Weihua Ou

According to our database, Weihua Ou authored at least 106 papers between 2012 and 2024.

Collaborative distances:

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

2024

Representation separation adversarial networks for cross-modal retrieval.

Jiaxin Deng, Weihua Ou, Jianping Gou, Heping Song, Anzhi Wang, Xing Xu

Wirel. Networks, July, 2024

Robust manifold discriminative distribution adaptation for transfer subspace learning.

Zhonghua Liu, Weihua Ou, Kaibing Zhang, Hao Xiong

Expert Syst. Appl., March, 2024

Hierarchical graph augmented stacked autoencoders for multi-view representation learning.

Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen

Inf. Fusion, February, 2024

Non-contact heart rate measurement from face video based on group sparse representation.

Weihua Ou, Longbao Chen, Jiahao Xiong, Jie Han, Wu Zeng, Jianping Gou

Digit. Signal Process., January, 2024

Enhancing Label Correlations in multi-label classification through global-local label specific feature learning to Fill Missing labels.

Yue Yu, Zhengjuan Zhou, Xianju Zheng, Jianping Gou, Weihua Ou, Fei Yuan

Comput. Electr. Eng., January, 2024

GraphPhys: Facial video-based physiological measurement with graph neural network.

Jiahao Xiong, Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu

Comput. Electr. Eng., January, 2024

Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context.

Quan Zhou, Linjie Wang, Guangwei Gao, Bin Kang, Weihua Ou, Huimin Lu

IEEE Trans. Multim., 2024

Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning.

Jianping Gou, Nannan Xie, Yunhao Yuan, Lan Du, Weihua Ou, Zhang Yi

IEEE Trans. Multim., 2024

Discriminative transfer regression for low-rank and sparse subspace learning.

Zhonghua Liu, Weihua Ou, Jinbo Liu, Kaibing Zhang, Zhihui Lai, Hao Xiong

Eng. Appl. Artif. Intell., 2024

STGNet: Spatio-temporal graph neural networks considering inherent properties of physiological signals for camera-based remote photoplethysmography.

Jiahao Xiong, Weihua Ou, Yi Yao, Yingying Liu, Zhifan Gao, Zhonghua Liu, Jianping Gou

Biomed. Signal Process. Control., 2024

Inter-Class Correlation-Based Online Knowledge Distillation.

Hongfang Zhu, Jianping Gou, Lan Du, Weihua Ou

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Self-Distillation via Intra-Class Compactness.

Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023

Blind super-resolution model based on unsupervised degenerate indication learning.

Yanyan Yang, Zhonghua Liu, Weihua Ou, Wenpeng Lu, Yong Liu, Ruijuan Zheng

Comput. Electr. Eng., November, 2023

Discriminative sparse least square regression for semi-supervised learning.

Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Hua Huo

Inf. Sci., July, 2023

Multilevel Attention-Based Sample Correlations for Knowledge Distillation.

Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi

IEEE Trans. Ind. Informatics, May, 2023

Domain adaptation based on feature fusion and multi-attention mechanism.

Tiansheng Wang, Zhonghua Liu, Weihua Ou, Hua Huo

Comput. Electr. Eng., May, 2023

Cross-Modal Generation and Pair Correlation Alignment Hashing.

Weihua Ou, Jiaxin Deng, Lei Zhang, Jianping Gou, Quan Zhou

IEEE Trans. Intell. Transp. Syst., March, 2023

Locality-constrained weighted collaborative-competitive representation for classification.

Jianping Gou, Xiangshuo Xiong, Hongwei Wu, Lan Du, Shaoning Zeng, Yunhao Yuan, Weihua Ou

Int. J. Mach. Learn. Cybern., February, 2023

Study on Real-Time Heart Rate Detection Based on Multi-People.

Qiuyu Hu, Wu Zeng, Yi Sheng, Jian Xu, Weihua Ou, Ruochen Tan

Comput. Syst. Sci. Eng., 2023

Online Distillation and Preferences Fusion for Graph Convolutional Network-Based Sequential Recommendation.

Youhui Cheng, Jianping Gou, Weihua Ou

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Deep medical cross-modal attention hashing.

Yong Zhang, Weihua Ou, Yufeng Shi, Jiaxin Deng, Xinge You, Anzhi Wang

World Wide Web, 2022

Collaborative Learning With a Multi-Branch Framework for Feature Enhancement.

Xiao Luan, Yuanyuan Zhao, Weihua Ou, Linghui Liu, Weisheng Li, Yucheng Shu, Hongmin Geng

IEEE Trans. Multim., 2022

Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval.

Yufeng Shi, Yue Zhao, Xin Liu, Feng Zheng, Weihua Ou, Xinge You, Qinmu Peng

IEEE Trans. Circuits Syst. Video Technol., 2022

A class-specific mean vector-based weighted competitive and collaborative representation method for classification.

Jianping Gou, Xin He, Junyu Lu, Hongxing Ma, Weihua Ou, Yunhao Yuan

Neural Networks, 2022

Modality-specific matrix factorization hashing for cross-modal retrieval.

Haixia Xiong, Weihua Ou, Zengxian Yan, Jianping Gou, Quan Zhou, Anzhi Wang

J. Ambient Intell. Humaniz. Comput., 2022

PSIDP: Unsupervised deep hashing with pretrained semantic information distillation and preservation.

Yufeng Shi, Xinge You, Yue Zhao, Jiamiao Xu, Weihua Ou, Feng Zheng, Qinmu Peng

Neurocomputing, 2022

A representation coefficient-based <i>k</i>-nearest centroid neighbor classifier.

Jianping Gou, Liyuan Sun, Lan Du, Hongxing Ma, Taisong Xiong, Weihua Ou, Yongzhao Zhan

Expert Syst. Appl., 2022

Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval.

Yufeng Shi, Xinge You, Jiamiao Xu, Feng Zheng, Qinmu Peng, Weihua Ou

CoRR, 2022

Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis.

Yufeng Shi, Shuhuang Chen, Xinge You, Qinmu Peng, Weihua Ou, Yue Zhao

CoRR, 2022

LAEDNet: A Lightweight Attention Encoder-Decoder Network for ultrasound medical image segmentation.

Quan Zhou, Qianwen Wang, Yunchao Bao, Lingjun Kong, Xin Jin, Weihua Ou

Comput. Electr. Eng., 2022

Category supervised cross-modal hashing retrieval for chest X-ray and radiology reports.

Yong Zhang, Weihua Ou, Jiacheng Zhang, Jiaxin Deng

Comput. Electr. Eng., 2022

Semi-supervised cross-modal retrieval with graph-based semantic alignment network.

Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou

Comput. Electr. Eng., 2022

Semi-supervised constrained graph convolutional network for cross-modal retrieval.

Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou

Comput. Electr. Eng., 2022

Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification.

Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Shuzhi Su

Comput. Electr. Eng., 2022

Kernelized discriminative-collaborative representation-based approach for pattern classification.

Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Guo-Qing Liu, Yeerjiang Halimu

Comput. Electr. Eng., 2022

Unsupervised domain adaptation based on adaptive local manifold learning.

Kaiming Shi, Zhonghua Liu, Wenpeng Lu, Weihua Ou, Chunlei Yang

Comput. Electr. Eng., 2022

Semantic Constraints Matrix Factorization Hashing for cross-modal retrieval.

Weian Li, Haixia Xiong, Weihua Ou, Jianping Gou, Jiaxing Deng, Linqing Liang, Quan Zhou

Comput. Electr. Eng., 2022

Prototype-based Selective Knowledge Distillation for Zero-Shot Sketch Based Image Retrieval.

Kai Wang, Yifan Wang, Xing Xu, Xin Liu, Weihua Ou, Huimin Lu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

RSANet: Towards Real-Time Object Detection with Residual Semantic-Guided Attention Feature Pyramid Network.

Quan Zhou, Jie Wang, Jia Liu, Shenghua Li, Weihua Ou, Xin Jin

Mob. Networks Appl., 2021

Feature fusion-based collaborative learning for knowledge distillation.

Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

Int. J. Distributed Sens. Networks, 2021

Almost sure stability for a class of dual switching linear discrete-time systems.

Fei Long, Cai Liu, Weihua Ou

Concurr. Comput. Pract. Exp., 2021

Robust sparse low-rank embedding for image dimension reduction.

Zhonghua Liu, Yue Lu, Zhihui Lai, Weihua Ou, Kaibing Zhang

Appl. Soft Comput., 2021

Multimodal Transformer Networks with Latent Interaction for Audio-Visual Event Localization.

Yixuan He, Xing Xu, Xin Liu, Weihua Ou, Huimin Lu

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

2020

Structured optimal graph based sparse feature extraction for semi-supervised learning.

Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Ruijuan Zheng

Signal Process., 2020

Weighted discriminative collaborative competitive representation for robust image classification.

Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao

Neural Networks, 2020

A new discriminative collaborative representation-based classification method via l₂ regularizations.

Jianping Gou, Bing Hou, Yunhao Yuan, Weihua Ou, Shaoning Zeng

Neural Comput. Appl., 2020

Learning adaptive contrast combinations for visual saliency detection.

Quan Zhou, Jie Cheng, Huimin Lu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Weihua Ou, Longin Jan Latecki

Multim. Tools Appl., 2020

Chinese medical question answer selection via hybrid models based on CNN and GRU.

Yuteng Zhang, Wenpeng Lu, Weihua Ou, Guoqiang Zhang, Xu Zhang, Jinyong Cheng, Weiyu Zhang

Multim. Tools Appl., 2020

Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity.

Weihua Ou, Ruisheng Xuan, Jianping Gou, Quan Zhou, Yongfeng Cao

Multim. Tools Appl., 2020

Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network.

Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou

J. Vis. Commun. Image Represent., 2020

Discriminative sparse embedding based on adaptive graph for dimension reduction.

Zhonghua Liu, Kaiming Shi, Kaibing Zhang, Weihua Ou, Lin Wang

Eng. Appl. Artif. Intell., 2020

Double Competitive Constraints-Based Collaborative Representation for Pattern Classification.

Jianping Gou, Hongwei Wu, Heping Song, Lan Du, Weihua Ou, Shaoning Zeng, Jia Ke

Comput. Electr. Eng., 2020

Cross-level Feature Aggregation and Fusion Network for Light Field Salient Object Detection.

Anzhi Wang, Weihua Ou, Chunhong Ren, Yun Liu

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2019

Chinese Medical Question Answer Matching with Stack-CNN.

Yuteng Zhang, Wenpeng Lu, Weihua Ou, Ruoyu Zhang, Xu Zhang, Shutong Yue

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Semantics Consistent Adversarial Cross-Modal Retrieval.

Ruisheng Xuan, Weihua Ou, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, Fangming Ruan

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Saliency Detection via Objectness Transferring.

Quan Zhou, Yawen Fan, Weihua Ou, Huimin Lu

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Multi-scale deep context convolutional neural networks for semantic segmentation.

Quan Zhou, Wenbin Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, Longin Jan Latecki

World Wide Web, 2019

Locality constrained representation-based K-nearest neighbor classification.

Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou

Knowl. Based Syst., 2019

Discriminative feature extraction based on sparse and low-rank representation.

Zhonghua Liu, Weihua Ou, Wenpeng Lu, Lin Wang

Neurocomputing, 2019

Several robust extensions of collaborative representation for image classification.

Jianping Gou, Bing Hou, Weihua Ou, Qirong Mao, Hebiao Yang, Yong Liu

Neurocomputing, 2019

A generalized mean distance-based <i>k</i>-nearest neighbor classifier.

Jianping Gou, Hongxing Ma, Weihua Ou, Shaoning Zeng, Yunbo Rao, Hebiao Yang

Expert Syst. Appl., 2019

Discriminative, Competitive, and Collaborative Representation-Based Classification with l₂-Norm Regularizations.

Jianping Gou, Junyu Lu, Heping Song, Hongxing Ma, Weihua Ou, Jia Ke

Complex., 2019

Representation-based classification methods with enhanced linear reconstruction measures for face recognition.

Jianping Gou, Jun Song, Weihua Ou, Shaoning Zeng, Yun-Hao Yuan, Lan Du

Comput. Electr. Eng., 2019

Discriminative Multiview Nonnegative Matrix Factorization for Classification.

Weihua Ou, Jianping Gou, Quan Zhou, Shiming Ge, Fei Long

IEEE Access, 2019

Sentiment Analysis of Text Based on Bidirectional LSTM With Multi-Head Attention.

Fei Long, Kai Zhou, Weihua Ou

IEEE Access, 2019

Discriminative Group Collaborative Competitive Representation for Visual Classification.

Jianping Gou, Lei Wang, Zhang Yi, Yun-Hao Yuan, Weihua Ou, Qirong Mao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

CAN: Contextual Aggregating Network for Semantic Segmentation.

Dechun Cong, Quan Zhou, Jie Cheng, Xiaofu Wu, Suofei Zhang, Weihua Ou, Huimin Lu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Robust discriminative nonnegative dictionary learning for occluded face recognition.

Weihua Ou, Xiao Luan, Jianping Gou, Quan Zhou, Wenjun Xiao, Xiangguang Xiong, Wu Zeng

Pattern Recognit. Lett., 2018

Visual object tracking via coefficients constrained exclusive group LASSO.

Xiao Ma, Qiao Liu, Weihua Ou, Quan Zhou

Mach. Vis. Appl., 2018

Face recognition via fast dense correspondence.

Quan Zhou, Cheng Zhang, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu, Weihua Ou, Wei-Ping Zhu, Longin Jan Latecki

Multim. Tools Appl., 2018

Object tracking based on online representative sample selection via non-negative least square.

Weihua Ou, Di Yuan, Qiao Liu, Yongfeng Cao

Multim. Tools Appl., 2018

Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning.

Weihua Ou, Fei Long, Yi Tan, Shujian Yu, Pengpeng Wang

Multim. Tools Appl., 2018

2017

Visual object tracking with online sample selection via lasso regularization.

Qiao Liu, Xiao Ma, Weihua Ou, Quan Zhou

Signal Image Video Process., 2017

Patch-based visual tracking with online representative sample selection.

Weihua Ou, Di Yuan, Donghao Li, Bin Liu, Dao-Xun Xia, Wu Zeng

J. Electronic Imaging, 2017

Structured sparsity model with spatial similarity regularisation for semantic feature selection.

Weihua Ou, Wenjun Xiao

Int. J. Adv. Media Commun., 2017

Sparsity constrained model for the semantic features selection.

Weihua Ou, Wenjun Xiao

Int. J. Adv. Media Commun., 2017

Recognition of acoustic effective relaxational lines for gas detection using minimum distance clustering.

Kesheng Zhang, Xiaoxue Guo, Wensheng Hu, Weihua Ou

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

CNN-based color image encryption algorithm using DNA sequence operations.

Jingshuai Wang, Fei Long, Weihua Ou

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

A new nearest neighbor classifier based on multi-harmonic mean distances.

Hongxing Ma, Jianping Gou, Weihua Ou, Shaoning Zeng, Yunbo Rao, Hebiao Yang

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Face liveness detection with recaptured feature extraction.

Xiao Luan, Huaming Wang, Weihua Ou, Linghui Liu

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Discriminative multiview nonnegative matrix factorization with large margin for image classification.

Fei Long, Weihua Ou, Kesheng Zhang, Yi Tan, Yunhao Xue, Gai Li

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Social personalized ranking recommendation algorithm by trust.

Gai Li, Youfen Chen, Zhiqiang Zhang, Jianghong Zhong, Weihua Ou

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

The extended collaborative representation-based classification.

Jianping Gou, Bing Hou, Weihua Ou, Jia Ke, Hebiao Yang, Yong Liu

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Signal detection of MIMO-OFDM system based on auto encoder and extreme learning machine.

Xin Yan, Fei Long, Jingshuai Wang, Na Fu, Weihua Ou, Bin Liu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Deep Context Convolutional Neural Networks for Semantic Segmentation.

Wenbin Yang, Quan Zhou, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huimin Lu, Jie Cheng, Longin Jan Latecki

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

Sparse discriminative multi-manifold embedding for one-sample face identification.

Pengyue Zhang, Xinge You, Weihua Ou, C. L. Philip Chen, Yiu-ming Cheung

Pattern Recognit., 2016

Robust Personalized Ranking from Implicit Feedback.

Gai Li, Liyang Wang, Weihua Ou

Int. J. Pattern Recognit. Artif. Intell., 2016

STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes.

Shujian Yu, Xinge You, Weihua Ou, Xiubao Jiang, Kexin Zhao, Ziqi Zhu, Yi Mou, Xinyi Zhao

Neurocomputing, 2016

Multi-view non-negative matrix factorization by patch alignment framework with view consistency.

Weihua Ou, Shujian Yu, Gai Li, Jian Lu, Kesheng Zhang, Gang Xie

Neurocomputing, 2016

Pairwise probabilistic matrix factorization for implicit feedback collaborative filtering.

Gai Li, Weihua Ou

Neurocomputing, 2016

A scrambling and encryption algorithm for selective block of identification photo.

Qingling Jiang, Wu Zeng, Weihua Ou, Renhong Xu

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Robust background exclusion for salient object detection.

Yuming Hu, Quan Zhou, Guangwei Gao, Zhijun Yao, Weihua Ou, Longin Jan Latecki

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Multi-view Clustering via Co-regularized Nonnegative Matrix Factorization with Correlation Constraint.

Yi Tan, Weihua Ou, Fei Long, Pengpeng Wang, Yunhao Xue

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2015

Robust Nonnegative Patch Alignment for Dimensionality Reduction.

Xinge You, Weihua Ou, Chun Lung Philip Chen, Qiang Li, Ziqi Zhu, Yuanyan Tang

IEEE Trans. Neural Networks Learn. Syst., 2015

An adaptive hybrid pattern for noise-robust texture analysis.

Ziqi Zhu, Xinge You, C. L. Philip Chen, Dacheng Tao, Weihua Ou, Xiubao Jiang, Jixing Zou

Pattern Recognit., 2015

Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement.

Shujian Yu, Xinge You, Xiubao Jiang, Kexin Zhao, Yi Mou, Weihua Ou, Yuanyan Tang, C. L. Philip Chen

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Kernel normalized mixed-norm algorithm for system identification.

Shujian Yu, Xinge You, Kexin Zhao, Weihua Ou, Yuanyan Tang

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations.

Shujian Yu, Xinge You, Xiubao Jiang, Weihua Ou, Ziqi Zhu, Yixiao Zhao, C. L. Philip Chen, Yuanyan Tang

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Webcam-Based Visual Gaze Estimation Under Desktop Environment.

Shujian Yu, Weihua Ou, Xinge You, Xiubao Jiang, Yun Zhu, Yi Mou, Weigang Guo, Yuanyan Tang, C. L. Philip Chen

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition.

Weihua Ou, Gai Li, Shujian Yu, Gang Xie, Fujia Ren, Yuanyan Tang

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Single image rain streaks removal based on self-learning and structured sparse representation.

Shujian Yu, Weihua Ou, Xinge You, Yi Mou, Xiubao Jiang, Yuanyan Tang

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014

Local Metric Learning for Exemplar-Based Object Detection.

Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, Mingming Gong

IEEE Trans. Circuits Syst. Video Technol., 2014

Robust face recognition via occlusion dictionary learning.

Weihua Ou, Xinge You, Dacheng Tao, Pengyue Zhang, Yuanyan Tang, Ziqi Zhu

Pattern Recognit., 2014

Multi-view embedding learning via robust joint nonnegative matrix factorization.

Weihua Ou, Kesheng Zhang, Xinge You, Fei Long

Proceedings of the Proceedings IEEE International Conference on Security, 2014

2013

Learning a Sparse Representation for Robust Face Recognition.

Weihua Ou, Xinge You, Pengyue Zhang, Xiubao Jiang, Ziqi Zhu, Duanquan Xu

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Structured sparse coding for image representation based on L1-graph.

Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang

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