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歐衛(wèi)華，華中科技大學(xué)博士，悉尼科技大學(xué)博士后（合作導(dǎo)師IEEE Fellow陶大程教授），貴州師范大學(xué)教授， 博士生導(dǎo)師，大數(shù)據(jù)與計(jì)算機(jī)科學(xué)學(xué)院副院長，校學(xué)術(shù)委員會(huì)委員，貴州省高層次創(chuàng)新型“百層次”人才，貴州省優(yōu)秀青年科技人才。 貴州省人工智能學(xué)會(huì)副理事長，CCF貴陽分部副主席，中國大學(xué)生計(jì)算機(jī)設(shè)計(jì)大賽貴州省賽區(qū)組委會(huì)秘書長、貴州省人工智能學(xué)會(huì)智能醫(yī)學(xué)影像專委會(huì)副主任委員、中國計(jì)算機(jī)學(xué)會(huì)高級(jí)會(huì)員，中國計(jì)算機(jī)學(xué)會(huì)計(jì)算機(jī)視覺專委會(huì)執(zhí)行委員、中國圖象圖形學(xué)學(xué)會(huì)多媒體專委會(huì)委員、中國人工智能學(xué)會(huì)青年工作委員會(huì)委員。國家自然科學(xué)基金委通訊評(píng)審專家、貴州省科技廳、貴州省大數(shù)據(jù)管理局和廣西科技廳專家?guī)鞂＜?。主要研究方向?yàn)榭缑襟w智能分析、計(jì)算機(jī)視覺和模式識(shí)別，主持完成國家自然科學(xué)基金青年基金等國家及省部級(jí)項(xiàng)目7項(xiàng)。在國際頂級(jí)期刊IEEE-TNNLS、IEEE-TITS, PR和國際著名會(huì)議ICME、ICASSP等發(fā)表SCI /EI 論文80多篇，谷歌學(xué)術(shù)引用2000余次，H-指數(shù)22，申請(qǐng)授權(quán)發(fā)明專利6項(xiàng)。擔(dān)任《Computers & Electrical Engineering》客座主編，《Cognitive Robotics》副主編，AAAI，IJCAI， PRCV, ChinaMM, CCBR，ICIG，ISAIR等國內(nèi)外學(xué)術(shù)會(huì)議程序委員會(huì)主席/組織委員會(huì)主席/程序委員會(huì)委員及多種國際期刊審稿人，獲得國際人工智能與機(jī)器人（ISAIR2020）最佳論文獎(jiǎng)。

近年來主要從事多模態(tài)人工智能研究，包括計(jì)算機(jī)視覺、圖神經(jīng)網(wǎng)絡(luò)和跨媒體檢索與推薦等， 在國際權(quán)威期刊《IEEE Trans. On Neural Network and Learning System》《 IEEE Trans. Intell. Transp. Syst.》《IEEE Trans. On Multimedia》《Pattern Recognition》和國際會(huì)議ICME, ICASSP等發(fā)表論文80多篇， 其中SCI檢索60多篇, EI檢索20多篇, Google Scholar Citation 2000多次，H-index 22, https://dblp.org/pid/126/1061.html, 申請(qǐng)授權(quán)發(fā)明專利6項(xiàng)。

  招生：博士、碩士招生，歡迎數(shù)學(xué)英語基礎(chǔ)好，有一定編程基礎(chǔ)且對(duì)圖神經(jīng)網(wǎng)絡(luò)和多模態(tài)人工智能研究感興趣的同學(xué)聯(lián)系報(bào)考，郵箱：ouweihuahust@gznu.edu.cn  或者 1305532268@qq.com！

擔(dān)任《Computers & Electrical Engineering》客座主編，《Cognitive Robotics》副主編，AAAI，IJCAI，CVPR, PRCV, ChinaMM, CCBR，ICIG，ISAIR等國內(nèi)外頂級(jí)會(huì)議程序委員會(huì)主席/組織委員會(huì)主席/程序委員會(huì)委員及多種國際期刊審稿人。

[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] 貴州省百層次創(chuàng)新型人才

[2] 貴州省優(yōu)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] 貴州師范大學(xué)科研工作先進(jìn)個(gè)人 2017年，2019年

[7] 貴州師范大學(xué)優(yōu)秀教師 2019年

[8] 貴州師范大學(xué) 優(yōu)秀共產(chǎn)黨員

主持完成國家自然科學(xué)基金、省自然科學(xué)基金、企業(yè)橫向課題等10余項(xiàng)，入選貴州省優(yōu)秀青年科技人才培養(yǎng)對(duì)象。

[1] 國家自然科學(xué)基金： 基于魯棒判別式非負(fù)字典學(xué)習(xí)的遮擋人臉識(shí)別研究，2015.1—2017.12,主持.

[2]國家自然科學(xué)基金：基于結(jié)構(gòu)約束的跨模態(tài)檢索方法研究，2018.1—2021.12.，主持。

[3]國家自然科學(xué)基金：面向人臉視頻的心率檢測關(guān)鍵問題研究，2020.1-2023.12，主持。

[4]國家自然科學(xué)基金：知識(shí)驅(qū)動(dòng)的胸部X線影像與診斷報(bào)告跨模態(tài)檢索方法研究，2023.1-2026.12，主持。

[5] 貴州省科技廳自然科學(xué)基金，基于子空間嵌入的語義圖像檢索研究, 2017.10-2020.12，主持。

[6]入選貴州省第十二批優(yōu)秀青年科技人才，2019.10-2022.12，主持。

[7]入選貴州省高層次創(chuàng)新型人才“百層次”，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