AI团队

杜海顺  博士/教授/硕导

主要从事模式识别、图像处理、机器学习等相关研究。先后主持国家自然科学基金项目、河南省科技攻关项目、河南省教育厅项目等项目6项，参与国家自然科学基金、国防科技工业民用专项、省市科技攻关与科技重点研发项目及横向项目10余项，在国内外学术期刊上发表论文40余篇。获河南省优秀硕士论文指导教师称号，获河南省教学技能大赛二等奖1项、河南省自然科学优秀学术论文奖二等奖2项。

国家自然科学基金委通讯评审专家

教育部学位论文评审专家

河南省数字图形图像学会第二届常务理事

电子邮箱：jddhs@henu.edu.cn

教育及工作经历：

2001.09-2004.06 河南科技大学 硕士研究生

2004.09-2007.11 东南大学 博士研究生

2007.12至今        bevictor伟德官网教师

研究领域：

模式识别、图像处理、机器学习

主要荣誉:

河南省优秀硕士论文指导教师

bevictor伟德官网教学质量竞赛特等奖

bevictor伟德官网优秀实习指导教师

主讲课程：

《机器学习》、《神经网络与深度学习》、《矩阵论》、《过程控制》

论文：

[1] Linbing He, Haishun Du*, Yiming Fu, Yanfang Ye, Multiple camera styles learning for unsupervised person re-identification, Optik, 227, 170718 (2023).

[2] Haishun Du*, Yanfang Ye, Yonghao Zhang, Linbing He, "Joint structured constraint discriminant analysis dictionary learning for pattern classification," J. Electron. Imaging 32(1), 013033 (2023)

[3] Haishun Du*, Linbing He, Panting Liu, Xinxin Hao, Inter-domain Fusion and Intra-domain Style Normalization Network for Unsupervised Domain Adaptive Person Re-identification, Digital Signal Processing, 2023:103848.

[4] Haishun Du*, Zhaoyang Li, Panting Liu, Linbing He, Dongdong Huo, Two‐level salient feature complementary network for person re-identification. International Journal of Intelligent Systems, 2022, 37(9): 5971-5995.

[5] Haishun Du*, Panting Liu, Zhaoyang Li, Yonghao Zhang, Yanfang Ye, "Local information interaction enhancement network for person re-identification," J. Electron. Imaging,  2022, 31(3), 033031.

[6] Ping Zhang, Haishun Du*, Luogang Ma. Joint projection learning and structured analysis-synthesis dictionary pair learning for pattern classification, Journal of Electronic, 2022, 31(1):013010.  

[7] Haishun Du*, Yonghao Zhang, Luogang Ma, Fan Zhang, Structured discriminant analysis dictionary learning for pattern classification, Knowledge-Based Systems, 2021, 216, 106794.

[8] Yuxi Wang, Haishun Du*, Yonghao Zhang, Yanyu Zhang. Efficient and robust discriminant dictionary pair learning for pattern classification, Digital Signal Processing, 2021,118, 103227.

[9] Haishun Du*, Yuxi Wang, Fan Zhang, Yi Zhou, Low-Rank Discriminative Adaptive Graph Preserving Subspace Learning, Neural Processing Letters,2020,52(3), 2127-2149.

[10] Sheng Wang, Haishun Du*, Ge Zhang*, Jianfeng Lu, Jingyu Yang. Robust canonical correlation analysis based on L1-norm minimization for feature learning and image recognition. Journal of Electronic imaging. 2020, 29(2).

[11] Haishun Du*, Luogang Ma, Guodong Li, Sheng Wang. Low-rank graph preserving discriminative dictionary learning for image recognition. Knowledge-Based Systems, 2020,187,104823.

[12] Haishun Du, Guodong Li, Sheng Wang*, Fan Zhang. Discriminant locality preserving projections based on L_2,p-norm for image feature extraction and recognition, Journal of visual communication and image representation, 2019, 58: 166-177.

[13] Haishun Du*, Luogang Ma, Qingpu Hu, Sheng Wang, Yanyu Zhang. Adaptive locality-constrained regularized robust coding for image recognition, Optik-International Journal for Light and Electron Optics, 2019, 178: 1208-1217.

[14] Haishun Du, Zhaolong Zhao, Sheng Wang*, Fan Zhang, Discriminative low-rank graph preserving dictionary learning with Schatten-p quasi-norm regularization for image recognition. Neurocomputing, 2018, 275: 697-710.  

[15] Haishun Du, Zhaolong Zhao, Sheng Wang*, Qingpu Hu. Two-dimensional discriminant analysis based on Schatten p-norm for image feature extraction. Journal of Visual Communication and Image Representation, 2017, 45: 87-94.

科研项目：

[1] 基于低秩稀疏表示的农作物叶部病害图像识别方法研究, 国家自然科学基金，主持，2016.01-2018.12

[2] 基于判别字典对学习的农作物病害图像识别技术研究,河南省科技攻关项目，主持,2022.01-2023.12

[3] 面向智能辅助驾驶的车道线检测及车辆检测与追踪技术研究，河南省科技攻关项目，主持，2017.01-2018.12[4] 基于低秩稀疏表示的农作物病害图像识别方法研究, 河南省教育厅科学技术研究重点项目, 主持，2015.01-2017.12

[5] 复杂环境下基于图像稀疏表示的小样本人脸识别方法研究,河南省基础与前沿技术研究计划项目,主持,2013.01-2014.12

专利：

一种基于图嵌入低秩稀疏表示恢复的稀疏表示人脸识别方法 ZL 201410607957.2