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) Scientific visualization, including volume rendering, flow visualization, and timevarying data visualization, 2) GPGPU and high performance computation for graphics/visualization, and 3) computer vision and machine learning. Referred Publications

2017  
Computer vision Machine learning  T.Y. Lee, S. Patil, S. Ramalingam, Y. Taguchi, and B. BEnes Barcode: Global Binary Patterns for Fast Visual Inference. In 3DV '17: International Conference on 3D Vision, 2017 (acceptance rate: 73/146 = 50%).  
Computer vision Machine learning  C. Feng, M.Y. Liu, C.C. Kao, and T.Y. Lee Deep Active Learning for Civil Infrastructure Defect Detection and Classification. In IWCCE '17: International Workshop on Computing for Civil Engineering, 2017.  
2014  
Flow visualization  A Chaudhuri, T.Y. Lee, H.W. Shen, and R. Wenger Exploring Flow Fields Using Spacefilling Analysis of Streamlines IEEE Transactions on Visualization and Computer Graphics, 20(10): 1392  1404, Oct., 2014. preprint, ieeexplorer  
Flow visualization Volume rendering  A Chaudhuri, T.H. Wei, T.Y. Lee, H.W. Shen, and T. Peterka. Efficient Range Distribution Query for Visualizing Scientific Data. In PacificVis ‘14: Proceedings of the IEEE Pacific Visualization Symposium, pp. 201  208, Yokohama, Japan, 2014 (acceptance rate: 29/99 = 29%). preprint  
2013 

Computer graphics  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):26932701, Dec., 2013 (Special Issue for IEEE SciVis '13, acceptance rate: 31/126 = 24%). code, preprint, errata, slides, video 

 Timevarying 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 MaddenJulian Oscillation in Climate Simulation. IEEE Computer Graphics and Applications (Theme Issue on Big Data Visualization), 33(4): 2937, 2013. demo, doi, video 
Volume rendering 
T.H. Wei, T.Y. Lee, and H.W. Shen, Evaluating Isosurfaces with Levelsetbased Information Maps. Computer Graphics Forum, 30(3):110, 2013 (Special Issue for EuroVis 2013, acceptance rate: 49/177 = 28%). code, preprint, slides 

Flow visualization 
K. Lu, A. Chaudhuri, T.Y. Lee, H.W. Shen, and P. C. Wong, Exploring Vector Fields with Distributionbased Streamline Analysis. In PacificVis '13: Proceedings of the IEEE Pacific Visualization Symposium, pp.257  264, Sydney, Australia, 2013 (Acceptance rate: 34/118 = 29%). preprint 

2012 

Flow visualization
Parallel graphics & visualization 
B. Nouanesengsy, T.Y. Lee, K. Lu, H.W. Shen, and T. Peterka, Parallel Particle Advection and FTLE Computation for TimeVarying 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%) 

Flow visualization Parallel graphics & visualization 
C.M. Chen, B. Nouanesengsy, T.Y. Lee, and H.W. Shen, Flowguided File Layout for Outofcore Pathline Computation. In LDAV ‘12: IEEE Symposium on LargeScale Data Analysis and Visualization, pp. 109  112, Seattle, WA, Oct., 2012(Acceptance rate: 18/34 = 53%. Nominated for Best Paper.) 


Timevarying data visualization 
X. Tong, T.Y. Lee, and H.W. Shen, Salient Time Steps Selection from Large Scale TimeVarying Data Sets with Dynamic Time Warping. In LDAV ‘12: IEEE Symposium on LargeScale Data Analysis and Visualization, pp. 49  56, Seattle, WA, Oct., 2012(Acceptance rate: 18/34 = 53%). 
Parallel graphics & visualization 
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 LargeScale Data Analysis and Visualization, pp. 113  120, Seattle, WA, Oct., 2012(Acceptance rate: 18/34 = 53%). 

Flow visualization Parallel graphics & visualization 
C.M. Chen, L. Xu, T.Y. Lee, and
H.W. Shen, FlowGuided File Layout for OutOfCore 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%). 

2011 

Flow visualization Parallel graphics & visualization 
B. Nouanesengsy, T.Y. Lee, and H.W. Shen, LoadBalanced Parallel Streamline Generation on Large Scale Vector Fields. IEEE Transactions on Visualization and Computer Graphics, 17(12):17851794, 2011 (Special Issue for IEEE Visualization 2011, acceptance rate: 49/194 = 25%). 

Flow 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 
L. Xu, T.Y. Lee, and H.W. Shen, An InformationTheoretic Framework for Flow Visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6):12161224, Nov.Dec., 2010 (Special Issue for IEEE Visualization 2010, acceptance rate: 45/185 = 26%). code, pdf, slides 


Timevarying data visualization 
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. 8996, Taipei, Taiwan, March, 2010 (Acceptance rate: 27/84 = 32%). pdf, slides, video 
2009 


Timevarying data visualization 
T.Y. Lee, and H.W. Shen,
Visualization and Exploration of Temporal Trend Relationships in Multivariate TimeVarying 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 

GPGPU Timevarying data visualization 
T.Y.
Lee, and H.W. Shen, Visualizing TimeVarying Features with TACbased Distance Fields. In PacificVis '09: Proceedings of the IEEE Pacific Visualization Symposium, pp. 18, Beijin, China, April, 2009 (Acceptance rate: 26/66 = 40%). pdf, slides 
2006 

GPGPU Volume rendering 
N.
Shareef, T.Y. Lee, H.W. Shen, and K. Mueller, An Imagebased Modelling Approach to GPUbased Rendering of Unstructured Grids. In VG '06: Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2006, pp. 3138, Boston, MA, July, 2006 (Acceptance rate: 13/38 = 34%). 
Additional Publications
Journals/Conferences
 W. Abbeloos, S. Caccamo, E. AtaerCansizoglu, Y. Taguchi, C. Feng, and T.Y. Lee, Detecting and Grouping Identical Objects for Region Proposal and Classification. In CVPR '17 Workshop on Deep Learning for Robotic Vision, 2017 (arXiv).
 C. Hori, T. Hori, T.Y. Lee, K. Sumi, J. R. Hershey, and T. K. Marks, AttentionBased Multimodal Fusion for Video Description, 2017 (arXiv).
 P. C. Wong, H.W. Shen, R. Leung, S. Hagos, T.Y. Lee, X. Tong, and K. Lu, Visual Analytics of LargeScale Climate Model Data. In LDAV '14: Proceedings of the IEEE Symposium on Large Data Analysis and Visualization 2014, Paris, Frances, November 2014.
 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 Data Analysis and Visualization 2011, pp. 105112, Providence, Rhode Island, October 2011 (Acceptance rate: 25/37=66%, pdf, slides).
 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).
 T. Peterka, R. Ross, B. Nouanesengsey, T.Y. Lee, H.W. Shen, W. Kendall, and J. Huang, A Study of Parallel Particle Tracing for SteadyState and TimeVarying Flow Fields. In IPDPS '11: Proceedings of the IEEE International Parallel & Distributed Processing Symposium 2011, pp. 580591, Anchorage, Alaska, May, 2011. (Acceptance rate: 112/571 = 20%, pdf).
Technical Reports/Patents
 A. Chaudhuri, T.Y. Lee, H.W. Shen, M. Khoury and R. Wenger. Exploring Flow Fields Using Fractal Analysis of Field Lines. OSUCISRC4/11TR15.
 F. Porikli, and T.Y. Lee, Method for estimating pattern of change of patient. Japan Patent Application JP2010240400A, October, 2010.
 F. Porikli, and T.Y. Lee, Enhanced Visualizations for Ultrasound Videos. United States Patent Application 20100246914 and 20110007952, September, 2010.
 T.Y. Lee and H.W. Shen, Visualizing TimeVarying Features with TACbased Distance Fields. OSUCISRC10/08TR53 (pdf).
Presentations/Posters
 A. Chaudhuri, T.Y. Lee, H.W. Shen, and T. Peterka, Efficient Range Distribution Query in Largescale Scientific Data. In LDAV '13: IEEE Symposium on Large Data Analysis and Visualization 2013 Poster Session, Atlanta, Georgia, October 2013 (Best Poster).
 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).
 K. Lu, A. Chaudhuri, T.Y. Lee, A. G. Suttmiller, H.W. Shen, and P. C. Wong, Exploring Vector Fields with Distributionbased Streamline Analysis. In VisWeek '12: IEEE Visualization, Seattle, WA, 2012.
 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.
 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.
 C.M. Chen, L. Xu, T.Y. Lee, and H.W. Shen, A Flow Guided File Layout for OutOfCore Streamline Computation. In LDAV '11: IEEE Symposium on Large Data Analysis and Visualization 2011 Poster Session, Providence, Rhode Island, October 2011.
 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).
 Visualizing TimeVarying Features with TACbased Distance Fields. In Grad Research Poster Exhibit, Department of Computer Science & Engineering, The Ohio State University, Apr., 2009.
 Visualizing TimeVarying Features with TACbased Distance Fields. In Demonstrations at Ohio State University in IEEE VisWeek 2008, Columbus, OH, Oct. 22, 2008.
 Y. Tu, and T.Y. Lee, Visual Discovery of Box Office and Oscars in Movie Data. In IEEE InfoVis 2007 Contest (pdf).