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2019

[170] Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan and Junzhou Huang, "Adaptive Cost-sensitive Online Classification", IEEE Transactions on Knowledge and Data Engineering, Volume 31, No. 2, pp.214-228, February 2019.

[169] Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang and Junzhou Huang, "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective", In Proc. of International World Wide Web Conference, WWW'19, San Francisco, CA, USA, May 2019.

[168] Bo Liu, Xiaotong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris Metaxas, "Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning", In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS'19, Naha, Okinawa, Japan, April 2019.

[167] Yue Yu, Jiaxiang Wu and Junzhou Huang, "Exploring Fast and CommunicationEfficient Algorithms in Large-scale Distributed Networks", In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS'19, Naha, Okinawa, Japan, April 2019.

[166] Zebang Shen, Hui Qian, Cong Fang, Peilin Zhao and Junzhou Huang, "Complexities in Projection-Free Stochastic Non-convex Minimization", In Proc. of The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS'19, Naha, Okinawa, Japan, April 2019.

[165] Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang and Boqing Gong, "Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation", In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI'19, Honolulu, Hawaii, USA, February 2019. (Oral Presentation)

[164] Lichen Wang, Jiaxiang Wu, Shaolun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang and Junzhou Huang, "An Efficient Approach to Informative Feature Extraction from Multimodal Data", In Proc. of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI'19, Honolulu, Hawaii, USA, February 2019.

2018

[163] Zheng Xu, Sheng Wang, Yeqing Li, Feiyun Zhu and Junzhou Huang, "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.

[162] Chen Chen, Lei He, Hongsheng Li and Junzhou Huang, "Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparse Reconstruction", Medical Image Analysis, Volume 49, pp.141-152, October 2018.

[161] Yeqing Li, Chen Chen, Fei Yang and Junzhou Huang, "Hierarchical Sparse Representation for Robust Image Registration", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 40, Issue 9, pp.2151-2164, September 2018.

[160] Xiaoming Huang, Yin Zheng, Junzhou Huang and Yujin Zhang, "A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation", IEEE Signal Processing Letters, Volume 25, Issue 8, pp. 1126-1130, August 2018.

[159] Yeqing Li, Wei Liu and Junzhou Huang, "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.

[158] Zhibin Zhu, JiawenYao, Zheng Xu, Junzhou Huang and Benxin Zhang, "A Simple Primal-dual Algorithm for Nuclear Norm and Total Variation Regularization", Neurocomputing, Volume 289, pp. 1-12, May 2018.

[157] Jiawen Yao, Zheng Xu, Xiaolei Huang and Junzhou Huang, "An Efficient Algorithm for Dynamic MRI Using Low-rank and Total Variation Regularization", Medical Image Analysis, Volume 44, pp. 14-27, February 2018.

[156] Wenbing Huang, Tong Zhang, Yu Rong and Junzhou Huang, "Adaptive Sampling Towards Fast Graph Representation Learning", In Proc. of the 32nd Annual Conference on Neural Information Processing Systems, NIPS'18, Montreal, Canada, December 2018.

[155] Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Jiezhang Cao, Qingyao Wu, Junzhou Huang, Jinhui Zhu, "Discrimination-aware Channel Pruning for Deep Neural Networks", In Proc. of the 32nd Annual Conference on Neural Information Processing Systems, NIPS'18, Montreal, Canada, December 2018.

[154] Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu and Junzhou Huang, "Weakly Supervised Dense Event Captioning in Videos", In Proc. of the 32nd Annual Conference on Neural Information Processing Systems, NIPS'18, Montreal, Canada, December 2018.

[153] Ho Chung Leon Law, Peilin Zhao, Junzhou Huang and Dino Sejdinovic, "Hyperparameter Learning via Distributional Transfer", In The NIPS 2018 Workshop on Meta-Learning, Montreal, Canada, December 2018.

[152] Jiaxiang Wu, Yao Zhang, Haoli Bai, Huasong Zhong, Jinlong Hou, Wei Liu, Wenbing Huang and Junzhou Huang, "PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks", In The NIPS 2018 Workshop on Compact Deep Neural Networks with Industrial Applications, Montreal, Canada, December 2018.

[151] Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu and Junzhou Huang, "Deep Multi-instance Learning with Dynamic Pooling", In Proc. of the 10th Asian Conference on Machine Learning, ACML'18, Beijing, China, November 2018.

[150] Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang and Alan Yuille, "Weakly Supervised Region Proposed Network and Object Detection", In Proc. of The 15th European Conference on Computer Vision, ECCV'18, Munich, Germany, September 2018.

[149] Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu and Junzhou Huang, "Weakly-supervised Deep Learning for Thoracic Disease Classi cation and Localization on Chest X-rays", In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'18, Washington DC, USA, September 2018.

[148] Xiaoyu Zhang, Sheng Wang, Feiyun Zhu, Zheng Xu, Yuhong Wang and Junzhou Huang, "Seq3seq Fingerprint: Towards End-to-end Semi-supervised Deep Drug Discovery", In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'18, Washington DC, USA, September 2018.

[147] Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao and Junzhou Huang, "Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention", In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'18, Washington DC, USA, September 2018

[146] Feiyun Zhu, Jun Guo, Ruoyu Li and Junzhou Huang, "Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions", In Proc. of The 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'18, Washington DC, USA, September 2018.

[145] Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li and Junzhou Huang, "Graph CNN for Survival Analysis on Whole Slide Pathological Images", In Proc. of the 20th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'18, Granada, Spain, September 2018.

[144] Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao and Junzhou Huang, "Group-driven Reinforcement Learning for Personalized mHealth Intervention", In Proc. of the 20th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'18, Granada, Spain, September 2018.

[143] Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao and Junzhou Huang, "Robust Contextual Bandit via the Capped-L2 Norm for Mobile Health Intervention", In The 9th International Workshop on Machine Learning in Medical Imaging, MLMI'18, Granada, Spain, September 2018.

[142] JiaxiangWu, Weidong Huang, Junzhou Huang and Tong Zhang, "Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization", In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018.

[141] Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang, "Transfer Learning via Learning to Transfer", In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018.

[140] Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan, "Adversarial Learning with Local Coordinate Coding", In Proc. of International Conference on Machine Learning, ICML'18, Stockholm, Sweden, July 2018.

[139] Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu and Mingkui Tan, "Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data", In Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD'18, London, UK, August 2018.

[138] Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, Boqing Gong and Junzhou Huang, "End-to-End Learning of Motion Representation for Video Understanding", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'18, Salt Lake, Utah, USA, June 2018. (Spotlight)

[137] Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng and Junzhou Huang, "Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion", In Proc. of The 23rd International Conference on Database Systems for Advanced Applications, DASFAA'18, Gold Coast, Australia, May 2018.

[136] Xiao Lin, Wenpeng Zhang, Min Zhang, Peilin Zhao, Wenwu Zhu, Jian Pei and Junzhou Huang, "Online Compact Convexified Factorization Machine", International World Wide Web Conference, WWW'18, Lyon, France, April 2018.

[135] Ruoyu Li, Sheng Wang, Feiyun Zhu and Junzhou Huang, "Adaptive Graph Convolutional Neural Networks", In Proc. of The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI'18, New Orleans, USA, February 2018. (Oral Presentation)

2017

[134] Yuhong Wang, Junzhou Huang, Wei Li, Sheng Wang and Chuanfan Ding, "Specific and Intrinsic Sequence Patterns Extracted by Deep Learning from Intra-Protein Binding and Non-binding Peptide Fragments", Scientific Reports, November 2017.

[133] Xin Luo, Faliu Yi, Junzhou Huang, Lin Yang, Yang Xie and Guanghua Xiao, "Automatic Extraction of Cell Nuclei from H&E-stained Histopathological Images", Journal of Medical Imaging, Volume 4, pp. 4-12, June 2017.

[132] Xin Luo, Xiao Zang, Lin Yang, Junzhou Huang, Faming Liang, Jaime Rodriguez Canales, Ignacio I. Wistuba, Adi Gazdar, Yang Xie, Guanghua Xiao, "Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis", Journal of Thoracic Oncology, Volume 12, pp.501-509, March 2017.

[131] Ruogu Fang, Ajay Gupta, Junzhou Huang, Pina Sanelli, "TENDER: TEnsor Non-local Deconvolution Enabled Radiation Reduction in CT Perfusion", NeuroComputing, Volume 229, pp. 13-22, March 2017.

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

[129] Wenbing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun and Junzhou Huang, "Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding", In Proc. of the 31st Annual Conference on Neural Information Processing Systems, NIPS'17, Long Beach, Los Angeles, California, USA, December 2017.

[128] Jiawen Yao, Xinliang Zhu, Feiyun Zhu and Junzhou Huang, "Deep Correlational Learning for Survival Prediction from Multi-modality Data", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'17, Quebec City, Quebec, Canada, September 2017. (Oral Presentation)

[127] Zheng Xu, Sheng Wang, Feiyun Zhu and Junzhou Huang, "Seq2seq Fingerprint: An Unsupervised Deep Molecular Embedding for Drug Discovery", In Proc. of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'17, Boston, MA, August 2017.

[126] Xinliang Zhu, Jiawen Yao, Feiyun Zhu and Junzhou Huang, "WSISA: Making Survival Prediction from Whole Slide Pathology Images", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'17, Honolulu, Hawaii, USA, July 2017.

[125] Sheng Wang, Ashwin Raju and Junzhou Huang, "Deep Learning Based Multi-label Classification for Surgical Tool Presence Detection in Laparoscopic Videos", In Proc. of the International Symposium on Biomedical Imaging, ISBI'17, Melbourne, Australia, April 2017.

[124] Li Shen, Wei Liu, Junzhou Huang, Yugang Jiang and Shiqian Ma, "Adaptive Proximal Average Approximation for Composite Convex Minimization", In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017.

[123] Zheng Xu and Junzhou Huang, "A General Efficient Hyperparameter-free Algorithm for Convolutional Sparse Learning", In Proc. of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI'17, San Francisco, California USA, February 2017.

2016

[122] Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris Metaxas, "Scalable Histopathological Image Analysis via Supervised Hashing with Multiple Features", Medical Image Analysis, Volume 34, pp. 3-12, December 2016.

[121] Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris Metaxas, "Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 38, Issue 11, pp. 2212-2226, November 2016.

[120] Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang, "Real Time Dynamic MRI by Exploiting Spatial and Temporal Sparsity", Magnetic Resonance Imaging, Volume 34, Issue 4, pp. 473-482, May 2016. [CODES]

[119] Junzhou Huang, Yeqing Li, "Advanced Sparsity Techniques in Magnetic Resonance Imaging", book chapter, Machine Learning and Medical Imaging, ISBN: 978-0-12-804076-8, Elsevier Press, 2016

[118] Xinliang Zhu, Jiawen Yao and Junzhou Huang, "Deep Convolutional Neural Network for Survival Analysis with Pathological Images", IEEE International Conference on Bioinformatics and Biomedicine, BIBM'16, Shenzhen, China, December 2016.

[117] Xinliang Zhu, Jiawen Yao, Guanghua Xiao, Yang Xie, Jaime Rodriguez-Canales, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba and Junzhou Huang, "Imaging-Genetic Data Mapping for Clinical Outcome Prediction via Supervised Conditional Gaussian Graphical Model", IEEE International Conference on Bioinformatics and Biomedicine, BIBM'16, Shenzhen, China, December 2016.

[116] Zheng Xu, Yeqing Li and Junzhou Huang, "Accelerated Sparse Optimization for Missing Data Completion", In Proc. of the 23rd International Conference on Pattern Recognition, ICPR'16, Cancun, Mexico, December 2016

[115] Zheng Xu, Junzhou Huang, "Detecting 10,000 Cells in One Second", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016.

[114] Sheng Wang, Jiawen Yao, Zheng Xu, Junzhou Huang, "Subtype Cell Detection with an Accelerated Deep Convolution Neural Network", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016.

[113] Jiawen Yao, Sheng Wang, Xinliang Zhu, Junzhou Huang, "Clinical Imaging Biomarker Discovery for Survival Prediction on Lung Cancer Imaging Genetic Data", In Proc. of the 19th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'16, Athens, Greece, October 2016. (Oral Presentation)

[112] Xi Peng, Qiong Hu, Junzhou Huang, Dimitris Metaxas, "Track Facial Points in Unconstrained Videos", The 27th British Machine Vision Conference, BMVC'16, York, UK, September 2016.

[111] Longwen Gao, Yeqing Li, Junzhou Huang, Shuigeng Zhou, "Semi-supervised Group Sparse Representation: Model, Algorithm and Applications", In Proc. of the 22st European Conference on Artificial Intelligence, ECAI'16, Hague, August 2016.

[110] Xi Peng, Junzhou Huang, Dimitris Metaxas, "Sequential Face Alignment via Person-Specific Modeling in the Wild", In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW'16, Las Vegas, USA, June 2016

[109] Xinliang Zhu, Jianwen Yao, Xin Luo, Guanghua Xiao, Yang Xie, Adi Gazdar and Junzhou Huang, "Lung Cancer Survival Prediction from Pathological Images and Genetic Data - An Integration Study", In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016.

[108] Zhongxing Peng, Zheng Xu, Junzhou Huang, "RSPIRiT: Robust Self-Consistent Parallel Imaging Reconstruction Based on Generalized Lasso", In Proc. of The International Symposium on Biomedical Imaging, ISBI'16, Prague, Czech Republic, April 2016.

[107] Yeqing Li, Junzhou Huang, Wei Liu, "Scalable Sequential Spectral Clustering", In Proc. of The Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, USA, February 2016.

 

2015

[106] Jinghao Zhou, Zhennan Yan, Giovanni Lasio, Junzhou Huang, Baoshe Zhang, Navesh Sharma, Karl Prado, Warren D’Souza, "Automated Compromised right Lung Segmentation Method Using a Robust Atlas-based Active Volume Model with Sparse Shape Composition Prior in CT", Computerized Medical Imaging and Graphics, Volume 46, pp. 47-55, December 2015.

[105] Ruogu Fang, Haodi Jiang, Junzhou Huang, "Tissue-Specific Sparse Deconvolution for Brain CT Perfusion", Computerized Medical Imaging and Graphics, Volume 46, pp. 64-72, December 2015.

[104] Chen Chen, Yeqing Li, Wei Liu and Junzhou Huang, "SIRF: Simultaneous Satellite Image Registration and Fusion in A Unified Framework", IEEE Transactions on Imaging Processing, Vol. 24, No.11, November 2015.

[103] Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang and Dimitris Metaxas, "Learning Multi-scale Active Facial Patches for Expression Analysis", IEEE Transaction on Cybernetics, Volume 45, Number 8, pp.1499-1510, August 2015.

[102] Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed Elgammal and Dimitris Metaxas, "From Circle to 3-Sphere: Head Pose Estimation by Instance Parameterization", Computer Vision and Image Understanding, Volume 136, pp.92-102, July 2015.

[101] Xiang Yu, Shaoting Zhang, Zhenan Yan, Fei Yang, Junzhou Huang, Norah Dunbar, Matthew Jensen, Judee K. Burgoon and Dimitris N. Metaxas, "Is Interactional Dissynchrony a Clue to Deception? Insights from Automated Analysis of Nonverbal Visual Cues", IEEE Transactions on Cybernetics, Volume 45, Issue 3, pp. 506-520, March 2015.

[100] Jiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan and Junzhou Huang, "Computer-assisted Diagnosis of Lung Cancer Using Quantitative Topology Features", 6th International Workshop on Machine Learning in Medical Imaging, MLMI'15, Munich, Germany, October 2015.

[099] Zheng Xu, Junzhou Huang, "Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network", 1st International Workshop on Patch-based Techniques in Medical Imaging, PMI'15, Munich, Germany, October 2015.

[098] Hao Pan, Zheng Xu, Junzhou Huang, "An Effective Approach for Robust Lung Cancer Cell Detection", 1st International Workshop on Patch-based Techniques in Medical Imaging, PMI'15, Munich, Germany, October 2015.

[097] Ruoyu Li, Junzhou Huang, "Fast Regions-of-Interest Detection in Whole Slide Histopathology Images", 1st International Workshop on Patch-based Techniques in Medical Imaging, PMI'15, Munich, Germany, October 2015.

[096] Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li, "A Efficient 4D Non-Local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution", MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, MCV'15, Munich, Germany, October 2015.

[095] Zheng Xu, Yeqing Li, Leon Axel, Junzhou Huang, "Efficient Preconditioning in Joint Total Variation Regularized Parallel MRI Reconstruction", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015.

[094] Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang, "Fast Preconditioning for Accelerated Multi-Contrast MRI Reconstruction", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015. (Oral presentation 36/810 = ~4% )

[093] Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris Metaxas, "Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015. (MICCAI Young Scientist Award, 4 out of 810 submissions)

[092] Jiawen Yao, Zheng Xu, Xiaolei Huang, Junzhou Huang, "Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization", In Proc. of the 18th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'15, Munich, Germany, October 2015.

[091] Cheng Deng, Zongting Lv , Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao, "Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information", In Proc. of International Joint Conference on Artificial Intelligence, IJCAI'15, Buenos Aires, Argentina, July 2015.

[090] Yeqing Li, Chen Chen, Fei Yang and Junzhou Huang, "Deep Sparse Representation for Robust Image Registration", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'15, Boston, USA, June 2015.

[089] Ruogu Fang, Junzhou Huang, Wen-Ming Luh, "A Spatio-Temporal Low-rank Total Variation Approach for Denoising Arterial Spin Labeling MRI Data", In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015.

[088] Chen Chen, Venkaiah Chowdary Kavuri, Xinlong Wang, Ruoyu Li, Hanli Liu, Junzhou Huang, "Multi-frequency Diffuse Optical Tomography for Cancer Detection", In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015.

[087] Yeqing Li, Chen Chen, Jinghao Zhou, Junzhou Huang, "Robust Image Registration in the Gradient Domain", In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'15, Brooklyn Bridge, NY, USA, April 2015.

[086] Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Dimitris Metaxas, "Three-Dimensional Head Pose Estimation in-the-Wild", In Proc. the 11th IEEE International Conference on Automatic Face and Gesture Recognition, FG'15, Ljubljana, Slovenia, May 2015.

[085] Yeqing Li, Feiping Nie, Heng Huang and Junzhou Huang, "Large-Scale Multi-View Spectral Clustering via Bipartite Graph", In Proc. of the Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI'15, Austin, TX, USA, Januanry 2015.

2014

[084] Chen Chen, Fenghua Tian, Hanli Liu and Junzhou Huang, "Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging", IEEE Transactions on Medical Imaging, Volume 33, Issue 12, pp. 2323-2331, December 2014.

[083] Hongsheng Li, Xiaolei Huang, Junzhou Huang, Shaoting Zhang, "Feature Matching with Affine-Function Transformation Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 36, Issue 12, pp. 2407-2422, December 2014.

[082] Junzhou Huang, Chen Chen, Leon Axel, "Fast Multi-contrast MRI Reconstruction", Magnetic Resonance Imaging, Volume 32, Issue 10, pp. 1344-1352, December 2014. [CODE]

[081] Chen Chen and Junzhou Huang, ”Exploiting the wavelet structure in Compressed Sensing MRI”, Magnetic Resonance Imaging, Volume 32, Issue 10, pp. 1377-1389, December 2014. [CODE]

[080] Chen Chen and Junzhou Huang, "The Benefit of Tree Sparsity in Accelerated MRI", Medical Image Analysis, Volume 18, Issue 6, pp. 834-842, August 2014. [CODE]

[079] Chen Chen, Yeqing Li, and Junzhou Huang, "Forest Sparsity for Multi-channel Compressive Sensing", IEEE Transactions on Signal Processing, Volume 62, Issue 11, pp. 2803-2813, June 2014. [CODE]

[078] Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang and Laleh Ghandehari, "Multimodal Sparse Representation Classification with Fisher Discriminative Sample Reduction", In Proc. of IEEE International Conference on Image Processing, ICIP'14, Paris, France, October 2014.

[077] Chen Chen, Yeqing Li, Leon Axel and Junzhou Huang, "Real Time Dynamic MRI with Dynamic Total Variation", In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014. [CODE]

[076] Yeqing Li, Chen Chen, Xiaolei Huang and Junzhou Huang, "Instrument Tracking via Online Learning in Retinal Microsurgery", In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014. (Oral Presentation) (Best Student Paper Award Runners Up)

[075] Yeqing Li, Chen Chen, Wei Liu, and Junzhou Huang, "Sub-SelectiveQuantization for Large-Scale Image Search", In Proc. of the Twenty-Eighth AAAI Conference on Artificial Intelligence, AAAI'14, Québec, Canada, July 2014. (Oral Presentation)

[074] Chen Chen, Zhongxing Peng, and Junzhou Huang, "O(1) Algorithms for Overlapping Group Sparsity", In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014. (Oral Presentation)

[073] Yeqing Li, Chen Chen, and Junzhou Huang, "Transformation-invariant Collaborative Sub-representation", In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014.

[072] Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang and Dimitris N. Metaxas, "Head Pose Estimation by Instance Parameterization", In Proc. of International Conference on Pattern Recognition, ICPR'14, Stockholm, Sweden, August 2014.

[071] Chen Chen, Junzhou Huang, Lei He, and Hongsheng Li, "Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation)

[070] Chen Chen, Yeqing Li, Wei Liu, and Junzhou Huang, "Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'14, Columbus, Ohio, USA, June 2014. (Oral Presentation)

[069] Yeqing Li, Zhongxing Peng, Junzhou Huang, Zhilin Zhang and Jae Hyun Son, "Energy Disaggregation via Hierarchical Factorial HMM", The Second International Workshop on Non-Intrusive Load Monitoring, NILM'14, Austin, TX, USA, June 2014..

[068] Junzhou Huang, Chen Chen, and Xinyi Cui, "Sparsity Driven Background Modeling and Foreground Detection", book chapter, to appear in "Background Modeling and Foreground Detection for Video Surveillance", CRC Press, July 2014.

[067] Chen Chen and Junzhou Huang, "Exploiting Both Intra-quadtree and Inter-spatial Structures for Multi-contrast MRI", In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'14, Beijing, China, April 2014. [CODE]

[066] Chen Chen, Fenghua Tian, Jixing Yao, Hanli Liu and Junzhou Huang, "2D Diffuse Optical Imaging Using Clustered Sparsity", In Proc. of IEEE International Symposium on Biomedical Imaging, ISBI'14, Beijing, China, April 2014. (Oral Presentation)

2013

[065] Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris Metaxas, "3D Anatomical Shape Atlas Construction using Mesh Quality Preserved Deformable Models", Computer Vision and Image Understanding, Volume 117, Issue 9, pp. 1061-1071, September 2013.

[064] Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, "Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 35, Issue 12, pp. 2968-2981, December 2013.

[063] Chen Chen, Yeqing Li and Junzhou Huang, "Calibrationless Parallel MRI with Joint Total Variation Regularization", In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'13, Nagoya, Japan, September 2013. [CODE]

[062] Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan and Dimitris Metaxas, "Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model", In Proc. of the 14th International Conference on Computer Vision, ICCV'13, Sydney, Australia, December 2013.

[061] Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos and Junzhou Huang, "The Role of Dictionary Learning on Sparse Representation-based Classification", In Proc. of the 6th International Conference on Pervasive Technologies Related to Assistive Environments, PETRA'13, Rhodes Island, Greece, May 2013.

[060] Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos and Junzhou Huang, "Efficient Sparse Representation Using Adaptive K-means Clustering", In International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'13, Las Vegas, USA, July 2013.

[059] Yang Yu, Shaoting Zhang, Junzhou Huang, Dimitris Metaxas and Leon Axel, "Sparse Deformable Models with Application to Cardiac Motion Analysis", In Proc. of the 23rd Biennial International Conference on Information Processing in Medical Imaging, IPMI'13, Asilomar, CA, June 2013.

[058] Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris Metaxas and Leon Axel, "Papillary Muscles Analysis from High Resolution CT using Spatial-Temporal Skeleton Extraction", In Proc. of the IEEE International Symposium on Biomedical Imaging, ISBI'13, San Francisco, CA, USA, April 2013.

[057] Xiang Yu, Fei Yang, Junzhou Huang and Dimitris Metaxas, "Explicit Occlusion Detection based Deformable Fitting for Facial Landmark Localization", In Proc. of the IEEE International Conference on Automatic Face and Gesture Recognition, FG'13, Shanghai, China, April 2013.

[056] Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah Dunbar, Matthew Jensen, Judee K. Burgoon and Dimitris N. Metaxas, "Is Interactional Dissynchrony a Clue to Deception: Insights from Automated Analysis of Nonverbal Visual Cues", In Proc. of the 46th Hawaii International Conference on System Sciences, HICSS'13, Wailea, HI, USA, January 2013.

2012

[055] Chen Chen, Junzhou Huang, "Compressive Sensing MRI with Wavelet Tree Sparsity", In Proc. of the 26th Annual Conference on Neural Information Processing Systems, NIPS'12, Lake Tahoe, Nevada, USA, December 2012. [CODE]

[054] Junzhou Huang, Chen Chen, Leon Axel, "Fast Multi-contrast MRI Reconstruction", In Proc. of the 15th Annual International Conf. on Medical Image Com puting and Computer Assisted Intervention, MICCAI’12, Nice, France, October 2012. [CODE]

[053] Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris Metaxas, "Simplified Labeling Process for Medical Image Segmentation", In Proc. of the 15th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI'12, Nice, France, October 2012.

[052] Chen Chen, Junzhou Huang, "The Benefit of Tree Sparsity in Accelerated MRI", In MICCAI Workshop on Sparsity Techniques in Medical Imaging, STMI'12, Nice, France, October 2012. (Oral Presentation) (Best Paper Award) [CODE]

[051] Chen Chen, Junzhou Huang and Leon Axel, "Accelerated Parallel Magnetic Resonance Imaging with Joint Gradient and Wavelet Sparsity", In MICCAI Workshop on Sparsity Techniques in Medical Imaging, STMI'12, Nice, France, October 2012. [CODE]

[050] Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang and Dimitris Metaxas, "3D Anatomical Shape Atlas Construction using Mesh Quality Preserved Deformable Models", In MICCAI Workshop on Mesh Processing in Medical Image Analysis, MeshMed'12, Nice, France, October 2012.

[049] Xinyi Cui, Junzhou Huang, Shaoting Zhang and Dimitris Metaxas, "Background Subtraction using Group Sparsity and Low Rank Constraint", In Proc. of the 12th European Conference on Computer Vision, ECCV'12, Firenze, Italy, October 2012.

[048] Fei Yang, Junzhou Huang, Xiang Yu, Dimitris Metaxas, "Robust Face Tracking with a Consumer Depth Camera", IEEE International Conference on Image Processing, ICIP'12, Orlando, Florida, USA, September 2012.

[047] Fei Yang, Xiang Yu, Junzhou Huang, Peng Yang, Dimitris Metaxas, "Robust Eyelid Tracking for Fatigue Detection", IEEE International Conference on Image Processing, ICIP'12, Orlando, Florida, USA, September 2012.

[046] Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang and Dimitris Metaxas, "Learning Active Facial Patches for Expression Analysis". In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'12, Providence, Rhode Island, USA, June 2012.

[045] Xinyi Cui, Shaoting Zhang, Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, Leon Axel, "Left Endocardium Segmentation using Spatio-temporal Metamorphs". IEEE International Symposium on Biomedical Imaging, ISBI'12, Barcelona, Spain, May 2012.

[044] Junzhou Huang, Fei Yang, "Compressed Magnetic Resonace Imaging Based on Wavelet Sparsity and Nonlocal Total Variation". IEEE International Symposium on Biomedical Imaging, ISBI'12, Barcelona, Spain, May 2012. [CODE]

[043] Shaoting Zhang, Junzhou Huang, Hongsheng Li and Dimitris Metaxas, "Automatic Image Annotation and Retrieval Using Group Sparsity". IEEE Transactions on Systems, Man, and Cybernetics: Part B (TSMC), Volume 42, Issue 3, pp. 838-849, June 2012. [CODE]

[042] Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Towards Robust and Effective Shape Modeling: Sparse Shape Composition". Medical Image Analysis, Volume 16, Issue 1, pp. 265-277, January 2012. [CODE]

2011

[041] Junzhou Huang, Tong Zhang and Dimitris Metaxas."Learning With Structured Sparsity", Journal of Machine Learning Research, Volume 12, pp. 3371-3412, November 2011. (Tech Report arXiv:0903.3002, March 2009). [CODE]

[040] Junzhou Huang, Shaoting Zhang, Hongsheng Li, Dimitris Metaxas, "Composite Splitting Algorithms for Convex Optimization", Computer Vision and Image Understanding, Volume 115, Number 12, pp. 1610-1622, December 2011. [CODE]

[039] Junzhou Huang, Shaoting Zhang, Dimitris Metaxas, "Efficient MR Image Reconstruction for Compressed MR Imaging", Medical Image Analysis, Volume 15, Issue 5, pp. 670-679, October 2011. [CODE]

[038] Athina P. Petropulu, Yao Yu and Junzhou Huang, "On Exploring Sparsity in Widely Separated MIMO Radar". In Proc. of Asilomar Conference on Signals, Systems & Computers, Asilomar'11, November 2011.

[037] Hongsheng Li, Junzhou Huang, Shaoting Zhang, and Xiaolei Huang, "Optimal Object Matching via Convexification and Composition", In Proc. of the 13th International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011. [video 1] [video 2] [video 3] [video 4]

[036] Tian Shen, Xiaoleo Huang, Hongsheng Li, Edward Kim, Shaoting Zhang, and Junzhou Huang, "A 3D Laplacian-Driven Parametric Deformable Model", In Proc. of the 13th International Conference on Computer Vision, ICCV'11, Barcelona, Spain, November 2011.

[035] Shaoting Zhang, Junzhou Huang, Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos and Dimitris N. Metaxas, "3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models", In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011.

[034] Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Deformable Segmentation via Sparse Shape Composition: Towards the Robustness to Weak Appearance Cues", In Proc. of the 14th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'11, Toronto, Canada, September 2011. (MICCAI Young Scientist Award Runners Up)

[033] Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, "Robust Tracking Using Local Sparse Appearance Model and K-Selection", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'11, Colorado Springs, Colorado, USA, June 2011. Oral presentation.

[032] Shaoting Zhang, Yiqiang Zhan, Maneesh Dewan, Junzhou Huang, Dimitris Metaxas and Xiang Zhou, "Sparse Shape Composition: A New Framework for Shape Prior Modeling", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'11, Colorado Springs, Colorado, USA, June 2011.

[031] Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitri Metaxas, Leon Axel, "4D Cardiac Reconstruction Using High Resolution CT Images", In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH'11, New York, USA, May 2011. (Oral presentation). (Best Paper Award)

[030] Shaoting Zhang, Mustafa Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitri Metaxas, Leon Axel, "Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI", In Proc. of the 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH'11, New York, USA, May 2011.

[029] Shaoting Zhang, Junzhou Huang, Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos, Dimitris Metaxas, "3D Segmentation of Rodent Brain Structures Using Active Volume Model With Shape Priors", In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’11, Chicago, Illinois, USA, March 2011. Oral presentation.

[028] Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe Restif, Xiaolei Huang, Dimitris Metaxas, "Group Sparsity Based Classification for Cervigram Segmentation", In Proc. of IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’11, Chicago, Illinois, USA, March 2011.

[027] Fei Yang, Junzhou Huang, Dimitris Metaxas, "Sparse Shape Registration for Occluded Facial Feature Localization", In Proc. of the 9th Conference on Automatic Face and Gesture Recognition, FG'11, Santa Barbara, California, USA, March 2011.

[026] Fei Yang, Junzhou Huang, Peng Yang, Dimitris Metaxas, "Eye Localization through Multiscale Sparse Dictionaries", In Proc. the 9th Conference on Automatic Face and Gesture Recognition, FG' 11, Santa Barbara, California, USA, March 2011.

[025] Shaoting Zhang, Junzhou Huang and Dimitris Metaxas, "Robust Mesh Editing Using Laplacian Coordinates", Graphical Models, Volume 73, Issue 1, pp.10-19, January, 2011. [CODE]

2010

[024] Junzhou Huang, Shaoting Zhang and Dimitris Metaxas. " Efficient MR Image Reconstruction for Compressed MR Imaging ", In Proc. of the 13th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'10, Beijing, China, Septerm 2010. Oral presentation. MICCAI Young Scientist Award. [CODE]

[023] Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir Kulikowski, ”Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization”, In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010.

[022] Junzhou Huang, Shaoting Zhang and Dimitris Metaxas. " Fast Optimization for Mixture Prior Models ", In Proc. of the 11th European Conference on Computer Vision, ECCV'10, Crete, Greece, September 2010. [CODE]

[021] Junzhou Huang and Tong Zhang. "The Benefit of Group Sparsity", Annals of Statistics, Volume 38, Number 4, pp.1978-2004, August 2010.

[020] Tian Shen, Shaoting Zhang, Junzhou Huang, Xiaolei Huang and Dimitris Metaxas, "Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models", book chapter, to appear in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Springer, 2010.

[019] Shaoting Zhang, Junzhou Huang,Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris Metaxas, "Automatic Image Annotation Using Group Sparsity", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'10, San Francisco, USA, June 2010. Oral presentation. [CODE]

[018] Shaoting Zhang, Junzhou Huang, Wei Wang, Xiaolei Huang, Dimitris Metaxas, "Cervigram Image Segmentation Based on Reconstructive Sparse Representations", In Proc. of SPIE, Medical Imaging: Image Processing, San Diego, USA, February 2010. Oral presentation. [Slides]

[017] Shaoting Zhang, Junzhou Huang, Wei Wang, Xiaolei Huang, Dimitris Metaxas, "Discriminative Sparse Representations for Cervigram Image Segmentation", In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'10, Rotterdam, Netherlands, April 2010.

2009

[016] Junzhou Huang, Tong Zhang, Dimitris Metaxas, "Learning with Structured Sparsity", In Proc. of the 26th International Conference on Machine Learning, ICML'09, Montreal, Quebec, Canada, June 2009. Oral presentation. [Slides] [CODE]

[015] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Learning with Dynamic Group Sparsity", In Proc. of the 12th International Conference on Computer Vision, ICCV'09, Kyoto, Japan, October 2009. Oral presentation. [Slides] [CODE]

2008

[014] Junzhou Huang, Zhen Qian, Xiaolei Huang, Dimitris Metaxas, Leon Axel, "Tag Separation in Cardiac Tagged MRI", In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008.

[013] Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou Huang, Dimitris Metaxas, Leon Axel, "Active Volume Models with Probabilistic Object Boundary Prediction Module", In Proc. of the 11th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'08, New York, USA, September 2008.

[012] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Simultaneous Image Transformation and Sparse Representation Recovery", In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'08, Anchorage, AL, USA, June 2008. [CODE]

 

2007

[011] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, "Optimization and Learning for Registration of Moving Dynamic Textures", In Proc. of the 11th International Conference on Computer Vision, ICCV'07, Rio de Janeiro, Brazil, October 2007. Oral presentation.[Slides]

[010] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, and Leon Axel, "Adaptive Metamorphs Model for 3D Medical Image Segmentation", In Proc. of the 10th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'07, pp. 302-310, Brisbane, Australia, October 2007.

[009] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, Leon Axel, "Dynamic Texture Based Heart Location and Segmentation in 4-D Cardiac Images" , In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'07, pp. 852-855, Washington DC, USA, April 2007.

2006

[008] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, Debarata Banerjee, "3D Tumor Shape Reconstruction from 2D Bioluminescence Images and Registration with CT Images", In Proc. of the 1st Workshop on Microscopic Image Analysis with Applications in Biology, MIAAB'06, Arlington, Virginia, USA, April 2006. Oral presentation.

[007] Junzhou Huang, Xiaolei Huang, Dimitris Metaxas, Debarata Banerjee, "3D Tumor Shape Reconstruction from 2D Bioluminescence Images" , In Proc. of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'06, pp. 606-609, Arlington, Virginia, USA, April 2006. Oral presentation.

2005

[006] Junzhou Huang, Tieniu Tan, Li Ma, Yunhong Wang, "Phase Correlation Based Iris Image Registration Model", Journal of Computer Science and Technology, Vol. 20, No. 2, pp. 419-425, March 2005.

2004

[005] Junzhou Huang , Yunhong Wang, Jiali Cui, Tieniu Tan, "Noise Removal and Impainting Model for Iris Image", In Proc. of International Conference on Image Processing, ICIP'04, pp. 869-872, October 2004.

[004] Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui, "A New Iris Segmentation Method for Recognition", In Proc. of the 17th International Conference on Pattern Recognition, ICPR'04 (3), pp. 554-557, August 2004.

[003] Jiali Cui, Yunhong Wang, Junzhou Huang, Tieniu Tan, Zenan Sun, "An Iris Image Synthesis Method Based on PCA and Super-Resolution", In Proc. of the 17th International Conference on Pattern Recognition, ICPR'04 (4), pp. 471-474, August 2004.

[002] Junzhou Huang, Li Ma, and Yunhong Wang and Tieniu Tan, "Iris Recognition Based on Local Orientation Description", In Proc. of Asian Conference on Computer Vision, ACCV'04, pp. 954-959, Korea, January 2004.

2003

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