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Junzhou Huang

[Junzhou Huang]

Associate Professor, Computer Science and Engineering
Last Updated: June 14, 2021
about me

Research Interests

Research Interests
Machine Learning, Computer Vision, Data Mining, Medical Image Informatics and Big Data Analytic

Research Keywords

Research Keywords
Sparse Learning, Deep Graph Learning, Image-Omics Data, Survival Prediction

Teaching Interests

Teaching Interests
Design and Analysis of Algorithms; Computer Organization and Assembly Language Programming; Machine Learning; Data Mining

Biography

Biography

Junzhou Huang is an Associate Professor in the Computer Science and Engineering department at the University of Texas at Arlington. He received the B.E. degree from Huazhong University of Science and Technology, Wuhan, China, the M.S. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, and the Ph.D. degree in Computer Science at Rutgers, The State University of New Jersey. His major research interests include machine learning, computer vision and imaging informatics. He was selected as one of the 10 emerging leaders in multimedia and signal processing by the IBM T.J. Watson Research Center in 2010. His work won the MICCAI Young Scientist Award 2010, the FIMH Best Paper Award 2011, the MICCAI Young Scientist Award Finalist 2011, the STMI Best Paper Award 2012, the NIPS Best Reviewer Award 2013, the MICCAI Best Student Paper Award Finalist 2014 and the MICCAI Best Student Paper Award 2015. He received the NSF CAREER Award in 2016. He enjoys to develop efficient algorithms with nice theoretical guarantees to solve practical problems involved large scale data.

Education

Education

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

Appointments

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)
    • Sep  2016 NSF CAREER Award sponsored by National Science Foundation
    • Oct  2015 Best Student Paper Award sponsored by 18th International Conference on Medical Image Computing 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 Modeling 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 Computing and Computer Assisted Intervention (MICCAI)

News Articles

News Articles

    • June 2020 Eurek
      UTA teams with UT Southwestern on CPRIT-funded lung cancer project
    • Oct 2017 Eurek
      UTA researchers earn grant to help Texas city prioritize post-Harvey debris cleanup

    • Sept 2017 Eurekalert
    • Aug 2016 ACM TECHNEWS
    • Aug 2016 Eurek
      UTA engineering researcher to develop tools to better analyze complex patient data
    • Oct 2014 Euraka
      UT Arlington big data analytics could yield better treatment for pain management
    • Sept 2014 Eurek
      UT Arlington genomic data-mining framework to aid manufacturers discover desired materials

Support & Funding

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.
    • Mar 2019 to Feb 2022 Digital pathology analysis for lung cancer patient care sponsored by  -  $217397
      Junzhou Huang (Funded)
    • Aug 2016 to July 2021 CAREER: Large Scale Learning for Complex Image-Omics Data Analytics sponsored by  -  $535763
      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 2021 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  -  $19125
      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)

Publications


      2017
      • Book Chapter
        Accelerated Cell Detection with Sparse Convolution Kernels
        Deep Learning and Convolutional Neural Networks for Medical Image Computing, ISBN: 9783319429984, Springer, 2017.
        [Huang, Junzhou, Xu, Zheng ].

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

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

      2011
      • Book Chapter
        Integrating shape and texture in 3D deformable models: from Metamorphs to Active Volume Models
        Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Springer, 2010
        [Shen, Tian, Zhang, Shaoting, Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN.]. Multi Modality State-of-the-Art Medi- cal Image Segmentation and Registration Methodologies,. 1-31. "Springer".

      2020
      • Journal Article
        Improving Generative Adversarial Networks with Local Coordinate Coding
        [Cao, Jiezhang, Guo, Yong, Wu, Qingyao, Shen, Chunhua, Huang, Junzhou, Tan, Mingkui]. IEEE Transactions on Pattern Analysis and Machine Intelligence.
      • Journal Article
        Online Adaptive Asymmetric Active Learning with Limited Budgets
        [Zhang, Yifan, Zhao, Peilin, Niu, Shuaicheng, Wu, Qingyao, Cao, Jiezhang, Huang, Junzhou, Tan, Mingkui]. IEEE Transactions on Knowledge and Data Engineering.
      • Journal Article
        Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Networks
        [Yao, Jiawen, Zhu, Xinliang, Jonnagaddala, Jitendra , Hawkins, Nicholas , Huang, Junzhou, Tan, Mingkui]. Medical Image Analysis. 65,
      • Journal Article
        Nonparametric Topic Modeling with Neural Inference
        [Ning, Xuefei, Zheng, Yin, Jiang, Zhuxi, Wang, Yu, Yang, Huazhong, Huang, Junzhou, Zhao, Peilin]. Neurocomputing. 399, 296-306.
      • Journal Article
        Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
        [Zhang, Yifan, Wei, Ying, Wu, Qingyao, Zhao, Peilin, Niu, Shuaicheng, Huang, Junzhou, Tan, Mingkui]. IEEE Transactions on Image Processing. 29, 7834-7844.
      • Journal Article
        A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding
        [Chen, Xiaoshuang, Zheng, Yin, Zhao, Peilin, Jiang, Zhuxi, Ma, Wenye, Huang, Junzhou]. IEEE Transactions on Knowledge and Data Engineering. 32, 1036-1049.

      2019
      • Journal Article
        50 FPS Object-Level Saliency Detection via Maximally Stable Region
        [Huang, Xiaoming, Zheng, Yin, Huang, Junzhou, Zhang, Yu-Jin ]. IEEE Transactions on Image Processing. 29, 1384-1396.
      • Journal Article
        Weakly Supervised Mitosis Detection in Breast Histopathology Images Using Concentric Loss
        [Li, Chao, Wang, Xinggang, Liu, Wenyu, Lateckib, Longin Jan, Wang, Bo, Huang, Junzhou]. Medical Image Analysis. 53, 165-178.
      • Journal Article
        Adaptive Cost-sensitive Online Classification
        [Zhao, Peilin, Zhang, Yifan, Wu, Min, Hoi, Steven C. H., Tan, Mingkui , Huang, Junzhou]. IEEE Transactions on Knowledge and Data Engineering. 31(2), 214-228.

      2018
      • Journal Article
        PRIM: An Efficient Preconditioning Iterative Reweighted Least Squares Method for Parallel Brain MRI Reconstruction
        Neuroinformatics, Volume 16, Issue 3-4, pp. 425-430, October 2018
        [Xu, Zheng, Wang, Sheng, Li, Yeqing, Zhu, Feiyun, Huang, Junzhou]. Neuroinformatics. 16(3-4), 425-430.
        https://link.springer.com/article/10.1007%2Fs12021-017-9354-9
      • Journal Article
        Hierarchical Sparse Representation for Robust Image Registration
        IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 40, Issue 9, pp.2151-2164, September 2018
        [Li, Yeqing, Chen, Chen, Yang, Fei, Huang, Junzhou]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(9), 2151-2164.
        https://ieeexplore.ieee.org/document/8024004
      • Journal Article
        A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation
        IEEE Signal Processing Letters, Volume 25, Issue 8, pp. 1126-1130, August 2018
        [Huang, Xiaoming, Zheng, Yin, Huang, Junzhou, Zhang, Yujin]. IEEE Signal Processing Letters. 25(8), 1126-1130.
      • Journal Article
        Sub-Selective Quantization for Learning Binary Code in Large-Scale Image Search
        IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 40, Issue 6, pp. 1526-1532, June 2018
        [Li, Yeqing, Liu, Wei, Huang, Junzhou]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6), 1526-1532.
      • Journal Article
        Sub-Selective Quantization for Learning Binary Code in Large-Scale Image Search
        Yeqi
        [Li, Yeqing, Liu, Wei, ]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6), 1526-1532.
      • Journal Article
        A Simple Primal-dual Algorithm for Nuclear Norm and Total Variation Regularization
        Neurocomputing, Volume 289, pp. 1-12, May 2018
        [Niu, Zhibin, Yao, Jiawen, Xu, Zheng, Huang, Junzhou, Zhang, Benxin]. Neurocomputing. 289, 1-12.
      • Journal Article
        An Efficient Algorithm for Dynamic MRI Using Low-rank and Total Variation Regularization
        Medical Image Analysis, Volume 44, pp. 14-27, February 2018
        [Yao, Jiawen, Xu, Zheng, Huang, Xiaolei, Huang, Junzhou]. Medical Image Analysis. 44, 14-27.

      2017
      • Journal Article
        Specific and Intrinsic Sequence Patterns Extracted by Deep Learning from Intra-Protein Binding and Non-binding Peptide Fragments
        Scientific Reports, November 2017.
        [Wang, Yuhong, Huang, Junzhou, Li, Wei, Wang, Sheng, Ding, Chuanfan]. Scientific Reports.
        https://www.nature.com/articles/s41598-017-14877-w
      • Journal Article
        Automatic Extraction of Cell Nuclei from H&E-stained Histopathological Images
        Journal of Medical Imaging, Volume 4, pp. 4-12, June 2017.
        [Luo, Xin, Yi, Faliu, Huang, Junzhou, Yang, Lin, Xie, Yang, Xiao, Guanghua]. Journal of Medical Imaging. 4, 4-12.
      • Journal Article
        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]. Journal of Thoracic Oncology. 12(3), 501-509.
      • Journal Article
        TENDER: Tensor non-local deconvolution enabled radiation reduction in CT perfusion
        [Fang, Ruogu, Gupta, Ajay, Huang, Junzhou, Sanelli, Pina]. Neurocomputing. 229, 13-22.

      2016
      • Journal Article
        Scalable histopathological image analysis via supervised hashing with multiple features
        [Jiang, Menglin, Zhang, Shaoting, Huang, Junzhou, Yang, Lin, Metaxas, DimitrisN.]. Medical Image Analysis. 34, 3-12.
      • Journal Article
        Face landmark fitting via optimized part mixtures and cascaded deformable model
        [Yu, Xiang, Huang, Junzhou, Zhang, Shaoting, Metaxas, DimitrisN.]. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(11), 2212-2226.
      • Journal Article
        Real time dynamic MRI by exploiting spatial and temporal sparsity
        [Chen, Chen, Li, Yeqing, Axel, Leon, Huang, Junzhou]. Magnetic Resonance Imaging. 34(4), 473-482.

      2015
      • Journal Article
        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]. Computerized Medical Imaging and Graphics. 46, 47-55.
      • Journal Article
        Tissue-specific sparse deconvolution for brain CT perfusion
        [Fang, Ruogu, Jiang, Haodi, Huang, Junzhou]. Computerized Medical Imaging and Graphics. 46, 64-72.
      • Journal Article
        SIRF: simultaneous satellite image registration and fusion in a unified framework
        [Chen, Chen, Li, Yeqing, Liu, Wei, Huang, Junzhou]. IEEE Transactions on Imaging Processing. 24(11), 4213-4224.
      • Journal Article
        Learning multiscale active facial patches for expression analysis
        [Zhong, Lin, Liu, Qingshan, Yang, Peng, Huang, Junzhou, Metaxas, DimitrisN.]. IEEE Transaction on Cybernetics. 45(8), 1499-1510.
      • Journal Article
        From circle to 3-sphere: Head pose estimation by instance parameterization
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Elgammal, Ahmed, Metaxas, Dimitris]. Computer Vision and Image Understanding. 136, 92-102.

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

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

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

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

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

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

      2020
      • Conference Proceeding
        Adversarial Sparse Transformer for Time Series Forecasting
        [Wu, Sifan, Xiao, Xi, Ding, Qianggang, Zhao, Peilin, Wei, Ying, Huang, Junzhou]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        Deep Multimodal Fusion by Channel Exchanging
        [Wang, Yikai, Huang, Wenbing, Sun, Fuchun, Xu, Tingyang, Rong, Yu, Huang, Junzhou]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        Dirichlet Graph Variational Autoencoder
        [Li, Jia, Yu, Jianwei, Li, Jiajin, Zhang, Honglei, Zhao, Kangfei, Rong, Yu, Cheng, Hong, Huang, Junzhou]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        GROVER: Self-Supervised Message Passing Transformer on Large- scale Molecular Graphs
        [Rong, Yu, Bian, Yatao, Xu, Tingyang, Xie, Weiyang, Wei, Ying, Huang, Wenbing, Huang, Junzhou]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        RetroXpert: Decompose Retrosynthesis Prediction like A Chemist
        [Yan, Chaochao, Ding, Qianggang, Zhao, Peilin, Zheng, Shuangjia, Yang, Jingyu, Yu, Yang, Huang, Junzhou]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        Revisiting Parameter Sharing for Automatic Neural Channel Number Search
        [Wang, Jiaxing, Bai, Haoli, Wu, Jiaxiang, Shi, Xupeng, Huang, Junzhou, King, Irwin, Lyu, Michael, Cheng, Jian]. "In Proc. of the 34th Annual Conference on Neural Information Processing Systems, NeurIPS'20, Vancouver, Canada, December 2020".
      • Conference Proceeding
        Asynchronous in Parallel Detection and Tracking (AIPDT): Real-time Robust Polyp Detection
        [Zhang, Zijian, Shang, Hong, Zheng, Han, Wang, Xiaoning, Wang, Jiajun, Sun, Zhongqian, Huang, Junzhou, Yao, Jianhua]. "In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'20, Lima, Peru, October 2020".
      • Conference Proceeding
        Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
        [Raju, Ashwin, Yao, Jiawen, Haq, Mohammad Minhazul , Jonnagaddala, Jitendra , Huang, Junzhou]. "In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'20, Lima, Peru, October 2020".
      • Conference Proceeding
        User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
        [Raju, Ashwin, Ji, Zhanhexuan, Cheng, Chi Tung, Cai, Jinzheng, Huang, Junzhou, Xiao, Jing, Lv, Le, Liao, ChienHung, Harrison, Adam ]. "In Proc. of the 22nd Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'20, Lima, Peru, October 2020".
      • Conference Proceeding
        Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation
        [Yan, Chaochao, Wang, Sheng, Yang, Jinyu, Xu, Tingyang, Huang, Junzhou]. "In Proc. of the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB'20, September 2020".
      • Conference Proceeding
        Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
        [Raju, Ashwin, Cheng, Chien-Hung, Huo, Yuankai, Cai, Jinzheng, Huang, Junzhou, Xiao, Jing, Lv, Le, Liao, CheinHung, Harrison, Adam ]. "In Proc. of The 16th European Conference on Computer Vision, ECCV'20, Glasgow, United Kingdom, August 2020".
      • Conference Proceeding
        Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
        [Yang, Jinyu, An, Weizhi, Wang, Sheng, Zhu, Xinliang, Yan, Chaochao, Huang, Junzhou]. "In Proc. of The 16th European Conference on Computer Vision, ECCV'20, Glasgow, United Kingdom, August 2020".
      • Conference Proceeding
        TranSlider: Transfer Ensemble Learning from Exploitation to Exploration
        [Zhong, Kuo, Wei, Ying, Yuan, Chun, Bai, Haoli, Huang, Junzhou]. "In Proc. of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD'20, San Diego, CA, USA, August 2020".
      • Conference Proceeding
        Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
        [Guo, Yong, Chen, Yaofo, Zheng, Yin, Zhao, Peilin, Chen, Jian, Huang, Junzhou, Tan, Mingkui]. "In Proc. of International Conference on Machine Learning, ICML'20, Vienna, Austria, July 2020".
      • Conference Proceeding
        Adversarial Domain Adaptation for Cell Segmentation
        [Haq, Mohammad Minhazul , Huang, Junzhou]. "In Proc. of The Conference on Medical Imaging with Deep Learning, Montreal, Canada, July 2020".
      • Conference Proceeding
        Bagging MSA Learning: Enhancing Low-quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction
        [Guo, Yuzhi, Wu, Jiaxiang, Ma, Hehuan, Wang, Sheng, Huang, Junzhou]. "In Proc. of The 24th International Conference on Research in Computational Molecular Biology, RECOMB'20, Padova, Italy, May 2020".
      • Conference Proceeding
        Adversarial Attack on Community Detection by Hiding Individuals
        [Li, Jia, Zhang, Honglei, Han, Zhichao, Rong, Yu, Cheng, Hong, Huang, Junzhou]. "In Proc. of International World Wide Web Conference, WWW'20, Taibei, Tanwan, China, April 2020".
      • Conference Proceeding
        Graph Representation Learning via Graphical Mutual Information Maximization
        [Peng, Zhen, Huang, Wenbing, Luo, Minnan, Zheng, Qinghua, Rong, Yu, Xu, Tingyang, Huang, Junzhou]. "In Proc. of International World Wide Web Conference, WWW'20, Taibei, Tanwan, China, April 2020".
      • Conference Proceeding
        Supervised Augmentation: Leverage Strong Annotation for Limited Data
        [Zheng, Han, Shan, Hong, Sun, Zhongqian, Fu, Xinghui, Yao, Jiahua, Huang, Junzhou]. "In Proc. of The Sixteenth IEEE International Symposium on Biomedical Imaging, ISBI'20, Coralville, IA, April 2020".
      • Conference Proceeding
        DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
        [Rong, Yu, Huang, Wenbing, Xu, Tingyang, Huang, Junzhou]. "In Proc. of International Conference on Learning Representations, ICLR'20, Addis Ababa, Ethiopia, April 2020".
      • Conference Proceeding
        Towards Fast Adaptation of Neural Architectures with Meta Learning
        [Lian, Dongze, Zheng, Yin, Xu, Yintao, Lu, Yanxiong, Lin, Leyu, Zhao, Peilin, Huang, Junzhou]. "In Proc. of International Conference on Learning Representations, ICLR'20, Addis Ababa, Ethiopia, April 2020".
      • Conference Proceeding
        A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
        [Chang, Heng, Rong, Yu, Xu, Tingyang, Huang, Wenbing, Zhang, Honglei, Cui, Peng, Zhu, Wenwu, Huang, Junzhou]. "In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI'20, NYC, New York, USA, February 2020".
      • Conference Proceeding
        Graph Few-shot Learning via Knowledge Transfer
        [Yao, Huaxiu, Zhang, Chuxu, Wei, Ying, Jiang, Meng, Wang, Suhang, Huang, Junzhou, Chawla, Nitesh , Li, Zhenhui]. "In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI'20, NYC, New York, USA, February 2020".
      • Conference Proceeding
        Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection
        [Yu, Zeping, Cao, Rui, Tang, Qiyi, Nie, Sen, Huang, Junzhou, Wu, Shi]. "In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI'20, NYC, New York, USA, February 2020".
      • Conference Proceeding
        Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
        [Bian, Tian, Xiao, Xi, Xu, Tingyang, Zhao, Peilin, Huang, Wenbing, Rong, Yu, Huang, Junzhou]. "In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI'20, NYC, New York, USA, February 2020".
      • Conference Proceeding
        Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses
        [Shi, Xiaoming, Hu, Haifeng, Che, Wanxiang, Sun, Zhongqian, Liu, Ting, Huang, Junzhou]. "In Proc. of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI'20, NYC, New York, USA, February 2020".

      2019
      • Conference Proceeding
        DTWNet: a Dynamic Time Warping Network
        [Cai, Xingyu, Xu, Tingyang, Yi, Jinfeng, Huang, Junzhou, Rajasekaran, Sanguthevar]. "In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019".
      • Conference Proceeding
        Hyperparameter Learning via Distributional Transfer
        [ Law, Ho Chung Leon, Zhao, Peilin, Chan, Lucian, Huang, Junzhou, Sejdinovic, Dino ]. "In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019".
      • Conference Proceeding
        Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
        [Yang, Chao, Ma, Xiaojian, Huang, Wenbing, Sun, Fuchun, Liu, Huaping, Huang, Junzhou, Gan, Chuang]. "In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019".
      • Conference Proceeding
        NAT: Neural Architecture Transformer for Accurate and Compact Architectures
        [Guo, Yong, Zheng, Yin, Tan, Mingkui, Chen, Qi, Chen, Jian, Zhao, Peilin, Huang, Junzhou]. "In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019".
      • Conference Proceeding
        Deep Multi-Instance Learning for survival prediction from Whole Slide Images
        [Yao, Jiawen, Zhu, Xinliang, Huang, Junzhou]. "In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019".
      • Conference Proceeding
        From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification
        [Zhang, Yifan, Chen, Hanbo, Wei, Ying, Zhao, Peilin, Cao, Jiezhang, Tan, Mingkui, Wu, Qingyao, Fan, Xinjuan, Lou, Xiaoying, Liu, Hailing, Hou, Jinlong, Han, Xiao, Yao, Jianhua, Huang, Junzhou]. "In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019".
      • Conference Proceeding
        Graph Convolutional Networks for Temporal Action Localization
        [Zeng, Runhao, Huang, Wenbing, Gan, Chuang, Tan, Minkui, Rong, Yu, Zhao, Peilin, Huang, Junzhou]. "In Proc. of the 17th International Conference on Computer Vision, ICCV'19, Seoul, Korea, October 2019.".
      • Conference Proceeding
        Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation
        [Yao, Jiawen, Cai, Jinzheng, Yang, Dong, Xu, Daguang, Huang, Junzhou]. "In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019".
      • Conference Proceeding
        Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning
        [Shan, Hong, Sun, Zhongqian, Yang, Wei, Fu, Xinhui, Zheng, Han, Chang, Jia, Huang, Junzhou]. "In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019".
      • Conference Proceeding
        Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier
        [Chen, Hanbo, Han, Xiao, Fan, Xinjuan, Lou, Xiaoying, Liu, Hanling, Huang, Junzhou, Yao, Jianhua]. "In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019".
      • Conference Proceeding
        SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction
        [Wang, Sheng, Guo, Yuzhi, Wang, Yuhong, Sun, Hongmao, Huang, Junzhou]. "In Proc. of The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'19, Niagara Falls, NY, USA, September 2019".
      • Conference Proceeding
        Collaborative Channel Pruning for Deep Networks
        [Peng, Hanyu, Wu, Jiaxiang, Chen, Shifeng, Huang, Junzhou]. "In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019".
      • Conference Proceeding
        Graph Convolutional Nets for Tool Presence Detection in Surgical Videos
        [Wang, Sheng, Xu, Zheng, Yan, Chaochao, Huang, Junzhou]. "In Proc. of The 26th International Conference on Information Processing in Medical Imaging, IPMI'19, Hong Kong, China, June 2019".
      • Conference Proceeding
        Hierarchically Structured Meta-learning
        [Yao, Huaxiu, Wei, Ying, Huang, Junzhou, Li, Zhenhui]. "In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019".
      • Conference Proceeding
        Progressive Feature Alignment for Unsupervised Domain Adaptation
        [Chen, Chaoqi, Xie, Weiping, Xu, Tingyang, Huang, Wenbing, Huang, Junzhou]. " In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'19, Long Beach, CA, USA, June 2019".
      • Conference Proceeding
        RaFM: Rank-Aware Factorization Machines
        [Chen, Xiaoshuang, Zheng, Yin, Wang, Jiaxing, Ma, Wenye, Huang, Junzhou]. "In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019".
      • Conference Proceeding
        Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
        [Li, Jia, Rong, Yu, Cheng, Hong, Meng, Helen, Huang, Wenbing, Huang, Junzhou]. "In Proc. of International World Wide Web Conference, WWW'19, San Francisco, CA, USA, May 2019".
      • Conference Proceeding
        An Efficient Approach to Informative Feature Extraction from Multimodal Data
        [Wang, Lichen , Wu, Jiaxiang, Lizhong, ShaolunWang, Xu, Xiangxiang, Zhang, Lin, Huang, Junzhou]. "In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI'19, Honolulu, Hawaii, USA, February 2019".
      • Conference Proceeding
        Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
        [Fan, Lijie, Huang, Wenbing, Gan, Chuang, Huang, Junzhou, Gong, Boqing]. "In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI'19, Honolulu, Hawaii, USA, February 2019".

      2018
      • Conference Proceeding
        Adaptive Sampling Towards Fast Graph Representation Learning
        [Huang, Wenbing, Zhang, Tong, Rong, Yu, Huang, Junzhou]. "In Proc. of Annual Conference on Neural Information Processing Systems, NIPS’18, Montreal, Canada, December 2018".
      • Conference Proceeding
        Discrimination-aware Channel Pruning for Deep Neural Networks
        [Zhuang, Zhuangwei, Tan, Mingkui, Zhuang, Bohan, Liu, Jing, Cao, Jiezhang, Wu, Qingyao, Huang, Junzhou, Zhu, Jinhui]. "In Proc. of Annual Conference on Neural Information Processing Systems, NIPS’18, Montreal, Canada, December 2018".
      • Conference Proceeding
        Weakly Supervised Dense Event Captioning in Videos
        [Duan, Xuguang, Huang, Wenbing, Gan, Chuang, Wang, Jingdong, Zhu, Wenwu, Huang, Junzhou]. "In Proc. of Annual Conference on Neural Information Processing Systems, NIPS’18, Montreal, Canada, December 2018".
      • Conference Proceeding
        Graph CNN for Survival Analysis on Whole Slide Pathological Images
        [Li, Ruoyu, Yao, Jiawen, Zhu, Xinliang, Li, Yeqing, Huang, Junzhou]. "In Proc. of International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'18, Granada, Spain, September 2018".
      • Conference Proceeding
        Group-driven Reinforcement Learning for Personalized mHealth Intervention
        [Zhu, Feiyun, Guo, Jun, Xu, Zheng, Liao, Peng, Huang, Junzhou]. "In Proc. of International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'18, Granada, Spain, September 2018.".
      • Conference Proceeding
        Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data
        [Zhang, Yifan, Zhao, Peilin, Cao, Jiezhang, Ma, Wenye , Huang, Junzhou, Wu, Qingyao, Tan, Mingkui]. "In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD'18, London, UK, August 2018".
      • Conference Proceeding
        Adversarial Learning with Local Coordinate Coding
        [Cao, Jiezhang, Guo, Yong, Wu, Qingyao, Shen, Chunhua, Huang, Junzhou, Tan, Mingkui]. "In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018.".
      • Conference Proceeding
        Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
        [Wu, Jiaxiang, Huang, Weidong, Huang, Junzhou, Zhang, Tong]. "In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018".
      • Conference Proceeding
        Transfer Learning via Learning to Transfer
        [Wei, Ying, Zheng, Yu, Huang, Junzhou, Yang, Qiang]. "In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018".
      • Conference Proceeding
        End-to-End Learning of Motion Representation for Video Understanding
        [Fan, Lijie, Huang, Wenbing, Gan, Chuang, Ermon, Stefano , Gong, Boqing, Huang, Junzhou]. "In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'18, Salt Lake, Utah, USA, June 2018".
      • Conference Proceeding
        Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion
        [Zhang, Siyuan, Rong, Yu, Zheng, Yu, Cheng, Hong, Huang, Junzhou]. "In Proc. of International Conference on Database Systems for Advanced Applications, DASFAA'18, Gold Coast, Australia, May 2018".
      • Conference Proceeding
        Online Compact Convexified Factorization Machine
        Array
        [Lin, Xiao, Zhang, Wenpeng, Zhang, Min, Zhao, Peilin, Zhu, Wenwu, Pei, Jian, Huang, Junzhou]. "In Proc. of International World Wide Web Conference, WWW'18, Lyon, France, April 2018".
      • Conference Proceeding
        Adaptive Graph Convolutional Neural Networks
        [Li, Ruoyu, Wang, Sheng, Zhu, Feiyu, Huang, Junzhou]. "In Proc. of AAAI Conference on Artificial Intelligence, AAAI’18, New Orleans, USA, February 2018".

      2017
      • Conference Proceeding
        Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
        [Huang, Wenbing, Harandi, Mehrtash , Zhang, Tong, Fan, Lijie, Sun, Fuchun, Huang, Junzhou]. "In Proc. of Annual Conference on Neural Information Processing Systems, NIPS’17, Long Beach, Los Angeles, California, USA, December 2017".
      • Conference Proceeding
        Deep Correlational Learning for Survival Prediction from Multi-modality Data
        [Yao, Jiawen, Zhu, Xinliang, Zhu, Feiyun, Huang, Junzhou]. "In Proc. of International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI’17, Quebec City, Quebec, Canada, September 2017".
      • Conference Proceeding
        Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery
        [Xu, Zheng, Wang, Sheng, Zhu, Feiyun, Huang, Junzhou]. "In Proc. of ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB’17, Boston, MA, August 2017".
      • Conference Proceeding
        WSISA: Making Survival Prediction from Whole Slide Pathology Images
        [Zhu, Xinliang, Yao, Jiawen, Zhu, Feiyun, Huang, Junzhou]. "In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR’17, Honolulu, Hawaii, USA, July 2017".
      • Conference Proceeding
        Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos
        [Wang, Sheng, Raju, Ashwin, Huang, Junzhou]. 620-623. "In Proc. of the International Symposium on Biomedical Imaging, ISBI'17, Melbourne, Australia, April 2017".
      • Conference Proceeding
        A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning.
        [Xu, Zheng, Huang, Junzhou]. 2803-2809. "In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017".
      • Conference Proceeding
        Adaptive Proximal ApproximAverage ation for Composite Convex Minimization.
        [Li Shen, Liu, Wei, Huang, Junzhou, Jiang, Yu-Gang, Ma, Shiqian]. 2513-2519. "In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017".

      2016
      • Conference Proceeding
        Accelerated sparse optimization for missing data completion
        [Xu, Zheng, Li, Yeqing, Huang, Junzhou]. 1267-1272. "In Proc. of the 23rd International Conference on Pattern Recognition, ICPR'16, Cancun, Mexico, December 2016".
      • Conference Proceeding
        Deep Convolutional Neural Network for Survival Analysis with Pathological Images
        [Zhu, Xinliang, Yao, Jiawen, Huang, Junzhou]. 544-547. "In Proc. of IEEE International Conference on Bioinformatics and Biomedicine, BIBM'16, Shenzhen, China, December 2016".
      • Conference Proceeding
        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. "In Proc. of IEEE International Conference on Bioinformatics and Biomedicine, BIBM'16, Shenzhen, China, December 2016".
      • Conference Proceeding
        Detecting 10,000 Cells in one second
        [Xu, Zheng, Huang, Junzhou]. 676-684. "In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016".
      • Conference Proceeding
        Imaging biomarker discovery for lung cancer survival prediction
        [Yao, Jiawen, Wang, Sheng, Zhu, Xinliang, Huang, Junzhou]. 649-657. "In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016".
      • Conference Proceeding
        Subtype cell detection with an accelerated deep convolution neural network
        [Wang, Sheng, Yao, Jiawen, Xu, Zheng, Huang, Junzhou]. 640-648. "In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016".
      • Conference Proceeding
        Track Facial Points in Unconstrained Videos
        [Peng, Xi, Hu, Qiong, Huang, Junzhou, Metaxas, DimitrisN.]. "In Proc. of The 27th British Machine Vision Conference, BMVC'16, York, UK, September 2016".
      • Conference Proceeding
        Semi-Supervised Group Sparse Representation: Model, Algorithm and Applications.
        [Gao, Longwen, Li, Yeqing, Huang, Junzhou, Zhou, Shuigeng]. 507-514. "In Proc. of the 22st European Conference on Artificial Intelligence, ECAI'16, Hague, August 2016".
      • Conference Proceeding
        Sequential Face Alignment via Person-Specific Modeling in the Wild
        [Peng, Xi, Huang, Junzhou, Metaxas, DimitrisN.]. 107-116. "In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW'16, Las Vegas, USA, June 2016".
      • Conference Proceeding
        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. " In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016".
      • Conference Proceeding
        RSPIRIT: Robust self-consistent parallel imaging reconstruction based on generalized Lasso
        [Peng, Zhongxing, Xu, Zheng, Huang, Junzhou]. 318-321. " In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016".
      • Conference Proceeding
        Scalable Sequential Spectral Clustering.
        [Li, Yeqing, Huang, Junzhou, Liu, Wei]. 1809-1815. "In Proc. of The Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, USA, February 2016".

      2015
      • Conference Proceeding
        Accelerated dynamic MRI reconstruction with total variation and nuclear norm regularization
        [Yao, Jiawen, Xu, Zheng, Huang, Xiaolei, Huang, Junzhou]. 635-642. "In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        An effective approach for robust lung cancer cell detection
        [Pan, Hao, Xu, Zheng, Huang, Junzhou]. 87-94. "1st International Workshop on Patch-based Techniques in Medical Imaging, PMI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        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. "6th International Workshop on Machine Learning in Medical Imaging, MLMI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        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. "In Proc. of the MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, MCV'15, Munich, Germany, October 2015".
      • Conference Proceeding
        Efficient lung cancer cell detection with deep convolution neural network
        [Xu, Zheng, Huang, Junzhou]. 79-86. "In Proc. of the 1st International Workshop on Patch-based Techniques in Medical Imaging, PMI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        Efficient preconditioning in joint total variation regularized parallel mri reconstruction
        [Xu, Zheng, Li, Yeqing, Axel, Leon, Huang, Junzhou]. 563-570. " In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        Fast preconditioning for accelerated multi-contrast MRI reconstruction
        [Li, Ruoyu, Li, Yeqing, Fang, Ruogu, Zhang, Shaoting, Pan, Hao, Huang, Junzhou]. 700-707. " In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        Fast regions-of-interest detection in whole slide histopathology images
        International Workshop on Patch-based Techniques in Medical Imaging
        [Li, Ruoyu, Huang, Junzhou]. 1st International Workshop on Patch-based Techniques in Medical Imaging. 120-127. "Springer".
      • Conference Proceeding
        Joint kernel-based supervised hashing for scalable histopathological image analysis
        [Jiang, Menglin, Zhang, Shaoting, Huang, Junzhou, Yang, Lin, Metaxas, DimitrisN.]. 366-373. " In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015".
      • Conference Proceeding
        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. "In Proc. of International Joint Conference on Artificial Intelligence, IJCAI'15, Buenos Aires, Argentina, July 2015".
      • Conference Proceeding
        Deep sparse representation for robust image registration
        [Li, Yeqing, Chen, Chen, Yang, Fei, Huang, Junzhou]. 4894-4901. " In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'15, Boston, USA, June 2015".
      • Conference Proceeding
        Three-dimensional head pose estimation in-the-wild
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Metaxas, DimitrisN.]. 1, 1-6. "In Proc. the 11th IEEE International Conference on Automatic Face and Gesture Recognition, FG'15, Ljubljana, Slovenia, May 2015".
      • Conference Proceeding
        A spatio-temporal low-rank total variation approach for denoising arterial spin labeling MRI data
        [Fang, Ruogu, Huang, Junzhou, Luh, Wen-Ming]. 498-502. "In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015".
      • Conference Proceeding
        Multi-frequency diffuse optical tomography for cancer detection
        [Chen, Chen, Kavuri, VenkaiahC., Wang, Xinlong, Li, Ruoyu, Liu, Hanli, Huang, Junzhou]. 67-70. "In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015".
      • Conference Proceeding
        Robust image registration in the gradient domain
        [Li, Yeqing, Chen, Chen, Zhou, Jinghao, Huang, Junzhou]. 605-608. "In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015".
      • Conference Proceeding
        Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
        [Li, Yeqing, Nie, Feiping, Huang, Heng, Huang, Junzhou]. In Proc. of the Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI'15, Austin, TX, USA, Januanry 2015. 2750-2756.

      2014
      • Conference Proceeding
        Multimodal sparse representation classification with fisher discriminative sample reduction
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou, Ghandehari, Laleh]. 5192-5196. " In Proc. of IEEE International Conference on Image Processing, ICIP'14, Paris, France, October 2014".
      • Conference Proceeding
        Instrument tracking via online learning in retinal microsurgery
        [Li, Yeqing, Chen, Chen, Huang, Xiaolei, Huang, Junzhou]. 464-471. "In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014".
      • Conference Proceeding
        Real time dynamic MRI with dynamic total variation
        [Chen, Chen, Li, Yeqing, Axel, Leon, Huang, Junzhou]. 138-145. "In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014".
      • Conference Proceeding
        Head pose estimation by instance parameterization
        [Peng, Xi, Huang, Junzhou, Hu, Qiong, Zhang, Shaoting, Metaxas, DimitrisN.]. 1800-1805. "In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014".
      • Conference Proceeding
        O (1) algorithms for overlapping group sparsity
        [Chen, Chen, Peng, Zhongxing, Huang, Junzhou]. 1645-1650. "In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014".
      • Conference Proceeding
        Transformation-Invariant Collaborative Sub-representation
        [Li, Yeqing, Chen, Chen, Huang, Jungzhou, ]. 3738-3743. "In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014".
      • Conference Proceeding
        Sub-Selective Quantization for Large-Scale Image Search.
        [Li, Yeqing, Chen, Chen, Liu, Wei, Huang, Junzhou]. 2803-2809. "In Proc. of The AAAI Conference on Artificial Intelligence, AAAI'14, Québec, Canada, July 2014".
      • Conference Proceeding
        Energy disaggregation via hierarchical factorial hmm”
        [Li, Yeqing, Peng, Zhongxing, Huang, Junzhou, Zhang, Zhilin, Son, JaeHyun]. 1-4. "In Proc. of The Second International Workshop on Non-Intrusive Load Monitoring, NILM'14, Austin, TX, USA, June 2014".
      • Conference Proceeding
        Image fusion with local spectral consistency and dynamic gradient sparsity
        [Chen, Chen, Li, Yeqing, Liu, Wei, Huang, Junzhou]. 2760-2765. "In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014".
      • Conference Proceeding
        Preconditioning for accelerated iteratively reweighted least squares in structured sparsity reconstruction
        Array
        [Chen, Chen, Huang, Junzhou, He, Lei, Li, Hongsheng]. 2713-2720. "In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014".
      • Conference Proceeding
        2D diffuse optical imaging using clustered sparsity
        [Chen, Chen, Tian, Fenghua, Yao, Jixing, Liu, Hanli, Huang, Junzhou]. 616-619. " In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'14, Beijing, China, April 2014".
      • Conference Proceeding
        Exploiting both intra-quadtree and inter-spatial structures for multi-contrast MRI
        [Chen, Chen, Huang, Junzhou]. 41-44. " In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'14, Beijing, China, April 2014".

      2013
      • Conference Proceeding
        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. "In Proc. of the 14th International Conference on Computer Vision, ICCV'13, Sydney, Australia, December 2013".
      • Conference Proceeding
        Calibrationless parallel MRI with joint total variation regularization
        [Chen, Chen, Li, Yeqing, Huang, Junzhou]. 106-114. "In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'13, Nagoya, Japan, September 2013".
      • Conference Proceeding
        Efficient sparse representation classification using adaptive clustering
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou]. 1. "In International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'13, Las Vegas, USA, July 2013".
      • Conference Proceeding
        Sparse deformable models with application to cardiac motion analysis
        [Yu, Yang, Zhang, Shaoting, Huang, Junzhou, Metaxas, Dimitris, Axel, Leon]. 208-219. "In Proc. of the 23rd Biennial International Conference on Information Processing in Medical Imaging, IPMI'13, Asilomar, CA, June 2013".
      • Conference Proceeding
        The role of dictionary learning on sparse representation-based classification
        [Shafiee, Soheil, Kamangar, FarhadA, Athitsos, Vassilis, Huang, Junzhou]. 47. "In Proc. of the 6th International Conference on Pervasive Technologies Related to Assistive Environments, PETRA'13, Rhodes Island, Greece, May 2013".
      • Conference Proceeding
        Explicit occlusion detection based deformable fitting for facial landmark localization
        [Yu, Xiang, Yang, Fei, Huang, Junzhou, Metaxas, DimitrisN.]. 1-6. "In Proc. of the IEEE International Conference on Automatic Face and Gesture Recognition, FG'13, Shanghai, China, April 2013".
      • Conference Proceeding
        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. "In Proc. of the IEEE International Symposium on Biomedical Imaging, ISBI'13, San Francisco, CA, USA, April 2013".
      • Conference Proceeding
        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. "In Proc. of the 46th Hawaii International Conference on System Sciences, HICSS'13, Wailea, HI, USA, January 2013.".

      2012
      • Conference Proceeding
        Compressive sensing MRI with wavelet tree sparsity
        [Chen, Chen, Huang, Junzhou]. 1115-1123. "In Proc. of the 26th Annual Conference on Neural Information Processing Systems, NIPS'12, Lake Tahoe, Nevada, USA, December 2012".
      • Conference Proceeding
        Accelerated parallel magnetic resonance imaging with combined gradient and wavelet sparsity
        [Chen, Chen, Huang, Junzhou, Leon, A.]. "In Proc. of the MICCAI Workshop on Sparsity Techniques in Medical Imaging, STMI'12, Nice, France, October 2012".
      • Conference Proceeding
        Background Subtraction Using Group Sparsity and Low Rank Constraint
        [Cui, Xinyi, Huang, Junzhou, Zhang, Shaoting, Metaxas, Dimitris]. "In Proc. of the European Conference on Computer Vision, ECCV'12, Firenze, Italy, October 2012".
      • Conference Proceeding
        Simplified labeling process for medical image segmentation
        [Gao, Mingchen, Huang, Junzhou, Huang, Xiaolei, Zhang, Shaoting, Metaxas, DimitrisN.]. 387-394. "In Proc. of the 15th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI'12, Nice, France, October 2012".
      • Conference Proceeding
        The benefit of tree sparsity in accelerated MRI
        [Chen, Chen, Huang, Junzhou]. "In Proc. of the MICCAI Workshop on Sparsity Techniques in Medical Imaging, STMI'12, Nice, France, October 2012".
      • Conference Proceeding
        Robust eyelid tracking for fatigue detection
        [Yang, Fei, Yu, Xiang, Huang, Junzhou, Yang, Peng, Metaxas, Dimitris]. 1829-1832. "In Proc. of IEEE International Conference on Image Processing, ICIP'12, Orlando, Florida, USA, September 2012".
      • Conference Proceeding
        Robust face tracking with a consumer depth camera
        [Yang, Fei, Huang, Junzhou, Yu, Xiang, Cui, Xinyi, Metaxas, Dimitris]. 561-564. "In Proc. of IEEE International Conference on Image Processing, ICIP'12, Orlando, Florida, USA, September 2012".
      • Conference Proceeding
        Learning active facial patches for expression analysis
        [Zhong, Lin, Liu, Qingshan, Yang, Peng, Liu, Bo, Huang, Junzhou, Metaxas, DimitrisN.]. 2562-2569. "In Proc. of In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'12, Providence, Rhode Island, USA, June 2012".
      • Conference Proceeding
        Compressed magnetic resonance imaging based on wavelet sparsity and nonlocal total variation
        [Huang, Junzhou, Yang, Fei]. 968-971. "In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'12, Barcelona, Spain, May 2012".
      • Conference Proceeding
        Left endocardium segmentation using spatio-temporal Metamorphs
        [Cui, Xinyi, Zhang, Shaoting, Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN., Axel, Leon]. 226-229. "IEEE International Symposium on Biomedical Imaging, ISBI'12, Barcelona, Spain, May 2012".

      2011
      • Conference Proceeding
        A 3D Laplacian-driven parametric deformable model
        International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011
        [Shen, Tian, Huang, Xiaolei, Li, Hongsheng, Kim, Edward, Zhang, Shaoting, Huang, Junzhou]. In Proc. of the 13th International Conference on Computer Vision. 279-286. "IEEE".
      • Conference Proceeding
        On exploring sparsity in widely separated MIMO radar
        Asilomar Conference on Signals, Systems & Computers, Asilomar'11, November 2011
        [Petropulu, AthinaP., Yu, Yao, Huang, Junzhou]. In Proc. of Asilomar Conference on Signals, Systems and Computers. 1496-1500. "IEEE".
      • Conference Proceeding
        Optimal object matching via convexification and composition
        [Li, Hongsheng, Huang, Junzhou, Zhang, Shaoting, Huang, Xiaolei]. 33-40. "In Proc. of the 13th International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011".
      • Conference Proceeding
        3D segmentation of rodent brain structures using hierarchical shape priors and deformable models
        International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011
        [Zhang, Shaoting, Huang, Junzhou, Uzunbas, Mustafa, Shen, Tian, Delis, Foteini, Huang, Xiaolei, Volkow, Nora, Thanos, Panayotis, Metaxas, DimitrisN.]. the 14th Annual International Conference on Medical Image Com- puting and Computer Assisted Intervention. 611-618. "Springer".
      • Conference Proceeding
        Deformable segmentation via sparse shape representation
        International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011
        [Zhang, Shaoting, Zhan, Yiqiang, Dewan, Maneesh, Huang, Junzhou, Metaxas, DimitrisN., Zhou, XiangSean]. 14th Annual International Conference on Medical Image Comput- ing and Computer Assisted Intervention. 451-458. "Springer".
      • Conference Proceeding
        Sparse shape composition: A new framework for shape prior modeling
        [Zhang, Shaoting, Zhan, Yiqiang, Dewan, Maneesh, Huang, Junzhou, Metaxas, DimitrisN., Zhou, XiangSean]. 1025-1032. "In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'11, Colorado Springs, Colorado, USA, June 2011".
      • Conference Proceeding
        4D cardiac reconstruction using high resolution CT images
        [Gao, Mingchen, Huang, Junzhou, Zhang, Shaoting, Qian, Zhen, Voros, Szilard, Metaxas, Dimitris, Axel, Leon]. 153-160. "In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH'11, New York, USA, May 2011".
      • Conference Proceeding
        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. "In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH'11, New York, USA, May 2011".
      • Conference Proceeding
        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. "In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’11, Chicago, Illinois, USA, March 2011".
      • Conference Proceeding
        Eye localization through multiscale sparse dictionaries
        [Yang, Fei, Huang, Junzhou, Yang, Peng, Metaxas, Dimitris]. 514-518. "In Proc. of the 9th Conference on Automatic Face and Gesture Recognition, FG'11, Santa Barbara, California, USA, March 2011".
      • Conference Proceeding
        Group sparsity based classification for cervigram segmentation
        [Yu, Yang, Huang, Junzhou, Zhang, Shaoting, Restif, Christophe, Huang, Xiaolei, Metaxas, Dimitris]. 1425-1429. "In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’11, Chicago, Illinois, USA, March 2011".
      • Conference Proceeding
        Sparse shape registration for occluded facial feature localization
        [Yang, Fei, Huang, Junzhou, Metaxas, Dimitris]. 272-277. "In Proc. of the 9th Conference on Automatic Face and Gesture Recognition, FG'11, Santa Barbara, California, USA, March 2011".

      2010
      • Conference Proceeding
        Fast optimization for mixture prior models
        [Huang, Junzhou, Zhang, Shaoting, Metaxas, Dimitris]. 607-620. "In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010".
      • Conference Proceeding
        Robust and fast collaborative tracking with two stage sparse optimization
        [Liu, Baiyang, Yang, Lin, Huang, Junzhou, Meer, Peter, Gong, Leiguang, Kulikowski, Casimir]. 624-637. "In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010".
      • Conference Proceeding
        Automatic image annotation using group sparsity
        [Zhang, Shaoting, Huang, Junzhou, Huang, Yuchi, Yu, Yang, Li, Hongsheng, Metaxas, DimitrisN.]. 3312-3319. "In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'10, San Francisco, USA, June 2010".
      • Conference Proceeding
        Discriminative sparse representations for cervigram image segmentation
        [Zhang, Shaoting, Huang, Junzhou, Metaxas, Dimitris, Wang, Wei, Huang, Xiaolei]. 133-136. "In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'10, Rotterdam, Netherlands, April 2010".
      • Conference Proceeding
        Cervigram image segmentation based on reconstructive sparse representations.
        [Zhang, Shaoting, Huang, Junzhou, Wang, Wei, Huang, Xiaolei, Metaxas, DimitrisN.]. 762313. "In Proc. of SPIE, Medical Imaging: Image Processing, San Diego, USA, February 2010".

      2009
      • Conference Proceeding
        Learning with dynamic group sparsity
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 64-71. "In Proc. of the 12th International Conference on Computer Vision, ICCV'09, Kyoto, Japan, October 2009".
      • Conference Proceeding
        Learning with Structured Sparsity
        [Huang, Junzhou]. "In Proc. of the 26th International Conference on Machine Learning, ICML'09, Montreal, Quebec, Canada, June 2009".

      2008
      • Conference Proceeding
        Active volume models with probabilistic object boundary prediction module
        [Shen, Tian, Zhu, Yaoyao, Huang, Xiaolei, Huang, Junzhou, Metaxas, Dimitris, Axel, Leon]. 331-341. "In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008".
      • Conference Proceeding
        Tag separation in cardiac tagged MRI
        [Huang, Junzhou, Qian, Zhen, Huang, Xiaolei, Metaxas, Dimitris, Axel, Leon]. "In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008".
      • Conference Proceeding
        Simultaneous image transformation and sparse representation recovery
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 1-8. " In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'08, Anchorage, AL, USA, June 2008".

      2007
      • Conference Proceeding
        Adaptive metamorphs model for 3D medical image segmentation
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, DimitrisN., Axel, Leon]. ssisted Interven- tion. 302-310. "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".
      • Conference Proceeding
        Optimization and learning for registration of moving dynamic textures
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris]. 1-8. "In Proc. of the 11th International Conference on Computer Vision, ICCV'07, Rio de Janeiro, Brazil, October 2007".
      • Conference Proceeding
        Dynamic texture based heart localization and segmentation in 4-d cardiac images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Axel, Leon]. 852-855. "In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'07, pp. 852-855, Washington DC, USA, April 2007".

      2006
      • Conference Proceeding
        3D tumor shape reconstruction from 2D bioluminescence images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Banerjee, Debarata]. 606-609. "In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'06, pp. 606-609, Arlington, Virginia, USA, April 2006".
      • Conference Proceeding
        3D Tumor Shape Reconstruction from 2D Bioluminescence Images and Registration with CT Images
        [Huang, Junzhou, Huang, Xiaolei, Metaxas, Dimitris, Banerjee, Debarata]. 99-105. "In Proc. of the 1st Workshop on Microscopic Image Analysis with Applications in Biology, MIAAB'06, Arlington, Virginia, USA, April 2006".

      2004
      • Conference Proceeding
        Noise removal and impainting model for iris image
        [Huang, Junzhou, Wang, Yunhong, Cui, Jiali, Tan, Tieniu]. 2, 869-872. "In Proc. of International Conference on Image Processing, ICIP'04, pp. 869-872, October 2004".
      • Conference Proceeding
        A new iris segmentation method for recognition
        [Huang, Junzhou, Wang, Yunhong, Tan, Tieniu, Cui, Jiali]. 3, 554-557. "In Proc. of the 17th International Conference on Pattern Recognition, ICPR'04 (3), pp. 554-557, August 2004".
      • Conference Proceeding
        An iris image synthesis method based on PCA and super-resolution
        [Cui, Jiali, Wang, Yunhong, Huang, Junzhou, Tan, Tieniu, Sun, Zhenan]. 4, 471-474. "In Proc. of the 17th International Conference on Pattern Recognition, ICPR'04 (3), pp. 554-557, August 2004".
      • Conference Proceeding
        Iris model based on local orientation description
        [Huang, Junzhou, Ma, Li, Wang, Yunhong, Tan, Tieniu]. 954-959. "In Proc. of Asian Conference on Computer Vision, ACCV'04, pp. 954-959, Korea, January 2004".

      2003
      • Conference Proceeding
        Learning Based Resolution Enhancement of Iris Images.
        [Huang, Junzhou, Ma, Li, Tan, Tieniu, Wang, Yunhong]. 1-10. "In Proc. of the 14th British Machine Vision Conference, BMVC'03, pp. 153-162, Norwich, U.K., September 2003".

Presentations

    • August  2020
      Huang, Junzhou, "Deep Graph Learning: Foundations, Advances and Applications". (August 23, 2020).
    • May  2017
      Huang, Junzhou, "Big Image-Omics Data Analytics for Clinical Outcome Prediction", NVIDIA, San Jose, CA. (May 1, 2017).
    • April  2017
      Huang, Junzhou, "Sparse Learning for Big Medical Data", Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas. (April 1, 2017).
    • 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).

Students Supervised

    • Present
      Dissertation Committee Member
      CSE (Computer Science and Engineer)
    • Present
      Postdoctoral Research Supervision
      – 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
      - Benxin Zhang, Guilin University of Electronic Technology, Fall 2016 - Spring 2017
      – Liu Yang, Central South University, Fall 2017 - Spring 2018
      – Feiyun Zhu, Walmart Lab, Fall 2016 - Spring 2018
      – Ying Li, Communication University of China, Fall 2019 - Spring 2020. (Computer Science and Engineer)
      PostDoc and Visiting Scholar
    • May 2024
      Dissertation Committee Chair
      Chunyuan Li, (Computer Science and Engineer)
    • May 2024
      Dissertation Committee Chair
      Weizhi An, (Computer Science and Engineer)
    • May 2023
      Dissertation Committee Chair
      Hehuan Ma, (Computer Science and Engineer)
    • May 2023
      Dissertation Committee Chair
      Jinyu Yang, (Computer Science and Engineer)
    • May 2023
      Dissertation Committee Chair
      Yu Song, (Computer Science and Engineer)
    • May 2023
      Dissertation Committee Chair
      Yuzhi Guo, (Computer Science and Engineer)
    • May 2022
      Dissertation Committee Chair
      Ashwin Raju, (Computer Science and Engineer)
    • May 2022
      Dissertation Committee Chair
      Chaochao Yan, (Computer Science and Engineer)
    • May 2022
      Dissertation Committee Chair
      Mohammad Minhazul Haq , (Computer Science and Engineer)
    • Dec 2020
      Dissertation Committee Chair
      Ruoyu Li, (Computer Science and Engineer)
      Adaptive Graph Convolutional Neural Networks
    • May 2020
      Dissertation Committee Chair
      Sheng Wang, (Computer Science and Engineer)
      SEMI-SUPERVISED DEEP LEARNING WITH APPLICATIONS IN SURGICALVIDEO ANALYSIS AND BIOINFORMATICS
    • May 2020
      Dissertation Committee Chair
      Xinliang Zhu, (Computer Science and Engineer)
      DEEP REPRESENTATION LEARNING ON GIGA-PIXEL WHOLE SLIDE IMAGES
    • Dec 2019
      Master's Thesis Committee Chair
      Siyu Xiu, (Computer Science and Engineer)
      COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY
    • Dec 2019
      Master's Thesis Committee Chair
      Zhifei Deng, (Computer Science and Engineer)
      DETECT TRAFFIC SIGNS FROM LARGE STREET VIEW IMAGES WITH DEEP LEARNING
    • Aug 2019
      Dissertation Committee Chair
      Jiawen Yao, (Computer Science and Engineer)
      LEARNING FOR CLINICAL OUTCOME PREDICTION FROM BIG MEDICAL DATA
    • Dec 2018
      Master's Thesis Committee Chair
      Xiaoyu Zhang, (Computer Science and Engineer)
      TOWARDS END-TO-END SEMI-SUPERVISED DEEP LEARNING FOR DRUG DISCOVERY
    • Dec 2018
      Dissertation Committee Chair
      Zheng Xu, (Computer Science and Engineer)
      LARGE-SCALE DEEP LEARNING WITH APPLICATION IN MEDICAL IMAGING AND BIO-INFORMATICS
    • Aug 2017
      Master's Thesis Committee Chair
      Ashwin Raju, (Computer Science and Engineer)
      Deep Learning Based Multi-Label Classification for Surgical Tool Presence Detection in Laparoscopic Videos
    • May 2017
      Master's Thesis Committee Chair
      Arjun Punabhai Vekariya, (Computer Science and Engineer)
      DEEP LEARNING TO DEVELOP CLASSIFICATION PIPELINE FOR DETECTING METASTATIC BREAST CANCER FROM HISTOPATHOLOGY IMAGES
    • May 2017
      Master's Thesis Committee Chair
      Shirong Xue, (Computer Science and Engineer)
      AUTO-ROI SYSTEM:AUTOMATIC LOCALIZATION OF ROI IN GIGAPIXEL WHOLE-SLIDE IMAGES
    • Dec 2016
      Master's Thesis Committee Chair
      Viswanathan Rajalingam, (Computer Science and Engineer)
      CELL SEGMENTATION IN CANCER HISTOPATHOLOGY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
    • Dec 2016
      Master's Thesis Committee Chair
      Vivek Balaji, (Computer Science and Engineer)
      CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS FOR PEDESTRIAN DETECTION
    • Dec 2015
      Master's Thesis Committee Chair
      Dheeraj Ganti , (Computer Science and Engineer)
      LUNG CANCER SUBTYPE CLASSIFICATION FROM WHOLE SLIDE HISTOPATHOLOGICAL IMAGES
    • Dec 2015
      Dissertation Committee Chair
      Yeqing Li, (Computer Science and Engineer)
      Methods For Large-scale Machine Learning And Computer Vision
    • May 2015
      Master's Thesis Committee Chair
      Chen Chen, (Computer Science and Engineer)
      ADVANCED SPARSITY TECHNIQUES IN MEDICAL IMAGING AND IMAGE PROCESSING

Courses

      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2021
      • CSE 6999-003 DISSERTATION
        (Course Id: 102619)
        Spring - Regular Academic Session - 2021
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2021
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2021
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2021
      • CSE 6399-003 DISSERTATION
        (Course Id: 102610)
        Fall - Regular Academic Session - 2020
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Fall - Regular Academic Session - 2020
      • CSE 7399-003 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2020
      • CSE 5698-003 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2020
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2020
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2020
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        Spring - Regular Academic Session - 2020
      • CSE 7399-003 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2020
      • CSE 6397-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2020
      • CSE 6697-003 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2020
      • CSE 6699-003 DISSERTATION
        (Course Id: 102615)
        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 Download Syllabus
      • 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 Download Syllabus
      • CSE 5311-002 DSGN & ANLY ALGORITHMS
        (Course Id: 102509)
        Fall - Regular Academic Session - 2016 Download Syllabus
      • 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 Download Syllabus
      • 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 Download Syllabus
      • 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 Download Syllabus
      • 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 Download Syllabus
      • 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 Download Syllabus
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2014 Download Syllabus
      • 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 Download Syllabus
      • CSE 2312-001 CMPTR ORG & ASSEMB LANG PROG
        (Course Id: 102416)
        Fall - Regular Academic Session - 2013 Download Syllabus
      • 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 Download Syllabus
      • 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 Download Syllabus
      • 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 University

    • June 2020 to  Present Committee Member
      Nooyi Endowed Chair Search Committee
    • June 2020 to  Present Committee Member
      Review Committees for CSE department chairs
    • Sept 2014 to  Present Committee Member
      Quality Assurance Committees
    • Sept 2014 to  Present Committee Member
      Visiting Appointments Committees
    • Sept 2012 to  Aug 2014 Committee Member
      Ph.D. Admission Committee
    • Sept 2011 to  Aug 2012 Committee Member
      Enrollments ad hoc Committee
    • Sept 2011 to  Aug 2012 Committee Member
      Master Admission Committee

Service to the Profession

    • 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
    • Jan 2015 to  Present
      Reviewer, Grant Proposal
      National Science Foundation, Smart and Connected Health
      2016
    • Sept 2013 to  Present
      Committee Member
      Annual Conference on Neural Information Processing Systems
    • June 2013 to  Present
      Committee Member
      International Conference on Machine Learning
    • Sept 2011 to  Present
      Reviewer, Journal Article
      Annals of Statistics,
    • 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
      Editor, Associate Editor
      Journal of Visual Communication and Image Representation
    • Jan 2011 to  Present
      Reviewer, Journal Article
      IEEE Transaction on Image Processing,
    • 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 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,
    • Aug 2020 to  Aug 2020
      Session Chair (San Diego, CA, USA)
      The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    • Oct 2019 to  Oct 2019
      Session Chair (Shenzhen, Guangdong, China)
      The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention
    • 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
    • Oct 2015 to  Oct 2015
      Session Chair
      The 18th International Conference on Medical Image Computing and Computer Assisted Intervention,
      2015, 2017, 2019
    • 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

Service to the Community

Service to the Community

    • June 2016 to  July 2016
      Guest Speaker (Arlington, TX, United States)
      Summer Camp for Middle School Girls
    • 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, TX, USA)
      Summer Camp for Middle School Girls
    • July 2015 to  July 2015
      Guest Speaker (Arlington, Texas, U.S.A)
      Summer Camp for Middle School Students
    • 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,