu Shi, Hannah Tang, Jianxin Sun, Xinyan Xie, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu
2023	B	`conf`	Transforming Agriculture with Intelligent Data Management and Insights. IEEE Big Data Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada
2023	B	`conf`	Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering. IEEE Big Data Jianxin Sun, Xinyan Xie, Yu Pan, Yakub Islamov, Yufeng Ge, Hongfeng Yu
2022	J	`jnl`	MFA-DVR: Direct Volume Rendering of MFA Models. CoRR Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
2021	—	`conf`	Assessing Deep Neural Networks as Probability Estimators. IEEE BigData Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu
2021	J	`jnl`	Assessing Deep Neural Networks as Probability Estimators. CoRR Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu
2021	J	`jnl`	HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds. Sensors Tian Gao, Anil Kumar Nalini Chandran, Puneet Paul, Harkamal Walia, Hongfeng Yu
2021	J	`jnl`	Interactive Visualization of Hyperspectral Images Based on Neural Networks. IEEE Computer Graphics and Applications Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu
2021	J	`jnl`	Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants. Remote. Sens. Tian Gao, Feiyu Zhu, Puneet Paul, Jaspreet Sandhu, Henry Akrofi Doku, Jianxin Sun, Yu Pan, Paul Staswick, Harkamal Walia, Hongfeng Yu
2021	—	`conf`	OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds. WiNTECH Mohammad M. R. Lunar, Jianxin Sun, John Wensowitch, Michael Fay, Halit Bugra Tulay, Venkat Sai Suman Lamba Karanam, Brian Qiu, Deepak Nadig, Garhan Attebury, Hongfeng Yu, Joseph Camp, Can Emre Koksal, Dario Pompili, Byrav Ramamurthy, Morteza Hashemi, Eylem Ekici, Mehmet C. Vuran
2020	—	`conf`	A Distributed Algorithm for Force Directed Edge Bundling. LDAV Yves Tuyishime, Yu Pan, Hongfeng Yu
2020	J	`jnl`	A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler
2020	A	`conf`	Visualizations to Summarize Search Behavior. CP Ian Howell, Berthe Y. Choueiry, Hongfeng Yu
2019	—	`conf`	A Scientific Data Representation Through Particle Flow Based Linear Interpolation. BigDataService Yu Pan, Feiyu Zhu, Hongfeng Yu
2019	—	`conf`	Adaptive Deep Learning based Time-Varying Volume Compression. IEEE BigData Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu
2019	—	`conf`	Effectively Unified optimization for Large-scale Graph Community Detection. IEEE BigData Jianping Zeng, Hongfeng Yu
2019	—	`conf`	Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning. IEEE BigData Wei Zhou, K. Preston White, Hongfeng Yu
2019	B	`conf`	Exploring Eye Tracking Data on Source Code via Dual Space Analysis. VISSOFT Li Zhang, Jianxin Sun, Cole S. Peterson, Bonita Sharif, Hongfeng Yu
2019	B	`conf`	Improving Short Job Latency Performance in Hybrid Job Schedulers with Dice. ICPP Wei Zhou, K. Preston White, Hongfeng Yu
2019	—	`conf`	Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. IEEE BigData Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu
2019	C	`conf`	Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. IGARSS Kwo-Sen Kuo, Hongfeng Yu, Yu Pan, Michael L. Rilee
2019	—	`conf`	Plant Event Detection from Time-Varying Point Clouds. IEEE BigData Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu
2019	—	`conf`	Prediction Approach for Ising Model Estimation. ICDM Workshops Jinyu Li, Yu Pan, Hongfeng Yu, Qi Zhang
2019	—	`conf`	Spatial-Temporal Scientific Data Clustering via Deep Convolutional Neural Network. IEEE BigData Jianxin Sun, Chunxia Wu, Yufeng Ge, Yusong Li, Hongfeng Yu
2018	—	`conf`	3D Reconstruction of Plant Leaves for High-Throughput Phenotyping. IEEE BigData Feiyu Zhu, Suresh Thapa, Tiao Gao, Yufeng Ge, Harkamal Walia, Hongfeng Yu
2018	C	`conf`	A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. IGARSS Kwo-Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu
2018	B	`conf`	A Distributed Infomap Algorithm for Scalable and High-Quality Community Detection. ICPP Jianping Zeng, Hongfeng Yu
2018	J	`jnl`	A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum. Sensors Suresh Thapa, Feiyu Zhu, Harkamal Walia, Hongfeng Yu, Yufeng Ge
2018	C	`conf`	A Scalable Distributed Louvain Algorithm for Large-Scale Graph Community Detection. CLUSTER Jianping Zeng, Hongfeng Yu
2018	J	`jnl`	An Information-Theoretic Framework for Evaluating Edge Bundling Visualization. Entropy Jieting Wu, Feiyu Zhu, Xin Liu, Hongfeng Yu
2018	B	`conf`	Eunomia: a Performance-Variation-Aware Fair Job Scheduler with Placement Constraints for Heterogeneous Datacenters. ICPADS Wei Zhou, K. Preston White, Hongfeng Yu
2017	—	`conf`	An Application-Aware Data Replacement Policy for Interactive Large-Scale Scientific Visualization. IPDPS Workshops Lina Yu, Hongfeng Yu, Hong Jiang, Jun Wang
2017	—	`conf`	Boundary-structure-aware transfer functions for volume classification. SIGGRAPH Asia Symposium on Visualization Lina Yu, Hongfeng Yu
2017	A	`conf`	MLSEB: Edge Bundling Using Moving Least Squares Approximation. GD Jieting Wu, Jianping Zeng, Feiyu Zhu, Hongfeng Yu
2017	J	`jnl`	MLSEB: Edge Bundling using Moving Least Squares Approximation. CoRR Jieting Wu, Jianping Zeng, Feiyu Zhu, Hongfeng Yu
2017	—	`conf`	Visual analytics with unparalleled variety scaling for big earth data. IEEE BigData Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu
2017	—	`conf`	iVAR: Interactive visual analytics of radiomics features from large-scale medical images. IEEE BigData Lina Yu, Hengle Jiang, Hongfeng Yu, Chi Zhang, Josiah Mcallister, Dandan Zheng
2016	—	`conf`	A geohydrologie data visualization framework with an extendable user interface design. IEEE BigData Yanfu Zhou, Jieting Wu, Lina Yu, Hongfeng Yu, Zhenghong Tang
2016	J	`jnl`	A study of graph partitioning schemes for parallel graph community detection. Parallel Comput. Jianping Zeng, Hongfeng Yu
2016	—	`conf`	A study of scientific visualization on heterogeneous processors using Legion. LDAV Lina Yu, Hongfeng Yu
2016	—	`conf`	Addressing the big-earth-data variety challenge with the hierarchical triangular mesh. IEEE BigData Michael L. Rilee, Kwo-Sen Kuo, Thomas L. Clune, Amidu Oloso, Paul G. Brown, Hongfeng Yu
2016	—	`conf`	Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. IEEE BigData Khoa D. Doan, Amidu O. Oloso, Kwo-Sen Kuo, Thomas L. Clune, Hongfeng Yu, Brian Nelson, Jian Zhang
2016	C	`conf`	Feature extraction and tracking for large-scale geospatial data. IGARSS Lina Yu, Feiyu Zhu, Hongfeng Yu, Jun Wang, Kwo-Sen Kuo
2016	—	`conf`	Implementing connected component labeling as a user defined operator for SciDB. IEEE BigData Amidu Oloso, Kwo-Sen Kuo, Thomas L. Clune, Paul Brown, Alex Poliakov, Hongfeng Yu
2016	C	`conf`	Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. IGARSS Kwo-Sen Kuo, Amidu Oloso, Khoa D. Doan, Thomas L. Clune, Hongfeng Yu
2016	—	`conf`	In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. ESPM2@SC Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar
2016	—	`conf`	Legion-based scientific data analytics on heterogeneous processors. IEEE BigData Lina Yu, Hongfeng Yu
2016	Misc	`conf`	Tweether: A Visualization Tool Displaying Correlation of Weather to Tweets. Visualization and Data Analysis Shruti Daggumati, Igor Soares, Jieting Wu, David Cao, Hongfeng Yu, Jun Wang
2015	A	`conf`	Adaptive data placement for staging-based coupled scientific workflows. SC Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar
2015	C	`conf`	Parallel Modularity-Based Community Detection on Large-Scale Graphs. CLUSTER Jianping Zeng, Hongfeng Yu
2015	J	`jnl`	Scalable Parallel Distance Field Construction for Large-Scale Applications. IEEE Trans. Vis. Comput. Graph. Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Hemanth Kolla, Jacqueline H. Chen
2015	—	`conf`	Texture-based edge bundling: A web-based approach for interactively visualizing large graphs. IEEE BigData Jieting Wu, Lina Yu, Hongfeng Yu
2014	—	`conf`	CommGram: a new visual analytics tool for large communication trace data. VPA@SC Jieting Wu, Jianping Zeng, Hongfeng Yu, Joseph P. Kenny
2014	J	`jnl`	Trajectory-Based Flow Feature Tracking in Joint Particle/Volume Datasets. IEEE Trans. Vis. Comput. Graph. Franz Sauer, Hongfeng Yu, Kwan-Liu Ma
2014	—	`conf`	Visualizing large 3D geodesic grid data with massively distributed GPUs. LDAV Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma
2013	—	`conf`	An analytical framework for particle and volume data of large-scale combustion simulations. UltraVis@SC Franz Sauer, Hongfeng Yu, Kwan-Liu Ma
2013	A	`conf`	FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics. IPDPS Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu
2013	A	`conf`	GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution. SC Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky
2013	J	`jnl`	Interactive Ray Casting of Geodesic Grids. Comput. Graph. Forum Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma
2013	—	`ed.`	Proceedings of the 8th International Workshop on Ultrascale Visualization, UltraVis 2013, Denver, Colorado, USA, November 17-21, 2013 UltraVis@SC Kwan-Liu Ma, Venkatram Vishwanath, Hongfeng Yu
2013	—	`conf`	Scalable Parallel Feature Extraction and Tracking for Large Time-varying 3D Volume Data. EGPGV@Eurographics Yang Wang, Hongfeng Yu, Kwan-Liu Ma
2013	A	`conf`	Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows. SC Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi
2012	C	`conf`	A Job Scheduling Design for Visualization Services Using GPU Clusters. CLUSTER Wei-Hsien Hsu, Chun-Fu Wang, Kwan-Liu Ma, Hongfeng Yu, Jacqueline H. Chen
2012	A	`conf`	Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen
2012	J	`jnl`	Hierarchical Streamline Bundles. IEEE Trans. Vis. Comput. Graph. Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen
2012	—	`ch.`	In Situ Processing. High Performance Visualization Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy S. Meredith, Jean M. Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang
2012	J	`jnl`	Visual Analysis of Particle Behaviors to Understand Combustion Simulations. IEEE Computer Graphics and Applications Jishang Wei, Hongfeng Yu, Ray W. Grout, Jacqueline Chen, Kwan-Liu Ma
2011	—	`conf`	A Preview and Exploratory Technique for Large-Scale Scientific Simulations. EGPGV@Eurographics Anna Tikhonova, Hongfeng Yu, Carlos D. Correa, Jacqueline H. Chen, Kwan-Liu Ma
2011	J	`jnl`	An Illustrative Visualization Framework for 3D Vector Fields. Comput. Graph. Forum Cheng-Kai Chen, Shi Yan, Hongfeng Yu, Nelson Max, Kwan-Liu Ma
2011	B	`conf`	Analyzing information transfer in time-varying multivariate data. PacificVis Chaoli Wang, Hongfeng Yu, Ray W. Grout, Kwan-Liu Ma, Jacqueline H. Chen
2011	B	`conf`	Dual space analysis of turbulent combustion particle data. PacificVis Jishang Wei, Hongfeng Yu, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma
2011	—	`conf`	Parallel clustering for visualizing large scientific line data. LDAV Jishang Wei, Hongfeng Yu, Kwan-Liu Ma, Jackie H. Chen
2010	B	`conf`	A sketch-based interface for classifying and visualizing vector fields. PacificVis Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2010	J	`jnl`	Application-Driven Compression for Visualizing Large-Scale Time-Varying Data. IEEE Computer Graphics and Applications Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2010	J	`jnl`	In Situ Visualization for Large-Scale Combustion Simulations. IEEE Computer Graphics and Applications Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma
2009	B	`conf`	End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P. ICPP Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma, Robert Latham
2008	J	`jnl`	Importance-Driven Time-Varying Data Visualization. IEEE Trans. Vis. Comput. Graph. Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma
2008	A	`conf`	Massively parallel volume rendering using 2-3 swap image compositing. SC Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma
2008	—	`conf`	Parallel Volume Rendering on the IBM Blue Gene/P. EGPGV@Eurographics Tom Peterka, Hongfeng Yu, Robert B. Ross, Kwan-Liu Ma
2007	—	`conf`	Automatic Feature Modeling Techniques for Volume Segmentation Applications. VG@Eurographics Runzhen Huang, Hongfeng Yu, Kwan-Liu Ma, Oliver G. Staadt
2007	A	`conf`	Parallel hierarchical visualization of large time-varying 3D vector fields. SC Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma
2006	A	`conf`	Analytics challenge - Remote runtime steering of integrated terascale simulation and visualization. SC Tiankai Tu, Hongfeng Yu, Jacobo Bielak, Omar Ghattas, Julio C. López, Kwan-Liu Ma, David R. O'Hallaron, Leonardo Ramírez-Guzmán, Nathan Stone, Ricardo Taborda-Rios, John Urbanic
2006	A	`conf`	Scalable systems software - From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing. SC Tiankai Tu, Hongfeng Yu, Leonardo Ramírez-Guzmán, Jacobo Bielak, Omar Ghattas, Kwan-Liu Ma, David R. O'Hallaron
2006	B	`conf`	Structure-accentuating Dense Flow Visualization. EuroVis Sung W. Park, Hongfeng Yu, Ingrid Hotz, Oliver Kreylos, Lars Linsen, Bernd Hamann
2005	J	`jnl`	A study of I/O methods for parallel visualization of large-scale data. Parallel Comput. Hongfeng Yu, Kwan-Liu Ma
2004	A	`conf`	A Parallel Visualization Pipeline for Terascale Earthquake Simulations. SC Hongfeng Yu, Kwan-Liu Ma, Joel Welling
2004	C	`conf`	I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data. EGPGV Hongfeng Yu, Kwan-Liu Ma, Joel Welling