Ming Shao

According to our database, Ming Shao authored at least 138 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Investigation of electro-vascular phase-amplitude coupling during an auditory task.

John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari

Comput. Biol. Medicine, February, 2024

Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation.

Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding

CoRR, 2024

Few-shot Shape Recognition by Learning Deep Shape-aware Features.

Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Research on visual size and visual alignment optimization of icon set design.

Ming Shao, Zi Che, Yizhou Lu

Displays, December, 2023

High-precision skeleton-based human repetitive action counting.

Chengxian Li, Ming Shao, Qirui Yang, Siyu Xia

IET Comput. Vis., September, 2023

LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution.

Bin Sun, Jun Li, Ming Shao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Dilepton Program with Time-of-Flight Detector at the STAR Experiment.

Xin Dong, Lijuan Ruan, Ming Shao, Yongjie Sun, Zebo Tang, Zhangbu Xu, Wangmei Zha, Yifei Zhang

Symmetry, February, 2023

The forecast of power consumption and freshwater generation in a solar-assisted seawater greenhouse system using a multi-layer perceptron neural network.

Jing Liu, Ming Shao, Minghui sun

Expert Syst. Appl., 2023

A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis.

Rui Ming, Haiping Xu, Shannon E. Gibbs, Donghui Yan, Ming Shao

CoRR, 2023

Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study.

John McLinden, Seyyed Bahram Borgheai, Chetan Kumar, Neela Rahimi, Ming Shao, Kevin M. Spencer, Yalda Shahriari

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation.

Junjie Zou, Ming Shao, Siyu Xia

Proceedings of the IEEE International Conference on Image Processing, 2023

Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks.

Chetan Kumar, Neela Rahimi, Rohan Gonjari, John McLinden, Sarah M. Ismail Hosni, Yalda Shahriari, Ming Shao

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Music2Dance: DanceNet for Music-Driven Dance Generation.

Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, Siyu Xia

ACM Trans. Multim. Comput. Commun. Appl., 2022

Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship.

Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

IEEE Trans. Multim., 2022

Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN).

Wei Xu, Donghai Xiang, Guotai Wang, Ruisong Liao, Ming Shao, Kang Li

IEEE Trans. Hum. Mach. Syst., 2022

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making.

Joseph P. Robinson, Ming Shao, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unsupervised Visual Defect Detection with Score-Based Generative Model.

Yapeng Teng, Haoyang Li, Fuzhen Cai, Ming Shao, Siyu Xia

CoRR, 2022

Generative Adversarial Attack on Ensemble Clustering.

Chetan Kumar, Deepak Kumar, Ming Shao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval.

Zhiheng Peng, Ming Shao, Siyu Xia

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments.

Riazat Ryan, Ming Shao

Proceedings of the IEEE International Conference on Big Data, 2022

ElDet: An Anchor-Free General Ellipse Object Detector.

Tian Wang, Changsheng Lu, Ming Shao, Xiaohui Yuan, Siyu Xia

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Cost-sensitive selection of variables by ensemble of model sequences.

Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao

Knowl. Inf. Syst., 2021

Collaborative knowledge distillation for incomplete multi-view action prediction.

Deepak Kumar, Chetan Kumar, Ming Shao

Image Vis. Comput., 2021

Removal notice to "VitSeg: Weakly supervised vitiligo segmentation in skin image" [Comput. Med. Imag. Graph. 85 (2020) 101779].

Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao

Comput. Medical Imaging Graph., 2021

DNA-Net: Age and Gender Aware Kin Face Synthesizer.

Pengyu Gao, Joseph P. Robinson, Jiaxuan Zhu, Chao Xia, Ming Shao, Siyu Xia

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Adversarial Attacks on Kinship Verification using Transformer.

Jiaxuan Zhu, Ming Shao, Chao Xia, Hong Pan, Siyu Xia

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces.

Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020

Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection.

Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu

IEEE Trans. Image Process., 2020

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation.

Taotao Jing, Ming Shao, Zhengming Ding

CoRR, 2020

Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship.

Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

CoRR, 2020

Visual Kinship Recognition: A Decade in the Making.

Joseph P. Robinson, Ming Shao, Yun Fu

CoRR, 2020

Towards 3D Dance Motion Synthesis and Control.

Wenlin Zhuang, Yangang Wang, Joseph P. Robinson, Congyi Wang, Ming Shao, Yun Fu, Siyu Xia

CoRR, 2020

Baseband Modulation Classification using Incremental Learning.

Todd Morehouse, Neela Rahimi, Ming Shao, Ruolin Zhou

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition.

Deepak Kumar, Chetan Kumar, Chun-Wei Seah, Siyu Xia, Ming Shao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Recognizing Families In the Wild (RFIW): The 4th Edition.

Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending.

Chengyao Zheng, Siyu Xia, Joseph P. Robinson, Changsheng Lu, Wayne Wu, Chen Qian, Ming Shao

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks.

Chetan Kumar, Riazat Ryan, Ming Shao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Feature Selection with Unsupervised Consensus Guidance.

Hongfu Liu, Ming Shao, Yun Fu

IEEE Trans. Knowl. Data Eng., 2019

Structure-Preserved Unsupervised Domain Adaptation.

Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu

IEEE Trans. Knowl. Data Eng., 2019

Robust Discriminative Metric Learning for Image Representation.

Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu

IEEE Trans. Circuits Syst. Video Technol., 2019

Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary.

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer.

Pengyu Gao, Siyu Xia, Joseph P. Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu

CoRR, 2019

LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution.

Bin Sun, Jun Li, Ming Shao, Yun Fu

CoRR, 2019

Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network.

Bin Sun, Ming Shao, Siyu Xia, Yun Fu

CoRR, 2019

Robust Knowledge Discovery via Low-rank Modeling.

Zhengming Ding, Ming Shao

CoRR, 2019

Exclusion-Net: Accurate Detection Algorithm for Crowd Objects.

ZhiMing Liu, Ming Shao, Jin Wang, Kaide Li, Yaonong Wang, Miao Cheng

Proceedings of the ICIT 2019, 2019

Fast Facial Image Analogy with Spatial Guidance.

Chengyao Zheng, Siyu Xia, Ming Shao, Yun Fu

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression.

Riazat Ryan, Handong Zhao, Ming Shao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation.

Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning.

Ming Shao, Yizhe Zhang, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

Probabilistic Low-Rank Multitask Learning.

Yu Kong, Ming Shao, Kang Li, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

Incomplete Multisource Transfer Learning.

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-View Low-Rank Analysis with Applications to Outlier Detection.

Sheng Li, Ming Shao, Yun Fu

ACM Trans. Knowl. Discov. Data, 2018

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.

Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu

IEEE Trans. Image Process., 2018

An EOG-Based Human-Machine Interface for Wheelchair Control.

Qiyun Huang, Shenghong He, Qihong Wang, Zhenghui Gu, Nengneng Peng, Kai Li, Yuandong Zhang, Ming Shao, Yuanqing Li

IEEE Trans. Biomed. Eng., 2018

Visual Kinship Recognition of Families in the Wild.

Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning Consensus Representation for Weak Style Classification.

Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Person Re-Identification by Cross-View Multi-Level Dictionary Learning.

Sheng Li, Ming Shao, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Infinite ensemble clustering.

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu

Data Min. Knowl. Discov., 2018

High-quality Ellipse Detection Based on Arc-support Line Segments.

Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu

CoRR, 2018

Graph Based Family Relationship Recognition from a Single Image.

Chao Xia, Siyu Xia, Yuan Zhou, Le Zhang, Ming Shao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

To Recognize Families In the Wild: A Machine Vision Tutorial.

Joseph P. Robinson, Ming Shao, Yun Fu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification.

Zhengming Ding, Ming Shao, Sheng Li, Yun Fu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers.

Yu Li, Ming Shao, Hailong Jiao, Adam Cron, Sandeep Bhatia, Erik Jan Marinissen

Proceedings of the 23rd IEEE European Test Symposium, 2018

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation.

Zhengming Ding, Sheng Li, Ming Shao, Yun Fu

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment.

Bin Sun, Ming Shao, Siyu Xia, Yun Fu

Proceedings of the British Machine Vision Conference 2018, 2018

Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation.

Venkata Suhas Maringanti, Ming Shao

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Album to Family Tree: A Graph Based Method for Family Relationship Recognition.

Chao Xia, Siyu Xia, Ming Shao, Yun Fu

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words.

Ming Shao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2017

Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition.

Chengcheng Jia, Ming Shao, Yun Fu

IEEE Trans. Image Process., 2017

A BCI-Based Environmental Control System for Patients With Severe Spinal Cord Injuries.

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

IEEE Trans. Biomed. Eng., 2017

RFIW: Large-Scale Kinship Recognition Challenge.

Joseph P. Robinson, Ming Shao, Handong Zhao, Yue Wu, Timothy Gillis, Yun Fu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Family Photo Recognition via Multiple Instance Learning.

Junkang Zhang, Siyu Xia, Ming Shao, Yun Fu

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Circle detection by arc-support line segments.

Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, Yun Fu

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Cross-database mammographic image analysis through unsupervised domain adaptation.

Deepak Kumar, Chetan Kumar, Ming Shao

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure.

Ming Shao, Xindong Wu, Yun Fu

IEEE Trans. Big Data, 2016

Family in the Wild (FIW): A Large-scale Kinship Recognition Database.

Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu

CoRR, 2016

Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks.

Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Infinite Ensemble for Image Clustering.

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse alignment for video analysis in discriminant Tensor space.

Chengcheng Jia, Ming Shao, Yun Fu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Transfer learning for image classification with incomplete multiple sources.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Structure-Preserved Multi-source Domain Adaptation.

Hongfu Liu, Ming Shao, Yun Fu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Computer Vision - ECCV 2016, 2016

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection.

Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation.

Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Consensus Guided Unsupervised Feature Selection.

Hongfu Liu, Ming Shao, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Consensus Style Centralizing Auto-Encoder for Weak Style Classification.

Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Missing Modality Transfer Learning via Latent Low-Rank Constraint.

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Image Process., 2015

Multi-View Low-Rank Analysis for Outlier Detection.

Sheng Li, Ming Shao, Yun Fu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Deep Linear Coding for Fast Graph Clustering.

Ming Shao, Sheng Li, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cross-View Projective Dictionary Learning for Person Re-Identification.

Sheng Li, Ming Shao, Yun Fu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Deep Low-Rank Coding for Transfer Learning.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning.

Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Sparse low-rank fusion based deep features for missing modality face recognition.

Ming Shao, Zhengming Ding, Yun Fu

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

Generalized Transfer Subspace Learning Through Low-Rank Constraint.

Ming Shao, Dmitry Kit, Yun Fu

Int. J. Comput. Vis., 2014

Attractive or Not?: Beauty Prediction with Attractiveness-Aware Encoders and Robust Late Fusion.

Shuyang Wang, Ming Shao, Yun Fu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Locality linear fitting one-class SVM with low-rank constraints for outlier detection.

Sheng Li, Ming Shao, Yun Fu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning relative features through adaptive pooling for image classification.

Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Guided Fast Local Search for speeding up a financial forecasting algorithm.

Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Sparse Manifold Subspace Learning.

Ming Shao, Mingbo Ma, Yun Fu

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

Low-Rank Transfer Learning.

Ming Shao, Dmitry Kit, Yun Fu

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

Low-Rank Outlier Detection.

Sheng Li, Ming Shao, Yun Fu

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

Identity and Kinship Relations in Group Pictures.

Ming Shao, Siyu Xia, Yun Fu

Proceedings of the Human-Centered Social Media Analytics, 2014

Recognizing Occupations Through Probabilistic Models: A Social View.

Ming Shao, Yun Fu

Proceedings of the Human-Centered Social Media Analytics, 2014

2013

Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition.

Yizhe Zhang, Ming Shao, Edward K. Wong, Yun Fu

Proceedings of the IEEE International Conference on Computer Vision, 2013

What Do You Do? Occupation Recognition in a Photo via Social Context.

Ming Shao, Liangyue Li, Yun Fu

Proceedings of the IEEE International Conference on Computer Vision, 2013

Low-rank embedding for semisupervised face classification.

Gaurav Srivastava, Ming Shao, Yun Fu

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Hierarchical hyperlingual-words for multi-modality face classification.

Ming Shao, Yun Fu

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Prototype based feature learning for face image set classification.

Mingbo Ma, Ming Shao, Xu Zhao, Yun Fu

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Predicting Professions through Probabilistic Model under Social Context.

Ming Shao, Liangyue Li, Yun Fu

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Understanding Kin Relationships in a Photo.

Siyu Xia, Ming Shao, Jiebo Luo, Yun Fu

IEEE Trans. Multim., 2012

Toward kinship verification using visual attributes.

Siyu Xia, Ming Shao, Yun Fu

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Discriminative metric: Schatten norm vs. vector norm.

Zhenghong Gu, Ming Shao, Liangyue Li, Yun Fu

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Low-Rank Transfer Subspace Learning.

Ming Shao, Carlos Castillo, Zhenghong Gu, Yun Fu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Edge detection using ant colony system algorithm.

Ming Shao, Xianghong Xu

Proceedings of the Fourth International Conference on Digital Image Processing, 2012

2011

Kinship Verification through Transfer Learning.

Siyu Xia, Ming Shao, Yun Fu

Proceedings of the IJCAI 2011, 2011

Clustering Based Fast Low-Rank Approximation for Large-Scale Graph.

Wei Chen, Ming Shao, Yun Fu

Proceedings of the Data Mining Workshops (ICDMW), 2011

Genealogical face recognition based on UB KinFace database.

Ming Shao, Si-Yu Xia, Yun Fu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Particle Swarm Optimization-based LS-SVM for Building Cooling Load Prediction.

Xuemei Li, Ming Shao, Lixing Ding, Gang Xu, Jibin Li

J. Comput., 2010

A BEMD based normalization method for face recognition under variable illuminations.

Ming Shao, Yunhong Wang, Xue Ling

Proceedings of the IEEE International Conference on Acoustics, 2010

Chaotic Synchronization with Single-Ring Erbium-Doped Fiber Laser Systems.

Li-wen Zhang, Ming Shao

Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010

2009

HDTV1080p H.264/AVC Encoder Chip Design and Performance Analysis.

Zhenyu Liu, Yang Song, Ming Shao, Shen Li, Lingfeng Li, Shunichi Ishiwata, Masaki Nakagawa, Satoshi Goto, Takeshi Ikenaga

IEEE J. Solid State Circuits, 2009

HVAC Fault Diagnosis System Using Rough Set Theory and Support Vector Machine.

Xuemei Li, Ming Shao, Lixing Ding

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

A super-resolution based method to synthesize visual images from near infrared.

Ming Shao, Yunhong Wang, Yiding Wang

Proceedings of the International Conference on Image Processing, 2009

Joint Features for Face Recognition under Variable Illuminations.

Ming Shao, Yunhong Wang

Proceedings of the Fifth International Conference on Image and Graphics, 2009

Recovering Facial Intrinsic Images from a Single Input.

Ming Shao, Yunhong Wang

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

Face Relighting Based on Multi-spectral Quotient Image and Illumination Tensorfaces.

Ming Shao, Yunhong Wang, Peijiang Liu

Proceedings of the Computer Vision, 2009

2008

An adaptive counter propagation network based on soft competition.

Yi-hong Dong, Ming Shao, Xiaoying Tai

Pattern Recognit. Lett., 2008

A New Method for Multi-view Face Clustering in Video Sequence.

Panpan Huang, Yunhong Wang, Ming Shao

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Lossless VLSI Oriented Full Computation Reusing Algorithm for H.264/AVC Fractional Motion Estimation.

Ming Shao, Zhenyu Liu, Satoshi Goto, Takeshi Ikenaga

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

H.264/AVC Fractional Motion Estimation Engine with Computation Reusing in HDTV1080P Real-Time Encoding Applications.

Yang Song, Ming Shao, Zhenyu Liu, Shen Li, Lingfeng Li, Takeshi Ikenaga, Satoshi Goto

Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

32-Parallel SAD Tree Hardwired Engine for Variable Block Size Motion Estimation in HDTV1080P Real-Time Encoding Application.

Zhenyu Liu, Yang Song, Ming Shao, Shen Li, Lingfeng Li, Satoshi Goto, Takeshi Ikenaga

Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

2005

Formal Verification Techniques Based on Boolean Satisfiability Problem.

Xiaowei Li, Guanghui Li, Ming Shao

J. Comput. Sci. Technol., 2005

2003

SAT-Based Algorithm of Verification for Port Order Fault.

Ming Shao, Guanghui Li, Xiaowei Li

Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003

Design Error Diagnosis Based on Verification Techniques.

Guanghui Li, Ming Shao, Xiaowei Li

Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003