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    Author information
    First name: Heng
    Last name: Huang
    DBLP: 03/281
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 234  
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    Conference paper
    Afaf Tareef, Yang Song, Tom Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, David Dagan Feng, Mei Chen.
    Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation.
    Neurocomputing 2017, Volume 221 (0) 2017
    Conference paper
    Feiping Nie, Xiaoqian Wang, Heng Huang.
    Multiclass Capped ??p-Norm SVM for Robust Classifications.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Hongchang Gao, Feiping Nie, Heng Huang.
    Local Centroids Structured Non-Negative Matrix Factorization.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Zhouyuan Huo, Heng Huang.
    Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang.
    Semi-Supervised Classifications via Elastic and Robust Embedding.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Zhouyuan Huo, Shangqian Gao, Tom Weidong Cai, Heng Huang.
    Video Recovery via Learning Variation and Consistency of Images.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen 0001, Heng Huang.
    Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
    Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Kamran Ghasedi Dizaji, Amirhossein Herandi, Heng Huang.
    Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Afaf Tareef, Yang Song, Heng Huang, Yue Wang, David Dagan Feng, Mei Chen, Tom Weidong Cai.
    Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling.
    Neurocomputing 2017, Volume 248 (0) 2017
    Journal article
    Yang Song, Qing Li, Fan Zhang, Heng Huang, David Dagan Feng, Yue Wang, Mei Chen, Tom Weidong Cai.
    Dual discriminative local coding for tissue aging analysis.
    Medical Image Analysis 2017, Volume 38 (0) 2017
    Conference paper
    Hua Wang, Lin Yan, Heng Huang, Chris H. Q. Ding.
    From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.
    IEEE/ACM Trans. Comput. Biology Bioinform. 2017, Volume 14 (0) 2017
    Conference paper
    Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen 0001, Heng Huang.
    Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
    Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo 0002, Tianming Liu.
    Modeling Task fMRI Data via Deep Convolutional Autoencoder.
    Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Yang Song, Qing Li, Heng Huang, David Dagan Feng, Mei Chen, Tom Weidong Cai.
    Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification.
    IEEE Trans. Med. Imaging 2017, Volume 36 (0) 2017
    Conference paper
    Bin Gu, Guodong Liu, Heng Huang.
    Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang.
    Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang.
    Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Feiping Nie, Zhouyuan Huo, Heng Huang.
    Joint Capped Norms Minimization for Robust Matrix Recovery.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Korris Fu-Lai Chung, Heng Huang.
    Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Yang Song, Hang Chang, Heng Huang, Tom Weidong Cai.
    Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu.
    Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Peng Li, Heng Huang.
    Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Peng Li, Heng Huang.
    Clinical Information Extraction via Convolutional Neural Network.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Feiping Nie, Heng Huang.
    Non-Greedy L21-Norm Maximization for Principal Component Analysis.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang.
    The Constrained Laplacian Rank Algorithm for Graph-Based Clustering.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
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