Curriculum Vitae (PDF)		 Sharon Xiaolei Huang
Associate Professor
Computer Science & Engineering Department
P.C. Rossin College of Engineering and Applied Science
 Lehigh University
113 Research Drive
Bethlehem, PA 18015

332 Building "C"
huang AT cse.lehigh.edu
(610) 758-4818 (Phone)
(610) 758-4096 (Fax)
Spring 2018 Office Hours: Wednesday 2:00-4:00pm
Google Scholar Profile
http://www.cse.lehigh.edu/~huang


Update:

I am moving to Penn State University, joining its College of Information Sciences and Technology as an Associate Professor, starting in August 2018. My new homepage is here.

Brief Bio:

Xiaolei (Sharon) Huang received her B.E. degree in Computer Science from Tsinghua University, China in 1999, and her M.S. and Ph.D. degrees in Computer Science from Rutgers University in 2001 and 2006, respectively. She is currently an associate professor in the Computer Science and Engineering department at Lehigh University, Bethlehem, PA. Her research interests are in the areas of computer vision, biomedical image analysis, and computer graphics, focusing on object recognition, segmentation, registration/matching, real-time tracking, skeletonization, and deformable (non-rigid) model based methods. Her broader interests include machine learning, artificial intelligence, computer-assisted diagnosis and intervention, content-based image/graphics indexing and retrieval, physically-based modeling and simulation, HCI, visualization, and bioinformatics.
Courses:

 Spring 2018:  Foundations of Discrete Structures and Algorithms (CSE 198)
Fall 2017:      Deep Learning (CSE 398/498)
Spring 2017:  Discrete Structures (CSE/MATH 261)
Fall 2015:      Computer Graphics (CSE 313)
Fall 2015:      Biomedical Image Computing and Modeling (CSE/BioE 320/420)
Spring 2011:  Image Analysis and Graphics (CSE 319/419)
Fall 2008:      User Interface Systems and Techniques (CSE 331)

Research

I am a computer scientist who is curious about how human brain, eye, body, and cell, function. Hence I am always excited about developing robust image analysis methods and building autonomous and intelligent systems that integrate algorithms with efficient, application-specific designs to solve computational problems in biomedicine, perception, and cognition. In particular, I work toward robust medical imaging software that aid medical doctors in accurate and reproducible diagnosis, and to better understand the basic anatomical and physiological relationships in normal and diseased states. I develop image processing and analysis software for analyzing biological images to help biologists and biophysicists in understanding and modeling complex biological pathways and systems. I also create intelligent vision systems that are capable of learning effectively and reasoning about multiple sources of information in order to achieve functions typical of human vision.  I direct the Image Data Emulation and Analysis (IDEA) Lab at Lehigh.
Full Publication List

Recent Publications:

J. Yao, Z. Xu, X. Huang, J. Huang, ``An Efficient Algorithm for Dynamic MRI using Low-rank and Total Variation Regularizations," In Medical Image Analysis, Vol. 44, pp. 14-27, 2018.

H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, D. Metaxas, ``StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks," In Proc. of International Conf. on Computer Vision, 2017.

S. Wan, H.C. Lee, X. Huang, T. Xu, T. Xu, X. Zeng, Z. Zhang, Y. Sheikine, J.L. Connolly, J.G. Fujimoto, C. Zhou, ``Integrated local binary pattern texture features for classification of breast tissue imaged by Optical Coherence Microscopy,'' In Medical Image Analysis, Vol. 38, pp. 104-116, 2017.

T. Xu, H. Zhang, C. Xin, E. Kim, L.R. Long, Z. Xue, S. Antani, X. Huang, ``Multi-feature based benchmark for cervical dysplasia classification evaluation,'' In Pattern Recognition, Vol. 63, pp. 468-475, 2017.

T. Xu, H. Zhang, X. Huang , S. Zhang, D. Metaxas, ``Multimodal Deep Learning for Cervical Dysplasia Diagnosis,'' In Proc. of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS Vol. 9901, pp. 115-123, 2016.

H. Zhang, T. Xu, M. Elhoseiny, X. Huang, S. Zhang, A. Elgammal, D. Metaxas, ``SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1143-1152, 2016.

Z. Zhu, D. Liang, S. Zhang, X. Huang, B. Li, S. Hu, ``Traffic-Sign Detection and Classification in the Wild,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2110-2118, 2016.

T. Xu, D. Vavylonis, F.C. Tsai, G.H. Koenderink, W. Nie, E. Yusuf, I.J. Lee, J.Q. Wu, X. Huang, ``SOAX: A software for quantification of 3D biopolymer networks," In Scientific Reports, 13;5:9081, 2015. (SOAX Software Link)

M. Cheng, N.J. Mitra, X. Huang, P.H.S. Torr, S.M. Hu, ``Global Contrast Based Salient Region Detection," In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(3):569-82, 2015.

D. Song, E. Kim, X. Huang, J. Patruno, H. Munoz-Avila, J. Heflin, L.R. Long, S. Antani, ``Multi-modal Entity Coreference for Cervical Dysplasia Diagnosis," In IEEE Trans. on Medical Imaging (TMI), 34(1):229-45, 2015.

H. Li, X. Huang, J. Huang, S. Zhang, ``Feature Matching with Affine-Function Transformation Models," In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 36(12):2407-22, 2014.

T. Xu, D. Vavylonis, X. Huang, ``3D Actin Network Centerline Extraction with Multiple Active Contours,'' In Medical Image Analysis, 18(2):272-84, 2014.

M. Cheng, N. J. Mitra, X. Huang, S. M. Hu, ``SalientShape: Group Saliency in Image Collections,'' In Visual Computer, August 2013.

H. Li, X. Huang, L. He, ``Object Matching Using a Locally Affine Invariant and Linear Programming Techniques,'' In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 35(2):411-24, 2013.

E. Kim, H. Li, X. Huang, ``A Hierarchical Image Clustering Cosegmentation Framework,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 686-693, 2012.

E. Kim, X. Huang, G. Tan, ``Markup SVG - An Online Content Aware Image Abstraction and Annotation Tool,'' In IEEE Trans. on Multimedia (TMM), 13(5):993-1006, 2011.

T. Shen, H. Li, X. Huang, ``Active Volume Models for Medical Image Segmentation,'' In IEEE Trans. on Medical Imaging (TMI), 30(3):774-791, 2011.

H. Li, T. Shen, X. Huang, ``Approximately Global Optimization for Robust Alignment of Generalized Shapes,'' In IEEE Trans. on Pattern Analysis and Machine Intelligence(TPAMI), 33(6):1116-1131, 2011.

E. Kim, X. Huang, J. Heflin, ``Finding VIPS - A Visual Image Persons Search Using a Content Property Reasoner and Web Ontology,'' In Proc. of IEEE International Conf. on Multimedia & Expo (ICME), 2011.

H. Li, T. Shen, X. Huang, ``Actin Filament Segmentation Using Dynamic Programming,'' In Proc. of 22nd International Conf. on Information Processing in Medical Imaging (IPMI), pp. 411-423, 2011.

T. Xu, H. Li, T. Shen, N. Ojkic, D. Vavylonis, X. Huang, ``Extraction and Analysis of Actin Networks based on Open Active Contour Models,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 1334-1340, 2011.

M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang, S. M. Hu, ``Global Contrast based Salient Region Detection,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 409-416, 2011.

E. Kim, S. Antani, X. Huang, L.R. Long, D. Demner-Fushman, ``Using Relevant Regions in Image Search and Query Refinement for Medical CBIR,'' In Proc. of SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 2011.

M. B. Smith, H. Li, T. Shen, X. Huang, E. Yusuf, D. Vavylonis, ``Segmentation and Tracking of Cytoskeletal Filaments using Open Active Contours,'' In Cytoskeleton, 67(11): 693-705, 2010.

M. Cheng, F. L. Zhang, N. J. Mitra, X. Huang, S. M. Hu, ``RepFinder: Finding Approximately Repeated Scene Elements for Image Editing,'' In ACM Trans. on Graphics, Vol. 29, No. 4, 2010. (Presented at SIGGRAPH 2010)

H. Li, T. Shen, D. Vavylonis, X. Huang, ``Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models,'' In Proc. of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 86-94, 2010.

H. Li, E. Kim, X. Huang, L. He, ``Object Matching with a Locally Affine-Invariant Constraint,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1641-1648, 2010.

J. Huang, X. Huang, D. Metaxas, ``Learning with Dynamic Group Sparsity,'' In Proc. of IEEE International Conf. on Computer Vision (ICCV), pp. 64-71, 2009.


Current Ph.D. Students:

Tao Xu
Yuan Xue

Former Ph.D. students:

Ting Xu (Now Data Scientist at Konica Minolta Laboratory USA)
Edward Kim (Now Assistant Professor at Villanova University, Villanova, PA, USA)
Hongsheng Li (Now Associate Professor at the University of Electronic Science and Technology of China & Research Assistant Professor at the Chinese University of Hong Kong)
Yaoyao Zhu (Now at Checkpoint Systems, Boston, MA, USA)
Tian Shen (Now CEO at ShenZhen Beishen Healthcare Technology Co., ShenZhen, China)


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