欧卫华，华中科技大学博士，悉尼科技大学博士后（合作导师IEEE Fellow陶大程教授），贵州师范大学教授， 博士生导师，大数据与计算机科学学院副院长，校学术委员会委员，贵州省高层次创新型“百层次”人才，贵州省优秀青年科技人才。 贵州省人工智能学会副理事长，CCF贵阳分部副主席，中国大学生计算机设计大赛贵州省赛区组委会秘书长、贵州省人工智能学会智能医学影像专委会副主任委员、中国计算机学会高级会员，中国计算机学会计算机视觉专委会执行委员、中国图象图形学学会多媒体专委会委员、中国人工智能学会青年工作委员会委员。国家自然科学基金委通讯评审专家、贵州省科技厅、贵州省大数据管理局和广西科技厅专家库专家。主要研究方向为跨媒体智能分析、计算机视觉和模式识别，主持完成国家自然科学基金青年基金等国家及省部级项目7项。在国际顶级期刊IEEE-TNNLS、IEEE-TITS, PR和国际著名会议ICME、ICASSP等发表SCI /EI 论文80多篇，谷歌学术引用2000余次，H-指数22，申请授权发明专利6项。担任《Computers & Electrical Engineering》客座主编，《Cognitive Robotics》副主编，AAAI，IJCAI， PRCV, ChinaMM, CCBR，ICIG，ISAIR等国内外学术会议程序委员会主席/组织委员会主席/程序委员会委员及多种国际期刊审稿人，获得国际人工智能与机器人（ISAIR2020）最佳论文奖。

近年来主要从事多模态人工智能研究，包括计算机视觉、图神经网络和跨媒体检索与推荐等， 在国际权威期刊《IEEE Trans. On Neural Network and Learning System》《 IEEE Trans. Intell. Transp. Syst.》《IEEE Trans. On Multimedia》《Pattern Recognition》和国际会议ICME, ICASSP等发表论文80多篇， 其中SCI检索60多篇, EI检索20多篇, Google Scholar Citation 2000多次，H-index 22, https://dblp.org/pid/126/1061.html, 申请授权发明专利6项。

  招生：博士、硕士招生，欢迎数学英语基础好，有一定编程基础且对图神经网络和多模态人工智能研究感兴趣的同学联系报考，邮箱：ouweihuahust@gznu.edu.cn  或者 1305532268@qq.com！

担任《Computers & Electrical Engineering》客座主编，《Cognitive Robotics》副主编，AAAI，IJCAI，CVPR, PRCV, ChinaMM, CCBR，ICIG，ISAIR等国内外顶级会议程序委员会主席/组织委员会主席/程序委员会委员及多种国际期刊审稿人。

[1] IEEE Trans. on Image Processing

[2] IEEE Trans. on Cybernetics

[3] IEEE Trans. on Information Forensics & Security

[4] Neurocomputing

[5] Knowledge-Based Systems

[6] Computers and Electrical Engineering

[7] Applied soft computing

[8] Pattern Recognition 

[9] Pattern Recognition Letters

[10] Digital Signal Processing

[1] 贵州省百层次创新型人才

[2] 贵州省优秀青年科技人才

[3] ISAIR2020 Best Paper  Award

[4] Neurocomputing (2016,2017)  Outstangding Reviewer

[5] Pattern Recognition Letters  Outstangding Reviewer

[6] 贵州师范大学科研工作先进个人 2017年，2019年

[7] 贵州师范大学优秀教师 2019年

[8] 贵州师范大学 优秀共产党员

主持完成国家自然科学基金、省自然科学基金、企业横向课题等10余项，入选贵州省优秀青年科技人才培养对象。

[1] 国家自然科学基金： 基于鲁棒判别式非负字典学习的遮挡人脸识别研究，2015.1—2017.12,主持.

[2]国家自然科学基金：基于结构约束的跨模态检索方法研究，2018.1—2021.12.，主持。

[3]国家自然科学基金：面向人脸视频的心率检测关键问题研究，2020.1-2023.12，主持。

[4]国家自然科学基金：知识驱动的胸部X线影像与诊断报告跨模态检索方法研究，2023.1-2026.12，主持。

[5] 贵州省科技厅自然科学基金，基于子空间嵌入的语义图像检索研究, 2017.10-2020.12，主持。

[6]入选贵州省第十二批优秀青年科技人才，2019.10-2022.12，主持。

[7]入选贵州省高层次创新型人才“百层次”，2023.05-2028-04，主持

2024年

[j70] Jiahao Xiong , Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu: GraphPhys: Facial video-based physiological measurement with graph neural network. Comput. Electr. Eng. 113: 109022 (2024)

[j69] Yue Yu, Zhengjuan Zhou, Xianju Zheng, Jianping Gou, Weihua Ou, Fei Yuan:  Enhancing Label Correlations in multi-label classification through global-local label specific feature learning to Fill Missing labels. Comput. Electr. Eng. 113: 109037 (2024)

[j68] Weihua Ou , Longbao Chen, Jiahao Xiong, Jie Han, Wu Zeng, Jianping Gou； Non-contact heart rate measurement from face video based on group sparse representation. Digit. Signal Process. 144: 104288 (2024)

[j67] Zhonghua Liu, Weihua Ou, Jinbo Liu, Kaibing Zhang, Zhihui Lai, Hao Xiong: Discriminative transfer regression for low-rank and sparse subspace learning. Eng. Appl. Artif. Intell. 133: 108445 (2024)

[j66]  Zhonghua Liu , Weihua Ou, Kaibing Zhang, Hao Xiong: Robust manifold discriminative distribution adaptation for transfer subspace learning. Expert Syst. Appl. 238(Part E): 122117 (2024)

[j65] Jianping Gou , Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen: Hierarchical graph augmented stacked autoencoders for multi-view representation learning. Inf. Fusion 102: 102068 (2024)

[j64]  Jianping Gou , Nannan Xie, Yunhao Yuan , Lan Du, Weihua Ou , Zhang Yi : Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning. IEEE Trans. Multim. 26: 1319-1332 (2024)

[j63] Quan Zhou , Linjie Wang , Guangwei Gao, Bin Kang , Weihua Ou , Huimin Lu : Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context. IEEE Trans. Multim. 26: 7887-7900 (2024)

2023年

[j62] Yanyan Yang, Zhonghua Liu, Weihua Ou, Wenpeng Lu, Yong Liu, Ruijuan Zheng: Blind super-resolution model based on unsupervised degenerate indication learning. Comput. Electr. Eng. 111(Part B): 108958 (2023)

[j61]Tiansheng Wang, Zhonghua Liu, Weihua Ou, Hua Huo: Domain adaptation based on feature fusion and multi-attention mechanism. Comput. Electr. Eng. 108: 108726 (2023)

[j60] Qiuyu Hu, Wu Zeng, Yi Sheng, Jian Xu, Weihua Ou, Ruochen Tan: Study on Real-Time Heart Rate Detection Based on Multi-People. Comput. Syst. Sci. Eng. 44(2): 1397-1408 (2023)

[j59]Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Hua Huo: Discriminative sparse least square regression for semi-supervised learning. Inf. Sci. 636: 118903 (2023)

[j58] Jianping Gou, Xiangshuo Xiong, Hongwei Wu, Lan Du, Shaoning Zeng, Yunhao Yuan, Weihua Ou: Locality-constrained weighted collaborative-competitive representation for classification. Int. J. Mach. Learn. Cybern. 14(2): 363-376 (2023)

[j57] Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi:
Multilevel Attention-Based Sample Correlations for Knowledge Distillation. IEEE Trans. Ind. Informatics 19(5): 7099-7109 (2023)

2022年

[j56]Weihua Ou, Jiaxin Deng, Lei Zhang, Jianping Gou, Quan Zhou: Cross-Modal Generation and Pair Correlation Alignment Hashing. IEEE Trans. Intell. Transp. Syst. 24(3): 3018-3026 (2023) 2022

[j55] Yong Zhang, Weihua Ou, Jiacheng Zhang, Jiaxin Deng: Category supervised cross-modal hashing retrieval for chest X-ray and radiology reports. Comput. Electr. Eng. 98: 107673 (2022)

[j54] Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Shuzhi Su: Fusion of effective dimension reduction and discriminative dictionary learning for high-dimensional classification. Comput. Electr. Eng. 99: 107684 (2022)

[j53] Quan Zhou, Qianwen Wang, Yunchao Bao, Lingjun Kong, Xin Jin, Weihua Ou:
LAEDNet: A Lightweight Attention Encoder-Decoder Network for ultrasound medical image segmentation. Comput. Electr. Eng. 99: 107777 (2022)

[j52] Weian Li, Haixia Xiong, Weihua Ou, Jianping Gou, Jiaxing Deng, Linqing Liang, Quan Zhou: Semantic Constraints Matrix Factorization Hashing for cross-modal retrieval. Comput. Electr. Eng. 100: 107842 (2022)

[j51] Kaiming Shi, Zhonghua Liu, Wenpeng Lu, Weihua Ou, Chunlei Yang: Unsupervised domain adaptation based on adaptive local manifold learning. Comput. Electr. Eng. 100: 107941 (2022)

[j50] Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou: Semi-supervised constrained graph convolutional network for cross-modal retrieval. Comput. Electr. Eng. 101: 107994 (2022)

[j49] Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou: Semi-supervised cross-modal retrieval with graph-based semantic alignment network. Comput. Electr. Eng. 102: 108218 (2022)

[j48] Shuangxi Wang, Hong-Wei Ge, Jianping Gou, Weihua Ou, He-Feng Yin, Guo-Qing Liu, Yeerjiang Halimu: Kernelized discriminative-collaborative representation-based approach for pattern classification. Comput. Electr. Eng. 103: 108342 (2022)

[j47] Jianping Gou, Liyuan Sun, Lan Du, Hongxing Ma, Taisong Xiong, Weihua Ou, Yongzhao Zhan: A representation coefficient-based k-nearest centroid neighbor classifier. Expert Syst. Appl. 194: 116529 (2022)

[j46] Yufeng Shi, Xinge You, Yue Zhao, Jiamiao Xu, Weihua Ou, Feng Zheng, Qinmu Peng: PSIDP: Unsupervised deep hashing with pretrained semantic information distillation and preservation. Neurocomputing 502: 1-14 (2022)

[j45] Haixia Xiong, Weihua Ou, Zengxian Yan, Jianping Gou, Quan Zhou, Anzhi Wang: Modality-specific matrix factorization hashing for cross-modal retrieval. J. Ambient Intell. Humaniz. Comput. 13(11): 5067-5081 (2022)

[j44] Jianping Gou, Xin He, Junyu Lu, Hongxing Ma, Weihua Ou, Yunhao Yuan:
A class-specific mean vector-based weighted competitive and collaborative representation method for classification. Neural Networks 150: 12-27 (2022)

[j43]Yufeng Shi, Yue Zhao, Xin Liu, Feng Zheng, Weihua Ou, Xinge You, Qinmu Peng:
Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7255-7268 (2022)

[j42] Xiao Luan, Yuanyuan Zhao, Weihua Ou, Linghui Liu, Weisheng Li, Yucheng Shu, Hongmin Geng: Collaborative Learning With a Multi-Branch Framework for Feature Enhancement. IEEE Trans. Multim. 24: 929-941 (2022)

[j41] Yong Zhang, Weihua Ou, Yufeng Shi, Jiaxin Deng, Xinge You, Anzhi Wang:
Deep medical cross-modal attention hashing. World Wide Web 25(4): 1519-1536 (2022)

2021年

[j40]  Fei Long, Cai Liu, Weihua Ou: Almost sure stability for a class of dual switching linear discrete-time systems. Concurr. Comput. Pract. Exp. 33(15) (2021)  

[j39]  Quan Zhou, Jie Wang, Jia Liu, Shenghua Li, Weihua Ou, Xin Jin: RSANet: Towards Real-Time Object Detection with Residual Semantic-Guided Attention Feature Pyramid Network. Mob. Networks Appl. 26(1): 77-87 (2021)

[j38] Jianping Gou, Hongwei Wu, Heping Song, Lan Du, Weihua Ou, Shaoning Zeng, Jia Ke: Double Competitive Constraints-Based Collaborative Representation for Pattern Classification. Comput. Electr. Eng. 84: 106632 (2020)

[j37] Zhonghua Liu, Kaiming Shi, Kaibing Zhang, Weihua Ou, Lin Wang: Discriminative sparse embedding based on adaptive graph for dimension reduction. Eng. Appl. Artif. Intell. 94: 103758 (2020)

2020年

[j36] Lei Zhang, Leiting Chen, Weihua Ou, Chuan Zhou: Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network. J. Vis. Commun. Image Represent. 73: 102899 (2020)

[j35] Quan Zhou, Jie Cheng, Huimin Lu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Weihua Ou, Longin Jan Latecki: Learning adaptive contrast combinations for visual saliency detection. Multim. Tools Appl. 79(21-22): 14419-14447 (2020)

[j34] Weihua Ou, Ruisheng Xuan, Jianping Gou, Quan Zhou, Yongfeng Cao: Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity. Multim. Tools Appl. 79(21-22): 14733-14750 (2020)

[j33] Yuteng Zhang, Wenpeng Lu, Weihua Ou, Guoqiang Zhang, Xu Zhang, Jinyong Cheng, Weiyu Zhang: Chinese medical question answer selection via hybrid models based on CNN and GRU. Multim. Tools Appl. 79(21-22): 14751-14776 (2020)

[j32] Jianping Gou, Bing Hou, Yunhao Yuan, Weihua Ou, Shaoning Zeng: A new discriminative collaborative representation-based classification method via l2 regularizations. Neural Comput. Appl. 32(13): 9479-9493 (2020)

[j31] Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao: Weighted discriminative collaborative competitive representation for robust image classification. Neural Networks 125: 104-120 (2020)

[j30] Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Ruijuan Zheng: Structured optimal graph based sparse feature extraction for semi-supervised learning. Signal Process. 170: 107456 (2020)

[j29]  Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao Weighted discriminative collaborative competitive representation for robust image       classification. Neural Networks 125: 104-120 (2020)

[j28] Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Ruijuan Zheng: Structured optimal graph based sparse feature extraction for semi-supervised learning.Signal Process. 170: 107456 (2020)2010 – 2019 

2019年 

[j27]  Weihua Ou, Jianping Gou, Quan Zhou, Shiming Ge, Fei Long: Discriminative Multiview Nonnegative Matrix Factorization for Classification. IEEE Access 7: 60947- 60956 (2019)

[j26] Fei Long, Kai Zhou, Weihua Ou: Sentiment Analysis of Text Based on Bidirectional LSTM With Multi-Head Attention. IEEE Access 7: 141960-141969 (2019)

[j25] Jianping Gou, Jun Song, Weihua Ou, Shaoning Zeng, Yun-Hao Yuan, Lan Du: Representation-based classification methods with enhanced linear reconstruction measures for face recognition. Comput. Electr. Eng. 79 (2019)

[j24]Jianping Gou, Junyu Lu, Heping Song, Hongxing Ma, Weihua Ou, Jia Ke: Discriminative, Competitive, and Collaborative Representation-Based Classification with l2-Norm Regularizations. Complexity 2019: 3251026:1-3251026:14 (2019) 

[j23] Jianping Gou, Hongxing Ma, Weihua Ou, Shaoning Zeng, Yunbo Rao, Hebiao Yang: A generalized mean distance-based k-nearest neighbor classifier. Expert Syst. Appl. 115: 356- 372 (2019)

[j22] Jianping Gou, Bing Hou, Weihua Ou, Qirong Mao, Hebiao Yang, Yong Liu: Several robust extensions of collaborative representation for image classification.Neurocomputing,348: 120-133 (2019)

[j21] Zhonghua Liu, Weihua Ou, Wenpeng Lu, Lin Wang: Discriminative feature extraction based on sparse and low-rank representation. Neurocomputing 362: 129-138 (2019) 

[j20] Jianping Gou, Wenmo Qiu, Zhang Yi, Xiangjun Shen, Yongzhao Zhan, Weihua Ou: Locality constrained representation-based K-nearest neighbor classification. Knowl. Based Syst. 167: 38-52 (2019) 

[j19] Quan Zhou, Wenbin Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, Longin Jan Latecki: Multi-scale deep context convolutional neural networks for semantic   segmentation. World Wide Web 22(2): 555-570 (2019)

[c23] Dechun Cong, Quan Zhou, Jie Cheng, Xiaofu Wu, Suofei Zhang, Weihua Ou, Huimin Lu: CAN: Contextual Aggregating Network for Semantic Segmentation. ICASSP2019: 1892-1896 

[c22] Jianping Gou, Lei Wang, Zhang Yi, Yun-Hao Yuan, Weihua Ou, Qirong Mao: Discriminative Group Collaborative Competitive Representation for Visual Classification. ICME 2019: 1474-1479 

[p3]Quan Zhou, Yawen Fan, Weihua Ou, Huimin Lu: Saliency Detection via Objectness Transferring. Cognitive Internet of Things 2019: 201-211

[p2]Yuteng Zhang, Wenpeng Lu, Weihua Ou, Ruoyu Zhang, Xu Zhang, Shutong Yue:Chinese Medical Question Answer Matching with Stack-CNN. Cognitive Internet of Things 2019: 455-462 

[p1] Ruisheng Xuan, Weihua Ou, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, Fangming Ruan: Semantics Consistent Adversarial Cross-Modal Retrieval. Cognitive Internet of Things 2019: 463-472 

2018年

[j18] Quan Zhou, Cheng Zhang, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu, Weihua Ou, Wei-Ping Zhu, Longin Jan Latecki: Face recognition via fast dense correspondence. Multimedia Tools Appl. 77(9): 10501-10519 (2018)

[j17] Weihua Ou, Di Yuan, Qiao Liu, Yongfeng Cao: Object tracking based on online representative sample selection via non-negative least square. Multimedia Tools  Appl. 77(9): 10569-10587 (2018)

[j16] Weihua Ou, Fei Long, Yi Tan, Shujian Yu, Pengpeng Wang: Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning. Multimedia Tools Appl. 77(10): 12955-12978 (2018)

[j15] Xiao Ma, Qiao Liu, Weihua Ou, Quan Zhou: Visual object tracking via coefficients constrained exclusive group LASSO. Mach. Vis. Appl.29(5):749-763 (2018)

[j14]Weihua Ou, Xiao Luan, Jianping Gou, Quan Zhou, Wenjun Xiao, Xiangguang Xiong, Wu Zeng: Robust discriminative nonnegative dictionary learning for occluded face recognition. Pattern Recognition Letters 107: 41-49 (2018)

2017年

[j13] Weihua Ou, Wenjun Xiao:Sparsity constrained model for the semantic features selection. IJAMC 7(2): 113-123 (2017)

[j12] Weihua Ou, Wenjun Xiao: Structured sparsity model with spatial similarity regularisation for semantic feature selection. IJAMC 7(2): 138-149 (2017)

[j11]Weihua Ou, Di Yuan, Donghao Li, Bin Liu, Dao-Xun Xia, Wu Zeng: Patch-based visual tracking with online representative sample selection. J. Electronic Imaging 26(3): 33006 (2017)

[j10] Qiao Liu, Xiao Ma, Weihua Ou, Quan Zhou:Visual object tracking with online sample selection via lasso regularization. Signal, Image and Video Processing 11(5): 881-888 (2017

[c21] Wenbin Yang, Quan Zhou, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huimin Lu, Jie Cheng, Longin Jan Latecki: Deep Context Convolutional Neural Networks for Semantic Segmentation. CCCV (1) 2017: 696-704

[c20]Xin Yan, Fei Long, Jingshuai Wang, Na Fu, Weihua Ou, Bin Liu: Signal detection of MIMO-OFDM system based on auto encoder and extreme learning machine. IJCNN 2017: 1602-1606

[c19] Hongxing Ma, Jianping Gou, Weihua Ou, Shaoning Zeng, Yunbo Rao, Hebiao Yang: A new nearest neighbor classifier based on multi-harmonic mean distances. SPAC 2017: 31-36

[c18]Fei Long, Weihua Ou, Kesheng Zhang, Yi Tan, Yunhao Xue, Gai Li: Discriminative multiview nonnegative matrix factorization with large mar.gin for image classification. SPAC 2017: 37-42

[c17]Jianping Gou, Bing Hou, Weihua Ou, Jia Ke, Hebiao Yang, Yong Liu: The extended collaborative representation-based classification. SPAC 2017: 112-117

[c16] Kesheng Zhang, Xiaoxue Guo, Wensheng Hu, Weihua Ou: Recognition of acoustic effective relaxational lines for gas detection using minimum distance clustering. SPAC 2017: 215-218

[c15] Gai Li, Youfen Chen, Zhiqiang Zhang, Jianghong Zhong, Weihua Ou: Social personalized ranking recommendation algorithm by trust. SPAC 2017: 273-277

[c14]Xiao Luan, Huaming Wang, Weihua Ou, Linghui Liu: Face liveness detection with recaptured feature extraction. SPAC 2017: 429-432

[c13] Jingshuai Wang, Fei Long, Weihua Ou: CNN-based color image encryption algorithm using DNA sequence operations. SPAC 2017: 730-736

2016年

[j9] Gai Li, Weihua Ou:Pairwise probabilistic matrix factorization for implicit feedback collaborative filtering. Neurocomputing 204: 17-25 (2016)

[j8] Weihua Ou, Shujian Yu, Gai Li, Jian Lu, Kesheng Zhang, Gang Xie: Multi-view non-negative matrix factorization by patch alignment framework with view consistency. Neurocomputing 204: 116-124 (2016)

[j7] Shujian Yu, Xinge You, Weihua Ou, Xiubao Jiang, Kexin Zhao, Ziqi Zhu, Yi Mou, Xinyi Zhao: STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes. Neurocomputing 204: 211-221 (2016)

[j6] Gai Li, Liyang Wang, Weihua Ou: Robust Personalized Ranking from Implicit Feedback. IJPRAI 30(1) (2016)

[j5] Pengyue Zhang, Xinge You, Weihua Ou, C. L. Philip Chen, Yiu-ming Cheung: Sparse discriminative multi-manifold embedding for one-sample face identification. Pattern Recognition 52: 249-259 (2016)

[c12]Yi Tan, Weihua Ou, Fei Long, Pengpeng Wang, Yunhao Xue: Multi-view Clustering via Co-regularized Nonnegative Matrix Factorization with Correlation Constraint. CCBD 2016: 1-6

[c11]Yuming Hu, Quan Zhou, Guangwei Gao, Zhijun Yao, Weihua Ou, Longin Jan Latecki:Robust background exclusion for salient object detection. WCSP 2016: 1-5

[c10]Qingling Jiang, Wu Zeng, Weihua Ou, Renhong Xu: A scrambling and encryption algorithm for selective block of identification photo. WCSP 2016: 1-5

2015年

[j4] Ziqi Zhu, Xinge You, C. L. Philip Chen, Dacheng Tao, Weihua Ou, Xiubao Jiang, Jixing Zou: An adaptive hybrid pattern for noise-robust texture analysis. Pattern Recognition 48(8): 2592-2608 (2015)

[j3] Xinge You, Weihua Ou, Chun Lung Philip Chen, Qiang Li, Ziqi Zhu, Yuanyan Tang:Robust Nonnegative Patch Alignment for Dimensionality Reduction. IEEE Trans. Neural Netw. Learning Syst. 26(11): 2760-2774 (2015)

[c9] Shujian Yu, Weihua Ou, Xinge You, Yi Mou, Xiubao Jiang, Yuanyan Tang:Single image rain streaks removal based on self-learning and structured sparse representation. ChinaSIP 2015: 215-219

[c8] Shujian Yu, Xinge You, Xiubao Jiang, Weihua Ou, Ziqi Zhu, Yixiao Zhao, C. L. Philip Chen, Yuanyan Tang: Generalized Kernel Normalized Mixed-Norm Algorithm: Analysis and Simulations. ICONIP (2) 2015: 61-70

[c7] Weihua Ou, Gai Li, Shujian Yu, Gang Xie, Fujia Ren, Yuanyan Tang: Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition. ICONIP (4) 2015: 207-215

[c6] Shujian Yu, Weihua Ou, Xinge You, Xiubao Jiang, Yun Zhu, Yi Mou, Weigang Guo, Yuanyan Tang, C. L. Philip Chen: Webcam-Based Visual Gaze Estimation Under Desktop Environment. ICONIP (2) 2015: 457-466

[c5] Shujian Yu, Xinge You, Kexin Zhao, Weihua Ou, Yuanyan Tang: Kernel normalized mixed-norm algorithm for system identification. IJCNN 2015: 1-6

[c4] Shujian Yu, Xinge You, Xiubao Jiang, Kexin Zhao, Yi Mou, Weihua Ou, Yuanyan Tang, C. L. Philip Chen: Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement. SMC 2015: 1041-1046

2014年

[j2] Weihua Ou, Xinge You, Dacheng Tao, Pengyue Zhang, Yuanyan Tang, Ziqi Zhu:Robust face recognition via occlusion dictionary learning. Pattern Recognition 47(4): 1559-1572 (2014)

[j1] Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, Mingming Gong:Local Metric Learning for Exemplar-Based Object Detection. IEEE Trans. Circuits Syst. Video Techn. 24(8): 1265-1276 (2014)

[c3] Weihua Ou, Kesheng Zhang, Xinge You, Fei Long: Multi-view embedding learning via robust joint nonnegative matrix factorization. SPAC 2014: 169-174

2013年

[c2] Weihua Ou, Xinge You, Pengyue Zhang, Xiubao Jiang, Ziqi Zhu, Duanquan Xu:Learning a Sparse Representation for Robust Face Recognition. ICONIP (3) 2013: 233-240

2012年

[c1] Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang:Structured sparse coding for image representation based on L1-graph. ICPR 2012: 3220-3223