Hongfeng Yu | University of Nebraska-Lincoln

	2024

	Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka. Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), October, 2024. DOI:10.1109/LDAV64567.2024.00006 [PAPER]

	RmdnCache: Dual-Space Prefetching Neural Network for Large-Scale Volume Visualization Jianxin Sun, Xianyan Xie, Hongfeng Yu. IEEE Transactions on Visualization and Computer Graphics. DOI:10.1109/TVCG.2024.3410091 [PAPER] \| [Video]

	radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer Dandan Zheng, Paul M. Grandgenett, Qi Zhang, Michael Baine, Yu Shi , Qian Du, Xiaoying Liang, Jeffrey Wong, Subhan Iqbal, Kiersten Preuss, Ahsan Kamal, Hongfeng Yu, Huijing Du, Michael A. Hollingsworth, Chi Zhang Scientific Reports. DOI:10.1038/s41598-024-62741-5 [PAPER]

	2023

	Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka. Proceedings of 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023. DOI:10.1109/BigData59044.2023.10386434 [PAPER]

	Quantitatively Evaluating the Validity of Contrastive Generators for Recourse Ian Howell, Eleanor Quint, Hongfeng Yu. Proceedings of 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023. DOI:10.1109/BigData59044.2023.10386609 [PAPER]

	LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing Yu Pan, Jianxin Sun, Hongfeng Yu. Proceedings of 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023. DOI:10.1109/BigData59044.2023.10386517 [PAPER]

	Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling Jieting Wu, Jianxin Sun, Xinyan Xie, Tian Gao, Yu Pan, Hongfeng Yu. Proceedings of 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023. DOI:10.1109/BigData59044.2023.10386295 [PAPER]

	MFA-DVR: direct volume rendering of MFA models Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka. Journal of Visualization (2023) Oct 10:1-8. DOI:https://doi.org/10.1007/s12650-023-00946-y [PAPER] \| [Video]

	Application of machine learning in groundwater quality modeling-A comprehensive review Ryan Haggerty, Jianxin Sun, Hongfeng Yu, Yusong Li. Water Research (2023): 119745. DOI:https://doi.org/10.1016/j.watres.2023.119745 [PAPER]

	2022

	A non-destructive approach for measuring rice panicle-level photosynthetic responses using 3D-image reconstruction aspinder Singh Dharni, Balpreet Kaur Dhatt, Puneet Paul, Tian Gao, Tala Awada, Harel Bacher, Zvi Peleg, Paul Staswick, Jason Hupp, Hongfeng Yu, Harkamal Walia. Plant Methods 18, no. 1 (2022): 126. https://doi.org/10.1186/s13007-022-00959-y [PAPER]

	Rice Chalky Grain 5 regulates natural variation for grain quality under heat stress Anil Kumar Nalini Chandran, Jaspreet Sandhu, Larissa Irvin, Puneet Paul, Balpreet K. Dhatt, Waseem Hussain, Tian Gao, Paul Staswick, Hongfeng Yu, Gota Morota, Harkamal Walia. Frontiers in Plant Science 13 (2022): 1026472. DOI:https://doi.org/10.3389/fpls.2022.1026472 [PAPER]

	Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications Kiersten Preuss, Nate Thach, Xiaoying Liang, Michael Baine, Justin Chen, Chi Zhang, Huijing Du, Hongfeng Yu, Chi Lin, Michael A Hollingsworth, Dandan Zheng. Cancers 14, no. 7 (2022): 1654. DOI:https://doi.org/10.3390/cancers14071654 [PAPER]

	OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds Mohammad M. R. Lunar, Jianxin Sun, John Wensowitch, Michael Fay, Halit Bugra Tulay, Sai Suman, Brian Qiu, Deepak Nadig, Garhan Attebury, Hongfeng Yu, Joseph Camp, Can Emre Koksal, Dario Pompili, Byrav Ramamurthy, Morteza Hashemi, Eylem Ekici, Mehmet C. Vuran. Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH'21), January, 2022, Pages 85-92. DOI: https://doi.org/10.1145/3477086.3480835 [PAPER]

	2021

	Assessing Deep Neural Networks as Probability Estimators Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu. Proceedings of 2021 IEEE International Conference on Big Data (Big Data), December 15-18, 2021. DOI:10.1109/BigData52589.2021.9671328 [PAPER]

	Interactive Visualization of Hyperspectral Images based on Neural Networks Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu. IEEE Computer Graphics and Applications, vol. 41, no. 5, pp. 57-66, 1 Sept.-Oct. 2021. DOI: 10.1109/MCG.2021.3097730 [PAPER][VIDEO]

	Wild emmer introgression alters root-to-shoot growth dynamics in durum wheat in response to water stress Harel Bacher, Feiyu Zhu, Tian Gao, Kan Liu, Balpreet K. Dhatt, Tala Awada, Chi Zhang, Assaf Distelfeld, Hongfeng Yu, Zvi Peleg, Harkamal Walia. Plant Physiology, 2021, kiab292. DOI: https://doi.org/10.1093/plphys/kiab292 [PAPER]

	PhenoImage: An open-source graphical user interface for plant image analysis Feiyu Zhu, Manny Saluja, Jaspinder Singh Dharni, Puneet Paul, Scott E. Sattler, Paul Staswick, Harkamal Walia, Hongfeng Yu. The Plant Phenome Journal (2021), 4:e20015. DOI: https://doi.org/10.1002/ppj2.20015 [PAPER]

	Loss of COMT activity reduces lateral root formation and alters the response to water limitation in sorghum brown midrib (bmr) 12 mutant Manny Saluja, Feiyu Zhu, Hongfeng Yu, Harkamal Walia, Scott E Sattler. New Physiologist (2021) 229: 2780-2794. DOI: https://doi.org/10.1111/nph.17051 [PAPER]

	SeedExtractor: An Open-Source GUI for Seed Image Analysis Feiyu Zhu, Puneet Paul, Waseem Hussain, Kyle Wallman, Balpreet K. Dhatt, Jaspreet Sandhu, Larissa Irvin, Gota Morota, Hongfeng Yu, Harkamal Walia. Frontiers in Plant Science, vol 11 (2021): 2227. DOI: https://doi.org/10.3389/fpls.2020.581546 [PAPER]

	Allelic variation in rice Fertilization Independent Endosperm 1 contributes to grain width under high night temperature stress Balpreet K. Dhatt, Puneet Paul, Jaspreet Sandhu, Waseem Hussain, Larissa Irvin, Feiyu Zhu, Maria Arlene Adviento-Borbe, Argelia Lorence, Paul Staswick, Hongfeng Yu, Gota Morota, Harkamal Walia. New Phytologist (2021) 229: 335-350. DOI: https://doi.org/10.1111/nph.16897 [PAPER]

	2020

	Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model Babak Samani, Saeideh Samani, Haishun Yang, Hongfeng Yu. Proceedings of 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, December 10-13, 2020. DOI: 10.1109/BigData50022.2020.9378105 [PAPER]

	A Terminology for In Situ Visualization and Analysis Systems Hank Childs, Sean D. Ahern, James 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 Insley, Chris R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy Meredith, Kenneth Moreland, Paul Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel 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. The International Journal of High Performance Computing Applications (2020), volume 34, issue 6, 676-691. DOI: https://doi.org/10.1177/1094342020935991 [PAPER]

	A Distributed Algorithm for Force Directed Edge Bundling Yves Tuyishime, Yu Pan, Hongfeng Yu. Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), October, 2020. DOI: 10.1109/LDAV51489.2020.00013 [PAPER]

	Visualizations to Summarize Search Behavior Ian Howell, Berthe Choueiry, Hongfeng Yu. Principles and Practice of Constraint Programming. CP 2020. Lecture Notes in Computer Science, vol 12333. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-58475-7_23 [PAPER]

	2019

	PI-Plat: a high-resolution image-based 3D reconstruction method to estimate growth dynamics of rice inflorescence traits Jaspreet Sandhu, Feiyu Zhu, Puneet Paul, Tian Gao, Balpreet K. Dhatt, Yufeng Ge, Paul Staswick, Hongfeng Yu, Harkamal Walia. Plant Methods 15, 162, 2019. DOI: https://doi.org/10.1186/s13007-019-0545-2 [PAPER]

	Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning Wei Zhou, K. Preston White, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9006575 [PAPER]

	Effectively Unified optimization for Large-scale Graph Community Detection Jianping Zeng, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9005481 [PAPER]

	Adaptive Deep Learning based Time-Varying Volume Compression Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9006146 [PAPER]

	Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9006003 [PAPER]

	Plant Event Detection from Time-Varying Point Clouds Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9006497 [PAPER]

	Spatial-Temporal Scientific Data Clustering via Deep Convolutional Neural Network Jianxin Sun, Chunxia Wu, Yufeng Ge, Yusong Li, Hongfeng Yu. Proceedings of 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, December 9-12, 2019. DOI: 10.1109/BigData47090.2019.9006507 [PAPER]

	Prediction Approach for Ising Model Estimation Jinyu Li, Yu Pan, Hongfeng Yu, Qi Zhang. Proceedings of 2019 International Conference on Data Mining Workshops (ICDMW), Beijing, China, November 8-11, 2019. DOI: 10.1109/ICDMW.2019.00106 [PAPER]

	Exploring Eye Tracking Data on Source Code via Dual Space Analysis Li Zhang, Jianxin Sun, Cole Peterson, Bonita Sharif, Hongfeng Yu. Proceedings of 2019 Working Conference on Software Visualization (VISSOFT), Cleveland, OH, September 30-October 1, 2019. DOI: 10.1109/VISSOFT.2019.00016 [PAPER]

	Improving Short Job Latency Performance in Hybrid Job Schedulers with Dice Wei Zhou, K. Preston White, Hongfeng Yu. Proceedings of the 48th International Conference on Parallel Processing (ICPP), Kyoto, Japan, August 5-8, 2019. DOI: 10.1145/3337821.3337851 [PAPER]

	Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI Kwo-Sen Kuo, Hongfeng Yu, Yu Pan, Michael L Rilee. Proceedings of 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, July 28-August 2, 2019. DOI: 10.1109/IGARSS.2019.8900423 [PAPER]

	Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction Qian Du, Michael Baine, Kyle Bavitz, Josiah McAllister, Xiaoying Liang,Hongfeng Yu, Jeffrey Ryckman, Lina Yu, Hengle Jiang, Sumin Zhou, Chi Zhang, DandanZheng PloS One, vol. 14(5):e0216480. May 7, 2019. DOI: 10.1371/journal.pone.0216480 [PAPER]

	A Scientific Data Representation Through Particle Flow Based Linear Interpolation Yu Pan, Feiyu Zhu, Hongfeng Yu. Proceedings of 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), San Francisco, CA, April 4-9, 2019. DOI: 10.1109/BigDataService.2019.00010 [PAPER]

	2018

	3D Reconstruction of Plant Leaves for High-Throughput Phenotyping Feiyu Zhu, Suresh Thapa, Tian Gao, Yufeng Ge, Harkamal Walia, Hongfeng Yu. Proceedings of 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, December 10-13, 2018. DOI: 10.1109/BigData.2018.8622428 [PAPER]

	Eunomia: A Performance-Variation-Aware Fair Job Scheduler With Placement Constraints For Heterogeneous Datacenters Wei Zhou, K. Preston White, Hongfeng Yu. Proceedings of 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), Singapore, Singapore, 2018, pp. 1034-1039. DOI: 10.1109/PADSW.2018.8645046. [PAPER]

	An Integrated Network of Scientific Information & GeoHydrologic Tools: Automatic User Interface Generation for Visualizing Big Geoscience Data Jin Wang, Jieting Wu, Yanfu Zhou, Hongfeng Yu, Zhenghong Tang. 2018 National Institutes for Water Resources Regional Symposium "Water Resources of the U.S. Great Plains Region: Status and Future" Poster, Lincoln, Nebraska, October 24-26, 2018.

	A Scalable Distributed Louvain Algorithm for Large-scale Graph Community Detection Jianping Zeng, Hongfeng Yu. Proceedings of IEEE Cluster (CLUSTER), Belfask, UK, September 10-13, 2018. DOI: 10.1109/CLUSTER.2018.00044 [PAPER]

	An Information-Theoretic Framework for Evaluating Edge Bundling Visualization Jieting Wu, Feiyu Zhu, Xin Liu, Hongfeng Yu. Entropy, 20(9), 625, 2018. DOI: 10.3390/e20090625 [PAPER]

	A Distributed Infomap Algorithm for Scalable and High-Quality Community Detection Jianping Zeng, Hongfeng Yu. Proceedings of the 47th International Conference on Parallel Processing (ICPP), Eugene, OR, USA, August 13-16, 2018. DOI:10.1145/3225058.3225137 [PAPER]

	A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization Kwo-Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L Rilee, Hongfeng Yu. Proceedings of 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, SPAIN, July 22-27, 2018. DOI: 10.1109/IGARSS.2018.8518304 [PAPER]

	A Qualitative Analysis of Search Behavior: A Visual Approach Ian Howell, Robert Woodward, Berthe Choueiry, Hongfeng Yu. IJCAI/ECAI 2018 Workshop on Explainable Artificial Intelligence (XAI), July 2018. [PAPER]

	Scalable, Interactive Big-Earth-Data Visualization and Analysis for Diverse Observation and Simulation Data Kwo-Sen Kuo, Hongfeng Yu. NSF EarthCube All Hands Meeting Poster, Washington, DC, June 2018.

	A Unified Computation and Storage Framework for Interactive Large-scale Geophysical Analytics Yu Pan, Jin Wang, Michael L. Rilee, Lina Yu, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu. NSF EarthCube All Hands Meeting Poster, Washington, DC, June 2018.

	A Distributed Analytics Framework for Large-scale Heterogeneous Geoscience Data Kwo-Sen Kuo, Michael L Rilee, Lina Yu, Yu Pan, Feiyu Zhu, Hongfeng Yu. Proceedings of 2018 Conference on Adding Value and Preserving Data (PV2018), Harwell, UK, May 15-17, 2018 ISSN-1362-0231

	Interactive Visualization and Analysis for Large Time-varying Multivariate Earth Science Data Jin Wang, Yu Pan, Michael Rilee, Lina Yu, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu. 2018 Conference on Adding Value and Preserving Data (PV2018) Poster, Harwell, UK, May 15-17, 2018

	A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum Suresh Thapa, Feiyu Zhu, Harkamal Walia, Hongfeng Yu, Yufeng Ge. Sensors, 18(4), 1187, 2018 DOI:10.3390/s18041187 [PAPER]

	Exploiting Transparent Multimodal Parallelization for High-Performance Big Data Analytics and Machine Learning Kwo-Sen Kuo, Hongfeng Yu, Michael Rilee, Yu Pan, and Feiyu Zhu. 2018 European Geosciences Union General Assembly Presentation, Vienna, Austria, April 8-13, 2018.

	2017

	Visual Analytics with Unparalleled Variety Scaling for Big Earth Data Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu. Proceedings of 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, December, 2017, pp. 514-521. DOI: 10.1109/BigData.2017.8257966 [PAPER]

	iVAR: Interactive Visual Analytics of Radiomics Features from Large-Scale Medical Images Lina Yu, Hengle Jiang, Hongfeng Yu, Chi Zhang, Josiah Mcallister, Dandan Zheng. Proceedings of 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, December, 2017, pp. 3916-3923. DOI: 10.1109/BigData.2017.8258398 [PAPER]

	Visual Analytics for Heterogeneous Geoscience Data Lina Yu, Feiyu Zhu, Michael Lee Rilee, Yu Pan, Kwo-Sen Kuo, Hongfeng Yu, Hengle Jiang. 2017 AGU Fall Meeting Presentation, New Orleans, LA, December 11-15, 2017.

	Enabling High-performance Interactive Geoscience Data Analysis through Data Placement and Movement Optimization Kwo-Sen Kuo, Hongfeng Yu, Lina Yu, Feiyu Zhu, Yu Pan, Hengle Jiang, Soni Yatheendradas. 2017 AGU Fall Meeting Poster, New Orleans, LA, December 11-15, 2017.

	Boundary-Structure-Aware Transfer Functions for Volume Classification Lina Yu, Hongfeng Yu. Proceedings of SIGGRAPH Asia 2017 Symposium on Visualization (SA), Bangkok, Thailand, November, 2017. DOI: 10.1145/3139295.3139306 [PAPER]

	MLSEB: Edge Bundling Using Moving Least Squares Approximation Jieting Wu, Jianping Zeng, Feiyu Zhu, Hongfeng Yu. Graph Drawing and Network Visualization. GD 2017. Lecture Notes in Computer Science, vol 10692. Springer, Cham. DOI: 10.1007/978-3-319-73915-1_30 [PAPER]

	Quest for Optimal Data Analysis Efficiency and Value Based on Insight Derived from Data Movement Traffic Patterns Hongfeng Yu, Kwo-Sen Kuo, Lina Yu, Feiyu Zhu, Yu Pan, Soni Yatheendradas NSF EarthCube All Hands Meeting Poster, Seattle, WA, June 2017.

	An Application-Aware Data Replacement Policy for Interactive Large-Scale Scientific Visualization Lina Yu, Hongfeng Yu, Hong Jiang, Jun Wang. Proceedings of 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Lake Buena Vista, FL, 2017, pp. 1216-1225. DOI: 10.1109/IPDPSW.2017.16 [PAPER]

	Addressing the Variety Challenge to Ease the Systemization of Machine Learning in Earth Science Kwo-Sen Kuo, Michael Rilee, Amidu Oloso, Khoa Doan, Thomas Clune, Hongfeng Yu. 15th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, Seattle, Washington, January 24, 2017.

	2016

	Evaluating the Impact of Data Placement to Spark and SciDB with an Earth Science Use Case Khoa Doan, Amidu Oloso, Kwo-Sen Kuo, Thomas Clune, Hongfeng Yu, Brian Nelson, Jian Zhang. Proceedings of 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, December, 2016, pp. 341-346. DOI: 10.1109/BigData.2016.7840621 [PAPER]

	Addressing the Big-Earth-Data Variety Challenge with the Hierarchical Triangular Mesh Michael Rilee, Kwo-Sen Kuo, Thomas Clune, Amidu Oloso, Paul Brown, Hongfeng Yu. Proceedings of 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, December, 2016, pp. 1006-1011. DOI: 10.1109/BigData.2016.7840700 [PAPER]

	Legion-Based Scientific Data Analytics on Heterogeneous Processors Lina Yu, Hongfeng Yu. Proceedings of 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, December, 2016, pp. 2305-2314. DOI: 10.1109/BigData.2016.7840863 [PAPER]

	A Geohydrologic Data Visualization Framework with an Extendable User Interface Design Yanfu Zhou, Jieting Wu, Lina Yu, Hongfeng Yu, Zhenghong Tang. Proceedings of 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, December, 2016, pp. 2322-2331. DOI: 10.1109/BigData.2016.7840865 [PAPER]

	Implementing Connected Component Labeling as a User Defined Operator for SciDB Amidu Oloso, Kwo-Sen Kuo, Thomas Clune, Paul Brown, Alex Poliakov, Hongfeng Yu. Proceedings of 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, December, 2016, pp. 2948-2952. DOI: 10.1109/BigData.2016.7840945 [PAPER]

	Visual Analytics for Heterogeneous Geoscience Data Lina Yu, Feiyu Zhu, Michael Lee Rilee, Yu Pan, Kwo-Sen Kuo, Hongfeng Yu, Hengle Jiang. 2017 AGU Fall Meeting Presentation, New Orleans, LA, December 11-15, 2017.

	Enabling High-performance Interactive Geoscience Data Analysis through Data Placement and Movement Optimization Kwo-Sen Kuo, Hongfeng Yu, Lina Yu, Feiyu Zhu, Yu Pan, Hengle Jiang, Soni Yatheendradas. 2017 AGU Fall Meeting Poster, New Orleans, LA, December 11-15, 2017.

	In-staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows (Best Paper Award) Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar. Proceedings of The Second International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), held in conjunction with SC16, Salt Lake City, Utah, November, 2016. DOI:10.1109/ESPM2.2016.12 [PAPER]

	A Study of Graph Partitioning Schemes for Parallel Graph Community Detection Jianping Zeng, Hongfeng Yu. Parallel Computing, vol.58, pp.131-139, October, 2016 DOI:10.1016/j.parco.2016.05.008 [PAPER]

	A Study of Scientific Visualization on Heterogeneous Processors Using Legion Lina Yu, Hongfeng Yu. Proceedings of 2016 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV), held in conjunction with IEEE VisWeek'16, October, 2016. (Peer Reviewed Poster Paper) DOI:10.1109/LDAV.2016.7874341 [VIDEO]

	Implications of Data Placement Strategy to Big Data Technologies Based on Shared-Nothing Architecture for Geosciences Kwo-Sen Kuo, Amidu Oloso, Khoa Doan, Thomas L. Clune, Hongfeng Yu. Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016, pp. 7605-7607. DOI: 10.1109/IGARSS.2016.7730983

	Feature Extraction and Tracking for Large-Scale Geospatial Data Lina Yu, Feiyu Zhu, Hongfeng Yu, Jun Wang, Kwo-Sen Kuo. Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016, pp. 1504-1507. DOI: 10.1109/IGARSS.2016.7729384

	Interactive Visual Geophysical Analysis in a Data-Intensive Environment Lina Yu, Feiyu Zhu, Hongfeng Yu, Soni Yatheendradas, Kwo-Sen Kuo NSF EarthCube All Hands Meeting Poster, Denver, CO, July 2016.

	Tweether: A Visualization Tool Displaying Correlation of Weather to Tweets Shruti Daggumati, Igor Soares, Jieting Wu, David Cao, Hongfeng Yu, Jun Wang. Proceedings of IS&T Conference on Visualization and Data Analysis (VDA), February, 2016. DOI: 10.2352/ISSN.2470-1173.2016.1.VDA-497 [PAPER] \| [VIDEO]

	Developing An Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management Zhenghong Tang, Yanfu Zhou, Hongfeng Yu, Yue Gu, Tiantian Liu. In Book: Seeing Cities Through Big Data - Research, Methods and Applications in Urban Informatics. Editors: Thakuriah, V., Tilahaun, N., Zellner, M., Published by Springer International Publishing AG, Cham. Switzerland, 2016. DOI: 10.1007/978-3-319-40902-3_4

	2015

	Adaptive Data Placement for Staging-Based Coupled Scientific Workflows Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2015. [PAPER]

	Scalable Parallel Distance Field Construction for Large-Scale Applications Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Hemanth Kolla, Jacqueline H. Chen. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol.21, no.10, pp.1187-1200, October 1 2015. [PAPER]

	Texture-Based Edge Bundling: A Web-Based Approach for Interactively Visualizing Large Graphs Jieting Wu, Lina Yu, Hongfeng Yu. Proceedings of IEEE International Conference on Big Data (Big Data), October, 2015. [PAPER]

	Texture-Based Edge Bundling for Graph Visualization Jieting Wu, Hongfeng Yu. IEEE VisWeek 2015 Posters, October, 2015.

	Parallel Modularity-based Community Detection on Large-scale Graphs (Best Paper Finalist) Jianping Zeng, Hongfeng Yu. Proceedings of IEEE Cluster (CLUSTER), September, 2015. [PAPER]

	Integrate Citizen Science and Environmental Big Datasets for Environmental Conservation: A Case Study for "Nebraska Wetland" Mobile Information Platform Yanfu Zhou, Zhenghong Tang, Hongfeng Yu. Proceedings of Association of American Geographers 2015 Annual Meeting, April, 2015.

	2014

	Direct Numerical Simulation of a Turbulent Lifted Flame: Stabilisation Mechanism Shahram Karami, Evatt Hawkes, Mohsen Talei, Hongfeng Yu. Proceedings of 19th Australasian Fluid Mechanics Conference, December, 2014. [PAPER]

	CommGram: A New Visual Analytics Tool for Large Communication Trace Data Jieting Wu, Jianping Zeng, Hongfeng Yu, Joseph P. Kenny. Proceedings of the Workshop on Visual Performance Analysis (VPA), held in conjunction with SC14, November, 2014. [PAPER]

	Improved Accuracy of Parallel Large-Scale Graph Clustering Jianping Zeng, Hongfeng Yu. Proceedings of the International Workshop on Big Data Analytics: Challenges and Opportunities (BDAC), held in conjunction with SC14, November, 2014.

	Trajectory-based Flow Feature Tracking in Joint Particle/Volume Datasets Franz Sauer, Hongfeng Yu, Kwan-Liu Ma. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 20, no. 12, pp. 2565--2574, November, 2014. [PAPER]

	Visualizing Large 3D Geodesic Grid Data with Massively Distributed GPUs Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma. Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), November, 2014. [PAPER]

	Developing an Interactive Mobile Information Platform To Integrate Environmental Big Data and Citizen Science In Urban Environmental Management Yanfu Zhou, Zhenghong Tang, Hongfeng Yu. Proceedings of The Big Data and Urban Informatics Workshop (BDUIC), August, 2014.

	2013

	GoldRush: Resource Efficient In Situ Scientific Data Analytics Using Fine-Grained Interference Aware Execution Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2013. [PAPER]

	Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2013. [PAPER]

	An Analytical Framework for Particle and Volume Data of Large-Scale Combustion Simulations Franz Sauer, Hongfeng Yu, Kwan-Liu Ma. Proceedings of the International Workshop on Ultrascale Visualization (Ultravis), November, 2013. [PAPER]

	Interactive Ray Casting of Geodesic Grids Jinrong Xie, Hongfeng Yu, Kwan-Liu Ma. Computer Graphics Forum (CGF), vol. 32, no. 3pt4, pp. 481-490, June, 2013. [PAPER]

	FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Mohammad Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu. Proceedings of IEEE International Parallel & Distributed Processing Symposium (IPDPS), May, 2013. [PAPER]

	Scalable Parallel Feature Extraction and Tracking for Large Time-varying 3D Volume Data Yang Wang, Hongfeng Yu, Kwan-Liu Ma. Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), pp. 17-24, May, 2013. [PAPER]

	Visualization for Reformulation Algorithm of Game of Set Keegan Lunn, Hongfeng Yu, Berthe Y. Choueiry. UNL Undergraduate Research Conference, Poster, April, 2013. [POSTER]

	2012

	Combining In-Situ and In-Transit Processing to Enable Extreme-Scale Scientific Analysis Janine C. Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe Pébay, David Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2012. [PAPER]

	In Situ Processing Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy Meredith, Jean Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang. In High Performance Visualization: Enabling Extreme-Scale Scientific Insight. CRC Press/Francis--Taylor Group, Boca Raton, FL, USA, 2012.

	Large-Scale Scientific Visualization Hongfeng Yu. Communications of the CCF, vol. 8, no. 9, pp. 29-36, September, 2012. (In Chinese)

	A Job Scheduling Design for Visualization Services using GPU Clusters Wei-Hsien Hsu, Chun-Fu Wang, Kwan-Liu Ma, Hongfeng Yu, Jacqueline H. Chen. Proceedings of IEEE Cluster (CLUSTER), September, 2012. [PAPER]

	Hierarchical Streamline Bundles Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen. IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 18, no. 8, pp. 1353-1367, August, 2012. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	Visual Analysis of Particle Behaviors to Understand Combustion Simulations Jishang Wei, Hongfeng Yu, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma. IEEE Computer Graphics and Applications (CG&A), vol. 32, no. 1, pp. 22-33, January/February, 2012. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	2011

	Parallel Clustering for Visualizing Large Scientific Line Data Jishang Wei, Hongfeng Yu, Kwan-Liu Ma, Jacqueline H. Chen. Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), October, 2011. [PAPER]

	An Illustrative Visualization Framework for 3D Vector Fields Cheng-Kai Chen, Shi Yan, Hongfeng Yu, Nelson Max, Kwan-Liu Ma. Computer Graphics Forum (CGF) (Also Proceedings of Pacific Graphics Conference, acceptance rate 16%), vol. 30, no. 7, pp. 1941-1951, September, 2011. [PAPER]

	A Preview and Exploratory Technique for Large-Scale Scientific Simulations Anna Tikhonova, Hongfeng Yu, Carlos D. Correa, Jacqueline H. Chen, Kwan-Liu Ma. Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), April, 2011. [PAPER]

	Analyzing Information Transfer in Time-Varying Multivariate Data Chaoli Wang, Hongfeng Yu, Ray W. Grout, Kwan-Liu Ma, Jacqueline H. Chen. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), March, 2011. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	Dual Space Analysis of Turbulent Combustion Particle Data Jishang Wei, Hongfeng Yu, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), March, 2011. [PAPER] \| [WMV(MediaPlayer)] \|[MOV(QuickTime)]

	2010

	Hierarchical Streamline Bundles for Visualizing 2D Flow Fields Hongfeng Yu, Chaoli Wang, Ching-Kuang Shene, Jacqueline H. Chen. IEEE VisWeek 2010 Posters, Salt Lake City, UT, October, 2010. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	In-Situ Visualization for Large-Scale Combustion Simulations Hongfeng Yu, Chaoli Wang, Ray W. Grout, Jacqueline H. Chen, Kwan-Liu Ma. IEEE Computer Graphics and Applications (CG&A), vol. 30, no. 3, pp. 45-57, May/June, 2010. [PAPER]

	A Sketch-Based Interface for Classifying and Visualizing Vector Fields Jishang Wei, Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma. Proceedings of IEEE Pacific Visualization Symposium (PacificVis), pp. 129-136, March, 2010. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	Application-Driven Compression for Visualizing Large-Scale Time-Varying Data Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma. IEEE Computer Graphics and Applications (CG&A), vol. 30, no. 1, pp. 59-69, January/February, 2010. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	2009

	A Parallel Framework for GPU-Enhanced Query and Analysis of Lagrangian Particle Data from Combustion Simulations Ray W. Grout, Hongfeng Yu, Jacqueline H. Chen. ACM/IEEE Supercomputing Conference (SC), Poster, November, 2009.

	End-to-End Study of Parallel Volume Rendering on the IBM Blue Gene/P Tom Peterka, Hongfeng Yu, Robert Ross, Kwan-Liu Ma, Rob Latham. Proceedings of the International Conference on Parallel Processing (ICPP), September, 2009. [PAPER]

	Parallel Visualization on Leadership Computing Resources Tom Peterka, Robert Ross, Han-Wei Shen, Kwan-Liu Ma, Wesley Kendall, Hongfeng Yu. Journal of Physics: DOE SciDAC 2009 Conference, June, 2009. [PAPER]

	Parallel Visualization on Leadership Computing Resources Tom Peterka, Rob Ross, Han-Wei Shen, Kwan-Liu Ma, Wesley Kendall, Hongfeng Yu. DOE SciDAC 2009 Poster, San Diego, CA, June, 2009. [PAPER]

	Next-Generation Visualization Technologies: Enabling Discoveries at Extreme Scale Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Kenneth Moreland, Jian Huang, Robert Ross. DOE SciDAC Review, 12:12-21, Spring, 2009. [PAPER]

	Autostereoscopic Display of Large-Scale Scientific Visualization Tom Peterka, Robert Ross, Hongfeng Yu, Kwan-Liu Ma, Robert Kooima, Javier Girado. Proceedings of IS&T / SPIE SD&A Conference, San Jose CA, January, 2009. [PAPER]

	2008

	Massively Parallel Volume Rendering Using 2-3 Swap Image Compositing Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2008. [PAPER]

	Assessing Improvements to the Parallel Volume Rendering Pipeline at Large Scale Tom Peterka, Robert Ross, Hongfeng Yu, Kwan-Liu Ma, Wesley Kendall, Jian Huang. Proceedings of the International Workshop on Ultrascale Visualization (Ultravis), Austin TX, November, 2008. [PAPER]

	Importance-Driven Time-Varying Data Visualization Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma. IEEE Transactions on Visualization and Computer Graphics (TVCG) (Also Proceedings of IEEE Visualization 2008 Conference), vol. 14, no. 6, pp. 1547-1554, October, 2008. [PAPER] \| [WMV(MediaPlayer)] \| [MOV(QuickTime)]

	Visualization and Parallel I/O at Extreme Scale Rob Ross, Tom Peterka, Han-Wei Shen, Yuan Hong, Kwan-Liu Ma, Hongfeng Yu, Kenneth Moreland. Journal of Physics: DOE SciDAC 2008 Conference, July 2008. [PAPER]

	Coupling Massively Parallel Volume Rendering with Autostereoscopic 3D Display Environments Tom Peterka, Robert Ross, Hongfeng Yu, Kwan-Liu Ma, Robert L. Kooima. The 1st International Workshop on Super Visualization (IWSV), June, 2008. [PAPER]

	Parallel Volume Rendering on the IBM Blue Gene/P Tom Peterka, Hongfeng Yu, Robert Ross, Kwan-Liu Ma. Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), April, 2008. [PAPER]

	2007

	Parallel Hierarchical Visualization of Large Time-Varying 3D Vector Fields Hongfeng Yu, Chaoli Wang, Kwan-Liu Ma. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2007, Reno, NV. [PAPER]

	Knowledge-Assisted Visualization of Turbulent Combustion Simulations Chaoli Wang, Hongfeng Yu, Kwan-Liu Ma. Workshop of Knowledge-assisted Visualization (in affiliation with IEEE Visualization 2007), October, 2007, Sacramento, CA. [PAPER]

	Automatic Feature Modeling Techniques for Volume Segmentation Applications Runzhen Huang, Hongfeng Yu, Kwan-Liu Ma, Oliver Staadt. Proceedings of IEEE/Eurographics International Symposium on Volume Graphics (VG), September, 2007, Prague, Czech Republic. [PAPER]

	In-Situ Processing and Visualization for Ultrascale Simulations Kwan-Liu Ma, Chaoli Wang, Hongfeng Yu, Anna Tikhonova. Journal of Physics: DOE SciDAC 2007 Conference, June 2007. [PAPER]

	2006

	Remote Runtime Steering of Integrated Terascale Simulation and Visualization.(HPC Analytics Challenge Winner) Hongfeng Yu, Tiankai Tu, Jacobo Bielak, Omar Ghattas, Julio C. López, Kwan-Liu Ma, David R. O'Hallaron, Leonardo Ramirez-Guzman, Nathan Stone, Ricardo Taborda-Rios, John Urbanic. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2006, Tampa, FL. [PAPER] \| [MOV(QuickTime)]

	From Mesh Generation to Scientific Visualization: An End-to-End Approach to Parallel Supercomputing.(Best Student Paper Finalist) Tiankai Tu, Hongfeng Yu, Leonardo Ramirez-Guzman, Jacobo Bielak, Omar Ghattas, Kwan-Liu Ma, David O'Hallaron. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2006, Tampa, FL. [PAPER]

	Structure-accentuating Dense Flow Visualization Sung W. Park, Hongfeng Yu, Ingrid Hotz, Oliver Kreylos, Lars Linsen, Bernd Hamann. Proceedings of Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis), 8-10 May 2006, Lisbon, Portugal. [PAPER]

	2005

	Scientific Discovery through Advanced Visualization Kwan-Liu Ma, Eric B. Lum, Hongfeng Yu, Hiroshi Akiba, Min-Yu Huang, Yue Wang, Greg Schussman. Journal of Physics: DOE SciDAC 2005 Conference, June 2005. [PAPER]

	Technical Illustration based on 3D CSG Models Weidong Geng, Lei Ding, Hongfeng Yu, Yunhe Pan. Journal of Zhejiang University (JZUS), vol. 6, no. 5, 2005. [PAPER]

	A Study of I/O Techniques for Parallel Visualization Hongfeng Yu and Kwan-Liu Ma. Journal of Parallel Computing (JPC), vol. 31, no. 2, 2005. [PAPER]

	2004

	A Parallel Visualization Pipeline for Terascale Earthquake Simulations Hongfeng Yu, Kwan-Liu Ma, Joel Welling. Proceedings of ACM/IEEE Supercomputing Conference (SC), November, 2004, Pittsburgh, PA. [PAPER]

	I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data Hongfeng Yu, Kwan-Liu Ma, Joel Welling. Proceedings of Eurographics Symposiumm Proceedings of Parallel Graphics and Visualization (EGPGV), June 10-11 2004, pp. 31-40. [PAPER]

	2003

	A Natural Language User Interface for Fuzzy Scope Queries Yan Huang, Hongfeng Yu, Weidong Geng, Yunhe Pan. Journal of Zhejiang University, 2003, Vol.4, No.2, pp152-161.

	2001

	Discussion on the Re-Development of EDA System Based on SKILL Hongfeng Yu, Yan Huang, Weidong Geng, Yunhe Pan. Chinese Journal of Application Research of Computes, Vol 18, No. 8. 2001, pp85-88. (In Chinese) Technical Illustration Based on Human-like Approach Weidong Geng, Monika Fleischmann, Hongfeng Yu, Yunhe Pan. Proceedings of Computer Graphics International Conference (CGI'2001), Published by IEEE Computer Society, Hongkong, July 3-6, 2001, pp343-346. Survey of Silhouette Detection Algorithms for Non-Photorealistic Rendering Hongfeng Yu, Yan Huang, Weidong Geng, Yunhe Pan. Proceedings of China Image and Graphics'2001, Published by China Engineering Graphics Society, May 2001, Ningbo, China, pp352-375. (In Chinese) Expressive Rendering Based on Interpretation of Spatial Features Hongfeng Yu, Weidong Geng, Yunhe Pan. Chinese Journal of CAD&CG, Vol 13, No.5, 2001, pp391-397. (In Chinese)