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 email address is:
suh972 AT psu.edu.
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
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.
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)
Biomedical Image Computing and Modeling (CSE/BioE 320/420)
Image Analysis and Graphics (CSE 319/419)
User Interface Systems and Techniques (CSE 331)
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
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,
H. Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, D. Metaxas, ``StackGAN: Text to Photo-realistic
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.
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
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
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:
Former Ph.D. students:
Xu (Now Data Scientist at Konica Minolta Laboratory USA)
(Now Assistant Professor at Villanova University, Villanova, PA, USA)
Hongsheng Li (Now Associate
Professor at the
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)