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Ming Shao
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2020 – today
- 2024
- [j42]John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari:
Investigation of electro-vascular phase-amplitude coupling during an auditory task. Comput. Biol. Medicine 169: 107902 (2024) - [j41]P. Pandey, John McLinden, Neela Rahimi, Chetan Kumar, Ming Shao, Kevin M. Spencer, Sarah Ostadabbas, Yalda Shahriari:
fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. Eng. Appl. Artif. Intell. 137: 109256 (2024) - [j40]Neela Rahimi, Ming Shao:
Utilizing Inherent Bias for Memory Efficient Continual Learning: A Simple and Robust Baseline. Image Vis. Comput. 151: 105288 (2024) - [c84]Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia:
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. FG 2024: 1-10 - [c83]Yinjie Zhang, Ming Shao, Wenlong Shi, Haifeng Xia, Siyu Xia:
Autonomous Generative Feature Replay for Non-Exemplar Class-Incremental Learning. ICASSP 2024: 5760-5764 - [c82]Jun Yin, Keyang Wang, Fei Wu, Ming Shao:
Task-aware Disentanglement for Object Detection. IJCNN 2024: 1-8 - [c81]Wangguandong Zheng, Haifeng Xia, Rui Chen, Libo Sun, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. ACM Multimedia 2024: 3617-3626 - [c80]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. WACV 2024: 1837-1848 - [i18]Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. CoRR abs/2404.01843 (2024) - [i17]Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia:
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. CoRR abs/2404.19383 (2024) - 2023
- [j39]Ming Shao, Zi Che, Yizhou Lu:
Research on visual size and visual alignment optimization of icon set design. Displays 80: 102571 (2023) - [j38]Jing Liu, Ming Shao, Minghui sun:
The forecast of power consumption and freshwater generation in a solar-assisted seawater greenhouse system using a multi-layer perceptron neural network. Expert Syst. Appl. 213(Part): 119289 (2023) - [j37]Chengxian Li, Ming Shao, Qirui Yang, Siyu Xia:
High-precision skeleton-based human repetitive action counting. IET Comput. Vis. 17(6): 700-709 (2023) - [j36]Xin Dong, Lijuan Ruan, Ming Shao, Yongjie Sun, Zebo Tang, Zhangbu Xu, Wangmei Zha, Yifei Zhang:
Dilepton Program with Time-of-Flight Detector at the STAR Experiment. Symmetry 15(2): 392 (2023) - [j35]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4440-4450 (2023) - [c79]Chetan Kumar, Neela Rahimi, Rohan Gonjari, John McLinden, Sarah M. Ismail Hosni, Yalda Shahriari, Ming Shao:
Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. EMBC 2023: 1-4 - [c78]Junjie Zou, Ming Shao, Siyu Xia:
Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation. ICIP 2023: 895-899 - [c77]John McLinden, Seyyed Bahram Borgheai, Chetan Kumar, Neela Rahimi, Ming Shao, Kevin M. Spencer, Yalda Shahriari:
Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study. NER 2023: 1-4 - [i16]Rui Ming, Haiping Xu, Shannon E. Gibbs, Donghui Yan, Ming Shao:
A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis. CoRR abs/2302.11707 (2023) - [i15]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. CoRR abs/2312.01315 (2023) - 2022
- [j34]Joseph P. Robinson, Ming Shao, Yun Fu:
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4432-4453 (2022) - [j33]Wei Xu, Donghai Xiang, Guotai Wang, Ruisong Liao, Ming Shao, Kang Li:
Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN). IEEE Trans. Hum. Mach. Syst. 52(2): 196-206 (2022) - [j32]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship. IEEE Trans. Multim. 24: 3582-3594 (2022) - [j31]Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, Siyu Xia:
Music2Dance: DanceNet for Music-Driven Dance Generation. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 65:1-65:21 (2022) - [c76]Tian Wang, Changsheng Lu, Ming Shao, Xiaohui Yuan, Siyu Xia:
ElDet: An Anchor-Free General Ellipse Object Detector. ACCV (3) 2022: 223-238 - [c75]Riazat Ryan, Ming Shao:
Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments. IEEE Big Data 2022: 1356-1361 - [c74]Zhiheng Peng, Ming Shao, Siyu Xia:
TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval. PRCV (3) 2022: 308-319 - [c73]Chetan Kumar, Deepak Kumar, Ming Shao:
Generative Adversarial Attack on Ensemble Clustering. WACV 2022: 3839-3848 - [i14]Yapeng Teng, Haoyang Li, Fuzhen Cai, Ming Shao, Siyu Xia:
Unsupervised Visual Defect Detection with Score-Based Generative Model. CoRR abs/2211.16092 (2022) - 2021
- [j30]Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao:
Removal notice to "VitSeg: Weakly supervised vitiligo segmentation in skin image" [Comput. Med. Imag. Graph. 85 (2020) 101779]. Comput. Medical Imaging Graph. 91: 85 (2021) - [j29]Deepak Kumar, Chetan Kumar, Ming Shao:
Collaborative knowledge distillation for incomplete multi-view action prediction. Image Vis. Comput. 107: 104111 (2021) - [j28]Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao:
Cost-sensitive selection of variables by ensemble of model sequences. Knowl. Inf. Syst. 63(5): 1069-1092 (2021) - [c72]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG 2021: 1-7 - [c71]Jiaxuan Zhu, Ming Shao, Chao Xia, Hong Pan, Siyu Xia:
Adversarial Attacks on Kinship Verification using Transformer. FG 2021: 1-8 - [c70]Pengyu Gao, Joseph P. Robinson, Jiaxuan Zhu, Chao Xia, Ming Shao, Siyu Xia:
DNA-Net: Age and Gender Aware Kin Face Synthesizer. ICME 2021: 1-6 - [i13]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR abs/2111.00598 (2021) - 2020
- [j27]Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection. IEEE Trans. Image Process. 29: 768-781 (2020) - [c69]Chetan Kumar, Riazat Ryan, Ming Shao:
Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks. AAAI 2020: 11304-11311 - [c68]Chengyao Zheng, Siyu Xia, Joseph P. Robinson, Changsheng Lu, Wayne Wu, Chen Qian, Ming Shao:
Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending. ACCV (5) 2020: 206-222 - [c67]Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. FG 2020: 857-862 - [c66]Deepak Kumar, Chetan Kumar, Chun-Wei Seah, Siyu Xia, Ming Shao:
Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition. ACM Multimedia 2020: 3829-3837 - [c65]Todd Morehouse, Neela Rahimi, Ming Shao, Ruolin Zhou:
Baseband Modulation Classification using Incremental Learning. MWSCAS 2020: 225-228 - [i12]Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. CoRR abs/2002.06303 (2020) - [i11]Wenlin Zhuang, Yangang Wang, Joseph P. Robinson, Congyi Wang, Ming Shao, Yun Fu, Siyu Xia:
Towards 3D Dance Motion Synthesis and Control. CoRR abs/2006.05743 (2020) - [i10]Joseph P. Robinson, Ming Shao, Yun Fu:
Visual Kinship Recognition: A Decade in the Making. CoRR abs/2006.16033 (2020) - [i9]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship. CoRR abs/2007.14509 (2020) - [i8]Taotao Jing, Ming Shao, Zhengming Ding:
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation. CoRR abs/2008.11360 (2020)
2010 – 2019
- 2019
- [j26]Zhengming Ding, Ming Shao, Yun Fu:
Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2861-2874 (2019) - [j25]Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu:
Robust Discriminative Metric Learning for Image Representation. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3173-3183 (2019) - [j24]Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu:
Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(4): 799-812 (2019) - [j23]Hongfu Liu, Ming Shao, Yun Fu:
Feature Selection with Unsupervised Consensus Guidance. IEEE Trans. Knowl. Data Eng. 31(12): 2319-2331 (2019) - [c64]Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao:
Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation. BIBM 2019: 931-934 - [c63]Riazat Ryan, Handong Zhao, Ming Shao:
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression. IEEE BigData 2019: 145-154 - [c62]Chengyao Zheng, Siyu Xia, Ming Shao, Yun Fu:
Fast Facial Image Analogy with Spatial Guidance. FG 2019: 1-5 - [c61]ZhiMing Liu, Ming Shao, Jin Wang, Kaide Li, Yaonong Wang, Miao Cheng:
Exclusion-Net: Accurate Detection Algorithm for Crowd Objects. ICIT 2019: 187-191 - [i7]Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao:
Cost-sensitive Selection of Variables by Ensemble of Model Sequences. CoRR abs/1901.00456 (2019) - [i6]Zhengming Ding, Ming Shao:
Robust Knowledge Discovery via Low-rank Modeling. CoRR abs/1909.13123 (2019) - [i5]Bin Sun, Ming Shao, Siyu Xia, Yun Fu:
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network. CoRR abs/1910.11818 (2019) - [i4]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution. CoRR abs/1910.11853 (2019) - [i3]Pengyu Gao, Siyu Xia, Joseph P. Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu:
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer. CoRR abs/1911.07014 (2019) - 2018
- [j22]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite ensemble clustering. Data Min. Knowl. Discov. 32(2): 385-416 (2018) - [j21]Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu:
Visual Kinship Recognition of Families in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2624-2637 (2018) - [j20]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Learning Consensus Representation for Weak Style Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2906-2919 (2018) - [j19]Sheng Li, Ming Shao, Yun Fu:
Person Re-Identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2963-2977 (2018) - [j18]Qiyun Huang, Shenghong He, Qihong Wang, Zhenghui Gu, Nengneng Peng, Kai Li, Yuandong Zhang, Ming Shao, Yuanqing Li:
An EOG-Based Human-Machine Interface for Wheelchair Control. IEEE Trans. Biomed. Eng. 65(9): 2023-2032 (2018) - [j17]Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu:
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. IEEE Trans. Image Process. 27(4): 1878-1887 (2018) - [j16]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowl. Discov. Data 12(3): 32:1-32:22 (2018) - [j15]Zhengming Ding, Ming Shao, Yun Fu:
Incomplete Multisource Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 29(2): 310-323 (2018) - [j14]Yu Kong, Ming Shao, Kang Li, Yun Fu:
Probabilistic Low-Rank Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 29(3): 670-680 (2018) - [j13]Ming Shao, Yizhe Zhang, Yun Fu:
Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1019-1032 (2018) - [c60]Chao Xia, Siyu Xia, Ming Shao, Yun Fu:
Album to Family Tree: A Graph Based Method for Family Relationship Recognition. ACCV (2) 2018: 496-510 - [c59]Venkata Suhas Maringanti, Ming Shao:
Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation. IEEE BigData 2018: 3766-3773 - [c58]Bin Sun, Ming Shao, Siyu Xia, Yun Fu:
Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment. BMVC 2018: 256 - [c57]Zhengming Ding, Sheng Li, Ming Shao, Yun Fu:
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. ECCV (2) 2018: 36-52 - [c56]Yu Li, Ming Shao, Hailong Jiao, Adam Cron, Sandeep Bhatia, Erik Jan Marinissen:
IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers. ETS 2018: 1-6 - [c55]Zhengming Ding, Ming Shao, Sheng Li, Yun Fu:
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. ICBK 2018: 282-289 - [c54]Zhengming Ding, Ming Shao, Yun Fu:
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. IJCAI 2018: 5434-5440 - [c53]Joseph P. Robinson, Ming Shao, Yun Fu:
To Recognize Families In the Wild: A Machine Vision Tutorial. ACM Multimedia 2018: 2096-2097 - [c52]Chao Xia, Siyu Xia, Yuan Zhou, Le Zhang, Ming Shao:
Graph Based Family Relationship Recognition from a Single Image. PRICAI (1) 2018: 310-320 - [i2]Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
High-quality Ellipse Detection Based on Arc-support Line Segments. CoRR abs/1810.03243 (2018) - 2017
- [j12]Rui Zhang, Qihong Wang, Kai Li, Shenghong He, Si Qin, Zhenghui Feng, Yang Chen, Pingxia Song, Tingyan Yang, Yuandong Zhang, Zhuliang Yu, Yaohua Hu, Ming Shao, Yuanqing Li:
A BCI-Based Environmental Control System for Patients With Severe Spinal Cord Injuries. IEEE Trans. Biomed. Eng. 64(8): 1959-1971 (2017) - [j11]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition. IEEE Trans. Image Process. 26(2): 738-750 (2017) - [j10]Ming Shao, Yun Fu:
Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words. IEEE Trans. Neural Networks Learn. Syst. 28(2): 451-463 (2017) - [c51]Deepak Kumar, Chetan Kumar, Ming Shao:
Cross-database mammographic image analysis through unsupervised domain adaptation. IEEE BigData 2017: 4035-4042 - [c50]Zhengming Ding, Ming Shao, Yun Fu:
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. CVPR 2017: 6005-6013 - [c49]Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, Yun Fu:
Circle detection by arc-support line segments. ICIP 2017: 76-80 - [c48]Junkang Zhang, Siyu Xia, Ming Shao, Yun Fu:
Family Photo Recognition via Multiple Instance Learning. ICMR 2017: 424-428 - [c47]Joseph P. Robinson, Ming Shao, Handong Zhao, Yue Wu, Timothy Gillis, Yun Fu:
RFIW: Large-Scale Kinship Recognition Challenge. ACM Multimedia 2017: 1971-1973 - 2016
- [j9]Ming Shao, Xindong Wu, Yun Fu:
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure. IEEE Trans. Big Data 2(4): 365-380 (2016) - [c46]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Consensus Style Centralizing Auto-Encoder for Weak Style Classification. AAAI 2016: 1223-1229 - [c45]Hongfu Liu, Ming Shao, Yun Fu:
Consensus Guided Unsupervised Feature Selection. AAAI 2016: 1874-1880 - [c44]Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu:
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. AAAI 2016: 2023-2029 - [c43]Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao:
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. CVPR 2016: 1961-1970 - [c42]Zhengming Ding, Ming Shao, Yun Fu:
Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. ECCV (6) 2016: 567-582 - [c41]Hongfu Liu, Ming Shao, Yun Fu:
Structure-Preserved Multi-source Domain Adaptation. ICDM 2016: 1059-1064 - [c40]Zhengming Ding, Ming Shao, Yun Fu:
Transfer learning for image classification with incomplete multiple sources. IJCNN 2016: 2188-2195 - [c39]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse alignment for video analysis in discriminant Tensor space. IJCNN 2016: 2260-2266 - [c38]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite Ensemble for Image Clustering. KDD 2016: 1745-1754 - [c37]Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu:
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks. ACM Multimedia 2016: 242-246 - [i1]Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu:
Family in the Wild (FIW): A Large-scale Kinship Recognition Database. CoRR abs/1604.02182 (2016) - 2015
- [j8]Zhengming Ding, Ming Shao, Yun Fu:
Missing Modality Transfer Learning via Latent Low-Rank Constraint. IEEE Trans. Image Process. 24(11): 4322-4334 (2015) - [c36]Ming Shao, Zhengming Ding, Yun Fu:
Sparse low-rank fusion based deep features for missing modality face recognition. FG 2015: 1-6 - [c35]Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu:
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. ICDM 2015: 1123-1128 - [c34]Sheng Li, Ming Shao, Yun Fu:
Cross-View Projective Dictionary Learning for Person Re-Identification. IJCAI 2015: 2155-2161 - [c33]Zhengming Ding, Ming Shao, Yun Fu:
Deep Low-Rank Coding for Transfer Learning. IJCAI 2015: 3453-3459 - [c32]Ming Shao, Sheng Li, Zhengming Ding, Yun Fu:
Deep Linear Coding for Fast Graph Clustering. IJCAI 2015: 3798-3804 - [c31]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis for Outlier Detection. SDM 2015: 748-756 - 2014
- [j7]Ming Shao, Dmitry Kit, Yun Fu:
Generalized Transfer Subspace Learning Through Low-Rank Constraint. Int. J. Comput. Vis. 109(1-2): 74-93 (2014) - [c30]Zhengming Ding, Ming Shao, Yun Fu:
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. AAAI 2014: 1192-1198 - [c29]Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr 2014: 325-332 - [c28]Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu:
Learning relative features through adaptive pooling for image classification. ICME 2014: 1-6 - [c27]Sheng Li, Ming Shao, Yun Fu:
Locality linear fitting one-class SVM with low-rank constraints for outlier detection. IJCNN 2014: 676-683 - [c26]Shuyang Wang, Ming Shao, Yun Fu:
Attractive or Not?: Beauty Prediction with Attractiveness-Aware Encoders and Robust Late Fusion. ACM Multimedia 2014: 805-808 - [p5]Ming Shao, Siyu Xia, Yun Fu:
Identity and Kinship Relations in Group Pictures. Human-Centered Social Media Analytics 2014: 175-190 - [p4]Ming Shao, Yun Fu:
Recognizing Occupations Through Probabilistic Models: A Social View. Human-Centered Social Media Analytics 2014: 191-206 - [p3]Ming Shao, Dmitry Kit, Yun Fu:
Low-Rank Transfer Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 87-115 - [p2]Ming Shao, Mingbo Ma, Yun Fu:
Sparse Manifold Subspace Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 117-132 - [p1]Sheng Li, Ming Shao, Yun Fu:
Low-Rank Outlier Detection. Low-Rank and Sparse Modeling for Visual Analysis 2014: 181-202 - 2013
- [c25]Ming Shao, Liangyue Li, Yun Fu:
Predicting Professions through Probabilistic Model under Social Context. AAAI (Late-Breaking Developments) 2013 - [c24]Mingbo Ma, Ming Shao, Xu Zhao, Yun Fu:
Prototype based feature learning for face image set classification. FG 2013: 1-6 - [c23]Ming Shao, Yun Fu:
Hierarchical hyperlingual-words for multi-modality face classification. FG 2013: 1-6 - [c22]Gaurav Srivastava, Ming Shao, Yun Fu:
Low-rank embedding for semisupervised face classification. FG 2013: 1-6 - [c21]Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu:
Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition. ICCV 2013: 2416-2423 - [c20]Ming Shao, Liangyue Li, Yun Fu:
What Do You Do? Occupation Recognition in a Photo via Social Context. ICCV 2013: 3631-3638 - 2012
- [j6]Siyu Xia, Ming Shao, Jiebo Luo, Yun Fu:
Understanding Kin Relationships in a Photo. IEEE Trans. Multim. 14(4): 1046-1056 (2012) - [c19]Ming Shao, Xianghong Xu:
Edge detection using ant colony system algorithm. ICDIP 2012: 83341X - [c18]Ming Shao, Carlos Castillo, Zhenghong Gu, Yun Fu:
Low-Rank Transfer Subspace Learning. ICDM 2012: 1104-1109 - [c17]Siyu Xia, Ming Shao, Yun Fu:
Toward kinship verification using visual attributes. ICPR 2012: 549-552 - [c16]Zhenghong Gu, Ming Shao, Liangyue Li, Yun Fu:
Discriminative metric: Schatten norm vs. vector norm. ICPR 2012: 1213-1216 - 2011
- [c15]Ming Shao, Si-Yu Xia, Yun Fu:
Genealogical face recognition based on UB KinFace database. CVPR Workshops 2011: 60-65 - [c14]Wei Chen, Ming Shao, Yun Fu:
Clustering Based Fast Low-Rank Approximation for Large-Scale Graph. ICDM Workshops 2011: 787-792 - [c13]Siyu Xia, Ming Shao, Yun Fu:
Kinship Verification through Transfer Learning. IJCAI 2011: 2539-2544 - 2010
- [j5]Xuemei Li, Ming Shao, Lixing Ding, Gang Xu, Jibin Li:
Particle Swarm Optimization-based LS-SVM for Building Cooling Load Prediction. J. Comput. 5(4): 614-621 (2010) - [c12]Liwen Zhang, Ming Shao:
Chaotic Synchronization with Single-Ring Erbium-Doped Fiber Laser Systems. CIS 2010: 437-440 - [c11]Ming Shao, Yunhong Wang, Xue Ling:
A BEMD based normalization method for face recognition under variable illuminations. ICASSP 2010: 1114-1117
2000 – 2009
- 2009
- [j4]Zhenyu Liu, Yang Song, Ming Shao, Shen Li, Lingfeng Li, Shunichi Ishiwata, Masaki Nakagawa, Satoshi Goto, Takeshi Ikenaga:
HDTV1080p H.264/AVC Encoder Chip Design and Performance Analysis. IEEE J. Solid State Circuits 44(2): 594-608 (2009) - [c10]Ming Shao, Yunhong Wang, Peijiang Liu:
Face Relighting Based on Multi-spectral Quotient Image and Illumination Tensorfaces. ACCV (3) 2009: 108-117 - [c9]Ming Shao, Yunhong Wang:
Recovering Facial Intrinsic Images from a Single Input. ICIC (1) 2009: 82-91 - [c8]Ming Shao, Yunhong Wang:
Joint Features for Face Recognition under Variable Illuminations. ICIG 2009: 922-927 - [c7]Ming Shao, Yunhong Wang, Yiding Wang:
A super-resolution based method to synthesize visual images from near infrared. ICIP 2009: 2453-2456 - [c6]Xuemei Li, Ming Shao, Lixing Ding:
HVAC Fault Diagnosis System Using Rough Set Theory and Support Vector Machine. WKDD 2009: 895-899 - 2008
- [j3]Yi-hong Dong, Ming Shao, Xiaoying Tai:
An adaptive counter propagation network based on soft competition. Pattern Recognit. Lett. 29(7): 938-949 (2008) - [c5]Panpan Huang, Yunhong Wang, Ming Shao:
A New Method for Multi-view Face Clustering in Video Sequence. ICDM Workshops 2008: 869-873 - 2007
- [j2]Ming Shao, Zhenyu Liu, Satoshi Goto, Takeshi Ikenaga:
Lossless VLSI Oriented Full Computation Reusing Algorithm for H.264/AVC Fractional Motion Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(4): 756-763 (2007) - [c4]Yang Song, Ming Shao, Zhenyu Liu, Shen Li, Lingfeng Li, Takeshi Ikenaga, Satoshi Goto:
H.264/AVC Fractional Motion Estimation Engine with Computation Reusing in HDTV1080P Real-Time Encoding Applications. SiPS 2007: 509-514 - [c3]Zhenyu Liu, Yang Song, Ming Shao, Shen Li, Lingfeng Li, Satoshi Goto, Takeshi Ikenaga:
32-Parallel SAD Tree Hardwired Engine for Variable Block Size Motion Estimation in HDTV1080P Real-Time Encoding Application. SiPS 2007: 675-680 - 2005
- [j1]Xiaowei Li, Guanghui Li, Ming Shao:
Formal Verification Techniques Based on Boolean Satisfiability Problem. J. Comput. Sci. Technol. 20(1): 38-47 (2005) - 2003
- [c2]Guanghui Li, Ming Shao, Xiaowei Li:
Design Error Diagnosis Based on Verification Techniques. Asian Test Symposium 2003: 474-477 - [c1]Ming Shao, Guanghui Li, Xiaowei Li:
SAT-Based Algorithm of Verification for Port Order Fault. Asian Test Symposium 2003: 478-481
Coauthor Index
aka: Siyu Xia
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