Publications

Pre Print

  1. Changsheng, Siyu Xia, Ming Shao, and Yun Fu, High-quality Ellipse Detection Based on Arc-support Line Segments, arXiv:1810.03243.
  2. Zhengming Ding, and Ming Shao, Robust Knowledge Discovery via Low-rank Modeling, arXiv:1909.13123v1.
  3. Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, and Ming Shao, Cost-sensitive Selection of Variables by Ensemble of Model Sequences, arXiv:1901.00456v1, 2019.

Book Chapters

  1. Ming Shao, Mingbo Ma, and Yun Fu, Sparse Manifold Subspace Learning, Low-Rank and Sparse Modeling for Visual Analysis, pages 87–115, Springer, 2014. [pdf] [bib]
  2. Ming Shao, Dmitry Kit, and Yun Fu, Low-Rank Transfer Learning, Low-Rank and Sparse Modeling for Visual Analysis, pages 117–132, Springer, 2014. [pdf] [bib]
  3. Sheng Li, Ming Shao, and Yun Fu, Low-Rank Outlier Detection, Low-Rank and Sparse Modeling for Visual Analysis, pages 181–202, Springer, 2014. [pdf] [bib]
  4. Ming Shao, Siyu Xia, and Yun Fu, Identity and Kinship Relations in Group Pictures, Human-Centered Social Media Analytics, pages 191–206, Springer, 2013. [pdf] [bib]
  5. Ming Shao, Yun Fu, Recognizing Occupations through Probabilistic Models: A Social View, Human-Centered Social Media Analytics, pages 175–190, Springer, 2013. [pdf] [bib]

Journals

  1. Changsheng, Siyu Xia, Ming Shao, and Yun Fu, High-quality Ellipse Detection Based on Arc-support Line Segments, IEEE Transactions on Image Processing, 2019 (in press).
  2. Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu, Robust Discriminative Metric Learning for Image Representation, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018 (in press).
  3. Hongfu Liu, Ming Shao, and Yun Fu, Feature Selection with Unsupervised Consensus Guidance, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 (in press).
  4. Zhengming Ding, Ming Shao, and Yun Fu, Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 (in press).
  5. Hongfu Liu, Ming Shao, Zhengming Ding, and Yun Fu, Structure-Preserved Unsupervised Domain Adaptation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 (in press).
  6. Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, and Yun Fu,, Visual Kinship Recognition of Families in the Wild, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 (in press).
  7. Sheng Li, Ming Shao, and Yun Fu, Multi-View Low-Rank Analysis with Applications to Outlier Detection, ACM Transactions on Knowledge Discovery from Data (TKDD), 2017 (in press).
  8. Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, and Yun Fu, Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions, IEEE Transactions on Image Processing (TIP), 2017 (in press).
  9. Sheng Li, Ming Shao, and Yun Fu, Person Re-identification by Cross-View Multi-Level Dictionary Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017 (in press). [pdf]
  10. Shuhui Jiang, Ming Shao, Chengcheng Jia, and Yun Fu, Learning Consensus Representation for Weak Style Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017 (in press). [pdf]
  11. Hongfu Liu, Ming Shao, Sheng Li, and Yun Fu, Infinite Ensemble Clustering, Data Mining and Knowledge Discovery (DMKD), 2017. [pdf]
  12. Ming Shao, Yizhe Zhang, and Yun Fu, Collaborative Random Faces Guided Encoders for Pose-Invariant Face Representation Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017 (in press). [pdf] [bib]
  13. Yu Kong, Ming Shao, Kang Li, and Yun Fu, Probabilistic Low-Rank Multi-Task Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017 (in press). [pdf]
  14. Zhengming Ding, Ming Shao, and Yun Fu, Incomplete Multi-Source Transfer Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016 (in press). [pdf]
  15. Chengcheng Jia, Ming Shao, and Yun Fu, Sparse Canonical Temporal Alignment with Deep Tensor Decomposition for Action Recognition, IEEE Transactions on Image Processing (TIP), vol. 26, no. 2, pages 738–750, 2017. [pdf] [bib]
  16. Ming Shao, Xindong Wu, and Yun Fu, Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure, IEEE Transactions on Big Data (TBD), vol. 2, no. 4, pages 365–380, 2016. [pdf] [bib]
  17. Ming Shao, and Yun Fu, Cross-Modality Feature Learning through Generic Hierarchical Hyperlingual-Words, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol 28, no. 2, pages 451–463, 2017. [pdf] [bib]
  18. Zhengming Ding, Ming Shao, and Yun Fu, Missing Modality Transfer Learning via Latent Low-Rank Constraint, IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pages 4322–4334, 2015. [pdf] [bib]
  19. Ming Shao, Dmitry Kit, and Yun Fu, Generalized Transfer Subspace Learning through Low-Rank Constraint, International Journal on Computer Vision (IJCV), vol. 109, no. 1-2, pages 74–93, 2014. [pdf] [bib]
  20. Siyu Xia*, Ming Shao*, Jiebo Luo, and Yun Fu , Understanding Kin Relationships in a Photo, IEEE Transactions on Multimedia(T-MM), vol. 14, no. 4, pages 1046–1056, 2012. (* indicates equal contributions) [pdf] [bib]

Conferences

2019

  1. Chetan Kumar, Riazat Ryan, and Ming Shao, Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial
    Attacks, AAAI Conference on Artificial Intelligence (AAAI), 2020 (oral presentation).
  2. Riazat Ryan, Handong Zhao, and Ming Shao, CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression, IEEE International Conference on Big Data (BigData), 2019 (regular paper).
  3. Zhangxing Bian, Siyu Xia, Chao Xiay, and Ming Shao, Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation, International Conference on Bioinformatics & Biomedicine (BIBM), 2019.
  4. Chengyao Zheng, Siyu Xia, Ming Shao, and Yun Fu, Fast Facial Image Analogy with Spatial Guidance,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2019.

2018

  1. Chao Xiao, Siyu Xia, Ming Shao, and Yun Fu, Album to Family Tree: A Graph based Method for Family Relationship Recognition, Asian Conference on Computer Vision (ACCV), 2018.
  2. Zhengming Ding, Ming Shao, Sheng Li, and Yun Fu, Generic Embedded Semantic Dictionary for Robust Multi-label Classification, IEEE International Conference on Big Knowledge (ICBK), 2018.
  3. Zhengming Ding, Sheng Li, Ming Shao, and Yun Fu, Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation, European Conference on Computer Vision (ECCV), 2018.
  4. Bin Sun, Ming Shao, Siyu Xia, and Yun Fu, Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment, British Machine Vision Conference (BMVC), 2018.
  5. Chao Xia, Siyu Xia, Yuan Zhou, Le Zhang and Ming Shao, Graph based family relationship recognition from a single image, Pacific Rim International Conference on Artificial Intelligence (PRICAI). 2018.
  6. Zhengming Ding, Ming Shao, and Yun Fu, Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption, International Joint Conference on Artificial Intelligence (IJCAI), 2018.

2017

  1. Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, and Yun Fu, Circle Detection by Arc-Support Line Segments, IEEE International Conference on Image Processing (ICIP), 2017.
  2. Junkang Zhang, Siyu Xia, Ming Shao, and Yun Fu, Family Photo Recognition via Multiple Instance Learning, ACM International Conference on Multimedia Retrieval (ICMR), 2017. [pdf]
  3. Zhengming Ding, Ming Shao, and Yun Fu. Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]

2016

  1. Hongfu Liu, Ming Shao, and Yun Fu, Structure-Preserved Multi-Source Domain Adaptation, IEEE International Conference on Data Mining (ICDM), pages 1059–1064, 2016. [pdf] [bib]
  2. Zhengming Ding, Ming Shao, and Yun Fu, Deep Robust Encoder through Locality Preserving Low-Rank Dictionary, European Conference on Computer Vision (ECCV), pages 567–582, 2016. [pdf] [bib]
  3. Joseph  Robinson, Ming  Shao, Yue  Wu, and Yun  Fu, Family in the wild (FIW): Large-Scale Kinship Image Database and Benchmarks, ACM Multimedia Conference, pages 242–246, 2016. [pdf] [bib]
  4. Hongfu Liu, Ming Shao, Sheng Li, and Yun Fu, Infinite Ensemble for Image Clustering, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 1745–1754, 2016. [pdf] [bib]
  5. Bharat Singh , Michael Jones, Tim Marks, Oncel Tuzel, and Ming Shao, A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1961–1970, 2016. [pdf] [bib]
  6. Zhengming Ding, Ming Shao, and Yun Fu, Transfer Learning for Image Classification with Incomplete Multiple Sources, International Joint Conference on Neural Networks (IJCNN), pages 2188–2195, 2016. [pdf] [bib]
  7. Chengcheng Jia, Ming Shao, and Yun Fu, Sparse Alignment for Video Analysis in Discriminant Tensor Space, International Joint Conference on Neural Networks (IJCNN), pages 2260–2266, 2016. [pdf] [bib]
  8. Ming Shao, Zhengming Ding, Handong Zhao, and Yun Fu, Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation, AAAI Conference on Artificial Intelligence (AAAI), pages 2023–2029, 2016. [pdf] [bib]
  9. Shuhui Jiang, Ming Shao, Chengcheng Jia, and Yun Fu, Consensus Style Centralizing Auto-encoder for Weak Style Classification, AAAI Conference on Artificial Intelligence (AAAI), pages 1223–1229, 2016. [pdf] [bib]
  10. Hongfu Liu, Ming Shao, and Yun Fu, Consensus Guided Unsupervised Feature Selection, AAAI Conference on Artificial Intelligence (AAAI), pages 1874–1880, 2016. [pdf] [bib]

2015

  1. Handong Zhao, Zhengming Ding, Ming Shao, and Yun Fu, Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning, IEEE International Conference on Data Mining (ICDM), pages 1123–1128, 2015. [pdf] [bib]
  2. Ming Shao, Sheng Li, Zhengming Ding, and Yun Fu, Deep Linear Coding for Fast Graph Clustering, International Joint Conferences on Artificial Intelligence (IJCAI), pages 3798–3804, 2015. [pdf] [bib]
  3. Sheng Li, Ming Shao, and Yun Fu, Cross-View Projective Dictionary Learning for Person Re-identification, International Joint Conferences on Articial Intelligence (IJCAI), pages 2155–2161, 2015. [pdf] [bib]
  4. Zhengming Ding, Ming Shao, and Yun Fu, Deep Low-Rank Coding for Transfer Learning, International Joint Conferences on Artificial Intelligence (IJCAI), pages 3453–3459, 2015. [pdf] [bib]
  5. Ming Shao, Zhengming Ding, and Yun Fu, Sparse Low-Rank Fusion based Deep Features for Missing Modality Face Recognition, International Conference on Automatic Face and Gesture Recognition (FG), pages 1–6, 2015. [pdf] [bib]

2014

  1. Sheng Li, Ming Shao, and Yun Fu, Multi-view Low-Rank Analysis for Outlier Detection, SIAM International Conference on Data Mining (SDM), pages 748–756, 2014. [pdf] [bib]
  2. Shuyang Wang, Ming Shao, and Yun Fu, Attractive or Not? Beauty Prediction with Attractiveness-Aware Encoders and Robust Late Fusion, ACM-Multimedia Conference, pages 805–808, 2014. [pdf] [bib]
  3. Zhengming Ding, Ming Shao, and Yun Fu, Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition, AAAI Conference on Artificial Intelligence (AAAI), pages 1192–1198, 2014. [pdf] [bib]
  4. Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas Huang, and Yun Fu, Learning Relative Features Through Adaptive Pooling For Image Classification, IEEE International Conference on Multimedia and Expo (ICME), pages 1–6, 2014, Best Paper Award Candidates. (4 out of 716) [pdf] [bib]
  5. Sheng Li, Ming Shao, and Yun Fu, Locality Linear Fitting One-class SVM with Low-Rank Constraints for Outlier Detection, International Joint Conference on Neural Networks (IJCNN), pages 676–683, 2014. [pdf] [bib]

2013

  1. Ming Shao, Liangyue Li, and Yun Fu, What Do You Do? Occupation Recognition in a Photo via Social Context, International Conference on Computer Vision (ICCV), pages 3631–3638, 2013. [pdf] [bib]
  2. Yizhe Zhang*, Ming Shao*, Edward Wong, and Yun Fu, Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition, International Conference on Computer Vision (ICCV), pages 2416–2323, 2013. (* indicates equal contribution) [pdf] [bib]
  3. Ming Shao, Liangyue Li, Yun Fu, Predicting Professions through Probabilistic Model under Social Context, AAAI Conference on Artificial Intelligence (AAAI), pages 122–124, 2013. [pdf] [bib]
  4. Ming Shao and Yun Fu, Hierarchical Hyperlingual-Words for Multi-Modality Face Classification, International Conference on Automatic Face and Gesture Recognition (FG), pages 1–6, 2013. [pdf] [bib]
  5. Mingbo Ma, Ming Shao, Xu Zhao, and Yun Fu, Prototype Based Feature Learning for Face Image Set Classification, International Conference on Automatic Face and Gesture Recognition (FG), pages 1–6, 2013. [pdf] [bib]
  6. Gaurav Srivastava, Ming Shao, and Yun Fu, Low-Rank Embedding for Semisupervised Face Classification, International Conference on Automatic Face and Gesture Recognition (FG), pages 1–6, 2013. [pdf] [bib]

2012 and Before

  1. Ming Shao, Carlos Castillo, Zhenghong Gu, and Yun Fu, Low-Rank Transfer Subspace Learning, International Conference on Data Mining (ICDM), pages 1104–1109, 2012. [pdf] [bib]
  2. Siyu Xia, Ming Shao, and Yun Fu, Toward Kinship Verication Using Visual Attributes, International Conference on Pattern Recognition (ICPR), pages 549–552, 2012 (Oral Presentation). [pdf] [bib]
  3. Zhenghong Gu, Ming Shao, Liangyue Li, and Yun Fu, Discriminative Metric:Schatten Norm vs. Vector Norm, International Conference on Pattern Recognition (ICPR), pages 1213–1216, 2012. [pdf] [bib]
  4. Wei Chen, Ming Shao, and Yun Fu, Clustering Based Fast Low-Rank Approximation for Large-Scale Graph, IEEE ICDM Workshop on Large Scale Visual Analytics (ICDM-LSVA), pages 787–792, 2011, Best Paper Award. [pdf] [bib]
  5. Siyu Xia*, Ming Shao*, and Yun Fu, Kinship Verification through Transfer Learning, International Joint Conferences on Artificial Intelligence (IJCAI), pages 2539–2544, 2011. (* indicates equal contribution) [pdf] [bib]
  6. Ming Shao, Siyu Xia, and Yun Fu, Genealogical Face Recognition based on UB KinFace Database, IEEE CVPR Workshop on Biometrics (CVPR BIOM), 65–70, 2011. (Database is available now) [pdf] [bib]
  7. Ming Shao, YunhongWang, and Xue Ling, A BEMD Based Normalization Method for Face Recognition under Variable Illuminations, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1114–1117, 2010. [pdf] [bib]
  8. Ming Shao, Yunhong Wang, and Yiding Wang, A Super-Resolution Based Method to Synthesize Visual Images from Near Infrared, International Conference on Image Processing (ICIP), pages 2453–2456, 2009. [pdf] [bib]
  9. Ming Shao, Yunhong Wang, and Peijiang, Liu, Face Relighting Based on Multi-Spectral Quotient Image and Illumination Tensorfaces, Asian Conference on Computer Vision (ACCV), pages 108–117, 2009. [pdf] [bib]
  10. Ming Shao and Yunhong Wang, Joint Features for Face Recognition under Variable Illuminations, International Conference on Image and Graphics (ICIG), pages 922–927, 2009. (Oral Presentation) [pdf] [bib]
  11. Ming Shao and Yunhong Wang, Recovering Facial Intrinsic Images from a Single Input, International Conference on Intelligent Computing (ICIC), pages 82–91, 2009. (Oral Presentation) [pdf] [bib]