信 息 科 学 与 工 程 学 院

College of Information Science and Engineering

厚德笃志,勤思敏行

基本信息

basic information

  • 所在院系(中心): 电子工程系
  • 学历: 博士研究生
  • 政治面貌: 群众
  • 邮件地址: zhenghaiyong@gmail.com
  • 办公电话: 18661867997
  • 办公室: 信息科学与工程学院北楼A315

郑海永

Zheng HaiYong

课程介绍

course introduction

高级语言程序设计 面向对象程序设计 计算机视觉导论

教育及工作经历

education and work experience

2014年12月 - 至今,中国海洋大学,信息科学与工程学院,电子工程系,副教授。
2009年7月 - 2014年11月,中国海洋大学,信息科学与工程学院,电子工程系,讲师。

2004年9月 - 2009年6月,中国海洋大学,信息科学与工程学院,专业:海洋信息探测与处理,理学博士学位。
2000年9月 - 2004年6月,中国海洋大学,信息科学与工程学院,专业:电子信息工程,工学学士学位。

研究方向

research direction

人工智能、计算机视觉、机器学习、深度学习
实验室主页:http://vision.ouc.edu.cn

研究项目

research project

在研:
[11] 国家自然科学基金面上项目(National Natural Science Foundation of China)“类别不平衡条件下海洋浮游生物图像精细识别及其原位应用研究(Fine-grained image recognition of marine plankton under class imbalance and its in situ application)”(批准号:61771440,研究期限:2018年01月至2021年12月),主持,项目直接费用:67万元。
[10] 国家自然科学基金面上项目(National Natural Science Foundation of China)“海洋中小型浮游生物原位光学观测关键技术研究(Research on key technologies of in-situ optical observation for marine meso- and micro-plankton)”(批准号:41776113,研究期限:2018年01月至2021年12月),参与(第二位),项目直接费用:70万元。
[9] 国家自然科学基金青年科学基金项目(National Natural Science Foundation of China)“基于逻辑随机共振理论的水下视觉目标检测方法研究(Logical stochastic resonance based underwater image object detection)”(批准号:61703381,研究期限:2018年01月至2020年12月),参与(第二位),项目直接费用:25万元。
[8] 青岛市科技计划源头创新计划(应用研究专项—青年专项)(Qingdao Municipal Science and Technology Program)“基于深度学习的类别不平衡条件下海洋浮游生物图像精细识别(Fine-grained image recognition of marine plankton under class imbalance based on deep learning)”(批准号:17-1-1-5-jch,研究期限:2017年03月至2019年3月),主持,项目经费:10万元。
[7] 中央高校基本科研业务费(Fundamental Research Funds for the Central Universities)“海洋浮游动物原位探测与分析系统(In-situ Sensing and Analyzing System of Ocean Zooplankton )”(批准号:201562023,研究期限:2015年11月至2017年12月),主持,项目经费:100万元。

结题:
[6] 国家自然科学基金青年科学基金项目(National Natural Science Foundation of China)“基于视觉注意结合生物形态特征的海洋浮游植物显微图像分析(Microscopic image analysis of marine phytoplankton based on visual attention combined with biomorphic characteristics )”(批准号:61301240,研究期限:2014年01月至2016年12月),主持,本人经费/项目经费:26万元/26万元。
[5] 国家自然科学基金项目(National Natural Science Foundation of China)“基于生物形态特征的中国海常见有害赤潮藻显微图像识别(Automatic identification of Harmful Algal Blooms in Chinese coast areas by microscopic images based on biomorphic characteristics )”(批准号:61271406,研究期限:2013年01月至2016年12月),参与(第二位),本人经费/项目经费:30万元/85万元。
[4] 青岛市科技发展计划项目(Qingdao Municipal Science and Technology Development Program)“基于图像分析的垂测电离图自动判读研究(Automatic scaling of vertical sounding ionogram based on image analysis )”(批准号:13-1-4-223-jch,研究期限:2013年01月至2015年09月),主持,本人经费/项目经费:5万元/5万元。
[3] 中央高校基本科研业务费(Fundamental Research Funds for the Central Universities)“电离层垂直探测频高图自动解释及度量(Automatic interpretation and scaling of ionospheric vertical sounding ionogram )”(批准号:201313011,研究期限:2013年01月至2015年12月),主持,本人经费/项目经费:16万元/16万元。
[2] 电波环境特性及模化技术国防科技重点实验室开放课题“典型垂测电离图自动识别方法(Automatic identification of typical vertical sounding ionogram )”(研究期限:2013年06月至2015年05月),主持,本人经费/项目经费:10万元/10万元。
[1] 山东省自然科学基金项目(Shandong Provincial Natural Science Foundation)“基于生物形态学的有害赤潮藻显微图像自动识别研究(Automatic identification of Harmful Algal Blooms by microscopic images based on biological morphology )”(批准号:ZR2010DQ002,研究期限:2010年11月至2013年11月),主持,本人经费/项目经费:5万元/5万元。

论文专利

patent of the paper

发表的部分论文(*通讯作者):
[37] Haiyong Zheng, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. Automatic plankton image classification combining multiple view features via multiple kernel learning. International Conference on Bioinformatics (InCoB), 2017, Best Paper Award of BMC Track [Gold] (BMC Bioinformatics).
[36] Yan Wang, Na Li, Zongying Li, Zhaorui Gu, Haiyong Zheng*, Bing Zheng, Mengnan Sun. An imaging-inspired no-reference underwater color image quality assessment metric. Computers and Electrical Engineering, 2017, in press. (SCI)
[35] Mengnan Sun, Bing Zheng*, Bo Peng, Yan Wang, Haiyong Zheng. A target detectability assessment metric for the underwater electro-optic imaging system. Optics and Laser Technology, 2017, DOI: 10.1016/j.optlastec.2017.10.028. (SCI)
[34] Zhibin Yu, Yubo Wang, Bing Zheng*, Haiyong Zheng, Nan Wang, Zhaorui Gu. Underwater inherent optical properties estimation using a depth aided deep neural network. Computational Intelligence and Neuroscience, 2017, DOI: 10.1155/2017/8351232. (SCI)
[33] Nan Wang, Haiyong Zheng*, Bing Zheng. Underwater image restoration via maximum attenuation identification. IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2753796. (SCI)
[32] Nan Wang, Bing Zheng*, Haiyong Zheng, Zhibin Yu. Feeble object detection of underwater images through LSR with delay loop. Optics Express, 2017, DOI: 10.1364/OE.25.022490. (SCI)
[31] Tengda Wei, Linshan Wang, Ping Lin, Jialing Chen, Yangfan Wang*, Haiyong Zheng. Learning non-negativity constrained variation for image denoising and deblurring. Numerical Mathematics: Theory, Methods and Applications, 2017, DOI: 10.4208/nmtma.2017.m1653. (SCI)
[30] Haiyong Zheng*, Nan Wang, Zhibin Yu, Zhaorui Gu, Bing Zheng. Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species. IET Image Processing, 2017, DOI: 10.1049/iet-ipr.2017.0127. (SCI)
[29] Chao Wang, Zhibin Yu, Haiyong Zheng*, Nan Wang, Bing Zheng. CGAN-Plankton: Towards large-scale imbalanced class generation and fine-grained classification. IEEE International Conference on Image Processing (ICIP), 2017.
[28] Shanchen Jiang, Fengna Sun, Zhaorui Gu, Haiyong Zheng, Wang Nan, Zhibin Yu*. Underwater 3D reconstruction based on laser line scanning. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084737. (EI)
[27] Fengna Sun, Jia Yu, Zhaorui Gu*, Haiyong Zheng, Nan Wang, Bing Zheng. A practical system of fish size measurement. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084879. (EI)
[26] Li Ma, Min Fu*, Nan Wang, Haiyong Zheng, Zhibin Yu, Zhaorui Gu, Jia Yu, Bing Zheng, Xuefeng Liu. Simulation of stochastic resonance in underwater laser communication. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084775. (EI)
[25] 于芝涛, 姬婷婷, 程孝龙, 赵红苗, 姬光荣, 郑海永*. 基于自适应幅度谱分析的显著目标检测 (Salient Object Detection based on Adaptive Amplitude Spectrum Analysis). 中国海洋大学学报(自然科学版) (Periodical of Ocean University of China), 2017, DOI: 10.16441/j.cnki.hdxb.20150080.
[24] Bing Zheng, Nan Wang*, Haiyong Zheng, Zhibin Yu, Jinpeng Wang. Object extraction from underwater images through logical stochastic resonance. Optics Letters, 2016, DOI: 10.1364/OL.41.004967. (SCI)
[23] Jialun Dai, Zhibin Yu, Haiyong Zheng*, Bing Zheng, Nan Wang. A hybrid convolutional neural network for plankton classification. The 13th Asian Conference on Computer Vision (ACCV) Workshops, Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA), 2016, DOI: 10.1007/978-3-319-54526-4_8. (EI)
[22] Haiyong Zheng, Lin Chang, Tengda Wei, Xinxin Qiu, Ping Lin, Yangfan Wang*. Registering retinal vessel images from local to global via multiscale and multicycle features. The 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 7th International Workshop on Biomedical Image Registration (WBIR), 2016. (SCI)
[21] Xinxin Qiu, Ning Tang, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. Automatic segmentation of Chaetoceros microscopic images via pixel-wise classification. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485603. (EI)
[20] Ruchen Wang, Jialun Dai, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. Multi features combination for automated zooplankton classification. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485675. (EI)
[19] Jialun Dai, Ruchen Wang, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. ZooplanktoNet: Deep convolutional network for zooplankton classification. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485680. (EI)
[18] Zongying Li, Zhaorui Gu, Haiyong Zheng, Bing Zheng*, Jingpeng Liu. Underwater image sharpness assessment based on selective attenuation of color in the water. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485695. (EI)
[17] Yafei Zhu, Lin Chang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic object detection and segmentation from underwater images via saliency-based region merging. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485598. (EI)
[16] Zhaorui Gu, Ruchen Wang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic searching of fish from underwater images via shape matching. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485597. (EI)
[15] Hongkun Liu, Jialun Dai, Ruchen Wang, Haiyong Zheng*, Bing Zheng. Combining background subtraction and three-frame difference to detect moving object from underwater video. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485613. (EI)
[14] Lin Chang, Ruchen Wang, Haiyong Zheng*, Jialun Dai, Bing Zheng. Phytoplankton feature extraction from microscopic images based on SURF-PCA. OCEANS 2016 Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485699. (EI)
[13] Kun Yu, Guangrong Ji, Haiyong Zheng*. Automatic cell object extraction of red tide algae in microscopic images. Chinese Journal of Oceanology and Limnology, 2016, DOI: 10.1007/s00343-016-5324-6. (SCI)
[12] Xiaodong Wang, Jialun Dai, Yafei Zhu, Haiyong Zheng*, Xiaoyan Qiao. Spectral saliency via automatic adaptive amplitude spectrum analysis. Journal of Electronic Imaging, 2016, DOI: 10.1117/1.JEI.25.2.023020. (SCI)
[11] 于堃, 赵红苗, 姬光荣, 郑海永*. 结合显著性与GrabCut的无角毛类浮游植物显微图像分割 (Combining saliency with GrubCut for phytoplankton microscopic image segmentation of non-setae species). 中国海洋大学学报(自然科学版) (Periodical of Ocean University of China), 2016, DOI: 10.16441/j.cnki.hdxb.20140214.
[10] Haiyong Zheng*, Xue Sun, Bing Zheng, Rui Nian, Yangfan Wang. Underwater image segmentation via dark channel prior and multiscale hierarchical decomposition. OCEANS'15 MTS/IEEE Genova, 2015. (EI)
[9] Haiyong Zheng*, Hongmiao Zhao, Xue Sun, Huihui Gao, Guangrong Ji. Automatic setae segmentation from Chaetoceros microscopic images. Microscopy Research and Technique, 2014, DOI: 10.1002/jemt.22389. (SCI)
[8] Haiyong Zheng, Bin Wu, Tengda Wei, Linshan Wang, Yangfan Wang*. Global exponential robust stability of high-order Hopfield Neural Networks with s-type distributed time delays. Journal of Applied Mathematics, 2014, DOI: 10.1155/2014/705496. (SCI)
[7] Chen Feng*, Haiyong Zheng, Lijian Zhou, Junna Cheng. Detection performance analysis of recurrence quantification analysis measures for low observable target within sea clutter under different sea conditions. IET Radar, Sonar & Navigation, 2014, DOI: 10.1049/iet-rsn.2014.0144. (SCI)
[6] Haiyong Zheng*, Guangrong Ji, Guoyu Wang, Zhenwei Zhao, Shaohong He. Automatic scaling of F layer from ionograms based on image processing and analysis. Journal of Atmospheric and Solar-Terrestrial Physics, 2013, DOI: 10.1016/j.jastp.2013.09.007. (SCI)
[5] Jingjing Chu, Guangrong Ji, Haiyong Zheng*, Kun Yu, Hongguang Lu. Salient region detection for phytoplankton microscopic image. Proc. of SPIE Vol. 8878 ICDIP 2013, 88782Q, DOI: 10.1117/12.2030691. (EI)
[4] Hongguang Lu, Guangrong Ji, Haiyong Zheng*, Zhenwei Zhao, Shaohong He. Ionogram trace enhancement based on image pixel connectedness. Proc. of SPIE Vol. 8878 ICDIP 2013, 887809, DOI: 10.1117/12.2030690. (EI)
[3] Haiyong Zheng*, Bing Zheng, Guangrong Ji, Zhongwen Guo, Yuting Sun. Image enhancement of underwater target detection by inhomogeneous illumination. OCEANS'12 MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263374. (EI)
[2] Haiyong Zheng*, Guangrong Ji, Bing Zheng, Hao Zhang, Gulliver, T.A.. Harmful Algal Bloom recognition based on microscopic images. 2011 IEEE PacRim, Victoria, BC, 2011, DOI: 10.1109/PACRIM.2011.6033006. (EI)
[1] Haiyong Zheng*, Guangrong Ji, Bing Zheng. An approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and PDE. OCEANS'10 IEEE Sydney, 2010, DOI: 10.1109/OCEANSSYD.2010.5603529. (EI)

发明专利:
[7] 郑海永, 王超, 俞智斌, 戴嘉伦, 郑冰. 基于多特征融合卷积神经网络的浮游生物图像分类方法. 申请号: 201610912684.1. 申请日: 2016年10月20日.
[6] 王楠, 郑海永, 郑冰, 徐建康, 宋晓辉, 杜辉, 王晓宇. 基于逻辑随机共振的浑浊水质成像目标检测系统及方法. 申请号: 201610913278.7. 申请日: 2016年10月20日.
[5] 郑海永, 朱亚菲, 赵红苗, 姬光荣. 一种基于幅度谱分析的显著目标检测方法. 申请号: 201510271210.9. 申请日: 2015年05月25日.
[4] 郑海永, 孙晓庆, 卢红光, 何绍红, 姬光荣. 一种基于图像处理的垂测电离图E区描迹自动判读方法. 申请号: 201510271515.X. 申请日: 2015年05月25日.
[3] 郑海永, 姬光荣, 王国宇, 于志刚, 米铁柱. 一种基于显微图像的角毛藻和非角毛藻自动分类方法. 申请号: 201210105858.5. 申请日: 2012年04月12日.
[2] 姬光荣, 郑海永, 张浩, 王国宇, 于志刚. 一种角毛藻显微图像细胞目标提取方法. 专利号: ZL 201010115606.1. 授权公告日: 2012年01月04日.
[1] 姬光荣, 郑海永, 张浩, 王国宇, 于志刚. 一种无角毛类赤潮藻显微图像细胞目标提取方法. 申请号: 201010115592.3. 申请日: 2010年03月02日.

学位论文:
[10] 戴嘉伦(Jialun Dai). 基于多特征卷积神经网络的浮游生物图像分类研究(A Hybrid Convolutional Neural Network for Plankton Image Classification). 2017年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[9] 王如晨(Ruchen Wang). 基于多核学习的浮游生物图像分类研究(Plankton Image Classification based on Multiple Kernel Learning). 2017年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[8] 赵海伟(Haiwei Zhao). 基于持续集成的UEFI BIOS自动化测试系统的设计与实现(Design and Implementation of UEFI BIOS Automated Test System based on Continuous Integration). 2017年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[7] 武斌(Bin Wu). 基于Spring MVC架构WEB应用系统优化研究(Research on Web Application System Optimization based on Spring MVC Architecture). 2017年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[6] 朱亚菲(Yafei Zhu). 基于多特征多分类器组合的海洋浮游动物图像分类研究(Marine Zooplankton Image Classification based on Combination of Multiple Features and Multiple Classifiers). 2016年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[5] 邱欣欣(Xinxin Qiu). 基于环结构特征的视网膜血管图像配准算法研究(Retinal Vessel Images Registration Algorithm via Cycle Structure). 2016年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[4] 孙晓庆(Xiaoqing Sun). 基于图像处理的垂测电离图 E 区描迹自动判读方法(Automatic Traces Scaling of E Region from Ionograms based on Image Processing). 2016年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[3] 赵红苗(Hongmiao Zhao). 图像频域显著性检测(Image Saliecy Detection in Frequency Domain). 2015年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[2] 孙雪(Xue Sun). 图像中环结构特征及其应用(Cycle Structure Feature in Image and its Applications). 2015年6月, 中国海洋大学硕士学位论文(MS Thesis of Ocean University of China).
[1] 郑海永(Haiyong Zheng). 基于生物形态学的有害赤潮显微图像诊断研究(Researches on Microscopic Image Diagnosis of Harmful Algal Blooms Based on Biological Morphology). 2009年6月, 中国海洋大学博士学位论文(PhD Thesis of Ocean University of China).

研究生招生条件

postgraduate admissions conditions

求知、执着、激情、追求

备注

remarks

http://vision.ouc.edu.cn/~zhenghaiyong