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Selected Conference Papers on Machine Learning and Computer Vision

  1. Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang and Chuang Gan, "Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement", In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019.
  2. Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao and Junzhou Huang, "NAT: Neural Architecture Transformer for Accurate and Compact Architectures", In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019.
  3. Ho Chung Leon Law, Peilin Zhao, Lucian Chan, Junzhou Huang and Dino Sejdinovic, "Hyperparameter Learning via Distributional Transfer", In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019.
  4. Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang and Sanguthevar Rajasekaran, "DTWNet: a Dynamic Time Warping Network", In Proc. of the 33rd Annual Conference on Neural Information Processing Systems, NIPS'19, Vancouver, Canada, December 2019.
  5. Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao and Junzhou Huang, "Graph Convolutional Networks for Temporal Action Localization", In Proc. of the 17th International Conference on Computer Vision, ICCV'19, Seoul, Korea, October 2019.
  6. Hanyu Peng, Jiaxiang Wu, Shifeng Chen and Junzhou Huang, “Collaborative Channel Pruning for Deep Networks", In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019.
  7. Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma and Junzhou Huang, “RaFM: Rank-Aware Factorization Machines", In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019.
  8. Huaxiu Yao, Ying Wei, Junzhou Huang and Zhenhui Li, “Hierarchically Structured Meta-learning", In Proc. of International Conference on Machine Learning, ICML'19, Long Beach, CA, USA, June 2019.
  9. Chaoqi Chen, Weiping Xie, Tingyang Xu, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang and Junzhou Huang, “Progressive Feature Alignment for Unsupervised Domain Adaptation", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'19, Long Beach, CA, USA, June 2019.
  10. 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.
  11. 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)
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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)
  22. 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.
  23. 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)
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. Yeqing Li, Chen Chen, Fei Yang and Junzhou Huang, "Deep Sparse Representation for Robust Image Registration", In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'15, Boston, USA, June 2015. (Acceptance rate, 602/2123=28.4% )
  30. 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.
  31. Yeqing Li, Chen Chen, Wei Liu, and Junzhou Huang, "Sub-Selective Quantization for Large-Scale Image Search", In Proc. of the Twenty-Eighth AAAI Conference on Artificial Intelligence, AAAI'14, Québec, Canada, July 2014. (Oral Presentation)
  32. 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)
  33. 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)
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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]
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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]
  44. 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]
  45. 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]
  46. 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]
  47. 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]
  48. 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]

Selected Conference Papers on Biomedical and Biomedicine Science

  1. Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu and Junzhou Huang, "Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation", In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019.
  2. Jiawen Yao, Xinliang Zhu and Junzhou Huang, "Deep Multi-Instance Learning for survival prediction from Whole Slide Images", In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019
  3. Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Mingkui Tan, Qingyao Wu, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao and Junzhou Huang, "From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification", In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019.
  4. Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang and Jianhua Yao, "Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier", In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019.
  5. Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang and Junzhou Huang, "Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning", In Proc. of the 21st Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'19, Shenzhen, China, October 2019.
  6. Sheng Wang, Yuzhi Guo, Yuhong Wang, Hongmao Sun and Junzhou Huang, "SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction", In Proc. of The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB'19, Niagara Falls, NY, USA, September 2019.
  7. Sheng Wang, Zheng Xu, Chaochao Yan and Junzhou Huang, “Graph Convolutional Nets for Tool Presence Detection in Surgical Videos", In Proc. of The 26th International Conference on Information Processing in Medical Imaging, IPMI'19, Hong Kong, China, June 2019.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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)
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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)
  19. 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.
  20. 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% )
  21. 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)
  22. 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.
  23. Yeqing Li, Chen Chen, Xiaolei Huang and Junzhou Huang, “Instrument Tracking via Online Learning in Retinal Microsurgery”, In Proc. of the 16th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'14, Boston, USA, September 2014. (Oral Presentation) (MICCAI Young Scientist Award Runners Up)
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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)
  31. 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)
  32. Junzhou Huang, Shaoting Zhang and Dimitris Metaxas. " Efficient MR Image Reconstruction for Compressed MR Imaging ", In Proc. of the 13th Annual International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI'10, Beijing, China, September 2010. Oral presentation. MICCAI Young Scientist Award. [CODE]
  33. 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.
  34. 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.
  35. 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.

 

Selected Journal Papers

  1. 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.
  2. Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Lateckib, Bo Wang and Junzhou Huang, "Weakly Supervised Mitosis Detection in Breast Histopathology Images Using Concentric Loss", Medical Image Analysis, Volume 53, pp.165-178, April 2019.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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
  14. 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.
  15. 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.
  16. 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.
  17. 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]
  18. 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]
  19. 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]
  20. Junzhou Huang and Tong Zhang, "The Benefit of Group Sparsity", Annals of Statistics, Volume 38, Number 4, pp.1978-2004, August 2010.

Thesis

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