Publication

This page lists my represented publication and projects. The complete publication list can be seen in my CV, DBLP, or Google Scholar. Besides, several useful links are provided too.
My publication mainly covers the following topics 1) Time-varying data visualization, 2) Flow visualization, 3) Information theory in visualization, which is extended to 4) The efficient computation of histograms for visualization, and 5) High performance computation for visualization.

Referred Publications

2013


 
Fast histogram computation
HPC
T.-Y. Lee and H.-W. Shen
Efficient Local Statistical Analysis via Integral Histograms with Discrete Wavelet Transform
IEEE Transactions on Visualization and Computer Graphics, 19(12):2693-2701, Dec., 2013
(Special Issue for IEEE SciVis '13, acceptance rate: 31/126 = 24%).
preprint, video, slides, code


Tim-varying data visualization
Visual analytics
T.-Y. Lee, X. Tong, H.-W. Shen, P. C. Wong, S. Hagos, and L. Leung,
Feature Tracking and Visualization of Madden-Julian Oscillation in Climate Simulation.
IEEE Computer Graphics and Applications (Theme Issue on Big Data Visualization), 33(4): 29-37, 2013.
doi, video, demo

Information theory for visualization
Volume rendering
T.-H. Wei, T.-Y. Lee, and H.-W. Shen.
Evaluating Isosurfaces with Level-set-based Information Maps.
Computer Graphics Forum, 30(3):1-10, 2013
(Special Issue for EuroVis 2013, acceptance rate: 49/177 = 28%).
preprint, slides

  Flow visualization
K. Lu, A. Chaudhuri, T.-Y. Lee, H.-W. Shen, and P. C. Wong,
Exploring Vector Fields with Distribution-based Streamline Analysis.
In PacificVis '13: IEEE Pacific Visualization Symposium, Sydney, Australia, 2013
(Acceptance rate: 34/118 = 29%).
preprint

2012

   
  Flow visualization
HPC


 
B. Nouanesengsy, T.-Y. Lee, K. Lu, H.-W. Shen, and T. Peterka.
Parallel Particle Advection and FTLE Computation for Time-Varying Flow Fields.
In SC ‘12: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis. Salt Lake City, UT, Nov., 2012.
(Acceptance rate: 100/472 = 21%)
pdf

  Flow visualization
HPC

C.-M. Chen, B. Nouanesengsy, T.-Y. Lee, and H.-W. Shen.

Flow-guided File Layout for Out-of-core Pathline Computation.

In LDAV ‘12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 109 - 112, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%. Nominated for Best Paper.)
pdf



Tim-varying data visualization

X. Tong, T.-Y. Lee, and H.-W. Shen,

Salient Time Steps Selection from Large Scale Time-Varying Data Sets with Dynamic Time Warping.

In LDAV ‘12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 49 - 56, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%).
pdf

  Fast histogram computation
HPC

A. Chaudhuri, T.-Y. Lee, B. Zhou, C. Wang, T. Xu, H.-W. Shen, T. Peterka and Y.-J. Chiang,

Scalable Computation of Distributions from Large Scale Data Sets.

In LDAV ‘12: IEEE Symposium on Large-Scale Data Analysis and Visualization, pp. 113 - 120, Seattle, WA, Oct., 2012
(Acceptance rate: 18/34 = 53%).
pdf

Flow visualization
HPC 
C.-M. Chen, L. Xu, T.-Y. Lee, and  H.-W. Shen.
Flow-Guided File Layout for Out-Of-Core Streamline Computation.
In  PacificVis '12: Proceedings of the IEEE Pacific Visualization Symposium, pp. 145 - 152, Songdo, Korea, March, 2012.
(Acceptance rate: 30/89 = 33.7%).
pdf

2011

   
Flow visualization
HPC
B. Nouanesengsy, T.-Y. Lee, and H.-W. Shen.
Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields
.
IEEE Transactions on Visualization and Computer Graphics, 17(12):1785-1794, 2011
(Special Issue for IEEE Visualization 2011, acceptance rate: 49/194 = 25%).
pdf

  Flow visualization
Information theory for visualization

T.-Y. Lee, O. Mishchenko, H.-W. Shen, and R. Crawfis,
View Point Evaluation and Streamline Filtering for Flow Visualization.
In PacificVis '11: Proceedings of the IEEE Pacific Visualization Symposium, pp. 83 - 90, Hong Kong, March, 2011
(Acceptance rate: 27/81 = 33%).
pdf, slides, video 1, video 2, video 3 

2010

   






Flow visualization
Information theory for visualization
 
L. Xu, T.-Y. Lee, and H.-W. Shen,
An Information-Theoretic Framework for Flow Visualization.
IEEE Transactions on Visualization and Computer Graphics
, 16(6):1216-1224, Nov.-Dec., 2010
(Special Issue for IEEE Visualization 2010, acceptance rate: 45/185 = 26%).
pdf, slides


 
Tim-varying data visualization;
Visual analytics
T.-Y. Lee, A. Chaudhuri, F. Porikli,and H.-W. Shen,
CycleStack: Inferring Periodic Behavior via Temporal Sequence Visualization in Ultrasound Video
.
In PacificVis '10: Proceedings of the IEEE Pacific Visualization Symposium, pp. 89-96, Taipei, Taiwan, March, 2010 
(Acceptance rate: 27/84 = 32%).
pdf, slides, video

2009

   
 
Tim-varying data visualization
Visual analytics
T.-Y. Lee, and H.-W. Shen,
Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data
.
IEEE Transactions on Visualization and Computer Graphics
, 15(6):1359–1366, 2009
(Special Issue for IEEE Visualization 2009, acceptance rate: 54/202 = 27%).
pdf, slides


 
Tim-varying data visualization T.-Y. Lee, and H.-W. Shen,
Visualizing Time-Varying Features with TAC-based Distance Fields.
In PacificVis '09: Proceedings of the IEEE Pacific Visualization Symposium, pp. 1-8, Beijin, China, April, 2009
(Acceptance rate: 26/66 = 40%).
pdf, slides

2006

   

Volume rendering
N. Shareef, T.-Y. Lee, H.-W. Shen, and K. Mueller.
An Image-based Modelling Approach to GPU-based Rendering of Unstructured Grids.
In VG '06: Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2006, pp. 31-38, Boston, MA, July, 2006
(Acceptance rate: 13/38 = 34%).
pdf

Additional Publications

Journals/Conferences

  1. T. Peterka, R. Ross, W. Kendall, A. Gyulassy, V. Pascucci, H.-W. Shen, T.-Y. Lee, and A. Chaudhuri, Scalable Parallel Building Blocks for Custom Data Analysis. In LDAV '11: Proceedings of the IEEE Symposium on Large Dava Analysis and Visualization 2011, pp. 105-112, Providence, Rhode Island, October 2011 (Acceptance rate: 25/37=66%, slides).
  2. H.-W. Shen, T.-Y. Lee, A. Chaudhuri, and B. Nouanesengsey, Visual Analytics for Enabling Extreme Scale Scientific Discovery. In SciDAC 2011, Denver, Colorado, July, 2011 (pdf).
  3. T. Peterka, R. Ross, B. Nouanesengsey, T.-Y. Lee, H.-W. Shen, W. Kendall, and J. Huang, A Study of Parallel Particle Tracing for Steady-State and Time-Varying Flow Fields. In IPDPS '11: Proceedings of the IEEE International Parallel & Distributed Processing Symposium 2011, pp. 580-591, Anchorage, Alaska, May, 2011. (Acceptance rate: 112/571 = 20%, pdf).

Technical Reports/Pattens

  1. A. Chaudhuri, T.-Y. Lee, H.-W. Shen, M. khoury and R. Wenger. Exploring Flow Fields Using Fractal Analysis of Field Lines. OSU-CISRC-4/11-TR15.
  2. F. Porikli, and T.-Y. Lee, Enhanced Visualizations for Ultrasound Videos. United States Patent Application 20100246914, September, 2010 (link).
  3. T.-Y. Lee and H.-W. Shen, Visualizing Time-Varying Features with TAC-based Distance Fields. OSU-CISRC-10/08-TR53 (pdf).

Presentations/Posters

  1. A. Chaudhuri, T.-Y. Lee, H.-W. Shen, M. khoury and R. Wenger. Exploring Flow Fields Using Fractal Analysis of Field Lines. In VisWeek '12: IEEE Visualization, Seattle, WA, Oct 2012 (Best Poster).
  2. K. Lu, A. Chaudhuri, T.-Y. Lee, A. G. Suttmiller, H.-W. Shen, and P. C. Wong, Exploring Vector Fields with Distribution-based Streamline Analysis. In VisWeek '12: IEEE Visualization, Seattle, WA, 2012.
  3. X. Liu, T.-Y. Lee, and H.-W. Shen, Interactive Word Cloud Rendering with Semantic Zooming. In VisWeek '12: IEEE Information Visualization, Seattle, WA, 2012.
  4. Exploring Large Scale Scientific Data  Using Information Theory (Authors: A. Chaudhuri, T.-Y. Lee, H.-W. Shen, T. Peterka, C. Wang, T. Xu, B. Zhou, and Y.-J. Chiang). In CoDA '12: Conference on Data Analysis 2012, Santa Fe, New Mexico, Feb., 2012.

  5. C.-M. Chen, L. Xu, T.-Y. Lee, and H.-W. Shen, A Flow Guided File Layout for Out-Of-Core Streamline Computation. In LDAV '11: IEEE Symposium on Large Dava Analysis and Visualization 2011 Poster Session, Providence, Rhode Island, October 2011.
  6. Information Theory for Visualization and Data Analysis. In CScADS Summer 2011 Workshop 2: Scientific Data and Analytics for Extreme Scale Computing, Tahoe, CA, Jul., 2011 (slides).
  7. Visualizing Time-Varying Features with TAC-based Distance Fields. In Grad Research Poster Exhibit, Department of Computer Science & Engineering, The Ohio State University, Apr., 2009.
  8. Visualizing Time-Varying Features with TAC-based Distance Fields. In Demonstrations at Ohio State University in IEEE VisWeek 2008, Columbus, OH, Oct. 22, 2008.
  9. Y. Tu, and T.-Y. Lee, Visual Discovery of Box Office and Oscars in Movie Data. In IEEE InfoVis 2007 Contest (pdf).

Past Project Pages

SDMAV (Google sites): This is the webpage for the DoE-funded project Information-theoretic Framework for Visualization. The members are from The Computer Science and Engineering Department of The Ohio State University, The Mathematics and Computer Science Division of Argonne National Laboratory, and The Computer Science and Engineering Department of Polytechnic Institute of New York University. This websites will include related techniques, progress, and discussion for this project.



Graph Analysis for Flow Fields@OSU (Google sites): This is one interesting project I am working on, whose goal is to analyze flow fields via graph modeling. (Courtesy: Lijie Xu and Han-Wei Shen. Flow web: A graph based user interface for 3d flow field exploration. In Proceedings of IS&T/SPIE Visualization and Data, Jan. 2010. (pdf))




SWOT (the newer version): a web-based interface for the SWOT project funded by NASA in order to sample all water bodies on the earth. For this project, the Gravity group and the researcher in the Climate Water Carbon program in OSU were working on this web-based prototype for the general public to access the huge amount of sampled data. CSE department and the CWC@OSU.  The blog for this project is located as Blue Marble Mapper (wordexpress).
(Courtney: ABON CHAUDHURI, Ju-Yu Huang and Teng-Yok Lee). 



GTCVis (blogspot): This was what I did in summer 2009, which is to visualize the simulation in GTC (Gyrokinetic Toroidal code).





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CV.pdf
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Teng-Yok Lee,
Nov 15, 2014, 4:04 PM
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