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Thesis
  1. Junzhou Huang, "Structured sparsity: theorems, algorithms and applications", Department of Computer Science, Rutgers University-Graduate School-New Brunswick, June 2011.

Book Chapters

  1. Tian Shen, Shaoting Zhang, Junzhou Huang, Xiaolei Huang and Dimitris Metaxas, "Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models", book chapter, to appear in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Springer, 2010.
  2. Junzhou Huang, Chen Chen and Xinyi Cui, "Sparsity Driven Background Modeling and Foreground Detection", book chapter, To appear in Handbook on Background Modeling and Foreground Detection for Video Surveillance, CRC Press, July 2014.
  3. Junzhou Huang, Yeqing Li, "Advanced Sparsity Techniques in Magnetic Resonance Imaging", Machine Learning and Medical Imaging, ISBN: 978-0-12-804076-8, Elsevier Press, 2016.

Journal Papers

  1. Chen Chen, Yeqing Li, Wei Liu and Junzhou Huang, "SIRF: Simultaneous Satellite Image Registration and Fusion in A Unified Framework", IEEE Transactions on Imaging Processing, Vol. 24, No.11, November 2015.
  2. Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris Metaxas, "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted.
  3. Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris Metaxas, "Scalable Histopathological Image Analysis via Supervised Hashing with Multiple Features", Medical Image Analysis, Accepted.
  4. Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina Sanelli, "TENDER: TEnsor Non-local Deconvolution Enabled Radiation Reduction in CT Perfusion", NeuroComputing, Accepted.
  5. Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang, “Real Time Dynamic MRI by Exploiting Spatial and Temporal Sparsity”, Magnetic Resonance Imaging, Volume 34, Issue 4, pp. 473-482, May 2016. [CODES]
  6. Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D’Souza, "Automated Compromised right Lung Segmentation Method Using a Robust Atlas-based Active Volume Model with Sparse Shape Composition Prior in CT", Computerized Medical Imaging and Graphics, Volume 46, pp. 47-55, December 2015.
  7. Ruogu Fang, Haodi Jiang, Junzhou Huang, "Tissue-Specific Sparse Deconvolution for Brain CT Perfusion", Computerized Medical Imaging and Graphics, Volume 46, pp. 64-72, December 2015.
  8. Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang and Dimitris Metaxas, "Learning Multi-scale Active Facial Patches for Expression Analysis", IEEE Transaction on Cybernetics, Volume 45, Number 8, pp.1499-1510, August 2015.
  9. Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed Elgammal and Dimitris Metaxas, "From Circle to 3-Sphere: Head Pose Estimation by Instance Parameterization", Computer Vision and Image Understanding, Volume 136, pp.92-102, July 2015.
  10. Xiang Yu, Shaoting Zhang, Zhenan Yan, Fei Yang, Junzhou Huang, Norah Dunbar, Matthew Jensen, Judee K. Burgoon and Dimitris N. Metaxas, "Is Interactional Dissynchrony a Clue to Deception? Insights from Automated Analysis of Nonverbal Visual Cues", IEEE Transactions on Cybernetics, Volume 45, Issue 3, pp. 506-520, March 2015.
  11. Chen Chen, Fenghua Tian, Hanli Liu and Junzhou Huang, "Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging", IEEE Transactions on Medical Imaging, Volume 33, Issue 12, pp. 2323-2331, December 2014.
  12. Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang, "Feature Matching with Affine-Function Transformation Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 36, Issue 12, pp. 2407-2422, December 2014
  13. Junzhou Huang, Chen Chen, Leon Axel, "Fast Multi-contrast MRI Reconstruction", Magnetic Resonance Imaging, Volume 32, Issue 10, pp. 1344–1352, December 2014.
  14. Chen Chen and Junzhou Huang, ”Exploiting the wavelet structure in Compressed Sensing MRI”, Magnetic Resonance Imaging, Volume 32, Issue 10, pp. 1377–1389, December 2014.
  15. Chen Chen and Junzhou Huang, "The Benefit of Tree Sparsity in Accelerated MRI", Medical Image Analysis, Volume 18, Issue 6, pp. 834–842, August 2014.
  16. Chen Chen, Yeqing Li, and Junzhou Huang, "Forest Sparsity for Multi-channel Compressive Sensing", IEEE Transactions on Signal Processing, Volume 62, Issue 11, pp. 2803-2813, June 2014.
  17. Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris Metaxas, "3D Anatomical Shape Atlas Construction using Mesh Quality Preserved Deformable Models", Computer Vision and Image Understanding, Volume 117, Issue 9, pp. 1061-1071, September 2013.
  18. Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, "Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 35, Issue 12, pp. 2968-2981, December 2013.
  19. Shaoting Zhang, Junzhou Huang, Hongsheng Li and Dimitris Metaxas, "Automatic Image Annotation and Retrieval Using Group Sparsity". IEEE Transactions on Systems, Man, and Cybernetics: Part B (TSMC), Volume 42, Issue 3, pp. 838-849, June 2012. [CODE]
  20. Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Towards Robust and Effective Shape Modeling: Sparse Shape Composition". Medical Image Analysis, Volume 16, Issue 1, pp. 265-277, January 2012. [CODE]
  21. Junzhou Huang, Tong Zhang and Dimitris Metaxas."Learning With Structured Sparsity", Journal of Machine Learning Research, Volume 12, pp. 3371-3412, November 2011. (Tech Report arXiv:0903.3002, March 2009). [CODE]
  22. Junzhou Huang, Shaoting Zhang, Hongsheng Li, Dimitris Metaxas, "Composite Splitting Algorithms for Convex Optimization", Computer Vision and Image Understanding, Volume 115, Number 12, pp. 1610-1622, December 2011. [CODE]
  23. Junzhou Huang, Shaoting Zhang, Dimitris Metaxas, "Efficient MR Image Reconstruction for Compressed MR Imaging", Medical Image Analysis, Volume 15, Issue 5, pp. 670-679, October 2011. [CODE]
  24. Shaoting Zhang, Junzhou Huang and Dimitris Metaxas, "Robust Mesh Editing Using Laplacian Coordinates", Graphical Models, Volume 73, Issue 1, pp.10-19, January 2011. [CODE]
  25. Junzhou Huang and Tong Zhang, "The Benefit of Group Sparsity", Annals of Statistics, Volume 38, Number 4, pp.1978-2004, August 2010.
  26. Junzhou Huang, Tieniu Tan, Li Ma, Yunhong Wang, "Phase Correlation Based Iris Image Registration Model", Journal of Computer Science and Technology, Vol. 20, No. 2, pp. 419-425, March 2005

Selected Conference Papers ( 8 CVPR/ 5 ICCV/ 3 ECCV/ 1 ICML/ 1 NIPS/ 3 AAAI/ 1 IJCAI/ 1 IPMI/ 18 MICCAI )

  1. Zheng Xu, Junzhou Huang, "Detecting 10,000 Cells in One Second", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016.
  2. Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang, "Subtype Cell Detection with an Accelerated Deep Convolution Neural Network", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016.
  3. Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang, "Clinical Imaging Biomarker Discovery for Survival Prediction on Lung Cancer Imaging Genetic Data", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016. (Oral presentation)
  4. Yeqing Li, Junzhou Huang, Wei Liu, "Scalable Sequential Spectral Clustering", In Proc. of The Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, USA, February 2016.
  5. Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang, "Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015.
  6. Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang, "Fast Preconditioning for Accelerated Multi-Contrast MRI Reconstruction", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015. (Oral presentation 36/810 = ~4% )
  7. Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris Metaxas, "Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015. (MICCAI Young Scientist Award, 4 out of 810 submissions)
  8. Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang, "Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015.
  9. Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao, "Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information", In Proc. of International Joint Conference on Artificial Intelligence, IJCAI'15, Buenos Aires, Argentina, July 2015.
  10. Yeqing Li*, Chen Chen*, Fei Yang and Junzhou Huang, "Deep Sparse Representation for Robust Image Registration", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'15, Boston, USA, June 2015. (Acceptance rate, 602 / 2123 = 28.4% )
  11. Yeqing Li, Feiping Nie, Heng Huang and Junzhou Huang, "Large-Scale Multi-View Spectral Clustering via Bipartite Graph", In Proc. of the Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI'15, Austin, TX, USA, Januanry 2015.
  12. Yeqing Li, Chen Chen, Xiaolei Huang and Junzhou Huang, “Instrument Tracking via Online Learning in Retinal Microsurgery”, In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014. (Oral Presentation) (MICCAI Young Scientist Award Runners Up)
  13. Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang, “Real Time Dynamic MRI with Dynamic Total Variation”, In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014.
  14. Yeqing Li, Chen Chen, Wei Liu, and Junzhou Huang, "Sub-Selective Quantization for Large-Scale Image Search", In Proc. of the Twenty-Eighth AAAI Conference on Artificial Intelligence, AAAI'14, Québec, Canada, July 2014. (Oral Presentation)
  15. Chen Chen, Junzhou Huang, Lei He, and Hongsheng Li, "Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation)
  16. Chen Chen, Yeqing Li, Wei Liu, and Junzhou Huang, "Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation)
  17. Chen Chen, Yeqing Li and Junzhou Huang, "Calibrationless Parallel MRI with Joint Total Variation Regularization", In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'13, Nagoya, Japan, September 2013.
  18. Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan and Dimitris Metaxas, "Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", In Proc. of the 14th International Conference on Computer Vision, ICCV'13, Sydney, Australia, December 2013.
  19. Yang Yu, Shaoting Zhang, Junzhou Huang, Dimitris Metaxas and Leon Axel, "Sparse Deformable Models with Application to Cardiac Motion Analysis", In Proc. of the 23rd Biennial International Conference on Information Processing in Medical Imaging, IPMI'13, Asilomar, CA, June 2013.
  20. Chen Chen, Junzhou Huang, "Compressive Sensing MRI with Wavelet Tree Sparsity", In Proc. of the 26th Annual Conference on Neural Information Processing Systems, NIPS'12, Lake Tahoe, Nevada, USA, December 2012.
  21. Junzhou Huang, Chen Chen, Leon Axel, "Fast Multi-contrast MRI Reconstruction", In Proc. of the 15th Annual International Conf. on Medical Image Com puting and Computer Assisted Intervention, MICCAI’12, Nice, France, October 2012.
  22. Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris Metaxas, "Simplified Labeling Process for Medical Image Segmentation", In Proc. of the 15th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI'12, Nice, France, October 2012.
  23. Chen Chen, Junzhou Huang, "The Benefit of Tree Sparsity in Accelerated MRI", In MICCAI Workshop on Sparsity Techniques in Medical Imaging, STMI'12, Nice, France, October 2012. (Oral Presentation) (Best Paper Award)
  24. Xinyi Cui, Junzhou Huang, Shaoting Zhang and Dimitris Metaxas, "Background Subtraction using Group Sparsity and Low Rank Constraint", In Proc. of the 12th European Conference on Computer Vision, ECCV'12, Firenze, Italy, October 2012.
  25. Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang and Dimitris Metaxas, "Learning Active Facial Patches for Expression Analysis". In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'12, Providence, Rhode Island, USA, June 2012.
  26. Hongsheng Li, Junzhou Huang, Shaoting Zhang, and Xiaolei Huang, "Optimal Object Matching via Convexification and Composition", In Proc. of the 13th International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011. [video 1] [video 2] [video 3] [video 4]
  27. Tian Shen, Xiaoleo Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, and Junzhou Huang, "A 3D Laplacian-Driven Parametric Deformable Model", In Proc. of the 13th International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011.
  28. Shaoting Zhang, Junzhou Huang, Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos and Dimitris N. Metaxas, "3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models", In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011.
  29. Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Deformable Segmentation via Sparse Shape Composition: Towards the Robustness to Weak Appearance Cues", In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011. (MICCAI Young Scientist Award Runners Up)
  30. Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, "Robust Tracking Using Local Sparse Appearance Model and K-Selection", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'11, Colorado Springs, Colorado, USA, June 2011. Oral presentation.
  31. Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Sparse Shape Composition: A New Framework for Shape Prior Modeling", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'11, Colorado Springs, Colorado, USA, June 2011.
  32. Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitri Metaxas, Leon Axel, "4D Cardiac Reconstruction Using High Resolution CT Images", In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH'11, New York, USA, May 2011. (Oral presentation). (Best Paper Award)
  33. Junzhou Huang, Shaoting Zhang and Dimitris Metaxas. " Efficient MR Image Reconstruction for Compressed MR Imaging ", In Proc. of the 13th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'10, Beijing, China, September 2010. Oral presentation. MICCAI Young Scientist Award. [CODE]
  34. Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir Kulikowski, ”Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization”, In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010.
  35. Junzhou Huang, Shaoting Zhang and Dimitris Metaxas. " Fast Optimization for Mixture Prior Models ", In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010. [CODE]
  36. Shaoting Zhang, Junzhou Huang,Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris Metaxas, "Automatic Image Annotation Using Group Sparsity", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'10, San Francisco, USA, June 2010. Oral presentation. [CODE]
  37. Junzhou Huang, Tong Zhang, Dimitris Metaxas, "Learning with Structured Sparsity", In Proc. of the 26th International Conference on Machine Learning, ICML'09, Montreal, Quebec, Canada, June 2009. Oral presentation. [Slides] [CODE]
  38. Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Learning with Dynamic Group Sparsity", In Proc. of the 12th International Conference on Computer Vision, ICCV'09, Kyoto, Japan, October 2009. Oral presentation. [Slides] [CODE]
  39. Junzhou Huang, Zhen Qian, Xiaolei Huang, Dimitris Metaxas, Leon Axel, "Tag Separation in Cardiac Tagged MRI", In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008.
  40. Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou Huang, Dimitris Metaxas, Leon Axel, "Active Volume Models with Probabilistic Object Boundary Prediction Module", In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008.
  41. Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Simultaneous Image Transformation and Sparse Representation Recovery", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'08, Anchorage, AL, USA, June 2008. [CODE]
  42. Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, and Leon Axel, "Adaptive Metamorphs Model for 3D Medical Image Segmentation", In Proc. of the 10th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'07, pp. 302-310, Brisbane, Australia, October 2007.
  43. Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Optimization and Learning for Registration of Moving Dynamic Textures", In Proc. of the 11th International Conference on Computer Vision, ICCV'07, Rio de Janeiro, Brazil, October 2007. Oral presentation.[Slides]