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Education

    • 2011 PhD in Computer Science
      Rutgers The State University O, 2011
    • 2011 PhD in Computer Science
      Rutgers The State University O, 2011
    • 2003 MS in Pattern Recognition & Intelligent Systems
      Chinese Academy Of Sciences, 2003
    • 2003 MS in Pattern Recognition & Intelligent Systems
      Chinese Academy Of Sciences, 2003
    • 1996 BE in Control Science & Engineering
      Huazhong Univ of Scie & Tech, 1996
    • 1996 BE in Control Science & Engineering
      Huazhong Univ of Scie & Tech, 1996

Appointments

    • Sept 2016 to Present Associate Professor
      Computer Science and Engineering ,The University of Texas at Arlington (Arlington, TX, United States)
    • Sept 2011 to Aug 2016 Assistant Professor
      Computer Science and Engineering ,The University of Texas at Arlington (Arlington, TX, United States)

Memberships

    • Jan 2015 to Present Association for Advancement of Artificial Intelligence (AAAI)
      Member
    • Jan 2012 to Present Society for Industrial and Applied Mathematics (SIAM)
      Member
    • Sept 2011 to Present The Medical Image Computing and Computer Assisted Intervention Society (MICCAI)
      Member
    • Aug 2011 to Present Institute of Electrical and Electronics Engineers (IEEE)
      Member

Awards and Honors

    • Oct  2016 1st Place Winner, the Surgical Tool Detection Challenge sponsored by Challenges on Modeling and Monitoring of Computer Assisted Interventions (M2CAI)
    • Aug  2016 NSF CAREER Award sponsored by National Science Foundation
    • Oct  2015 Best Student Paper Award sponsored by 18th International Conference on Medical Image Com- puting and Computer Assisted Intervention (MICCAI
    • Sep  2014 Best Student Paper Award Finalist sponsored by 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI
    • Dec  2013 Best Reviewer Award sponsored by 27th Annual Conference on Neural Information Processing Systems (NIPS)
    • Oct  2012 Best Paper Award sponsored by 1st MICCAI Workshop on Sparsity Techniques in Medical Imaging (STMI)
    • Sep  2011 Young Scientist Award Finalist sponsored by 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI
    • May  2011 Best Paper Award sponsored by 6th International Conference on Functional Imaging and Mod- eling of the Heart (FIMH),
    • Oct  2010 IBM Watson Emerging Leaders in Multimedia and Signal Processing, sponsored by IBM Watson Research
    • Sep  2010 Young Scientist Award sponsored by 13th International Conference on Medical Image Comput- ing and Computer Assisted Intervention (MICCAI
    • Jun  2003 Outstanding Graduate sponsored by Chinese Academy of Science
    • Aug  1999 Excellent Technology Impetus Prize sponsored by Industrial and Commercial Bank of China
    • Jun  1996 Outstanding Undergraduate sponsored by Huazhong University of Science and Technology

News Articles

Publications

      Conference Proceeding 2018
      • Adaptive Sampling Towards Fast Graph Representation Learning
        [Huang, Wenbing, Zhang, Tong, Rong, Yu, Huang, Junzhou].
      2018
      • Discrimination-aware Channel Pruning for Deep Neural Networks
        [Zhuang, Zhuangwei, Tan, Mingkui, Zhuang, Bohan, Liu, Jing, Cao, Jiezhang, Wu, Qingyao, Huang, Junzhou, Zhu, Jinhui].
      2018
      • Weakly Supervised Dense Event Captioning in Videos
        [Duan, Xuguang, Huang, Wenbing, Gan, Chuang, Wang, Jingdong, Zhu, Wenwu, Huang, Junzhou].
      2018
      • Graph CNN for Survival Analysis on Whole Slide Pathological Images
        [Li, Ruoyu, Yao, Jiawen, Zhu, Xinliang, Li, Yeqing, Huang, Junzhou].
      2018
      • Group-driven Reinforcement Learning for Personalized mHealth Intervention
        [Zhu, Feiyun, Guo, Jun, Xu, Zheng, Liao, Peng, Huang, Junzhou].
      2018
      • Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data
        [Zhang, Yifan, Zhao, Peilin, Cao, Jiezhang, Ma, Wenye , Huang, Junzhou, Wu, Qingyao, Tan, Mingkui].
      2018
      • Adversarial Learning with Local Coordinate Coding
        [Cao, Jiezhang, Guo, Yong, Wu, Qingyao, Shen, Chunhua, Huang, Junzhou, Tan, Mingkui].
      2018
      • Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
        [Wu, Jiaxiang, Huang, Weidong, Huang, Junzhou, Zhang, Tong].
      2018
      • Transfer Learning via Learning to Transfer
        [Wei, Ying, Zheng, Yu, Huang, Junzhou, Yang, Qiang].
      2018
      • End-to-End Learning of Motion Representation for Video Understanding
        [Fan, Lijie, Huang, Wenbing, Gan, Chuang, Ermon, Stefano , Gong, Boqing, Huang, Junzhou].
      2018
      • Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion
        [Zhang, Siyuan, Rong, Yu, Zheng, Yu, Cheng, Hong, Huang, Junzhou].
      2018
      • Online Compact Convexified Factorization Machine
        [Lin, Xiao, Zhang, Wenpeng, Zhang, Min, Zhao, Peilin, Zhu, Wenwu, Pei, Jian, Huang, Junzhou].
      2018
      • Adaptive Graph Convolutional Neural Networks
        [Li, Ruoyu, Wang, Sheng, Zhu, Feiyu, Huang, Junzhou].

      Journal Article 2018 2018 2018 2018
      • A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation
        [Huang, Xiaoming, Zheng, Yin, Huang, Junzhou, Zhang, Yujin]. 25(8), 1126-1130 [.]
      2018
      • Sub-Selective Quantization for Learning Binary Code in Large-Scale Image Search
        [Li, Yeqing, Liu, Wei, Huang, Junzhou]. 40(6), 1526-1532 [.]
      2018
      • A Simple Primal-dual Algorithm for Nuclear Norm and Total Variation Regularization
        [Niu, Zhibin, Yao, Jiawen, Xu, Zheng, Huang, Junzhou, Zhang, Benxin]. 289, 1-12 [.]
      2018
      • An Efficient Algorithm for Dynamic MRI Using Low-rank and Total Variation Regularization
        [Yao, Jiawen, Xu, Zheng, Huang, Xiaolei, Huang, Junzhou]. 44, 14-27 [.]

      Conference Proceeding 2017
      • Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
        [Huang, Junzhou].
      2017
      • Deep Correlational Learning for Survival Prediction from Multi-modality Data
        [Huang, Junzhou].
      2017
      • Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery
        [Huang, Junzhou].
      2017
      • WSISA: Making Survival Prediction from Whole Slide Pathology Images
        [Zhu, Xinliang, Yao, Jiawen, Zhu, Feiyun, Huang, Junzhou].
      2017
      • Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos
        [Wang, Sheng, Raju, Ashwin, Huang, Junzhou]. 620-623 [.] "IEEE".
      2017
      • A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning.
        [Xu, Zheng, Huang, Junzhou]. 2803-2809 [.]
      2017
      • Adaptive Proximal ApproximAverage ation for Composite Convex Minimization.
        [Li Shen, Liu, Wei, Huang, Junzhou, Jiang, Yu-Gang, Ma, Shiqian]. 2513-2519 [.]

      Journal Article 2017 2017
      • Automatic Extraction of Cell Nuclei from H&E-stained Histopathological Images
        [Luo, Xin, Yi, Faliu, Huang, Junzhou, Yang, Lin, Xie, Yang, Xiao, Guanghua]. 4, 4-12 [.]
      2017
      • Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis
        [Luo, Xin, Zang, Xiao, Yang, Lin, Huang, Junzhou, Liang, Faming, Rodriguez-Canales, Jaime, Wistuba, IgnacioI., Gazdar, Adi, Xie, Yang, Xiao, Guanghua]. 12(3), 501-509 [.]
      2017
      • TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion
        [Fang, Ruogu, Gupta, Ajay, Huang, Junzhou, Sanelli, Pina]. 229, 13-22 [.]

      Book Chapter 2017
      • Accelerated Cell Detection with Sparse Convolution Kernels
        [Huang, Junzhou].

      Conference Proceeding 2016
      • Accelerated sparse optimization for missing data completion
        [Xu, Zheng, Li, Yeqing, Huang, Junzhou]. 1267-1272 [.] "IEEE".
      2016
      • Deep convolutional neural network for survival analysis with pathological images
        [Zhu, Xinliang, Yao, Jiawen, Huang, Junzhou]. 544-547 [.] "IEEE".
      2016
      • Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model
        [Zhu, Xinliang, Yao, Jiawen, Xiao, Guanghua, Xie, Yang, Rodriguez-Canales, Jaime, Parra, EdwinR., Behrens, Carmen, Wistuba, IgnacioI., Huang, Junzhou]. 455-459 [.] "IEEE".
      2016
      • Detecting 10,000 Cells in one second
        [Xu, Zheng, Huang, Junzhou]. 676-684 [.] "Springer".
      2016
      • Imaging biomarker discovery for lung cancer survival prediction
        [Yao, Jiawen, Wang, Sheng, Zhu, Xinliang, Huang, Junzhou]. 649-657 [.] "Springer".
      2016
      • Subtype cell detection with an accelerated deep convolution neural network
        [Wang, Sheng, Yao, Jiawen, Xu, Zheng, Huang, Junzhou]. 640-648 [.] "Springer".
      2016
      • Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications.
        [Gao, Longwen, Li, Yeqing, Huang, Junzhou, Zhou, Shuigeng]. 507-514 [.]
      2016
      • Sequential Face Alignment via Person-Specific Modeling in the Wild
        [Peng, Xi, Huang, Junzhou, Metaxas, DimitrisN.]. 107-116 [.]
      2016
      • Lung cancer survival prediction from pathological images and genetic data—An integration study
        [Zhu, Xinliang, Yao, Jiawen, Luo, Xin, Xiao, Guanghua, Xie, Yang, Gazdar, Adi, Huang, Junzhou]. 1173-1176 [.] "IEEE".
      2016
      • RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso
        [Peng, Zhongxing, Xu, Zheng, Huang, Junzhou]. 318-321 [.] "IEEE".
      2016
      • Scalable Sequential Spectral Clustering.
        [Li, Yeqing, Huang, Junzhou, Liu, Wei]. 1809-1815 [.]

      Journal Article 2016
      • Scalable histopathological image analysis via supervised hashing with multiple features
        [Jiang, Menglin, Zhang, Shaoting, Huang, Junzhou, Yang, Lin, Metaxas, DimitrisN.]. 34, 3-12 [.]
      2016
      • Face landmark fitting via optimized part mixtures and cascaded deformable model
        [Yu, Xiang, Huang, Junzhou, Zhang, Shaoting, Metaxas, DimitrisN.]. 38(11), 2212-2226 [.]
      2016
      • Track Facial Points in Unconstrained Videos
        [Peng, Xi, Hu, Qiong, Huang, Junzhou, Metaxas, DimitrisN.].
      2016
      • Real time dynamic MRI by exploiting spatial and temporal sparsity
        [Chen, Chen, Li, Yeqing, Axel, Leon, Huang, Junzhou]. 34(4), 473-482 [.]

      Book 2016
      • Advanced Sparsity Techniques in Magnetic Resonance Imaging
        [Huang, Junzhou, Li, Yeqing, , Huang, Junzhou, ]. "Academic Press".

      Journal Article 2015
      • Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
        [Zhou, Jinghao, Yan, Zhennan, Lasio, Giovanni, Huang, Junzhou, Zhang, Baoshe, Sharma, Navesh, Prado, Karl, D’Souza, Warren]. 46, 47-55 [.]
      2015
      • Tissue-specific sparse deconvolution for brain CT perfusion
        [Fang, Ruogu, Jiang, Haodi, Huang, Junzhou]. 46, 64-72 [.]
      2015
      • SIRF: simultaneous satellite image registration and fusion in a unified framework
        [Chen, Chen, Li, Yeqing, Liu, Wei, Huang, Junzhou]. 24(11), 4213-4224 [.]
      2015
      • Learning multiscale active facial patches for expression analysis
        [Zhong, Lin, Liu, Qingshan, Yang, Peng, Huang, Junzhou, Metaxas, DimitrisN.]. 45(8), 1499-1510 [.]
      2015
      • From circle to 3-sphere: Head pose estimation by instance parameterization
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Elgammal, Ahmed, Metaxas, Dimitris]. 136, 92-102 [.]

      Conference Proceeding 2015
      • Accelerated dynamic MRI reconstruction with total variation and nuclear norm regularization
        [Yao, Jiawen, Xu, Zheng, Huang, Xiaolei, Huang, Junzhou]. 635-642 [.] "Springer".
      2015
      • An effective approach for robust lung cancer cell detection
        [Pan, Hao, Xu, Zheng, Huang, Junzhou]. 87-94 [.] "Springer".
      2015
      • Computer-assisted diagnosis of lung cancer using quantitative topology features
        [Yao, Jiawen, Ganti, Dheeraj, Luo, Xin, Xiao, Guanghua, Xie, Yang, Yan, Shirley, Huang, Junzhou]. 288-295 [.] "Springer".
      2015
      • Efficient 4D non-local tensor total-variation for low-dose CT perfusion deconvolution
        [Fang, Ruogu, Ni, Ming, Huang, Junzhou, Li, Qianmu, Li, Tao]. 168-179 [.] "Springer".
      2015
      • Efficient lung cancer cell detection with deep convolution neural network
        [Xu, Zheng, Huang, Junzhou]. 79-86 [.] "Springer".
      2015
      • Efficient preconditioning in joint total variation regularized parallel mri reconstruction
        [Xu, Zheng, Li, Yeqing, Axel, Leon, Huang, Junzhou]. 563-570 [.] "Springer".
      2015
      • Fast preconditioning for accelerated multi-contrast MRI reconstruction
        [Li, Ruoyu, Li, Yeqing, Fang, Ruogu, Zhang, Shaoting, Pan, Hao, Huang, Junzhou]. 700-707 [.] "Springer".
      2015
      • Fast regions-of-interest detection in whole slide histopathology images
        [Li, Ruoyu, Huang, Junzhou]. 120-127 [.] "Springer".
      2015
      • Joint kernel-based supervised hashing for scalable histopathological image analysis
        [Jiang, Menglin, Zhang, Shaoting, Huang, Junzhou, Yang, Lin, Metaxas, DimitrisN.]. 366-373 [.] "Springer".
      2015
      • Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information.
        [Deng, Cheng, Lv, Zongting, Liu, Wei, Huang, Junzhou, Tao, Dacheng, Gao, Xinbo]. 3438-3444 [.]
      2015
      • Deep sparse representation for robust image registration
        [Li, Yeqing, Chen, Chen, Yang, Fei, Huang, Junzhou]. 4894-4901 [.]
      2015
      • Three-dimensional head pose estimation in-the-wild
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Metaxas, DimitrisN.]. 1, 1-6 [.] "IEEE".
      2015
      • A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data
        [Fang, Ruogu, Huang, Junzhou, Luh, Wen-Ming]. 498-502 [.] "IEEE".
      2015
      • Multi-frequency diffuse optical tomography for cancer detection
        [Chen, Chen, Kavuri, VenkaiahC., Wang, Xinlong, Li, Ruoyu, Liu, Hanli, Huang, Junzhou]. 67-70 [.] "IEEE".
      2015
      • Robust image registration in the gradient domain
        [Li, Yeqing, Chen, Chen, Zhou, Jinghao, Huang, Junzhou]. 605-608 [.] "IEEE".
      2015
      • Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
        [Li, Yeqing, Nie, Feiping, Huang, Heng, Huang, Junzhou]. 2750-2756 [.]

      Journal Article 2014
      • Diffuse optical tomography enhanced by clustered sparsity for functional brain imaging
        [Chen, Chen, Tian, Fenghua, Liu, Hanli, Huang, Junzhou]. 33(12), 2323-2331 [.]
      2014
      • Exploiting the wavelet structure in compressed sensing MRI
        [Chen, Chen, Huang, Junzhou]. 32(10), 1377-1389 [.]
      2014
      • Fast multi-contrast MRI reconstruction
        [Huang, Junzhou, Chen, Chen, Axel, Leon]. 32(10), 1344-1352 [.]
      2014
      • Feature matching with affine-function transformation models
        [Li, Hongsheng, Huang, Xiaolei, Huang, Junzhou, Zhang, Shaoting]. 36(12), 2407-2422 [.]
      2014
      • Forest sparsity for multi-channel compressive sensing
        [Chen, Chen, Li, Yeqing, Huang, Junzhou]. 62(11), 2803-2813 [.]

      Conference Proceeding 2014
      • Multimodal sparse representation classification with fisher discriminative sample reduction
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou, Ghandehari, Laleh]. 5192-5196 [.] "IEEE".
      2014
      • Instrument tracking via online learning in retinal microsurgery
        [Li, Yeqing, Chen, Chen, Huang, Xiaolei, Huang, Junzhou]. 464-471 [.] "Springer".
      2014
      • Real time dynamic MRI with dynamic total variation
        [Chen, Chen, Li, Yeqing, Axel, Leon, Huang, Junzhou]. 138-145 [.] "Springer".
      2014
      • Head pose estimation by instance parameterization
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Metaxas, DimitrisN.]. 1800-1805 [.] "IEEE".
      2014
      • O (1) algorithms for overlapping group sparsity
        [Chen, Chen, Peng, Zhongxing, Huang, Junzhou]. 1645-1650 [.] "IEEE".
      2014
      • Transformation-Invariant Collaborative Sub-representation
        [Li, Yeqing, Chen, Chen, Huang, Jungzhou, ]. 3738-3743 [.] "IEEE".
      2014
      • Sub-Selective Quantization for Large-Scale Image Search.
        [Li, Yeqing, Chen, Chen, Liu, Wei, Huang, Junzhou]. 2803-2809 [.]
      2014
      • Energy disaggregation via hierarchical factorial hmm”
        [Li, Yeqing, Peng, Zhongxing, Huang, Junzhou, Zhang, Zhilin, Son, JaeHyun]. 1-4 [.]
      2014
      • Image fusion with local spectral consistency and dynamic gradient sparsity
        [Chen, Chen, Li, Yeqing, Liu, Wei, Huang, Junzhou]. 2760-2765 [.]
      2014
      • Preconditioning for accelerated iteratively reweighted least squares in structured sparsity reconstruction
        [Chen, Chen, Huang, Junzhou, He, Lei, Li, Hongsheng]. 2713-2720 [.]
      2014
      • 2D diffuse optical imaging using clustered sparsity
        [Chen, Chen, Tian, Fenghua, Yao, Jixing, Liu, Hanli, Huang, Junzhou]. 616-619 [.] "IEEE".
      2014
      • Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI
        [Chen, Chen, Huang, Junzhou]. 41-44 [.] "IEEE".

      Book Chapter 2014
      • Sparsity Driven Background Modeling and Foreground Detection
        [Huang, Junzhou, Chen, Chen, Cui, Xinyi ]. "CRC press".

      Conference Proceeding 2013
      • Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model
        [Yu, Xiang, Huang, Junzhou, Zhang, Shaoting, Yan, Wang, Metaxas, DimitrisN.]. 1944-1951 [.]
      2013
      • Calibrationless parallel MRI with joint total variation regularization
        [Chen, Chen, Li, Yeqing, Huang, Junzhou]. 106-114 [.] "Springer".
      2013
      • Sparse deformable models with application to cardiac motion analysis
        [Yu, Yang, Zhang, Shaoting, Huang, Junzhou, Metaxas, Dimitris, Axel, Leon]. 208-219 [.] "Springer".
      2013
      • Efficient sparse representation classification using adaptive clustering
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou]. 1 [.] "The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)".
      2013
      • The role of dictionary learning on sparse representation-based classification
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou]. 47 [.] "ACM".
      2013
      • Explicit occlusion detection based deformable fitting for facial landmark localization
        [Yu, Xiang, Yang, Fei, Huang, Junzhou, Metaxas, DimitrisN.]. 1-6 [.] "IEEE".
      2013
      • Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction
        [Zhong, Lin, Zhang, Shaoting, Gao, Mingchen, Huang, Junzhou, Qian, Zhen, Metaxas, Dimitris, Axel, Leon]. 820-823 [.] "IEEE".
      2013
      • Is interactional dissynchrony a clue to deception? Insights from automated analysis of nonverbal visual cues
        [Yu, Xiang, Zhang, Shaoting, Yan, Zhennan, Yang, Fei, Huang, Junzhou, Dunbar, NorahE., Jensen, MatthewL., Burgoon, JudeeK., Metaxas, DimitrisN.]. 45(3), 492-506 [.]

      Journal Article 2013
      • Robust visual tracking using local sparse appearance model and k-selection
        [Liu, Baiyang, Huang, Junzhou, Kulikowski, Casimir, Yang, Lin]. 35(12), 2968-2981 [.]
      2013
      • 3D anatomical shape atlas construction using mesh quality preserved deformable models
        [Zhang, Shaoting, Zhan, Yiqiang, Cui, Xinyi, Gao, Mingchen, Huang, Junzhou, Metaxas, Dimitris]. 117(9), 1061-1071 [.]

      Conference Proceeding 2012
      • Compressive sensing MRI with wavelet tree sparsity
        [Chen, Chen, Huang, Junzhou]. 1115-1123 [.]
      2012
      • Accelerated parallel magnetic resonance imaging with combined gradient and wavelet sparsity
        [Chen, Chen, Huang, Junzhou, Leon, A.].
      2012
      • Background Subtraction Using Group Sparsity and Low Rank Constraint
        [Cui, Xinyi, Huang, Junzhou, Zhang, Shaoting, Metaxas, Dimitris].
      2012
      • Simplified labeling process for medical image segmentation
        [Gao, Mingchen, Huang, Junzhou, Huang, Xiaolei, Zhang, Shaoting, Metaxas, DimitrisN.]. 387-394 [.] "Springer".
      2012
      • The benefit of tree sparsity in accelerated MRI
        [Chen, Chen, Huang, Junzhou].
      2012
      • Robust eyelid tracking for fatigue detection
        [Yang, Fei, Yu, Xiang, Huang, Junzhou, Yang, Peng, Metaxas, Dimitris]. 1829-1832 [.] "IEEE".
      2012
      • Robust face tracking with a consumer depth camera
        [Yang, Fei, Huang, Junzhou, Yu, Xiang, Cui, Xinyi, Metaxas, Dimitris]. 561-564 [.] "IEEE".
      2012
      • Learning active facial patches for expression analysis
        [Zhong, Lin, Liu, Qingshan, Yang, Peng, Liu, Bo, Huang, Junzhou, Metaxas, DimitrisN.]. 2562-2569 [.] "IEEE".
      2012
      • Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation
        [Huang, Junzhou, Yang, Fei]. 968-971 [.] "IEEE".
      2012
      • Left endocardium segmentation using spatio-temporal Metamorphs
        [Cui, Xinyi, Zhang, Shaoting, Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN., Axel, Leon]. 226-229 [.] "IEEE".

      Journal Article 2012
      • Automatic image annotation and retrieval using group sparsity
        [Zhang, Shaoting, Huang, Junzhou, Li, Hongsheng, Metaxas, DimitrisN.]. 42(3), 838-849 [.]
      2012
      • Towards robust and effective shape modeling: Sparse shape composition
        [Zhang, Shaoting, Zhan, Yiqiang, Dewan, Maneesh, Huang, Junzhou, Metaxas, DimitrisN., Zhou, XiangSean]. 16(1), 265-277 [.]

      Journal Article 2011
      • Composite splitting algorithms for convex optimization
        [Huang, Junzhou, Zhang, Shaoting, Li, Hongsheng, Metaxas, Dimitris]. 115(12), 1610-1622 [.]
      2011
      • Learning with structured sparsity
        [Huang, Junzhou, Zhang, Tong, Metaxas, Dimitris]. 12(Nov), 3371-3412 [.]
      2011
      • Efficient MR image reconstruction for compressed MR imaging
        [Huang, Junzhou, Zhang, Shaoting, Metaxas, Dimitris]. 15(5), 670-679 [.]
      2011
      • Robust mesh editing using Laplacian coordinates
        [Zhang, Shaoting, Huang, Junzhou, Metaxas, DimitrisN.]. 73(1), 10-19 [.]

      Conference Proceeding 2011
      • A 3D Laplacian-driven parametric deformable model
        [Shen, Tian, Huang, Xiaolei, Li, Hongsheng, Kim, Edward, Zhang, Shaoting, Huang, Junzhou]. 279-286 [.] "IEEE".
      2011
      • On exploring sparsity in widely separated MIMO radar
        [Petropulu, AthinaP., Yu, Yao, Huang, Junzhou]. 1496-1500 [.] "IEEE".
      2011
      • Optimal object matching via convexification and composition
        [Li, Hongsheng, Huang, Junzhou, Zhang, Shaoting, Huang, Xiaolei]. 33-40 [.] "IEEE".
      2011
      • 3D segmentation of rodent brain structures using hierarchical shape priors and deformable models
        [Zhang, Shaoting, Huang, Junzhou, Uzunbas, Mustafa, Shen, Tian, Delis, Foteini, Huang, Xiaolei, Volkow, Nora, Thanos, Panayotis, Metaxas, DimitrisN.]. 611-618 [.] "Springer".
      2011
      • Deformable segmentation via sparse shape representation
        [Zhang, Shaoting, Zhan, Yiqiang, Dewan, Maneesh, Huang, Junzhou, Metaxas, DimitrisN., Zhou, XiangSean]. 451-458 [.] "Springer".
      2011
      • Sparse shape composition: A new framework for shape prior modeling
        [Zhang, Shaoting, Zhan, Yiqiang, Dewan, Maneesh, Huang, Junzhou, Metaxas, DimitrisN., Zhou, XiangSean]. 1025-1032 [.] "IEEE".
      2011
      • 4D cardiac reconstruction using high resolution CT images
        [Gao, Mingchen, Huang, Junzhou, Zhang, Shaoting, Qian, Zhen, Voros, Szilard, Metaxas, Dimitris, Axel, Leon]. 153-160 [.]
      2011
      • Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.
        [Zhang, Shaoting, Uzunbas, MustafaGkhan, Yan, Zhennan, Gao, Mingchen, Huang, Junzhou, Metaxas, DimitrisN., Axel, Leon]. 88-94 [.] "Springer".
      2011
      • 3D segmentation of rodent brain structures using active volume model with shape priors
        [Zhang, Shaoting, Huang, Junzhou, Uzunbas, Mustafa, Shen, Tian, Delis, Foteini, Huang, Xiaolei, Volkow, Nora, Thanos, Panayotis, Metaxas, Dimitris]. 433-436 [.] "IEEE".
      2011
      • Eye localization through multiscale sparse dictionaries
        [Yang, Fei, Huang, Junzhou, Yang, Peng, Metaxas, Dimitris]. 514-518 [.] "IEEE".
      2011
      • Group sparsity based classification for cervigram segmentation
        [Yu, Yang, Huang, Junzhou, Zhang, Shaoting, Restif, Christophe, Huang, Xiaolei, Metaxas, Dimitris]. 1425-1429 [.] "IEEE".
      2011
      • Sparse shape registration for occluded facial feature localization
        [Yang, Fei, Huang, Junzhou, Metaxas, Dimitris]. 272-277 [.] "IEEE".

      Book Chapter 2011
      • Integrating shape and texture in 3D deformable models: from Metamorphs to Active Volume Models
        [Shen, Tian, Zhang, Shaoting, Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN.]. 1-31 [.] "Springer".

      Conference Proceeding 2010
      • Fast optimization for mixture prior models
        [Huang, Junzhou, Zhang, Shaoting, Metaxas, Dimitris]. 607-620 [.]
      2010
      • Robust and fast collaborative tracking with two stage sparse optimization
        [Liu, Baiyang, Yang, Lin, Huang, Junzhou, Meer, Peter, Gong, Leiguang, Kulikowski, Casimir]. 624-637 [.]
      2010
      • Automatic image annotation using group sparsity
        [Zhang, Shaoting, Huang, Junzhou, Huang, Yuchi, Yu, Yang, Li, Hongsheng, Metaxas, DimitrisN.]. 3312-3319 [.] "IEEE".
      2010
      • Discriminative sparse representations for cervigram image segmentation
        [Zhang, Shaoting, Huang, Junzhou, Metaxas, Dimitris, Wang, Wei, Huang, Xiaolei]. 133-136 [.] "IEEE".
      2010
      • Cervigram image segmentation based on reconstructive sparse representations.
        [Zhang, Shaoting, Huang, Junzhou, Wang, Wei, Huang, Xiaolei, Metaxas, DimitrisN.]. 762313 [.]

      Journal Article 2010
      • The benefit of group sparsity
        [Huang, Junzhou, Zhang, Tong]. 38(4), 1978-2004 [.]

      Conference Proceeding 2009
      • Learning with dynamic group sparsity
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 64-71 [.] "IEEE".
      2009
      • Learning with Structured Sparsity
        [Huang, Junzhou].

      Conference Proceeding 2008
      • Active volume models with probabilistic object boundary prediction module
        [Shen, Tian, Zhu, Yaoyao, Huang, Xiaolei, Huang, Junzhou, Metaxas, Dimitris, Axel, Leon]. 331-341 [.]
      2008
      • Tag separation in cardiac tagged MRI
        [Huang, Junzhou, Qian, Zhen, Huang, Xiaolei, Metaxas, Dimitris, Axel, Leon].
      2008
      • Simultaneous image transformation and sparse representation recovery
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 1-8 [.] "IEEE".

      Conference Proceeding 2007
      • Adaptive metamorphs model for 3D medical image segmentation
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN., Axel, Leon]. 302-310 [.] "Springer".
      2007
      • Optimization and learning for registration of moving dynamic textures
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 1-8 [.] "IEEE".
      2007
      • Dynamic texture based heart localization and segmentation in 4-d cardiac images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Axel, Leon]. 852-855 [.] "IEEE".

      Conference Proceeding 2006
      • 3D tumor shape reconstruction from 2D bioluminescence images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Banerjee, Debarata]. 606-609 [.] "IEEE".
      2006
      • 3D Tumor Shape Reconstruction from 2D Bioluminescence Images and Registration with CT Images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Banerjee, Debarata]. 99-105 [.]

      Journal Article 2005
      • Phase correlation based iris image registration model
        [Huang, Junzhou, Tan, Tieniu, Ma, Li, Wang, Yunhong, Huang, Junzhou]. 20(3), 419-425 [.]

      Conference Proceeding 2004
      • Noise removal and impainting model for iris image
        [Huang, Junzhou, Wang, Yunhong, Cui, Jiali, Tan, Tieniu]. 2, 869-872 [.] "IEEE".
      2004
      • A new iris segmentation method for recognition
        [Huang, Junzhou, Wang, Yunhong, Tan, Tieniu, Cui, Jiali]. 3, 554-557 [.] "IEEE".
      2004
      • An iris image synthesis method based on PCA and super-resolution
        [Cui, Jiali, Wang, Yunhong, Huang, Junzhou, Tan, Tieniu, Sun, Zhenan]. 4, 471-474 [.] "IEEE".
      2004
      • Iris model based on local orientation description
        [Huang, Junzhou, Ma, Li, Wang, Yunhong, Tan, Tieniu]. 954-959 [.]

      Conference Proceeding 2003
      • Learning Based Resolution Enhancement of Iris Images.
        [Huang, Junzhou, Ma, Li, Tan, Tieniu, Wang, Yunhong]. 1-10 [.]

Presentations

    • October  2016
      Huang, Junzhou, "Clinical Imaging Biomarker Discovery for Survival Prediction on Lung Cancer Imaging Genetic Data", Athens, Greece. (October 1, 2016).
    • July  2016
      Huang, Junzhou, "Big Imaging-Genomics Data Analytics for Clinical Outcome Prediction", Las Vegas, USA. (July 1, 2016).
    • June  2016
      Huang, Junzhou, "Biomarker Discovery from Histopathology Images for Clinical Outcome Prediction", Ra- diology and Imaging Sciences, National Institutes of Health, , Bethesda, Maryland, USA. (June 1, 2016).
    • June  2016
      Huang, Junzhou, "Multimodal Biomarker Discovery from Imaging Genomic Data", School of Medicine, University of Maryland, Baltimore, USA. (June 1, 2016).
    • January  2016
      Huang, Junzhou, "Integration of Pathological Images and Cell Profiling Data for Clinical Outcome Predic- tion", National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA. (January 1, 2016).
    • November  2015
      Huang, Junzhou, "Big Image-Omics Data Analytics for Clinical Outcome Prediction", Department of Clini- cal Science, University of Texas Southwestern Medical Center, Dallas, TX, USA. (November 1, 2015).
    • September  2014
      Huang, Junzhou, "Recent Algorithm Development in Diffusion Optical Imaging", Department of Bioengineering,, University of Texas at Arlington, TX, USA. (September 1, 2014).
    • June  2014
      Huang, Junzhou, "Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured S- parsity Reconstruction”", Columbus, Ohio, USA. (June 1, 2014).
    • May  2014
      Huang, Junzhou, "Multichannel Compressed Sensing with Forest Sparsity", San Diego, CA, USA. (May 1, 2014).
    • March  2014
      Huang, Junzhou, "O(1) Algorithms for Overlapping Group Sparsity", Houston, TX. (March 1, 2014).
    • March  2013
      Huang, Junzhou, "Low-frequency Energy Disaggregation", Samsung Research America, Dallas, TX, USA. (March 1, 2013).
    • August  2012
      Huang, Junzhou, "Biomedical Imaging and Learning: When Statistical Learning Met Bio-Applications", Department of Bioengineering, University of Texas at Arlington, TX, USA. (August 1, 2012).
    • May  2012
      Huang, Junzhou, "Fast Composite Splitting Algorithm for Linear Composite Regularization", Philadelphia, PA. (May 1, 2012).
    • April  2012
      Huang, Junzhou, "Structured Sparsity: When Statistical Learning Met Signal Processing", Department of Electrical Engineering, University of Texas at Arlington, TX, USA. (April 1, 2012).
    • August  2011
      Huang, Junzhou, "Sparsity and Deformable Models for Improved Medical Imaging and Diagnosis", San Diego, CA, USA, . (August 1, 2011).
    • April  2011
      Huang, Junzhou, "Sparsity Techniques and Their Applications", NAVTEQ, Chicago, IL, USA. (April 1, 2011).
    • March  2011
      Huang, Junzhou, "Sparsity: From Theory to Applications in Machine Learning and Medical Imaging", Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA. (March 1, 2011).
    • March  2011
      Huang, Junzhou, "Structured Sparsity and Its Applications on Medical Imaging and Machine Vision", Department of Computer Science and Engineering, University of Texas at Arlington, TX, . (March 1, 2011).
    • October  2010
      Huang, Junzhou, "Structured Sparsity and Its Applications", Hawthorne NY, USA. (October 1, 2010).
    • September  2010
      Huang, Junzhou, "Efficient MR Image Reconstruction for Compressed MR Imaging", Beijing, China. (September 1, 2010).
    • September  2010
      Huang, Junzhou, "Structure Sparsity for Dynamic Data Analysis", ExxonMobil Corporate Strategic Re- search,, NJ, USA. (September 1, 2010).
    • August  2010
      Huang, Junzhou, "Sparse Learning for Biomedical Imaging and Informatics", Siemens Medical Solutions, Malvern, PA, USA. (August 1, 2010).
    • August  2010
      Huang, Junzhou, "Structured Sparsity and Its Applications on Biomedical Imaging Computer Vision", Siemens Corporate Research, Princeton, NJ, USA. (August 1, 2010).
    • November  2009
      Huang, Junzhou, "Sparse Learning and Beyonds", ”, Institute of Computing Technology, Chinese Academy of Science,, Beijing, China. (November 1, 2009).
    • November  2009
      Huang, Junzhou, "Structure Sparsity for Compressive Sensing", Institute of Electronics, Chinese Academy of Science, Beijing, China. (November 1, 2009).
    • October  2009
      Huang, Junzhou, "Learning With Dynamic Group Sparsity", Kyoto, Japan. (October 1, 2009).
    • June  2009
      Huang, Junzhou, "Learning With Structure Sparsity", Mon- treal, Canada. (June 1, 2009).
    • October  2007
      Huang, Junzhou, "Optimization and Learning for Registration of Moving Dynamic Textures", Rio de Janeiro, Brazil. (October 1, 2007).
    • April  2006
      Huang, Junzhou, "3D Tumor Shape Reconstruction from 2D Bioluminescence Images", Washington, USA. (April 1, 2006).
    • January  Unknown
      Huang, Junzhou, "Low-frequency Energy Disaggregation", Samsung Research America, Dallas, TX, USA. (January 1).

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.
    • Aug 2016 to July 2021 CAREER: Large Scale Learning for Complex Image-Omics Data Analytics sponsored by  - $420813
      Junzhou Huang (Funded)
    • June 2016 to Aug 2017 A Materials Genome Approach to Novel Environment-Friendly Magnets sponsored by  - $15000
      (Funded)
    • July 2017 to July 2020 RI: Small: Collaborative Research: A Topological Analysis of Uncertainly Representation in the Brain sponsored by  - $210000
      Junzhou Huang (Funded)
    • Oct 2017 to Sept 2018 RAPID: Collaborative: Data Driven Post-Disaster Waste and Debris Volume Predictions using Smartphone Photogrammetry App and Unmanned Aerial Vehicles sponsored by  - $34137
      (Funded)
    • Sept 2014 to Aug 2018 Statistical and Optimization Methods for Adaptive Interdisciplinary Pain Management sponsored by  - $374998
      (Funded)
    • Aug 2014 to July 2018 III: Small: Collaborative Research: Robust Materials Genome Data Mining Framework for Prediction and Guidance of Nanoparticle Synthesis sponsored by  - $250000
      Junzhou Huang (Funded)
    • Sept 2014 to Aug 2017 CI-P: Planning for SMART-MOVE: A Spatiotemporal Annotated Human Activity Repository for Advanced Motion Recognition and Analysis Research sponsored by  - $116000
      (Funded)
    • Aug 2014 to Aug 2016 Algorithm Development for Image Reconstruction and Data Analysis sponsored by  - $19124.5
      Junzhou Huang (Funded)
    • Aug 2012 to Aug 2017 Graduate Assistance in Areas of National Need - Educating Health Informatics Researchers at the Computer Science and Engineering Department of the University of Texas at Arlington sponsored by  - $544420
      (Funded)
    • June 2012 to May 2014 Structured Sparsity Based Compressive Sensing for Rapid Magnetic Resonance Imaging sponsored by  - $10000
      Junzhou Huang (Funded)
    • July 2013 to Aug 2016 Low-Frequency Energy Disaggregation via Hierarchical Learning sponsored by  - $100000
      Junzhou Huang (Funded)

Students Supervised

    • Present
      PHD STUDENTS Yeqing Li (08/2012 - 12/2015, next stop: Google) – Zheng Xu (08/2014 - present) – Jiawen Yao (08/2014 - present) – Ruoyu Li (08/2014 - present) – Sheng Wang (08/2015 - present) – Xinliang Zhu (08/2015 - present) – Zhifei Deng (08/2016 - present) – Mohammad Minhazul Haq (08/2016 - present) (Computer Science and Engineer)
      PhD students
    • Present
      CSE (Computer Science and Engineer)
    • Present
      – Chen Chen (01/2012 -12/2014, next stop: UIUC) – Dheeraj Ganti (01/2014 - 12/2015, next stop: Oracle) – Viswanathan Rajalingam (01/2015 - present) – Vivek Balaji (01/2015 - present) – Shirong Xue (08/2015 - present) – Ashwin Raju (01/2016 - present) – Saravanakumar Velayutham (01/2016 - present) – Kumar Jayaram Gayatri (06/2016 - present) – Arjun Punabhai Vekariya (06/2016 - present)
      Master Students With Thesis
    • Present
      – Hao Pan, Beijing Institute of Petrochemical Technology, Fall 2014 - Fall 2015 – Xiaoming Li, Zhejiang Sci-Tech University, Fall 2015 - Spring 2016 – Xiaoyan Wei, Hubei University of Economics, Fall 2015 - Fall 2016 – Longwen Gao, Fudan University, Fall 2014 - Spring 2015
      PostDoc and Visiting Scholar

Courses

      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2019
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2019
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2019
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2019
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2019
      • CSE 7399-003 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Summer - Eleven Week - 2019
      • CSE 6399-003 DISSERTATION
        (Course Id: 102610)
        Spring - Regular Academic Session - 2019
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2019
      • CSE 6999-003 DISSERTATION
        (Course Id: 102619)
        Spring - Regular Academic Session - 2019
      • CSE 5398-003 MASTER'S THESIS I
        (Course Id: 102566)
        Spring - Regular Academic Session - 2019
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2019
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2019
      • CSE 6399-003 DISSERTATION
        (Course Id: 102610)
        Fall - Regular Academic Session - 2018
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2018
      • CSE 7399-003 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2018
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2018
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2018
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2018
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Summer - Eleven Week - 2018
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2018
      • CSE 6999-003 DISSERTATION
        (Course Id: 102619)
        Spring - Regular Academic Session - 2018
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2018
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2018
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2017
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2017
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2017
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Summer - Eleven Week - 2017
      • CSE 4391-006 INDIVIDUAL PROJECTS
        (Course Id: 102488)
        Spring - Regular Academic Session - 2017
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2017
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2017
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2017
      • CSE 6392-001 SPECIAL TOPICS
        (Topic: Scalable Searching | Course Id: 102608)
        Spring - Regular Academic Session - 2017
      • CSE 5393-003 DIRECTED STUDY IN COMPUTER SCI
        (Course Id: 102562)
        Fall - Regular Academic Session - 2016
      • CSE 5311-001 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2016
      • CSE 5311-002 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2016
      • CSE 5398-003 MASTER'S THESIS I
        (Course Id: 102566)
        Fall - Regular Academic Session - 2016
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2016
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2016
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2016
      • CSE 5393-333 DIRECTED STUDY IN COMPUTER SCI
        (Course Id: 102562)
        Summer - Five Week - Second - 2016
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2016
      • CSE 5393-003 DIRECTED STUDY IN COMPUTER SCI
        (Course Id: 102562)
        Spring - Regular Academic Session - 2016
      • CSE 5311-003 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Spring - Regular Academic Session - 2016
      • CSE 5398-003 MASTER'S THESIS I
        (Course Id: 102566)
        Spring - Regular Academic Session - 2016
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2016
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2016
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2016
      • CSE 6392-001 SPECIAL TOPICS
        (Topic: Scalable search for Big Data | Course Id: 102608)
        Spring - Regular Academic Session - 2016
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2015
      • CSE 5311-002 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2015
      • CSE 5398-003 MASTER'S THESIS I
        (Course Id: 102566)
        Fall - Regular Academic Session - 2015
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2015
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2015
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2015
      • CSE 5393-003 DIRECTED STUDY IN COMPUTER SCI
        (Course Id: 102562)
        Summer - Eleven Week - 2015
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2015
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Spring - Regular Academic Session - 2015
      • CSE 5393-003 DIRECTED STUDY IN COMPUTER SCI
        (Course Id: 102562)
        Spring - Regular Academic Session - 2015
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2015
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2015
      • CSE 6392-001 SPECIAL TOPICS
        (Topic: Scalable search for Big Data | Course Id: 102608)
        Spring - Regular Academic Session - 2015
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2014
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2014
      • CSE 5398-003 MASTER'S THESIS I
        (Course Id: 102566)
        Fall - Regular Academic Session - 2014
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2014
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Summer - Eleven Week - 2014
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2014
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2014
      • CSE 6392-001 SPECIAL TOPICS
        (Course Id: 102608)
        Spring - Regular Academic Session - 2014
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2013
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2013
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2013
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Summer - Eleven Week - 2013
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Spring - Regular Academic Session - 2013
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2013
      • CSE 6392-001 SPECIAL TOPICS
        (Course Id: 102608)
        Spring - Regular Academic Session - 2013
      • CSE 2312-002 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2012 Download Syllabus
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2012
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2012
      • CSE 5392-001 TOPICS IN COMPUTER SCIENCE
        (Topic: Biomed Imag and Health Informa | Course Id: 102561)
        Spring - Regular Academic Session - 2012 Download Syllabus
      • CSE 2312-002 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2011 Download Syllabus

Service to the Profession

    • Jan 2016 to  Present
      Reviewer, Grant Proposal
      National Science Foundation, Smart and Connected Health
      2016
    • Jan 2015 to  Present
      Reviewer, Grant Proposal
      National Science Foundation, Information Integration and Informatics
      2015
    • Jan 2015 to  Present
      Reviewer, Grant Proposal
      National Science Foundation, Small Business Innovation Research
      2015
    • June 2012 to  Present
      Reviewer, Journal Article
      International Conference on Machine Learning
      2012-2016
    • Sept 2011 to  Present
      Reviewer, Journal Article
      ACM Transactions on Multimedia Computing, Communications and Applications,
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Annals of Statistics,
    • Sept 2011 to  Present
      Reviewer, Conference Paper
      Annual Conference on Neural Information Processing Systems
      2011-2016
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Journal of Computational Statistics and Data Analysis,
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Journal of Computer Vision and Image Understanding,
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Journal of Machine Learning Research,
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Journal of Signal Processing,
    • Sept 2011 to  Present
      Editor, Associate Editor
      Journal of Visual Communication and Image Representation
    • Sept 2011 to  Present
      Reviewer, Journal Article
      SIAM Journal on Image Science,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transaction on Image Processing,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transaction on Multimedia,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transaction on Signal Processing,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transactions on Biomedical Engineering
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transactions on Circuits and Systems for Video Technology,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transactions on Knowledge and Data Engineering,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transactions on Pattern Analysis and Machine Intelligence,
    • Jan 2011 to  Present
      Reviewer, Journal Article
      Journal of Medical Image Analysis,
    • June 2008 to  Present
      Conference Program Committee or Reviewer
      IEEE Conference on Computer Vision and Pattern Recognition
      2008
    • Sept 2017 to  Sept 2017
      Session Chair (Quebec, Canada)
      The 20th International Conference on Medical Image Computing and Computer Assisted Intervention
    • Feb 2017 to  Feb 2017
      Session Chair (San Francisco,, California, USA)
      The 30th AAAI Conference on Artificial Intelligence
    • Jan 2015 to  Dec 2015
      Reviewer, Grant Proposal
      National Science Foundation, Smart and Connected Health
      2015
    • Oct 2015 to  Oct 2015
      Session Chair (Munich, Germany)
      The 18th International Conference on Medical Image Computing and Computer Assisted Intervention,
      October 2015
    • Aug 2014 to  Aug 2014
      Session Chair (Stockholm, Sweden)
      The 22th International Conference on Pattern Recognition
      August 2014
    • Oct 2012 to  Oct 2012
      Session Chair (Nice, France)
      The MICCAI Workshop on Sparsity Techniques in Medical Imaging
      October2012
    • May 2011 to  May 2011
      Session ChairNew York, U.S.A)
      The Sixth International Conference on Functional Imaging and Modeling of the Heart,
      may 2011
    • Sept 2010 to  Sept 2010
      Reviewer, Conference Paper
      European Conference on Computer Vision
      2010
    • Jan 2007 to  Dec 2009
      Conference Program Committee or Reviewer
      International Conference on Computer Vision
      2007-2009

Service to the Community

    • Sept 2014 to  Present
      Member (Arlington, Texas, U.S.A)
      Quality Assurance Committees
      (Fall 2014-now)
    • June 2016 to  July 2016
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Students,
    • July 2015 to  July 2015
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Students
    • Sept 2012 to  Aug 2014
      Member
      Ph.D. Admission Committee
      (Fall 2012-Spring 2014),
    • July 2014 to  July 2014
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Girls
    • July 2014 to  July 2014
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Students,
      July 2014
    • July 2013 to  July 2013
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Girls
    • June 2013 to  June 2013
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Students,
    • Sept 2011 to  Aug 2012
      Member (Arlington, Texas, U.S.A)
      Enrollments ad hoc Committee
      (Fall 2011- Spring 2012)
    • Sept 2011 to  Aug 2012
      Member
      Member of the Master Admission Committee
      (Fall 2011- Spring 2012)