【教师简介】

欧卫华，华中科技大学博士，悉尼科技大学博士后，教授，博士生导师，校学术委员会委员，贵州省百层次创新型人才，贵州省优秀青年科技人才。贵州省人工智能学会副理事长，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。主要研究方向为多模态人工智能，具体包括多模态机器学习、图神经网络及应用、大模型应用与开发，主持国家自然科学基金青年基金等国家及省部级项目10余项。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IEEE-TIP,IEEE-TNNLS, PR等国际期刊审稿人，获得国际人工智能与机器人（ISAIR2020）最佳论文奖。邮箱：1305532268@qq.com。

【主要经历】

1999.09—2003.07 湖南省 怀化学院 数学与应用数学专业 本科

2003.09—2006.04 东南大学 数学系 运筹学与控制论 硕士

2010.09—2014.06 华中科技大学 信息与通信工程 博士

2016.11—2017.11 悉尼科技大学 人工智能 博士后

2006.04—2010.08 湖南省 怀化学院 数学与应用数学系 教师

2008.04-2010.08 湖南省 怀化学院 数学与应用数学系 教研室主任

2014.09-2014.12 贵州师范大学 数学与计算机科学学院 教师

2015.01-2019.12 贵州师范大学 大数据与计算机科学学院 副教授

2020.01-至今 贵州师范大学 大数据与计算机科学学院 教授

【主要贡献】

[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]贵州省第十二批优秀青年科技人才培养对象，2019.10-2022.12，主持

[7]贵州省第七批高层次创新型人才“百层次”，2023.10-2028.10，主持

●论文

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

2. 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)

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

4. 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)

5. 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)

6. 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

7. 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)

8. 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)

9. 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)

10. 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)

11. 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)

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

13. 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)

14. 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)

15. 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)

16. 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)

17. 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)

18. 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)

19. 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)

20. 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)

21. 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)

22. 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)

23. 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)

24. 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)

25. 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)

26. 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)

27. 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)

28. 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)

29. 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)

30. 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)

31. 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)

32. 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)

33. 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)

34. 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

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

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

37. 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)

38. 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)

39. 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)

40. 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)

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

42. 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)

43. 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)

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

45. 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

46. 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

47. 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)

48. 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)

49. 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)

50. 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)

51. 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)

52. 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

53. 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

54. 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

55. 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

56. 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

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

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

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

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

61. 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)

62. 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)

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

64. 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)

65. 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

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

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

68. 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)

69. 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)

70. 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

71. 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

72. 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

73. 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

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

75. 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

76. 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)

77. 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)

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

79. 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

80. 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

●个人获奖

1. 2021年获得第十二届“贵州师范大学本科教学质量奖”

2. 2019年获得“贵州师范大学优秀教师”

3. 2021年获得“贵州师范大学优秀共产党员”

4. 2021年获得贵州师范大学“三创”竞赛优秀指导教师

5. 2017年获得贵州师范大学科研先进个人

6. 2019年获得贵州师范大学科研先进个人

7. 国际人工智能与机器人最佳论文奖（ISAIR202Best Paper Award）

●学生指导

1. 项目名称：面向居家养老的老人跌倒监测预警关键技术研究，项目编号：202110663014，项目类别：国家级大学生创新创业训练计划项目，项目年限：2021-2022，项目状态：已结题，指导老师：欧卫华

2. 项目名称：非接触式心率检测关键技术研究，项目编号：201810663008，项目类别：国家级大学生创新创业训练计划项目，项目年限：2018-2019，项目状态：已结题，指导老师：欧卫华

3. 指导2018级研究生邓佳鑫获2020年硕士研究生国家奖学金

4. 指导2018级研究生熊海霞获2020年贵州省三好学生

5. 指导梁林清获“华为杯”第十八届全国研究生数学建模竞赛二等奖

6. 指导陈龙保获“华为杯”第十八届全国研究生数学建模竞赛二等奖

7. 指导冯士华获“华为杯”第十八届全国研究生数学建模竞赛二等奖