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% (c) 2014-2019 Haiyong Zheng <zhenghaiyong@ouc.edu.cn> 
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\begin{tabular*}{7.5in}{l@{\extracolsep{\fill}}r}
  {\Large\hei 郑海永} \hspace{1em} {\large\hei 博士，教授} \hspace{14em} 最后更新：\cntoday & \multirow{5}{*}{\includegraphics[width=2cm]{HaiyongZheng.png}}\\
  \ding{80}~性别：男~~\hspace{6.6em}~~出生年月：1982年8月 & \\
  \ding{38}~+86 18661867997~~\hspace{4em}~~籍贯：\href{http://zh.wikipedia.org/zh/临朐县}{山东临朐} & \\
  \ding{41}~\href{mailto:zhenghaiyong@ouc.edu.cn}{zhenghaiyong\MVAt ouc.edu.cn}~~~~|~~~~\href{mailto:zhenghaiyong@gmail.com}{zhenghaiyong\MVAt gmail.com} & \\
  \ding{39}~\href{http://ouc.ai/zhenghaiyong}{ouc.ai}~~~~|~~~~\href{http://vision.ouc.edu.cn/zhenghaiyong}{vision.ouc.edu.cn} & \\
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\section{\hei 个人简介}
\subsection{教学}
主要负责“程序设计”专业核心课程群建设，自主开发“中国海洋大学在线程序评测平台”，开展任务驱动的混合课程教学改革，推行全过程多元化学生学习评价机制，改革实验课程学生考核评价体系及实验室管理制度，打造全新的智能化、网络化、自主化实践实验教学模式，引导激发学生学习潜能，得到学生好评并“意犹未尽”。主持山东省本科高校教学改革研究项目1项、山东省研究生教育质量提升计划建设项目2项，发表教学论文2篇，负责山东省一流本科课程“高级语言程序设计”和山东省一流本科专业建设点“电子信息科学与技术”。

\subsection{科研}
组建微纳感知与信息智能科研团队，聚焦智能信息感知与处理研究，在视觉合成、视频分析、水下视觉清晰化、海洋生物识别等方面取得系列成果，主持包括国家自然科学基金在内的科研项目10余项，发表包括计算机视觉顶级期刊TPAMI、IJCV和三大顶级会议CVPR、ICCV、ECCV以及多媒体顶级会议ACM MM在内的学术论文80余篇，授权国家发明专利10多项。

\subsection{学术}
担任IEEE Journal of Oceanic Engineering、Intelligent Marine Technology and Systems和IEEE Access期刊编委，IEEE海洋工程学协会水下光学与视觉技术委员会主席（2023-2024），中国图象图形学学会青年工作委员会委员、执行委员，山东电子学会理事会理事，北太平洋海洋科学组织PICES工作组WG-48成员，VALSE首批常务领域主席等；IEEE Senior Member，CSIG高级会员。

\subsection{获奖}
荣获生物信息学国际权威会议InCoB 2017最佳论文奖、山东省省级教学成果奖、山东省优秀硕士学位论文指导奖，以及中国海洋大学本科教学优秀奖、天泰优秀人才奖、东升课程教学卓越奖、五四青年奖等，入选山东省泰山学者青年专家。

%近年来主要开展计算机视觉与机器学习中的显著性检测（Saliency Detection）、目标检测（Object Detection）、特征提取（Feature Extraction）、特征学习（Feature Learning）、目标识别（Object Recognition）、图像分类（Image Classification）等相关研究。
%\begin{itemize}
%\item \textbf{海洋浮游生物图像分析与识别}：海洋浮游生物的分析与识别对于海洋生态系统、环境监测和海洋渔业生产等多方面意义重大。传统人工监测手段存在样品分析空间分辨率低、易受破坏、时效性差等问题。原位光学成像可现场实时采集具有较高时空分辨率且满足人眼视觉观测要求的浮游生物图像，且目前有不少系统已长期连续采集了海量浮游生物图像数据。因此，海洋浮游生物图像分析与识别成为海洋生态监测（尤其赤潮监测）的关键。
%在该研究方向上，主持了国家自然科学基金项目“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”（编号：61301240）和“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”（编号：61771440）、山东省自然科学基金项目“基于生物形态学的有害赤潮藻显微图像自动识别研究”（编号：ZR2010DQ002），作为主要研究人员（第二位）参与了国家自然科学基金项目“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”（编号：61271406）等，在视觉注意机制、生物形态分类、浮游生物图像数据集及分析识别等方面取得了一定的研究成果。其中，作为第一作者在生物信息学国际权威会议International Conference on Bioinformatics（InCoB）2017发表题为“Automatic plankton image classification combining multiple view features via multiple kernel learning”的学术论文，该项工作得到了审稿人和组委会的高度认可，并被认为该领域研究的一个里程碑（“a mile‐stone of the plankton classification problem”），因此荣获了InCoB 2017最佳论文金奖并被收录到中科院JCR二区期刊BMC Bioinformatics。另外，作为第一发明人申请发明专利2项，分别题为“一种基于幅度谱分析的显著目标检测方法”和“基于多特征融合卷积神经网络的浮游生物图像分类方法”。
%\item \textbf{浮游生物显微图像分析与识别}：依托国家自然科学基金“中国海常见浮游植物种类细胞图像识别”和863课题“有害赤潮生物诊断系统技术研究”，设计并实现了“中国海常见浮游植物及有害赤潮显微图像数据库”和“赤潮藻显微图像识别系统”；结合海洋生物学家藻种分类知识，综合运用图像分析与模式识别技术，进行海洋浮游植物显微图像分析与识别研究，有望实现浮游植物尤其赤潮生物优势藻种快速、有效地鉴定，再结合现场原位实时显微图像采集系统便可实现藻类尤其赤潮实时监测，具有非常重要的科学意义和应用前景。
%目前主持国家自然科学基金项目“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”（批准号：61301240）和作为骨干（第二位）参与国家自然科学基金项目“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”（批准号：61271406）。相关研究已申请国家发明专利3项、软件著作权2项。
%\item \textbf{水下目标视觉信息获取与处理}：水下目标视觉探测技术因其能够提供更高的空间分辨率和更直观的图像信息，对于海洋资源开发、生物多样性等方面的原位观测与监测，具有重要的研究意义和应用前景。然而，由于水体本身具有高吸收、强散射等特点，使得水下视觉探测难度远高于大气视觉探测。尤其在我国近海海域及河流中，受到泥沙及其他悬浮粒子的干扰，水质更加浑浊。因此，如何抑制散射、提高能量能见度和衬度能见度是水下视觉信息获取的核心，如何复原水下图像、提高低信噪比水下图像中目标检测能力是水下视觉信息处理的关键。
%在该研究方向上，主持了中央高校基本科研业务费专项项目“海洋浮游动物原位探测与分析系统”（编号：201562023），作为主要研究人员（第二位）参与了国家自然科学基金项目“海洋中小型浮游生物原位光学观测关键技术研究”（编号：41776113）和“基于逻辑随机共振理论的水下视觉目标检测方法研究”（编号：61703381）等，在水下图像复原和水下视觉弱目标检测等方面取得了一定的研究成果，并与美国Scripps海洋研究所海洋物理学家Jules Jaffe开展了海洋光学及原位探测合作研究，研制了海洋浮游生物原位探测系统，相关研究成果处于国际先进水平。其中，作为通讯作者在中科院JCR二区期刊IEEE Access发表学术论文“Underwater image restoration via maximum attenuation identification”；作为合作作者在中科院JCR分区Top期刊“Optics Letters”和“Optics Express”关于逻辑随机共振水下弱目标检测研究的学术论文（分别题为“Object extraction from underwater images through logical stochastic resonance”和“Feeble object detection of underwater images through LSR with delay loop”）一经发表就受到国内外相关研究者关注，并被Yahoo!Xtra、Phys.org、Digital Journal、ITbriefing、Market Watch等多家科研网站及媒体报道。
%\item \textbf{垂直探测电离图自动解译与度量}：作为“太阳活动的反光镜”和“大气扰动的放大镜”，电离层研究具有极其重要的学术意义和社会经济价值。针对目前电离图人工度量费时、费力等问题，基于中国电波传播研究所自主研制电离层垂测仪，将其记录探测数据转换为频高图灰度图像，根据电离层反射回波信号特点并结合电离层分层结构特征，运用图像处理与分析技术，通过“去噪—分层—判识—提取—度量”完成电离层参数自动解译及度量，以期实现长期稳定实时电离层监测，可为电离层及其相关研究奠定基础。
%\end{itemize}

\section{\hei 教育背景}

\begin{itemize}
\item
  \ressubheading{中国海洋大学}{青岛，中国}{博士，海洋信息探测与处理~专业，导师：姬光荣~教授}{2004年9月 - 2009年6月}
\item
  \ressubheading{中国海洋大学}{青岛，中国}{本科，电子信息工程~专业，工学学士学位}{2000年9月 - 2004年6月}
\end{itemize}

\section{\hei 工作经历}

\begin{itemize}
\item
  \ressubheading{中国海洋大学}{青岛，中国}{教授，信息科学与工程学院电子工程系}{2020年1月 - 至今}
\item
  \ressubheading{英国邓迪大学}{邓迪，英国}{访问学者，科学与工程学院数学系}{2018年8月 - 2019年8月}
\item
  \ressubheading{中国海洋大学}{青岛，中国}{副教授，信息科学与工程学院电子工程系}{2014年12月 - 2019年12月}
\item
  \ressubheading{中国海洋大学}{青岛，中国}{讲师，信息科学与工程学院电子工程系}{2009年7月 - 2014年11月}
\end{itemize}

\section{\hei 学术服务}

\begin{itemize}
\item {\hei 学术兼职}: IEEE Journal of Oceanic Engineering编委（Associate Editor），Intelligent Marine Technology and Systems编委（Associate Editor），IEEE Access编委（Associate Editor）；IEEE Senior Member，CSIG高级会员；IEEE海洋工程学协会水下光学与视觉技术委员会主席（2023-2024）；中国图象图形学学会青年工作委员会委员、执行委员；山东电子学会理事会理事；北太平洋海洋科学组织PICES工作组WG-48（WGISMP）成员；VALSE首批常务领域主席（LACC）、首届在线理事会理事（VODB）；ISAIR首届指导委员会委员。
\item {\hei 客座编辑}: Deep Learning for Marine Science, Volume II, Frontiers in Marine Science, 2023; Deep Learning for Marine Science, Frontiers in Marine Science, 2022; Advanced Machine Learning Methodologies for Underwater Image and Video Processing and Analysis, IEEE Journal of Oceanic Engineering, 2021.
\item {\hei 特邀报告}: 水下视觉：“未见其人，先闻其声”， 中国模式识别与计算机视觉大会（PRCV）专题论坛：蓝色经济下的海洋环境感知与理解 ，中国深圳，2022；Image Harmonization Methods and Applications, Wireless Silk Road International Lecture Series, Virtual, 2022; Image-to-Image Translation: Advances and Trends, International Symposium on Artificial Intelligence and Robotics (ISAIR), Daegu, Korea, 2019; Underwater Vision from Optics and Imaging to Vision and Learning, Vision And Learning SEminar (VALSE), Xiamen, China, 2017.
\item {\hei 期刊审稿}: IEEE TPAMI, TNNLS, TII, TSMC, TMI, TCSVT, TAI, JOE, Access, SPL, GRSL; IEEE/ACM TCBB; ACM CSUR; Elsevier FGCS, KNOSYS, P\&RS AESCTE, PR, PRLETTERS, NEUCOM, CVIU, JVCI, JOLT, COMPELECENG, FISH, ASOC, OPT COMMUN, ECOINF; SPIE JEI, JARS, OE; Springer MONE, COE, MTAP, NCA, WINE; Wiley LOM, MRT, CCPE; CLP COL; Nature SREP; Hindawi CIN; $\cdots$
\item {\hei 会议审稿}: CVPR (2019-), ICCV (2019-), ECCV (2020-), ICML (2023-), NeurIPS (2022-), ICLR (2022-), AAAI (2020-), ACM MM (2021-), MICCAI (2022-), WACV (2021-), OCEANS (2016-).
\end{itemize}

\section{\hei 获奖荣誉}
\begin{itemize}
\item 2024年，山东省一流本科课程“高级语言程序设计”负责人。
\item 2023年，山东省泰山学者青年专家（2022）。
\item 2023年，中国图象图形学会（CSIG）高级会员。
\item 2022年，IEEE Senior Member。
\item 2020年，山东省优秀硕士学位论文指导奖。
\item 2020年，中国海洋大学第二十届“五四青年奖”。
\item 2020年，中国海洋大学第九届本科教学优秀奖三等奖。
\item 2019年，中国海洋大学第二十一届“天泰优秀人才奖”二等奖。
\item 2018年，“卓越计划”背景下电子信息类人才培养模式的构建与实践，山东省第八届高等教育教学成果奖二等奖（第二位）。
\item 2018年，中国海洋大学第四届“东升课程教学卓越奖”二等奖。
\item 2017年，“卓越工程师”背景下电子信息类人才培养模式的构建与实践，中国海洋大学第十届校级优秀教学成果奖二等奖（第二位）。
\item 2017年，“Automatic plankton image classification combining multiple view features via multiple kernel learning”，第十六届国际生物信息学会议InCoB 2017最佳论文奖（第一作者）。
\item 2016年，中国海洋大学2016届本科生毕业论文（设计）优秀指导教师。
\item 2013年，中国海洋大学优秀教师。
\end{itemize}

\section{\hei 科研项目}
\subsection{图像翻译与水下视觉}
\begin{itemize}
\item
  \ressubheading{受限场景下自监督图像翻译方法及其水下视觉应用研究}{国家自然科学基金（{\bf 负责人}）}{批准号：62171421 项目直接费用：57万元}{研究期限：2022年01月 - 2025年12月}
\end{itemize}
\subsection{海洋浮游生物图像分析与识别}
\begin{itemize}
\item
  \ressubheading{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}{国家自然科学基金（{\bf 负责人}）}{批准号：61771440 项目直接费用：67万元}{研究期限：2018年01月 - 2021年12月}
\item
  \ressubheading{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}{青岛市科技计划源头创新计划（{\bf 负责人}）}{批准号：17-1-1-5-jch 项目经费：10万元}{研究期限：2017年03月 - 2019年03月}
\item
  \ressubheading{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}{国家自然科学基金（{\bf 负责人}）}{批准号：61301240 项目经费：26万元}{研究期限：2014年01月 - 2016年12月}
%  \begin{itemize}
%    \resitem{依据藻细胞的生物形态特征通过人工镜检进行分类和计数是目前公认的藻类监测方法。然而，该方法存在专业水平高、分类人员断层、耗时费力等问题而无法应用于大量样品和现场及原位实时快速分析。而目前国内外基于计算机视觉的藻细胞显微图像分析研究存在藻种类别及数据集单一化且难以有效检测和分割细胞目标、提取表示细节特征等难题。}
%    \resitem{针对大量类别形态各异海洋浮游植物显微图像，结合形状、大小、纹理以及角毛、横纵 沟、尖顶刺等生物形态分类视觉特征，构建自底向上与自顶向下相结合的视觉注意计算模型检测并提取藻种细胞显著性区域，基于视觉层次感知机制实现藻种细胞目标识别和分类计数。}
%    \resitem{结合海洋生物学家的藻种分类知识进行视觉注意建模，模拟藻类专家人工镜检的视觉感知过程，可能成为浮游植物图像分析的一种有效方法，有望实现浮游植物藻种快速、有效地鉴定，为藻类现场及原位实时监测奠定基础。}
%  \end{itemize}
\item
  \ressubheading{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}{国家自然科学基金（第二位）}{批准号：61271406 本人经费：30万元}{研究期限：2013年01月 - 2016年12月}
%  \begin{itemize}
%    \resitem{中国海常见有害赤潮藻的自动识别对我国海洋生态系统、环境监测和海洋渔业生产等多方面具有重要的科学和现实意义。传统的赤潮藻鉴定主要依赖经验丰富的藻类专家依据种的生物形态学特征在显微镜下通过人工目视判读、分类，该方法存在专业水平高、分类人员断层、耗时费力等问题。而目前国内外基于计算机视觉的藻细胞显微图像自动识别研究存在难以有效地分割图像目标、提取表示特征等问题。}
%    \resitem{针对41种中国海常见有害赤潮藻，提出依据藻种的角毛、横纵沟、尖顶刺等生物形态特征建立藻种表示特征集合；根据生物学分类方法建立分类器，实现中国海常见有害赤潮藻的自动分类。}
%    \resitem{结合海洋生物学家的藻种分类知识，综合运用图像处理、分析、模式识别技术，建立赤潮藻自动识别系统，有望实现赤潮生物优势藻种快速、有效的鉴定与检测，为赤潮现场监测系统的研究奠定基础。}
%  \end{itemize}
\item
  \ressubheading{基于生物形态学的有害赤潮藻显微图像自动识别研究}{山东省自然科学基金（{\bf 负责人}）}{批准号：ZR2010DQ002 项目经费：5万元}{研究期限：2010年11月 - 2013年11月}
%  \begin{itemize}
%    \resitem{中国海常见有害赤潮藻的自动识别对我国海洋生态系统、环境监测和海洋渔业生产等多方面具有科学和现实意义。传统的赤潮藻鉴定主要依赖经验丰富的藻类专家依据种的生物形态学特征在显微镜下通过人工目视判读、分类，该方法目前存在专业水平高、分类人员断层、耗时等问题。}
%    \resitem{针对我国沿海常见有害赤潮藻，采集藻种不同生长时期、不同角度的多视点图像，建立中国海常见有害赤潮藻显微图像数据库；}
%    \resitem{以传统的生物形态学分类为依据，利用图像分析、统计学习和模式识别技术，研究赤潮藻种显微图像细胞目标提取及分割，提取细胞多视点综合表示特征，建立赤潮藻显微图像自动识别系统。}
%    \resitem{该项研究将更新目前的海洋赤潮监测、调查方法；同时将发展对大量类别、每一种类别目标又是多视点、多形态的识别方法的研究。}
%  \end{itemize}
\end{itemize}
\subsection{水下目标视觉信息获取与处理}
\begin{itemize}
\item
  \ressubheading{海洋中小型浮游生物原位光学观测关键技术研究}{国家自然科学基金（第二位）}{批准号：41776113 项目直接费用：70万元}{研究期限：2018年01月 - 2021年12月}
\item
  \ressubheading{基于逻辑随机共振理论的水下视觉目标检测方法研究}{国家自然科学基金（第二位）}{批准号：61703381 项目直接费用：25万元}{研究期限：2018年01月 - 2020年12月}
\item
  \ressubheading{海洋浮游动物原位探测与分析系统}{中央高校基本科研业务费（{\bf 负责人}）}{批准号：201562023 项目经费：95万元}{研究期限：2015年11月 - 2017年12月}
\end{itemize}
\subsection{垂直探测电离图自动解译与度量}
\begin{itemize}
\item
  \ressubheading{基于图像分析的垂测电离图自动判读研究}{青岛市科技计划基础研究项目（{\bf 负责人}）}{批准号：13-1-4-223-jch 项目经费：5万元}{研究期限：2013年01月 - 2015年09月}
\item
  \ressubheading{电离层垂直探测频高图自动解释及度量}{中央高校基本科研业务费（{\bf 负责人}）}{批准号：201313011 项目经费：16万元}{研究期限：2013年01月 - 2015年12月}
\item
  \ressubheading{典型垂测电离图自动识别方法}{电波环境特性及模化技术国防科技重点实验室开放课题（{\bf 负责人}）}{编号：20140106 项目经费：10万元}{研究期限：2013年06月 - 2015年05月}
\end{itemize}

\section{\hei 主要论著}
%\zhysubheading{电子印本}
%（* 通讯作者）
%
%\begin{thebibliography}{99}
%\end{thebibliography}

\zhysubheading{期刊论文}
（* 通讯作者 / \# 同等贡献）

\begin{thebibliography}{99}
\bibitem{shi2024oceanvpCN}
  Zhensheng Shi, Haiyong Zheng*, Junyu Dong*. \emph{OceanVP: A HYCOM based Benchmark Dataset and A Relational Spatiotemporal Predictive Network for Oceanic Variable Prediction}. Ocean Engineering, 2024, DOI: 10.1016/j.oceaneng.2024.117748.

\bibitem{si2024duetCN}
  Guangzhe Si, Zhaorui Gu, Haiyong Zheng*. \emph{Duet of ViT and CNN: multi-scale dual-branch network for fine-grained image classification of marine organisms}. Intelligent Marine Technology and Systems, 2024, DOI: 10.1007/s44295-023-00019-8.

\bibitem{liu2024ensembleCN}
  刘英杰, 黄嘉琦, 姜玉凤, 邵宇琪, 杨文韬, 于紫凝, 郑海永*. \emph{融合电磁和地声特征的地震预测集成学习方法}. 计算机技术与发展, 2024.

\bibitem{li2023multidomainCN}
  Lin Li, \textbf{Haiyong Zheng*}. \emph{Multidomain Transfer Ensemble Learning for Wireless Fingerprinting Localization}. IEEE Internet of Things Journal, 2023, DOI: 10.1109/JIOT.2023.3330736.

\bibitem{bi2023tamingCN}
  Hongsheng Bi*, Yunhao Cheng, Xuemin Cheng, Mark C. Benfield, David G. Kimmel, \textbf{Haiyong Zheng}, Sabrina Groves, Kezhen Ying. \emph{Taming the data deluge: a novel end-to-end deep learning system for classifying marine biological and environmental images}. Limnology and Oceanography: Methods, 2023, DOI: 10.1002/lom3.10591.

\bibitem{li2023quantumCN}
  Yanan Li\#, Zhimin Wang\#*, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, \textbf{Haiyong Zheng}, Guoqiang Zhong, Yongjian Gu*. \emph{Quantum recurrent neural networks for sequential learning}. Neural Networks, 2023, DOI: 10.1016/j.neunet.2023.07.003.

\bibitem{gu2023underwaterCN}
  Zhaorui Gu, Xiuhan Liu, Zhiqiang Hu, Guoyu Wang, Bing Zheng, John Watson, \textbf{Haiyong Zheng*}. \emph{Underwater computational imaging: a survey}. Intelligent Marine Technology and Systems, 2023, DOI: 10.1007/s44295-023-00009-w.

\bibitem{guo2023unifiedCN}
  郭冬升, 顾肇瑞, 郑冰, 董军宇, \textbf{郑海永*}. \emph{面向图像内补与外推问题的迭代预测统一框架}. 中国图象图形学报, 2023, DOI: 10.11834/jig.230144.

\bibitem{qi2022sguieCN}
  Qi Qi, Kunqian Li*, \textbf{Haiyong Zheng}, Xiang Gao, Guojia Hou, Kun Sun. \emph{SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception}. IEEE Transactions on Image Processing, 2022, DOI: 10.1109/TIP.2022.3216208.

\bibitem{guo2022transformerCN}
  Zonghui Guo, Zhaorui Gu, Bing Zheng, Junyu Dong, \textbf{Haiyong Zheng*}. \emph{Transformer for Image Harmonization and Beyond}. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, DOI: 10.1109/TPAMI.2022.3207091.

\bibitem{li2022deepCN}
  Juan Li, Wenkai Xu, Limiao Deng, Ying Xiao, Zhongzhi Han, \textbf{Haiyong Zheng*}. \emph{Deep learning for visual recognition and detection of aquatic animals: A review}. Reviews in Aquaculture, 2022, DOI: 10.1111/raq.12726.

\bibitem{shi2022detectingCN}
  Zhensheng Shi\#, Cheng Guan\#, Qianqian Li\#, Ju Liang, Liangjie Cao, \textbf{Haiyong Zheng*}, Zhaorui Gu*, Bing Zheng. \emph{Detecting Marine Organisms via Joint Attention-Relation Learning for Marine Video Surveillance}. IEEE Journal of Oceanic Engineering, 2022, DOI: 10.1109/JOE.2022.3162864.

\bibitem{nawaz2022temporalCN}
  Hafiza Sadia Nawaz, Zhensheng Shi, Yanhai Gan, Amanuel Hirpa, Junyu Dong*, \textbf{Haiyong Zheng}. \emph{Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora}. IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3162650.

\bibitem{liu2022disentanglingCN}
  Peng Liu\#, Yueyue Wang\#, Angang Du, Liqiang Zhang, Bin Wei, Zhaorui Gu*, Xiaodong Wang*, \textbf{Haiyong Zheng}, Juan Li. \emph{Disentangling Latent Space Better for Few-Shot Image-to-Image Translation}. International Journal of Machine Learning and Cybernetics, 2022, DOI: 10.1007/s13042-022-01552-4.

\bibitem{liu2022multiCN}
  Peng Liu\#*, Chufeng Zhang\#, Hao Qi, Guoyu Wang, \textbf{Haiyong Zheng*}. \emph{Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems}. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3145815.

\bibitem{zhao2021synthesisCN}
  Qi Zhao\#, Ziqiang Zheng\#, Huimin Zeng, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction}. Frontiers in Marine Science, 2021, DOI: 10.3389/fmars.2021.690962.

\bibitem{zheng2021generativeCN}
  Ziqiang Zheng, Zhibin Yu, Yang Wu, \textbf{Haiyong Zheng*}, Bing Zheng, Minho Lee*. \emph{Generative adversarial network with multi-branch discriminator for imbalanced cross-species image-to-image translation}. Neural Networks, 2021, DOI: 10.1016/j.neunet.2021.04.013.

\bibitem{zheng2021oneCN}
  Ziqiang Zheng, Zhibin Yu, \textbf{Haiyong Zheng}, Yang Yang*, Heng Tao Shen. \emph{One-shot image-to-image translation via part-global learning with a multi-adversarial framework}. IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3053775.

\bibitem{shi2020learningCN}
  Zhensheng Shi\#, Liangjie Cao\#, Cheng Guan, \textbf{Haiyong Zheng*}, Zhaorui Gu*, Zhibin Yu, Bing Zheng. \emph{Learning attention-enhanced spatiotemporal representation for action recognition}. IEEE Access, 2020, DOI: 10.1109/ACCESS.2020.2968024.

\bibitem{wang2019discriminativeCN}
  Chao Wang\#, Wenjie Niu\#, Yufeng Jiang\#, \textbf{Haiyong Zheng*}, Zhibin Yu*, Zhaorui Gu, Bing Zheng. \emph{Discriminative region proposal adversarial network for high-quality image-to-image translation}. International Journal of Computer Vision, 2019, DOI: 10.1007/s11263-019-01273-2.

\bibitem{zhao2019fineCN}
  Yan Zhao, Ziqiang Zheng, Chao Wang, Zhaorui Gu, Min Fu, Zhibin Yu*, \textbf{Haiyong Zheng}, Nan Wang, Bing Zheng. \emph{Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework}. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-08346-x.

\bibitem{liu2019underwaterCN}
  Peng Liu, Guoyu Wang, Hao Qi, Chufeng Zhang, \textbf{Haiyong Zheng}, Zhibin Yu*. \emph{Underwater image enhancement with a deep residual framework}. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2928976.

\bibitem{yu2019videoCN}
  Jia Yu, Xuewen Yang, Nan Wang*, Gavin Tilstone, Elaine Fileman, \textbf{Haiyong Zheng}, Zhibin Yu. \emph{Video-based real time analysis of plankton particle size spectrum}. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2914727.

\bibitem{zhang2019learningCN}
  Haoxu Zhang, Chenchen Qiu, Chao Wang, Bin Wei, Zhibin Yu, \textbf{Haiyong Zheng*}, Juan Li*. \emph{Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation}. Concurrency and Computation: Practice and Experience, 2019, DOI: 10.1002/cpe.5430.

\bibitem{ding2019kaensembleCN}
  Hao Ding, Bin Wei*, Zhaorui Gu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Juan Li. \emph{KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling}. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-07856-y.

\bibitem{zheng2019unpairedCN}
  Ziqiang Zheng, Chao Wang, Zhibin Yu, Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Unpaired photo-to-caricature translation on faces in the wild}. Neurocomputing, 2019, DOI: 10.1016/j.neucom.2019.04.032. [arXiv preprint arXiv:1711.10735]

\bibitem{wang2018visionCN}
  Nan Wang, Jia Yu, Biao Yang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Vision-based in situ monitoring of plankton size spectra via a convolutional neural network}. IEEE Journal of Oceanic Engineering, 2018, DOI: 10.1109/JOE.2018.2881387.

\bibitem{qiu2018improvingCN}
  Chenchen Qiu, Shaoyong Zhang, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Improving transfer learning and squeeze-and-excitation networks for small-scale fine-grained fish image classification}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2885055.

\bibitem{sun2018underwaterCN}
  Mengnan Sun, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*, John Watson. \emph{Underwater wide-area layered light field for underwater detection}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2877591.

\bibitem{zhang2018depthCN}
  Shaoyong Zhang, Na Li, Chenchen Qiu, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Depth map prediction from a single image with generative adversarial nets}. Multimedia Tools and Applications, 2018, DOI: 10.1007/s11042-018-6694-x.

\bibitem{li2018synthesisCN}
  Na Li, Ziqiang Zheng, Shaoyong Zhang, Zhibin Yu*, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{The synthesis of unpaired underwater images using a multistyle generative adversarial network}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2870854.

\bibitem{tang2018unsupervisedCN}
  Ning Tang, Fei Zhou, Zhaorui Gu, \textbf{Haiyong Zheng*}, Zhibin Yu, Bing Zheng. \emph{Unsupervised pixel-wise classification for Chaetoceros image segmentation}. Neurocomputing, 2018, DOI: 10.1016/j.neucom.2018.08.064.

\bibitem{zheng2018instanceCN}
  Ziqiang Zheng, Chao Wang, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Instance map based image synthesis with a denoising generative adversarial network}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2849108. [arXiv preprint arXiv:1801.03252]

\bibitem{lu2018multiscaleCN}
  Jingyu Lu, Na Li, Shaoyong Zhang, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Multi-scale adversarial network for underwater image restoration}. Optics and Laser Technology, 2018, DOI: 10.1016/j.optlastec.2018.05.048.

\bibitem{wang2018whenCN}
  Nan Wang*, Bing Zheng, \textbf{Haiyong Zheng}, Biao Yang. \emph{When underwater degraded images meet logical stochastic resonance}. Nonlinear Dynamics, 2018, DOI: 10.1007/s11071-018-4359-y.

\bibitem{zheng2017automaticBMCCN}
  \textbf{Haiyong Zheng}, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. \emph{Automatic plankton image classification combining multiple view features via multiple kernel learning}. BMC Bioinformatics, 2017, DOI: 10.1186/s12859-017-1954-8.

\bibitem{wang2017imagingCN}
  Yan Wang, Na Li, Zongying Li, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng, Mengnan Sun. \emph{An imaging-inspired no-reference underwater color image quality assessment metric}. Computers and Electrical Engineering, 2017, DOI: 10.1016/j.compeleceng.2017.12.006.

\bibitem{sun2017targetCN}
  Mengnan Sun, Bing Zheng*, Bo Peng, Yan Wang, \textbf{Haiyong Zheng}. \emph{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.

\bibitem{yu2017underwaterCN}
  Zhibin Yu, Yubo Wang, Bing Zheng*, \textbf{Haiyong Zheng}, Nan Wang, Zhaorui Gu. \emph{Underwater inherent optical properties estimation using a depth aided deep neural network}. Computational Intelligence and Neuroscience, 2017, DOI: 10.1155/2017/8351232.

\bibitem{wang2017underwaterCN}
  Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Underwater image restoration via maximum attenuation identification}. IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2753796.

\bibitem{wang2017feebleCN}
  Nan Wang, Bing Zheng*, \textbf{Haiyong Zheng}, Zhibin Yu. \emph{Feeble object detection of underwater images through LSR with delay loop}. Optics Express, 2017, DOI: 10.1364/OE.25.022490.

\bibitem{wei2017learningCN}
  Tengda Wei, Linshan Wang, Ping Lin, Jialing Chen, Yangfan Wang*, \textbf{Haiyong Zheng}. \emph{Learning non-negativity constrained variation for image denoising and deblurring}. Numerical Mathematics: Theory, Methods and Applications, 2017, DOI: 10.4208/nmtma.2017.m1653.

\bibitem{zheng2017robustCN}
  \textbf{Haiyong Zheng*}, Nan Wang, Zhibin Yu, Zhaorui Gu, Bing Zheng. \emph{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.

\bibitem{yu2017salientCN}
  于芝涛, 姬婷婷, 程孝龙, 赵红苗, 姬光荣, \textbf{郑海永*}. \emph{基于自适应幅度谱分析的显著目标检测}. 中国海洋大学学报(自然科学版), 2017, DOI: 10.16441/j.cnki.hdxb.20150080.

\bibitem{zheng2016objectCN}
  Bing Zheng, Nan Wang*, \textbf{Haiyong Zheng}, Zhibin Yu, Jinpeng Wang. \emph{Object extraction from underwater images through logical stochastic resonance}. Optics Letters, 2016, DOI: 10.1364/OL.41.004967.

\bibitem{wang2016spectralCN}
  Xiaodong Wang, Jialun Dai, Yafei Zhu, \textbf{Haiyong Zheng*}, Xiaoyan Qiao. \emph{Spectral saliency via automatic adaptive amplitude spectrum analysis}. Journal of Electronic Imaging, 2016, DOI: 10.1117/1.JEI.25.2.023020.

\bibitem{yu2016automaticCN}
  Kun Yu, Guangrong Ji, \textbf{Haiyong Zheng*}. \emph{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.

\bibitem{yu2016combiningCN}
  于堃, 赵红苗, 姬光荣, \textbf{郑海永*}. \emph{结合显著性与GrubCut的无角毛类浮游植物显微图像分割}. 中国海洋大学学报(自然科学版), 2016, DOI: 10.16441/j.cnki.hdxb.20140214.

\bibitem{feng2014detectionCN}
  Chen Feng*, \textbf{Haiyong Zheng}, Lijian Zhou, Junna Cheng. \emph{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.

\bibitem{zheng2014globalCN}
  \textbf{Haiyong Zheng}, Bin Wu, Tengda Wei, Linshan Wang, Yangfan Wang*. \emph{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.

\bibitem{zheng2014automaticCN}
  \textbf{Haiyong Zheng*}, Hongmiao Zhao, Xue Sun, Huihui Gao, Guangrong Ji. \emph{Automatic setae segmentation from Chaetoceros microscopic images}. Microscopy Research and Technique, 2014, DOI: 10.1002/jemt.22389.

\bibitem{zheng2013automaticCN}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Guoyu Wang, Zhenwei Zhao, Shaohong He. \emph{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.
\end{thebibliography}

\zhysubheading{会议论文}
（* 通讯作者 / \# 同等贡献）

\begin{thebibliography}{99}
\bibitem{guo2024vieoCN}
  Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan*, Haiyong Zheng*. \emph{Video Harmonization with Triplet Spatio-Temporal Variation Patterns}. IEEE/CVF CVPR, 2024.

\bibitem{cai2024sphericalCN}
  Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng*, Junyu Dong*, Yee-Hong Yang. \emph{Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution}. AAAI, 2024, DOI: 10.1609/aaai.v38i2.27846.

\bibitem{huo2024towardsCN}
  Fenghui Huo, Yan Liu*, Haiyong Zheng. \emph{Towards Low-Cost and Energy-Optimized Underwater Image Classification Based-on FPGA}. OCEANS 2024 Singapore, 2024.

\bibitem{zhao2024selfCN}
  Haoru Zhao, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. \emph{Self-Prior Guided Diffusion Model for Marine Snow Removal}. OCEANS 2024 Singapore, 2024.

\bibitem{zhao2022transcnnCN}
  Haoru Zhao, Zhaorui Gu, Bing Zheng, \textbf{Haiyong Zheng*}. \emph{TransCNN-HAE: Transformer-CNN Hybrid AutoEncoder for Blind Image Inpainting}. ACM MM, 2022, DOI: 10.1145/3503161.3547848.

\bibitem{guo2022marineCN}
  Dongsheng Guo\#, Yiqing Huang\#, Tianshun Han, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng. \emph{Marine Snow Removal}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775132.

\bibitem{guo2022unsupervisedCN}
  Zonghui Guo, Dongsheng Guo, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng, Guoyu Wang. \emph{Unsupervised Underwater Image Clearness via Transformer}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775361.

\bibitem{han2022convolutionalCN}
  Tianshun Han\#, Zhensheng Shi\#, \textbf{Haiyong Zheng*}, Junyu Dong, Zhaorui Gu, Bing Zheng. \emph{A Convolutional Neural Network Based BPSK Demodulator for Underwater Acoustic Communication}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775379.

\bibitem{song2021sintraCN}
  Qingwei Song, Qiwei Sun, Dongsheng Guo, \textbf{Haiyong Zheng*}. \emph{SinTra: Learning an inspiration model from a single multi-track music segment}. ISMIR, 2021.

\bibitem{guo2021imageCN}
  Zonghui Guo, Dongsheng Guo, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng, Junyu Dong. \emph{Image Harmonization With Transformer}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01460.

\bibitem{guo2021paintingCN}
  Dongsheng Guo, Haoru Zhao, Yunhao Cheng, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng. \emph{Painting From Part}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01451.

\bibitem{shi2021multiCN}
  Zhensheng Shi, Ju Liang, Qianqian Li, \textbf{Haiyong Zheng*}, Zhaorui Gu, Junyu Dong, Bing Zheng. \emph{Multi-Modal Multi-Action Video Recognition}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01342.

\bibitem{guo2021intrinsicCN}
  Zonghui Guo, \textbf{Haiyong Zheng*}, Yufeng Jiang, Zhaorui Gu, Bing Zheng. \emph{Intrinsic image harmonization}. IEEE/CVF CVPR, 2021, DOI: 10.1109/CVPR46437.2021.01610.

\bibitem{guo2021underwaterCN}
  Zonghui Guo, Dongsheng Guo, Yufeng Jiang, Qianqian Li, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng, Guoyu Wang. \emph{Underwater image enhancement based on intrinsic images}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{li2021holisticCN}
  Qianqian Li, Jiahua Li, Zhensheng Shi*, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng, Juan Li. \emph{A holistic marine video dataset}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{liang2021selfCN}
  Ju Liang\#, Jihan Song\#, Qianqian Li, Zhensheng Shi*, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Self-supervised marine video analysis via siamese network}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{shi2020mgmaCN}
  Zhensheng Shi, Liangjie Cao, Cheng Guan, Ju Liang, Qianqian Li, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Multi-group multi-attention: Towards discriminative spatiotemporal representation}. ACM MM, 2020, DOI: 10.1145/3394171.3413646.

\bibitem{shi2020cotereCN}
  Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{CoTeRe-Net: Discovering collaborative ternary relations in videos}. ECCV, 2020, DOI: 10.1007/978-3-030-58539-6\_23. (Spotlight)

\bibitem{guo2020spiralCN}
  Dongsheng Guo\#, Hongzhi Liu\#, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Spiral generative network for image extrapolation}. ECCV, 2020, DOI: 10.1007/978-3-030-58529-7\_41.

\bibitem{du2020planktonCN}
  Angang Du, Zhaorui Gu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Plankton image classification using deep convolutional neural networks with second-order features}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389034.

\bibitem{guo2020imaginaryCN}
  Dongsheng Guo\#, Zhaorui Gu\#, Haoru Zhao, Qingwei Song, Yunhao Cheng, Hongzhi Liu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Imaginary-to-real generative network for marine organism image extrapolation}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389443.

\bibitem{shi2020detectingCN}
  Zhensheng Shi\#, Cheng Guan\#, Liangjie Cao, Qianqian Li, Ju Liang, Zonghui Guo, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Detecting organisms for marine video surveillance}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389458.

\bibitem{guo2020fewCN}
  Zonghui Guo\#, Liqiang Zhang\#, Yufeng Jiang, Wenjie Niu, Zhaorui Gu*, \textbf{Haiyong Zheng}, Guoyu Wang, Bing Zheng. \emph{Few-shot fish image generation and classification}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389005.

\bibitem{wang2018discriminativeCN}
  Chao Wang, \textbf{Haiyong Zheng*}, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng. \emph{Discriminative region proposal adversarial networks for high-quality image-to-image translation}. European Conference on Computer Vision (ECCV), 2018, DOI: 10.1007/978-3-030-01246-5\_47. [arXiv preprint arXiv:1711.09554]

\bibitem{liu2018teachingCN}
  Jing Liu, Angang Du, Chao Wang, \textbf{Haiyong Zheng*}, Nan Wang, Bing Zheng. \emph{Teaching squeeze-and-excitation PyramidNet for imbalanced image classification with GAN-based curriculum learning}. International Conference on Pattern Recognition (ICPR), 2018, DOI: 10.1109/ICPR.2018.8546037.

\bibitem{wang2018transferredCN}
  Chao Wang, Xueer Zheng, Chunfeng Guo, Zhibin Yu, Jia Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Transferred parallel convolutional neural network for large imbalanced plankton database classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8558836.

\bibitem{cui2018textureCN}
  Jinna Cui, Bin Wei, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Hua Yang. \emph{Texture and shape information fusion of convolutional neural network for plankton image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559156.

\bibitem{ding2018planktonCN}
  Hao Ding, Bin Wei, Ning Tang, Zhibin Yu, Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Plankton image classification via multi-class imbalanced learning}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559238.

\bibitem{liu2018deepCN}
  Jing Liu, Angang Du, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng}, Bing Zheng*, Hao Zhang. \emph{Deep pyramidal residual networks for plankton image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559106.

\bibitem{zheng2018fishCN}
  Ziqiang Zheng, Chunfeng Guo, Xueer Zheng, Zhibin Yu*, Weiwei Wang, \textbf{Haiyong Zheng}, Min Fu, Bing Zheng. \emph{Fish recognition from a vessel camera using deep convolutional neural network and data augmentation}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559314.

\bibitem{qiu2018transferCN}
  Chenchen Qiu, Jinna Cui, Shaoyong Zhang, Chao Wang, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Transfer learning for small-scale fish image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559473.

\bibitem{zheng2017automaticCN}
  \textbf{Haiyong Zheng}, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. \emph{Automatic plankton image classification combining multiple view features via multiple kernel learning}. International Conference on Bioinformatics (InCoB), 2017, \textbf{Best Paper Awards of BMC Track [Gold]}.

\bibitem{wang2017cganCN}
  Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Nan Wang, Bing Zheng. \emph{CGAN-Plankton: Towards large-scale imbalanced class generation and fine-grained classification}. IEEE International Conference on Image Processing (ICIP), 2017, DOI: 10.1109/ICIP.2017.8296402.

\bibitem{jiang2017underwaterCN}
  Shanchen Jiang, Fengna Sun, Zhaorui Gu, \textbf{Haiyong Zheng}, Wang Nan, Zhibin Yu*. \emph{Underwater 3D reconstruction based on laser line scanning}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084737.

\bibitem{sun2017practicalCN}
  Fengna Sun, Jia Yu, Zhaorui Gu*, \textbf{Haiyong Zheng}, Nan Wang, Bing Zheng. \emph{A practical system of fish size measurement}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084879.

\bibitem{ma2017simulationCN}
  Li Ma, Min Fu*, Nan Wang, \textbf{Haiyong Zheng}, Zhibin Yu, Zhaorui Gu, Jia Yu, Bing Zheng, Xuefeng Liu. \emph{Simulation of stochastic resonance in underwater laser communication}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084775.

\bibitem{dai2016hybridCN}
  Jialun Dai, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Nan Wang. \emph{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.

\bibitem{zheng2016registeringCN}
  \textbf{Haiyong Zheng}, Lin Chang, Tengda Wei, Xinxin Qiu, Ping Lin, Yangfan Wang*. \emph{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, DOI: 10.1109/cvprw.2016.68.

\bibitem{dai2016zooplanktonetCN}
  Jialun Dai, Ruchen Wang, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{ZooplanktoNet: Deep convolutional network for zooplankton classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485680.

\bibitem{wang2016multiCN}
  Ruchen Wang, Jialun Dai, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{Multi features combination for automated zooplankton classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485675.

\bibitem{qiu2016automaticCN}
  Xinxin Qiu, Ning Tang, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{Automatic segmentation of Chaetoceros microscopic images via pixel-wise classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485603.

\bibitem{zhu2016automaticCN}
  Yafei Zhu, Lin Chang, Jialun Dai, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Automatic object detection and segmentation from underwater images via saliency-based region merging}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485598.

\bibitem{chang2016phytoplanktonCN}
  Lin Chang, Ruchen Wang, \textbf{Haiyong Zheng*}, Jialun Dai, Bing Zheng. \emph{Phytoplankton feature extraction from microscopic images based on SURF-PCA}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485699.

\bibitem{li2016underwaterCN}
  Zongying Li, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng*, Jingpeng Liu. \emph{Underwater image sharpness assessment based on selective attenuation of color in the water}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485695.

\bibitem{gu2016automaticCN}
  Zhaorui Gu, Ruchen Wang, Jialun Dai, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Automatic searching of fish from underwater images via shape matching}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485597.

\bibitem{liu2016combiningCN}
  Hongkun Liu, Jialun Dai, Ruchen Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Combining background subtraction and three-frame difference to detect moving object from underwater video}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485613.

\bibitem{zheng2015underwaterCN}
  \textbf{Haiyong Zheng*}, Xue Sun, Bing Zheng, Rui Nian, Yangfan Wang. \emph{Underwater image segmentation via dark channel prior and multiscale hierarchical decomposition}. OCEANS MTS/IEEE Genova, 2015, DOI: 10.1109/OCEANS-Genova.2015.7271450.

\bibitem{chu2013salientCN}
  Jingjing Chu, Guangrong Ji, \textbf{Haiyong Zheng*}, Kun Yu, Hongguang Lu. \emph{Salient region detection for phytoplankton microscopic image}. SPIE Vol. 8878 ICDIP 2013, 88782Q, DOI: 10.1117/12.2030691.

\bibitem{lu2013ionogramCN}
  Hongguang Lu, Guangrong Ji, \textbf{Haiyong Zheng*}, Zhenwei Zhao, Shaohong He. \emph{Ionogram trace enhancement based on image pixel connectedness}. SPIE Vol. 8878 ICDIP 2013, 887809, DOI: 10.1117/12.2030690.

\bibitem{zheng2012imageCN}
  \textbf{Haiyong Zheng*}, Bing Zheng, Guangrong Ji, ZhongwenGuo, Yuting Sun. \emph{Image enhancement of underwater target detection by inhomogeneous illumination}. OCEANS MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263374.

\bibitem{zheng2011harmfulCN}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Bing Zheng, Hao Zhang, T. Aaron Gulliver. \emph{Harmful Algal Bloom recognition based on microscopic images}. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), 2011, DOI: 10.1109/PACRIM.2011.6033006.

\bibitem{zheng2010approachCN}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Bing Zheng. \emph{An approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and PDE}. OCEANS IEEE Sydney, 2010, DOI: 10.1109/OCEANSSYD.2010.5603529.
\end{thebibliography}

\zhysubheading{学位论文}

\begin{thebibliography}{99}
\bibitem{zheng2009thesisCN}
  \textbf{郑海永}. \emph{基于生物形态学的有害赤潮显微图像诊断研究}[博士学位论文]. 青岛: 中国海洋大学, 2009.
\end{thebibliography}

\zhysubheading{发明专利}

\begin{thebibliography}{99}
\bibitem{guo2021patent1CN}
  郭宗辉, \textbf{郑海永}. \emph{一种基于自注意变换的图像和谐化系统}. 申请号: 202111067167.6. 申请日: 2021年09月13日.

\bibitem{guo2021patent2CN}
  郭宗辉, \textbf{郑海永}. \emph{一种合成图像的和谐化方法及模型}. 申请号: 202110552384.8. 申请日: 2021年05月20日. 专利号: ZL 2021 1 0552384.8. 授权公告日: 2023年01月17日.

\bibitem{shi2021patentCN}
  石珍生, \textbf{郑海永}. \emph{一种用于视频多行为识别的多模态联合学习方法}. 申请号: 202111143894.6. 申请日: 2021年09月28日. 专利号: ZL 2021 1 1143894.6. 授权公告日: 2023年12月12日.

\bibitem{shi2020patent2CN}
  石珍生, \textbf{郑海永}. \emph{用于视频时空表征学习的三元关系协作模块及建模方法}. 申请号: 202010753532.8. 申请日: 2020年07月30日. 专利号: ZL 2020 1 0753532.8. 授权公告日: 2023年11月24日.

\bibitem{guo2020patentCN}
  郭冬升, \textbf{郑海永}, 赵浩如. \emph{一种基于螺旋生成网络的高质量图像外推系统}. 申请号: 202010768731.6. 申请日: 2020年08月03日. 专利号: ZL 2020 1 0768731.6. 授权公告日: 2022年03月22日.

\bibitem{shi2020patent1CN}
  石珍生, \textbf{郑海永}. \emph{一种用于视频时空表征学习的多分组多注意力建模方法}. 申请号: 202010987037.3. 申请日: 2020年09月18日. 专利号: ZL 2020 1 0987037.3. 授权公告日: 2022年04月22日.

\bibitem{shi2019patentCN}
  石珍生, \textbf{郑海永}. \emph{基于注意力增强三维时空表征学习的视频行为识别方法}. 申请号: 201910721902.7. 申请日: 2019年08月06日. 专利号: ZL 2019 1 0721902.7. 授权公告日: 2022年02月08日.

\bibitem{zheng2018patent4CN}
  \textbf{郑海永}, 邱晨晨, 俞智斌. \emph{一种基于深度卷积神经网络的鱼类图像分类方法}. 申请号: 201810984130.1. 申请日: 2018年08月28日. 专利号: ZL 2018 1 0984130.1. 授权公告日: 2021年08月03日.

\bibitem{zheng2018patent3CN}
  \textbf{郑海永}, 刘静, 杜昂昂, 俞智斌. \emph{基于深度卷积神经网络的类别不平衡的图像分类方法}. 申请号: 201810866743.5. 申请日: 2018年08月01日.

\bibitem{zheng2018patent2CN}
  \textbf{郑海永}, 王超, 俞智斌. \emph{一种基于判别区域候选对抗网络的图像转图像翻译方法}. 申请号: 201810820240.4. 申请日: 2018年07月24日.

\bibitem{zheng2018patent1CN}
  \textbf{郑海永}, 汤宁, 顾肇瑞, 俞智斌, 郑冰. \emph{一种基于无监督逐像素分类的角毛藻图像分割方法}. 申请号: 201810763944.2. 申请日: 2018年07月12日. 专利号: ZL 2018 1 0763944.2. 授权公告日: 2021年11月02日.

\bibitem{zheng2016patent1CN}
  \textbf{郑海永}, 王超, 俞智斌, 戴嘉伦, 郑冰. \emph{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. 专利号: ZL 2016 1 0912684.1. 授权公告日: 2020年03月13日.

\bibitem{zheng2016patent2CN}
  王楠, \textbf{郑海永}, 郑冰, 徐建康, 宋晓辉, 杜辉, 王晓宇. \emph{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. 专利号: ZL 2016 1 0913278.7. 授权公告日: 2019年12月17日.

\bibitem{zheng2015patent1CN}
  \textbf{郑海永}, 朱亚菲, 赵红苗, 姬光荣. \emph{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. 专利号: ZL 2015 1 0271210.9. 授权公告日: 2018年10月19日.

\bibitem{zheng2015patent2CN}
  \textbf{郑海永}, 孙晓庆, 卢红光, 何绍红, 姬光荣. \emph{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. 专利号: ZL 2015 1 0271515.X. 授权公告日: 2019年05月07日.

\bibitem{zheng2012patentCN}
  \textbf{郑海永}, 姬光荣, 王国宇, 于志刚, 米铁柱. \emph{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.

\bibitem{ji2010patent1CN}
  姬光荣, \textbf{郑海永}, 张浩, 王国宇, 于志刚. \emph{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.

\bibitem{ji2010patent2CN}
  姬光荣, \textbf{郑海永}, 张浩, 王国宇, 于志刚. \emph{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.
\end{thebibliography}

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\begin{tabular*}{7.5in}{l@{\extracolsep{\fill}}r}
  {\Large\hei Haiyong Zheng} \hspace{1em} {\large\hei PhD, Professor} \hspace{10em} Last updated: \today & \multirow{5}{*}{\includegraphics[width=2cm]{HaiyongZheng.png}}\\
  \ding{80}~Gender: Male~\hspace{4em}~Birth Date: August 1982 & \\
  \ding{38}~+86 18661867997~\hspace{2.2em}~Hometown: \href{http://en.wikipedia.org/wiki/Linqu_County}{Linqu County} Shandong & \\
  \ding{41}~\href{mailto:zhenghaiyong@ouc.edu.cn}{zhenghaiyong\MVAt ouc.edu.cn}~~~~|~~~~\href{mailto:zhenghaiyong@gmail.com}{zhenghaiyong\MVAt gmail.com} & \\
  \ding{39}~\href{http://ouc.ai/zhenghaiyong}{ouc.ai}~~~~|~~~~\href{http://vision.ouc.edu.cn/zhenghaiyong}{vision.ouc.edu.cn} & \\
\end{tabular*}

\vspace{0.1in}
\textcolor{FLY}{\rule{\textwidth}{1pt}}

%My research interests mainly focus on Saliency Detection, Object Detection, Feature Extraction, Feature Learning, Object Recognition, and Image Classification in Computer Vision and Machine Learning, especially Underwater Vision and Deep Learning.
Haiyong Zheng received the B.E. degree in electronic information engineering and the Ph.D. degree in ocean information sensing and processing from the Ocean University of China, Qingdao, China, in 2004 and 2009, respectively. In 2009, he joined the College of Electronic Engineering, Ocean University of China, where he is currently a professor. He focuses on the cutting-edge research fields of deep learning and artificial intelligence, including computer vision, underwater vision, signal processing, and artificial intelligence oceanography. He has published over 80 papers in leading journals and conferences, such as IJCV, IEEE TPAMI and JOE, as well as CVPR, ICCV, ECCV, ACM MM, etc., and has patented over 10 inventions. He is an IEEE and CSIG Senior Member, and on the editorial boards of the \emph{IEEE Journal of Oceanic Engineering}, \emph{Intelligent Marine Technology and Systems} and \emph{IEEE Access}, as well as the chair of IEEE OES Technology Committee on \emph{Subsea Optics and Vision} and a member of PICES WG-48 (WGISMP: \emph{Towards best practices using Imaging Systems for Monitoring Plankton}). He is a recipient of the Best Paper Award in InCoB 2017 and the TaiShan Scholars Youth Expert Program of Shandong Province (2022). Now he leads the research group of Micronano Perception and Information Intelligence (MPII) at Ocean University of China.
%\begin{itemize}
%\item \textbf{Underwater Imaging and Processing}
%\item \textbf{Image Translation and Synthesis}
%\item \textbf{Visual Recognition and Representation}
%\item \textbf{Marine Plankton Image Analysis and Recognition/Classification}
%\item \textbf{Underwater Target Visual Information Acquisition and Processing}
%\item \textbf{Image Analysis and Identification/Classification of Plankton}: Supported by the National Natural Science Foundation of China (NSFC) ``Image Identification of Phytoplankton Cells from Chinese Coast Areas'' and the National High Technology Research and Development Program of China (863 Program) ``Research on Diagnostic System Technology of Harmful Algal Blooms'', we have desgined and implemented the Microscopic Image Database of Phytoplankton and Harmful Algal Blooms (HABs) in Chinese Coast Areas and the Automatic Identification System of HABs by Microscopic Images. The research combines the biological knowledge of phytoplankton classification with image analysis and pattern recognition technology to study the phytoplankton analysis and identification/classification, in order to realize the rapid and effective diagnosis of dominant phytoplankton species, which can be integrated with the on-site and \textsl{in situ} image acquisition system for phytoplankton (especially HABs) real-time monitoring.
%\item \textbf{Vertical Sounding Ionogram Parsing/Interpretation and Scaling}
%\item \textbf{Vertical Sounding Ionogram Parsing/Interpretation and Scaling}: As the ``mirror of solar activity'' and ``magnifier of atmospheric disturbance'', ionospheric research has a very important academic significance as well as social and economic value. Aiming at the time-consuming and laborious problems manually ionogram scaling by well-experienced operators, the research is based on the ionosondes developed by China Research Institute of Radio Wave Propagation in different latitude observatories of China, converting the sounding data to gray-level images and combining the characteristics of ionospheric vertical echoes and ionospheric structure with image processing and analysis technology to implement the automatic interpretation and scaling of ionographic parameters, in order to achieve long-term and real-time ionospheric monitoring as well as lay the foundation for the ionosphere and its related research.
%\end{itemize}

\section{Education Experience}

\begin{itemize}
\item
  \ressubheading{Ocean University of China}{Qingdao, China}{DSc: Ocean Information Sensing and Processing, Supervisor: Prof. Guangrong Ji}{Sep. 2004 - Jun. 2009}
\item
  \ressubheading{Ocean University of China}{Qingdao, China}{BEng: Electronic Information Engineering}{Sep. 2000 - Jun. 2004}
\end{itemize}

\section{Work Experience}

\begin{itemize}
\item
  \ressubheading{Ocean University of China}{Qingdao, China}{Professor, College of Electronic Engineering}{Jan. 2020 - present}
\item
  \ressubheading{University of Dundee}{Dundee, UK}{Visiting Scholar, Department of Mathematics}{Aug. 2018 - Aug. 2019}
\item
  \ressubheading{Ocean University of China}{Qingdao, China}{Associate Professor, Department of Electronic Engineering}{Dec. 2014 - Dec. 2019}
\item
  \ressubheading{Ocean University of China}{Qingdao, China}{Lecturer, Department of Electronic Engineering}{Jul. 2009 - Nov. 2014}
\end{itemize}

\section{Professional Service}

\begin{itemize}
\item \textbf{Professional Position}: \emph{IEEE Journal of Oceanic Engineering} Associate Editor, \emph{Intelligent Marine Technology and Systems} Associate Editor, \emph{IEEE Access} Associate Editor; IEEE Senior Member, CSIG Senior Member; \emph{IEEE OES Technology Committee on Subsea Optics and Vision} Chair (2023-2024); VALSE LACC, VODB; ISAIR Steering Committee.
\item \textbf{Guest Editor}: Deep Learning for Marine Science, Volume II, Frontiers in Marine Science, 2023; Deep Learning for Marine Science, Frontiers in Marine Science, 2022; Advanced Machine Learning Methodologies for Underwater Image and Video Processing and Analysis, IEEE Journal of Oceanic Engineering, 2021.
\item \textbf{Invited Talk}: Underwater Vision: ``Hearing before seeing'', Chinese Conference on Pattern Recognition and Computer Vision (PRCV) Workshop, Shenzhen, China, 2022; Image Harmonization Methods and Applications, Wireless Silk Road International Lecture Series, Virtual, 2022; Image-to-Image Translation: Advances and Trends, International Symposium on Artificial Intelligence and Robotics (ISAIR), Daegu, Korea, 2019; Underwater Vision from Optics and Imaging to Vision and Learning, Vision And Learning SEminar (VALSE), Xiamen, China, 2017.
\item \textbf{Journal Review}: IEEE TPAMI, TNNLS, TII, TSMC, TMI, TCSVT, TAI, JOE, Access, SPL, GRSL; IEEE/ACM TCBB; ACM CSUR; Elsevier FGCS, KNOSYS, P\&RS AESCTE, PR, PRLETTERS, NEUCOM, CVIU, JVCI, JOLT, COMPELECENG, FISH, ASOC, OPT COMMUN, ECOINF; SPIE JEI, JARS, OE; Springer MONE, COE, MTAP, NCA, WINE; Wiley LOM, MRT, CCPE; CLP COL; Nature SREP; Hindawi CIN; $\cdots$
\item \textbf{Conference Review}: CVPR (2019-), ICCV (2019-), ECCV (2020-), ICML (2023-), NeurIPS (2022-), ICLR (2022-), AAAI (2020-), ACM MM (2021-), MICCAI (2022-), WACV (2021-), OCEANS (2016-).
\end{itemize}

\section{Project Grants}
\subsection{Image-to-Image Translation and Underwater Vision}
\begin{itemize}
\item 
  \ressubheading{\tabincell{l}{Self-Supervised Image-to-Image Translation under Limited Situation\\ and its Underwater Vision Application}}{NSFC ({\bf Principal Investigator})}{Grant No. 62171421 ¥570 Thousand}{Duration: January 2022 - December 2025}
\end{itemize}
%\subsection{Image Analysis and Identification/Classification of Plankton}
\subsection{Marine Plankton Image Analysis and Recognition/Classification}
\begin{itemize}
\item
  \ressubheading{\tabincell{l}{Fine-Grained Image Recognition of Marine Plankton under Class\\ Imbalance and its \textit{In Situ} Application}}{NSFC ({\bf Principal Investigator})}{Grant No. 61771440 ¥670 Thousand}{Duration: January 2018 - December 2021}
\item
  \ressubheading{\tabincell{l}{Fine-Grained Image Recognition of Marine Plankton under Class\\ Imbalance based on Deep Learning}}{QDSTC ({\bf Principal Investigator})}{Grant No. 17-1-1-5-jch ¥100 Thousand}{Duration: March 2017 - March 2019}
\item
  \ressubheading{\tabincell{l}{Microscopic Image Analysis of Marine Phytoplankton Based on\\ Visual Attention Combined with Biomorphic Characteristics}}{NSFC ({\bf Principal Investigator})}{Grant No. 61301240 ¥260 Thousand}{Duration: January 2014 - December 2016}
%  \begin{itemize}
%    \resitem{依据藻细胞的生物形态特征通过人工镜检进行分类和计数是目前公认的藻类监测方法。然而，该方法存在专业水平高、分类人员断层、耗时费力等问题而无法应用于大量样品和现场及原位实时快速分析。而目前国内外基于计算机视觉的藻细胞显微图像分析研究存在藻种类别及数据集单一化且难以有效检测和分割细胞目标、提取表示细节特征等难题。}
%    \resitem{This research focuses on marine phytoplankton microscopic images with a large number of species and various morphologies to build a computational model of visual attention combining bottom-up and top-down mechanisms. The model combines with biomorphic visual characteristics such as shape, size, texture, seta, cingulum and sulcus to detect and extract cell salient regions. Then object recognition and classification counting can be realized by a hierarchical computational model in visual cortex.}
%    \resitem{Combining the knowledge of phytoplankton classification from marine biologist with computational model of visual attention to imitate the visual perception of phytoplankton experts could become a novel method on image analysis of phytoplankton for rapid and effective identification and classification of phytoplankton species, thus laying the foundation for the study of phytoplankton on-site and \textsl{in situ} real-time monitoring.}
%  \end{itemize}
\item
  \ressubheading{\tabincell{l}{Automatic Identification of Harmful Algal Blooms in Chinese Coast\\ Areas by Microscopic Images Based on Biomorphic Characteristics}}{NSFC (Main Investigator)}{Grant No. 61271406 ¥300 Thousand}{Duration: January 2013 - December 2016}
%  \begin{itemize}
%    \resitem{中国海常见有害赤潮藻的自动识别对我国海洋生态系统、环境监测和海洋渔业生产等多方面具有重要的科学和现实意义。传统的赤潮藻鉴定主要依赖经验丰富的藻类专家依据种的生物形态学特征在显微镜下通过人工目视判读、分类，该方法存在专业水平高、分类人员断层、耗时费力等问题。而目前国内外基于计算机视觉的藻细胞显微图像自动识别研究存在难以有效地分割图像目标、提取表示特征等问题。}
%    \resitem{This research focuses on 41 kinds of HABs in Chinese coast areas and proposes to create the feature sets of phytoplankton according to their biomorphic characteristics such as seta, cingulum and sulcus, and spine; constructs classifier according to biological classification method to achieve the automatic identification of HABs in Chinese coast areas.}
%    \resitem{Combining the knowledge of phytoplankton classification by biologist with image processing, image analysis as well as pattern recognition technology to establish the HAB automatic identification system, could realize the rapid and effective identification of dominant HAB species, which can lay the foundation for the study of HAB \textsl{in situ} monitoring system.}
%  \end{itemize}
\item
  \ressubheading{\tabincell{l}{Automatic Identification of Harmful Algal Blooms by Microscopic\\ Images Based on Biological Morphology}}{SDNSF ({\bf Principal Investigator})}{Grant No. ZR2010DQ002 ¥50 Thousand}{Duration: November 2010 - November 2013}
%  \begin{itemize}
%    \resitem{中国海常见有害赤潮藻的自动识别对我国海洋生态系统、环境监测和海洋渔业生产等多方面具有科学和现实意义。传统的赤潮藻鉴定主要依赖经验丰富的藻类专家依据种的生物形态学特征在显微镜下通过人工目视判读、分类，该方法目前存在专业水平高、分类人员断层、耗时等问题。}
%    \resitem{This research acquires and collects the multi-view images of Harmful Algal Blooms (HABs) from Chinese coast areas in different growth phases and differnet perspectives to establish the Microscopic Image Database of HABs;}
%    \resitem{and combines the traditional biomorphic classification with image analysis, statistical learning as well as pattern recognition technology to build the automatic identification system of HABs by microscopic images.}
%    \resitem{该项研究将更新目前的海洋赤潮监测、调查方法；同时将发展对大量类别、每一种类别目标又是多视点、多形态的识别方法的研究。}
%  \end{itemize}
\end{itemize}
\subsection{Underwater Target Visual Information Acquisition and Processing}
\begin{itemize}
\item
  \ressubheading{\tabincell{l}{Research on Key Technologies of \textit{In-Situ} Optical Observation for\\ Marine Meso- and Micro-Plankton}}{NSFC (Main Investigator)}{Grant No. 41776113 ¥700 Thousand}{Duration: January 2018 - December 2021}
\item
  \ressubheading{Logical Stochastic Resonance Based Underwater Image Object Detection}{NSFC (Main Investigator)}{Grant No. 61703381 ¥250 Thousand}{Duration: January 2018 - December 2020}
\item
  \ressubheading{\textit{In-situ} Sensing and Analyzing System of Ocean Zooplankton}{FRFCU ({\bf Principal Investigator})}{Grant No. 201562023 ¥950 Thousand}{Duration: November 2015 - December 2017}
\end{itemize}
\subsection{Vertical Sounding Ionogram Parsing/Interpretation and Scaling}
\begin{itemize}
\item
  \ressubheading{Automatic Scaling of Vertical Sounding Ionogram Based on Image Analysis}{QDSTC ({\bf Principal Investigator})}{Grant No. 13-1-4-223-jch ¥50 Thousand}{Duration: January 2013 - September 2015}
\item
  \ressubheading{Automatic Interpretation and Scaling of Ionospheric Vertical Sounding Ionogram}{FRFCU ({\bf Principal Investigator})}{Grant No. 201313011 ¥160 Thousand}{Duration: January 2013 - December 2015}
\item
  \ressubheading{Automatic Identification of Typical Vertical Sounding Ionogram}{CRIRP ({\bf Principal Investigator})}{No. 20140106 ¥100 Thousand}{Duration: June 2013 - May 2015}
\end{itemize}

\section{Publications}
%\zhysubheading{\bf E-prints}
%(* indicates corresponding author)
%
%\begin{thebibliography}{99}
%\end{thebibliography}

\zhysubheading{\bf Journals}
(* indicates corresponding author and \# indicates equal contribution)

\begin{thebibliography}{99}
\bibitem{shi2024oceanvp}
  Zhensheng Shi, Haiyong Zheng*, Junyu Dong*. \emph{OceanVP: A HYCOM based Benchmark Dataset and A Relational Spatiotemporal Predictive Network for Oceanic Variable Prediction}. Ocean Engineering, 2024, DOI: 10.1016/j.oceaneng.2024.117748.

\bibitem{si2024duet}
  Guangzhe Si, Zhaorui Gu, Haiyong Zheng*. \emph{Duet of ViT and CNN: multi-scale dual-branch network for fine-grained image classification of marine organisms}. Intelligent Marine Technology and Systems, 2024, DOI: 10.1007/s44295-023-00019-8.

\bibitem{li2023multidomain}
  Lin Li, \textbf{Haiyong Zheng*}. \emph{Multidomain Transfer Ensemble Learning for Wireless Fingerprinting Localization}. IEEE Internet of Things Journal, 2023, DOI: 10.1109/JIOT.2023.3330736.

\bibitem{bi2023taming}
  Hongsheng Bi*, Yunhao Cheng, Xuemin Cheng, Mark C. Benfield, David G. Kimmel, \textbf{Haiyong Zheng}, Sabrina Groves, Kezhen Ying. \emph{Taming the data deluge: a novel end-to-end deep learning system for classifying marine biological and environmental images}. Limnology and Oceanography: Methods, 2023, DOI: 10.1002/lom3.10591.

\bibitem{li2023quantum}
  Yanan Li\#, Zhimin Wang\#*, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, \textbf{Haiyong Zheng}, Guoqiang Zhong, Yongjian Gu*. \emph{Quantum recurrent neural networks for sequential learning}. Neural Networks, 2023, DOI: 10.1016/j.neunet.2023.07.003.

\bibitem{gu2023underwater}
  Zhaorui Gu, Xiuhan Liu, Zhiqiang Hu, Guoyu Wang, Bing Zheng, John Watson, \textbf{Haiyong Zheng*}. \emph{Underwater computational imaging: a survey}. Intelligent Marine Technology and Systems, 2023, DOI: 10.1007/s44295-023-00009-w.

\bibitem{guo2023unified}
  Dongsheng Guo, Zhaorui Gu, Bing Zheng, Junyu Dong, \textbf{Haiiyong ZHeng*}. \emph{An unified framework with iterative prediction for both image inpainting and image outpainting}. Journal of Image and Graphics, 2023, DOI: 10.11834/jig.230144.

\bibitem{qi2022sguie}
  Qi Qi, Kunqian Li*, \textbf{Haiyong Zheng}, Xiang Gao, Guojia Hou, Kun Sun. \emph{SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception}. IEEE Transactions on Image Processing, 2022, DOI: 10.1109/TIP.2022.3216208.

\bibitem{guo2022transformer}
  Zonghui Guo, Zhaorui Gu, Bing Zheng, Junyu Dong, \textbf{Haiyong Zheng*}. \emph{Transformer for Image Harmonization and Beyond}. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, DOI: 10.1109/TPAMI.2022.3207091.

\bibitem{li2022deep}
  Juan Li, Wenkai Xu, Limiao Deng, Ying Xiao, Zhongzhi Han, \textbf{Haiyong Zheng*}. \emph{Deep learning for visual recognition and detection of aquatic animals: A review}. Reviews in Aquaculture, 2022, DOI: 10.1111/raq.12726.

\bibitem{shi2022detecting}
  Zhensheng Shi\#, Cheng Guan\#, Qianqian Li\#, Ju Liang, Liangjie Cao, \textbf{Haiyong Zheng*}, Zhaorui Gu*, Bing Zheng. \emph{Detecting Marine Organisms via Joint Attention-Relation Learning for Marine Video Surveillance}. IEEE Journal of Oceanic Engineering, 2022, DOI: 10.1109/JOE.2022.3162864.

\bibitem{nawaz2022temporal}
  Hafiza Sadia Nawaz, Zhensheng Shi, Yanhai Gan, Amanuel Hirpa, Junyu Dong*, \textbf{Haiyong Zheng}. \emph{Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora}. IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3162650.

\bibitem{liu2022disentangling}
  Peng Liu\#, Yueyue Wang\#, Angang Du, Liqiang Zhang, Bin Wei, Zhaorui Gu*, Xiaodong Wang*, \textbf{Haiyong Zheng}, Juan Li. \emph{Disentangling Latent Space Better for Few-Shot Image-to-Image Translation}. International Journal of Machine Learning and Cybernetics, 2022, DOI: 10.1007/s13042-022-01552-4.

\bibitem{liu2022multi}
  Peng Liu\#*, Chufeng Zhang\#, Hao Qi, Guoyu Wang, \textbf{Haiyong Zheng*}. \emph{Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems}. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3145815.

\bibitem{zhao2021synthesis}
  Qi Zhao\#, Ziqiang Zheng\#, Huimin Zeng, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction}. Frontiers in Marine Science, 2021, DOI: 10.3389/fmars.2021.690962.

\bibitem{zheng2021generative}
  Ziqiang Zheng, Zhibin Yu, Yang Wu, \textbf{Haiyong Zheng*}, Bing Zheng, Minho Lee*. \emph{Generative adversarial network with multi-branch discriminator for imbalanced cross-species image-to-image translation}. Neural Networks, 2021, DOI: 10.1016/j.neunet.2021.04.013.

\bibitem{zheng2021one}
  Ziqiang Zheng, Zhibin Yu, \textbf{Haiyong Zheng}, Yang Yang*, Heng Tao Shen. \emph{One-shot image-to-image translation via part-global learning with a multi-adversarial framework}. IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3053775.

\bibitem{shi2020learning}
  Zhensheng Shi\#, Liangjie Cao\#, Cheng Guan, \textbf{Haiyong Zheng*}, Zhaorui Gu*, Zhibin Yu, Bing Zheng. \emph{Learning attention-enhanced spatiotemporal representation for action recognition}. IEEE Access, 2020, DOI: 10.1109/ACCESS.2020.2968024.

\bibitem{wang2019discriminative}
  Chao Wang\#, Wenjie Niu\#, Yufeng Jiang\#, \textbf{Haiyong Zheng*}, Zhibin Yu*, Zhaorui Gu, Bing Zheng. \emph{Discriminative region proposal adversarial network for high-quality image-to-image translation}. International Journal of Computer Vision, 2019, DOI: 10.1007/s11263-019-01273-2.

\bibitem{zhao2019fine}
  Yan Zhao, Ziqiang Zheng, Chao Wang, Zhaorui Gu, Min Fu, Zhibin Yu*, \textbf{Haiyong Zheng}, Nan Wang, Bing Zheng. \emph{Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework}. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-08346-x.

\bibitem{liu2019underwater}
  Peng Liu, Guoyu Wang, Hao Qi, Chufeng Zhang, \textbf{Haiyong Zheng}, Zhibin Yu*. \emph{Underwater image enhancement with a deep residual framework}. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2928976.

\bibitem{yu2019video}
  Jia Yu, Xuewen Yang, Nan Wang*, Gavin Tilstone, Elaine Fileman, \textbf{Haiyong Zheng}, Zhibin Yu. \emph{Video-based real time analysis of plankton particle size spectrum}. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2914727.

\bibitem{zhang2019learning}
  Haoxu Zhang, Chenchen Qiu, Chao Wang, Bin Wei, Zhibin Yu, \textbf{Haiyong Zheng*}, Juan Li*. \emph{Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation}. Concurrency and Computation: Practice and Experience, 2019, DOI: 10.1002/cpe.5430.

\bibitem{ding2019kaensemble}
  Hao Ding, Bin Wei*, Zhaorui Gu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Juan Li. \emph{KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling}. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-07856-y.

\bibitem{zheng2019unpaired}
  Ziqiang Zheng, Chao Wang, Zhibin Yu, Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Unpaired photo-to-caricature translation on faces in the wild}. Neurocomputing, 2019, DOI: 10.1016/j.neucom.2019.04.032. [arXiv preprint arXiv:1711.10735]

\bibitem{wang2018vision}
  Nan Wang, Jia Yu, Biao Yang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Vision-based in situ monitoring of plankton size spectra via a convolutional neural network}. IEEE Journal of Oceanic Engineering, 2018, DOI: 10.1109/JOE.2018.2881387.

\bibitem{qiu2018improving}
  Chenchen Qiu, Shaoyong Zhang, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Improving transfer learning and squeeze-and-excitation networks for small-scale fine-grained fish image classification}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2885055.

\bibitem{sun2018underwater}
  Mengnan Sun, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*, John Watson. \emph{Underwater wide-area layered light field for underwater detection}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2877591.

\bibitem{zhang2018depth}
  Shaoyong Zhang, Na Li, Chenchen Qiu, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Depth map prediction from a single image with generative adversarial nets}. Multimedia Tools and Applications, 2018, DOI: 10.1007/s11042-018-6694-x.

\bibitem{li2018synthesis}
  Na Li, Ziqiang Zheng, Shaoyong Zhang, Zhibin Yu*, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{The synthesis of unpaired underwater images using a multistyle generative adversarial network}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2870854.

\bibitem{tang2018unsupervised}
  Ning Tang, Fei Zhou, Zhaorui Gu, \textbf{Haiyong Zheng*}, Zhibin Yu, Bing Zheng. \emph{Unsupervised pixel-wise classification for Chaetoceros image segmentation}. Neurocomputing, 2018, DOI: 10.1016/j.neucom.2018.08.064.

\bibitem{zheng2018instance}
  Ziqiang Zheng, Chao Wang, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Instance map based image synthesis with a denoising generative adversarial network}. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2849108. [arXiv preprint arXiv:1801.03252]

\bibitem{lu2018multiscale}
  Jingyu Lu, Na Li, Shaoyong Zhang, Zhibin Yu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Multi-scale adversarial network for underwater image restoration}. Optics and Laser Technology, 2018, DOI: 10.1016/j.optlastec.2018.05.048.

\bibitem{wang2018when}
  Nan Wang*, Bing Zheng, \textbf{Haiyong Zheng}, Biao Yang. \emph{When underwater degraded images meet logical stochastic resonance}. Nonlinear Dynamics, 2018, DOI: 10.1007/s11071-018-4359-y.

\bibitem{zheng2017automaticBMC}
  \textbf{Haiyong Zheng}, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. \emph{Automatic plankton image classification combining multiple view features via multiple kernel learning}. BMC Bioinformatics, 2017, DOI: 10.1186/s12859-017-1954-8.

\bibitem{wang2017imaging}
  Yan Wang, Na Li, Zongying Li, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng, Mengnan Sun. \emph{An imaging-inspired no-reference underwater color image quality assessment metric}. Computers and Electrical Engineering, 2017, DOI: 10.1016/j.compeleceng.2017.12.006.

\bibitem{sun2017target}
  Mengnan Sun, Bing Zheng*, Bo Peng, Yan Wang, \textbf{Haiyong Zheng}. \emph{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.

\bibitem{yu2017underwater}
  Zhibin Yu, Yubo Wang, Bing Zheng*, \textbf{Haiyong Zheng}, Nan Wang, Zhaorui Gu. \emph{Underwater inherent optical properties estimation using a depth aided deep neural network}. Computational Intelligence and Neuroscience, 2017, DOI: 10.1155/2017/8351232.

\bibitem{wang2017underwater}
  Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Underwater image restoration via maximum attenuation identification}. IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2753796.

\bibitem{wang2017feeble}
  Nan Wang, Bing Zheng*, \textbf{Haiyong Zheng}, Zhibin Yu. \emph{Feeble object detection of underwater images through LSR with delay loop}. Optics Express, 2017, DOI: 10.1364/OE.25.022490.

\bibitem{wei2017learning}
  Tengda Wei, Linshan Wang, Ping Lin, Jialing Chen, Yangfan Wang*, \textbf{Haiyong Zheng}. \emph{Learning non-negativity constrained variation for image denoising and deblurring}. Numerical Mathematics: Theory, Methods and Applications, 2017, DOI: 10.4208/nmtma.2017.m1653.

\bibitem{zheng2017robust}
  \textbf{Haiyong Zheng*}, Nan Wang, Zhibin Yu, Zhaorui Gu, Bing Zheng. \emph{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.

\bibitem{yu2017salient}
  Zhitao Yu, Tingting Ji, Xiaolong Cheng, Hongmiao Zhao, Guangrong Ji, \textbf{Haiyong Zheng*}. \emph{Salient object detection based on adaptive amplitude spectrum analysis}. Periodical of Ocean University of China, 2017, DOI: 10.16441/j.cnki.hdxb.20150080.

\bibitem{zheng2016object}
  Bing Zheng, Nan Wang*, \textbf{Haiyong Zheng}, Zhibin Yu, Jinpeng Wang. \emph{Object extraction from underwater images through logical stochastic resonance}. Optics Letters, 2016, DOI: 10.1364/OL.41.004967.

\bibitem{wang2016spectral}
  Xiaodong Wang, Jialun Dai, Yafei Zhu, \textbf{Haiyong Zheng*}, Xiaoyan Qiao. \emph{Spectral saliency via automatic adaptive amplitude spectrum analysis}. Journal of Electronic Imaging, 2016, DOI: 10.1117/1.JEI.25.2.023020.

\bibitem{yu2016automatic}
  Kun Yu, Guangrong Ji, \textbf{Haiyong Zheng*}. \emph{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.

\bibitem{yu2016combining}
  Kun Yu, Hongmiao Zhao, Guangrong Ji, \textbf{Haiyong Zheng*}. \emph{Combining saliency with GrubCut for phytoplankton microscopic image segmentation of non-setae species}. Periodical of Ocean University of China, 2016, DOI: 10.16441/j.cnki.hdxb.20140214.

\bibitem{feng2014detection}
  Chen Feng*, \textbf{Haiyong Zheng}, Lijian Zhou, Junna Cheng. \emph{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.

\bibitem{zheng2014global}
  \textbf{Haiyong Zheng}, Bin Wu, Tengda Wei, Linshan Wang, Yangfan Wang*. \emph{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.

\bibitem{zheng2014automatic}
  \textbf{Haiyong Zheng*}, Hongmiao Zhao, Xue Sun, Huihui Gao, Guangrong Ji. \emph{Automatic setae segmentation from Chaetoceros microscopic images}. Microscopy Research and Technique, 2014, DOI: 10.1002/jemt.22389.

\bibitem{zheng2013automatic}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Guoyu Wang, Zhenwei Zhao, Shaohong He. \emph{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.
\end{thebibliography}

\zhysubheading{\bf Conferences}
(* indicates corresponding author and \# indicates equal contribution)

\begin{thebibliography}{99}
\bibitem{guo2024vieo}
  Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan*, Haiyong Zheng*. \emph{Video Harmonization with Triplet Spatio-Temporal Variation Patterns}. IEEE/CVF CVPR, 2024.

\bibitem{cai2024spherical}
  Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng*, Junyu Dong*, Yee-Hong Yang. \emph{Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution}. AAAI, 2024, DOI: 10.1609/aaai.v38i2.27846.

\bibitem{huo2024towards}
  Fenghui Huo, Yan Liu*, Haiyong Zheng. \emph{Towards Low-Cost and Energy-Optimized Underwater Image Classification Based-on FPGA}. OCEANS 2024 Singapore, 2024.

\bibitem{zhao2024self}
  Haoru Zhao, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. \emph{Self-Prior Guided Diffusion Model for Marine Snow Removal}. OCEANS 2024 Singapore, 2024.

\bibitem{zhao2022transcnn}
  Haoru Zhao, Zhaorui Gu, Bing Zheng, \textbf{Haiyong Zheng*}. \emph{TransCNN-HAE: Transformer-CNN Hybrid AutoEncoder for Blind Image Inpainting}. ACM MM, 2022, DOI: 10.1145/3503161.3547848.

\bibitem{guo2022marine}
  Dongsheng Guo\#, Yiqing Huang\#, Tianshun Han, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng. \emph{Marine Snow Removal}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775132.

\bibitem{guo2022unsupervised}
  Zonghui Guo, Dongsheng Guo, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng, Guoyu Wang. \emph{Unsupervised Underwater Image Clearness via Transformer}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775361.

\bibitem{han2022convolutional}
  Tianshun Han\#, Zhensheng Shi\#, \textbf{Haiyong Zheng*}, Junyu Dong, Zhaorui Gu, Bing Zheng. \emph{A Convolutional Neural Network Based BPSK Demodulator for Underwater Acoustic Communication}. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775379.

\bibitem{song2021sintra}
  Qingwei Song, Qiwei Sun, Dongsheng Guo, \textbf{Haiyong Zheng*}. \emph{SinTra: Learning an inspiration model from a single multi-track music segment}. ISMIR, 2021.

\bibitem{guo2021image}
  Zonghui Guo, Dongsheng Guo, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng, Junyu Dong. \emph{Image Harmonization With Transformer}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01460.

\bibitem{guo2021painting}
  Dongsheng Guo, Haoru Zhao, Yunhao Cheng, \textbf{Haiyong Zheng*}, Zhaorui Gu, Bing Zheng. \emph{Painting From Part}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01451.

\bibitem{shi2021multi}
  Zhensheng Shi, Ju Liang, Qianqian Li, \textbf{Haiyong Zheng*}, Zhaorui Gu, Junyu Dong, Bing Zheng. \emph{Multi-Modal Multi-Action Video Recognition}. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01342.

\bibitem{guo2021intrinsic}
  Zonghui Guo, \textbf{Haiyong Zheng*}, Yufeng Jiang, Zhaorui Gu, Bing Zheng. \emph{Intrinsic image harmonization}. IEEE/CVF CVPR, 2021, DOI: 10.1109/CVPR46437.2021.01610.

\bibitem{guo2021underwater}
  Zonghui Guo, Dongsheng Guo, Yufeng Jiang, Qianqian Li, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng, Guoyu Wang. \emph{Underwater image enhancement based on intrinsic images}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{li2021holistic}
  Qianqian Li, Jiahua Li, Zhensheng Shi*, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng, Juan Li. \emph{A holistic marine video dataset}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{liang2021self}
  Ju Liang\#, Jihan Song\#, Qianqian Li, Zhensheng Shi*, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Self-supervised marine video analysis via siamese network}. OCEANS 2021 San Diego – Porto, 2021.

\bibitem{shi2020mgma}
  Zhensheng Shi, Liangjie Cao, Cheng Guan, Ju Liang, Qianqian Li, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Multi-group multi-attention: Towards discriminative spatiotemporal representation}. ACM MM, 2020, DOI: 10.1145/3394171.3413646.

\bibitem{shi2020cotere}
  Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{CoTeRe-Net: Discovering collaborative ternary relations in videos}. ECCV, 2020, DOI: 10.1007/978-3-030-58539-6\_23. (Spotlight)

\bibitem{guo2020spiral}
  Dongsheng Guo\#, Hongzhi Liu\#, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, \textbf{Haiyong Zheng*}, Bing Zheng*. \emph{Spiral generative network for image extrapolation}. ECCV, 2020, DOI: 10.1007/978-3-030-58529-7\_41.

\bibitem{du2020plankton}
  Angang Du, Zhaorui Gu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Plankton image classification using deep convolutional neural networks with second-order features}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389034.

\bibitem{guo2020imaginary}
  Dongsheng Guo\#, Zhaorui Gu\#, Haoru Zhao, Qingwei Song, Yunhao Cheng, Hongzhi Liu, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Imaginary-to-real generative network for marine organism image extrapolation}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389443.

\bibitem{shi2020detecting}
  Zhensheng Shi\#, Cheng Guan\#, Liangjie Cao, Qianqian Li, Ju Liang, Zonghui Guo, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Detecting organisms for marine video surveillance}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389458.

\bibitem{guo2020few}
  Zonghui Guo\#, Liqiang Zhang\#, Yufeng Jiang, Wenjie Niu, Zhaorui Gu*, \textbf{Haiyong Zheng}, Guoyu Wang, Bing Zheng. \emph{Few-shot fish image generation and classification}. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389005.

\bibitem{wang2018discriminative}
  Chao Wang, \textbf{Haiyong Zheng*}, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng. \emph{Discriminative region proposal adversarial networks for high-quality image-to-image translation}. European Conference on Computer Vision (ECCV), 2018, DOI: 10.1007/978-3-030-01246-5\_47. [arXiv preprint arXiv:1711.09554]

\bibitem{liu2018teaching}
  Jing Liu, Angang Du, Chao Wang, \textbf{Haiyong Zheng*}, Nan Wang, Bing Zheng. \emph{Teaching squeeze-and-excitation PyramidNet for imbalanced image classification with GAN-based curriculum learning}. International Conference on Pattern Recognition (ICPR), 2018, DOI: 10.1109/ICPR.2018.8546037.

\bibitem{wang2018transferred}
  Chao Wang, Xueer Zheng, Chunfeng Guo, Zhibin Yu, Jia Yu, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Transferred parallel convolutional neural network for large imbalanced plankton database classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8558836.

\bibitem{cui2018texture}
  Jinna Cui, Bin Wei, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Hua Yang. \emph{Texture and shape information fusion of convolutional neural network for plankton image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559156.

\bibitem{ding2018plankton}
  Hao Ding, Bin Wei, Ning Tang, Zhibin Yu, Nan Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Plankton image classification via multi-class imbalanced learning}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559238.

\bibitem{liu2018deep}
  Jing Liu, Angang Du, Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng}, Bing Zheng*, Hao Zhang. \emph{Deep pyramidal residual networks for plankton image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559106.

\bibitem{zheng2018fish}
  Ziqiang Zheng, Chunfeng Guo, Xueer Zheng, Zhibin Yu*, Weiwei Wang, \textbf{Haiyong Zheng}, Min Fu, Bing Zheng. \emph{Fish recognition from a vessel camera using deep convolutional neural network and data augmentation}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559314.

\bibitem{qiu2018transfer}
  Chenchen Qiu, Jinna Cui, Shaoyong Zhang, Chao Wang, Zhaorui Gu*, \textbf{Haiyong Zheng}, Bing Zheng. \emph{Transfer learning for small-scale fish image classification}. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559473.

\bibitem{zheng2017automatic}
  \textbf{Haiyong Zheng}, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. \emph{Automatic plankton image classification combining multiple view features via multiple kernel learning}. International Conference on Bioinformatics (InCoB), 2017, \textbf{Best Paper Awards of BMC Track [Gold]}.

\bibitem{wang2017cgan}
  Chao Wang, Zhibin Yu, \textbf{Haiyong Zheng*}, Nan Wang, Bing Zheng. \emph{CGAN-Plankton: Towards large-scale imbalanced class generation and fine-grained classification}. IEEE International Conference on Image Processing (ICIP), 2017, DOI: 10.1109/ICIP.2017.8296402.

\bibitem{jiang2017underwater}
  Shanchen Jiang, Fengna Sun, Zhaorui Gu, \textbf{Haiyong Zheng}, Wang Nan, Zhibin Yu*. \emph{Underwater 3D reconstruction based on laser line scanning}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084737.

\bibitem{sun2017practical}
  Fengna Sun, Jia Yu, Zhaorui Gu*, \textbf{Haiyong Zheng}, Nan Wang, Bing Zheng. \emph{A practical system of fish size measurement}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084879.

\bibitem{ma2017simulation}
  Li Ma, Min Fu*, Nan Wang, \textbf{Haiyong Zheng}, Zhibin Yu, Zhaorui Gu, Jia Yu, Bing Zheng, Xuefeng Liu. \emph{Simulation of stochastic resonance in underwater laser communication}. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084775.

\bibitem{dai2016hybrid}
  Jialun Dai, Zhibin Yu, \textbf{Haiyong Zheng*}, Bing Zheng, Nan Wang. \emph{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.

\bibitem{zheng2016registering}
  \textbf{Haiyong Zheng}, Lin Chang, Tengda Wei, Xinxin Qiu, Ping Lin, Yangfan Wang*. \emph{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, DOI: 10.1109/cvprw.2016.68.

\bibitem{dai2016zooplanktonet}
  Jialun Dai, Ruchen Wang, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{ZooplanktoNet: Deep convolutional network for zooplankton classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485680.

\bibitem{wang2016multi}
  Ruchen Wang, Jialun Dai, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{Multi features combination for automated zooplankton classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485675.

\bibitem{qiu2016automatic}
  Xinxin Qiu, Ning Tang, \textbf{Haiyong Zheng*}, Guangrong Ji, Xiaoyan Qiao. \emph{Automatic segmentation of Chaetoceros microscopic images via pixel-wise classification}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485603.

\bibitem{zhu2016automatic}
  Yafei Zhu, Lin Chang, Jialun Dai, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Automatic object detection and segmentation from underwater images via saliency-based region merging}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485598.

\bibitem{chang2016phytoplankton}
  Lin Chang, Ruchen Wang, \textbf{Haiyong Zheng*}, Jialun Dai, Bing Zheng. \emph{Phytoplankton feature extraction from microscopic images based on SURF-PCA}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485699.

\bibitem{li2016underwater}
  Zongying Li, Zhaorui Gu, \textbf{Haiyong Zheng}, Bing Zheng*, Jingpeng Liu. \emph{Underwater image sharpness assessment based on selective attenuation of color in the water}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485695.

\bibitem{gu2016automatic}
  Zhaorui Gu, Ruchen Wang, Jialun Dai, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Automatic searching of fish from underwater images via shape matching}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485597.

\bibitem{liu2016combining}
  Hongkun Liu, Jialun Dai, Ruchen Wang, \textbf{Haiyong Zheng*}, Bing Zheng. \emph{Combining background subtraction and three-frame difference to detect moving object from underwater video}. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485613.

\bibitem{zheng2015underwater}
  \textbf{Haiyong Zheng*}, Xue Sun, Bing Zheng, Rui Nian, Yangfan Wang. \emph{Underwater image segmentation via dark channel prior and multiscale hierarchical decomposition}. OCEANS MTS/IEEE Genova, 2015, DOI: 10.1109/OCEANS-Genova.2015.7271450.

\bibitem{chu2013salient}
  Jingjing Chu, Guangrong Ji, \textbf{Haiyong Zheng*}, Kun Yu, Hongguang Lu. \emph{Salient region detection for phytoplankton microscopic image}. SPIE Vol. 8878 ICDIP 2013, 88782Q, DOI: 10.1117/12.2030691.

\bibitem{lu2013ionogram}
  Hongguang Lu, Guangrong Ji, \textbf{Haiyong Zheng*}, Zhenwei Zhao, Shaohong He. \emph{Ionogram trace enhancement based on image pixel connectedness}. SPIE Vol. 8878 ICDIP 2013, 887809, DOI: 10.1117/12.2030690.

\bibitem{zheng2012image}
  \textbf{Haiyong Zheng*}, Bing Zheng, Guangrong Ji, ZhongwenGuo, Yuting Sun. \emph{Image enhancement of underwater target detection by inhomogeneous illumination}. OCEANS MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263374.

\bibitem{zheng2011harmful}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Bing Zheng, Hao Zhang, T. Aaron Gulliver. \emph{Harmful Algal Bloom recognition based on microscopic images}. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), 2011, DOI: 10.1109/PACRIM.2011.6033006.

\bibitem{zheng2010approach}
  \textbf{Haiyong Zheng*}, Guangrong Ji, Bing Zheng. \emph{An approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and PDE}. OCEANS IEEE Sydney, 2010, DOI: 10.1109/OCEANSSYD.2010.5603529.
\end{thebibliography}

\zhysubheading{\bf Doctoral Thesis}

\begin{thebibliography}{99}
\bibitem{zheng2009thesis}
  \textbf{Haiyong Zheng}. \emph{Researches on Microscopic Image Diagnosis of Harmful Algal Blooms Based on Biological Morphology}. College of Information Science and Engineering, Ocean University of China, Qingdao, China, 2009.
\end{thebibliography}

\zhysubheading{\bf Patents}

\begin{thebibliography}{99}
\bibitem{guo2021patent1}
  Zonghui Guo, \textbf{Haiyong Zheng}. \emph{An image harmonization system based on Transformer}. Application serial number: 202111067167.6. Application date: 13 September 2021.

\bibitem{guo2021patent2}
  Zonghui Guo, \textbf{Haiyong Zheng}. \emph{An image harmonization method and model}. Application serial number: 202110552384.8. Application date: 20 May 2021. Patent number: ZL 2021 1 0552384.8. Authorized announcement date: 17 January 2023.

\bibitem{shi2021patent}
  Zhensheng Shi, \textbf{Haiyong Zheng}. \emph{A multi-modal joint learning method for video multi-action recognition}. Application serial number: 202111143894.6. Application date: 28 September 2021. Patent number: ZL 2021 1 1143894.6. Authorized announcement date: 12 December 2023.

\bibitem{shi2020patent2}
  Zhensheng Shi, \textbf{Haiyong Zheng}. \emph{The modules and modeling method of collaborative ternary relations for video spatio-temporal representation learning}. Application serial number: 202010753532.8. Application date: 30 July 2020. Patent number: ZL 2020 1 0753532.8. Authorized announcement date: 24 November 2023.

\bibitem{guo2020patent}
  Dongsheng Guo, \textbf{Haiyong Zheng}, Haoru Zhao. \emph{A high-quality image extrapolation system based on spiral generative network}. Application serial number: 202010768731.6. Application date: 03 August 2020. Patent number: ZL 2020 1 0768731.6. Authorized announcement date: 22 March 2022.

\bibitem{shi2020patent1}
  Zhensheng Shi, \textbf{Haiyong Zheng}. \emph{A multi-group multi-attention modeling method for video spatio-temporal representation learning}. Application serial number: 202010987037.3. Application date: 18 September 2020. Patent number: ZL 2020 1 0987037.3. Authorized announcement date: 22 April 2022.

\bibitem{shi2019patent}
  Zhensheng Shi, \textbf{Haiyong Zheng}. \emph{Video action recognition method based on attention enhanced 3D spatial-temporal representation learning}. Application serial number: 201910721902.7. Application date: 06 August 2019. Patent number: ZL 2019 1 0721902.7. Authorized announcement date: 08 February 2022.

\bibitem{zheng2018patent4}
  \textbf{Haiyong Zheng}, Chenchen Qiu, Zhibin Yu. \emph{A fish image classification method based on deep convolutional neural network}. Application serial number: 201810984130.1. Application date: 28 August 2018. Patent number: ZL 2018 1 0984130.1. Authorized announcement date: 03 August 2021.

\bibitem{zheng2018patent3}
  \textbf{Haiyong Zheng}, Jing Liu, Angang Du, Zhibin Yu. \emph{The class-imbalanced image classification method based on deep convolutional neural network}. Application serial number: 201810866743.5. Application date: 01 August 2018.

\bibitem{zheng2018patent2}
  \textbf{Haiyong Zheng}, Chao Wang, Zhibin Yu. \emph{An image-to-image translation method based on discriminative region proposal adversarial network}. Application serial number: 201810820240.4. Application date: 24 July 2018.

\bibitem{zheng2018patent1}
  \textbf{Haiyong Zheng}, Ning Tang, Zhaorui Gu, Zhibin Yu, Bing Zheng. \emph{A Chaetoceros image segmentation method based on unsupervised pixel-wise classification}. Application serial number: 201810763944.2. Application date: 12 July 2018. Patent number: ZL 2018 1 0763944.2. Authorized announcement date: 02 November 2021.

\bibitem{zheng2016patent1}
  \textbf{Haiyong Zheng}, Chao Wang, Zhibin Yu, Jialun Dai, Bing Zheng. \emph{The plankton image classification method based on convolutional neural network fusing multiple features}. Application serial numbner: 201610912684.1. Application date: 20 October 2016. Patent number: ZL 2016 1 0912684.1. Authorized announcement date: 13 March 2020.

\bibitem{zheng2016patent2}
  Nan Wang, \textbf{Haiyong Zheng}, Bing Zheng, Jiankang Xu, Xiaohui Song, Hui Du, Xiaoyu Wang. \emph{The object detection system and method by imaging through turbid media based on logical stochastic resonance}. Application serial number: 201610913278.7. Application date: 20 October 2016. Patent number: ZL 2016 1 0913278.7. Authorized announcement date: 17 December 2019.

\bibitem{zheng2015patent1}
  \textbf{Haiyong Zheng}, Yafei Zhu, Hongmiao Zhao, Guangrong Ji. \emph{A salient object detection method based on amplitude spectrum analysis}. Application serial number: 201510271210.9. Application date: 25 May 2015. Patent number: ZL 2015 1 0271210.9. Authorized announcement date: 19 October 2018.

\bibitem{zheng2015patent2}
  \textbf{Haiyong Zheng}, Xiaoqing Sun, Hongguang Lu, Shaohong He, Guangrong Ji. \emph{An automatic scaling method of E region traces from vertical sounding ionogram based on image processing}. Application serial number: 201510271515.X. Application date: 25 May 2015.  Patent number: ZL 2015 1 0271515.X. Authorized announcement date: 7 May 2019.

\bibitem{zheng2012patent}
  \textbf{Haiyong Zheng}, Guangrong Ji, Guoyu Wang, Zhigang Yu, Tiezhu Mi. \emph{An automatic classification method for Chaetoceros and non-setae species based on microscopic images}. Application serial number: 201210105858.5. Application date: 12 April 2012.

\bibitem{ji2010patent1}
  Guangrong Ji, \textbf{Haiyong Zheng}, Hao Zhang, Guoyu Wang, Zhigang Yu. \emph{A cell extraction method from Chaetoceros microscopic images}. Patent number: ZL 201010115606.1. Authorized announcement date: 4 January 2012.

\bibitem{ji2010patent2}
  Guangrong Ji, \textbf{Haiyong Zheng}, Hao Zhang, Guoyu Wang, Zhigang Yu. \emph{A cell extraction method from microscopic images of non-setae phytoplankton species}. Application serial number: 201010115592.3. Application date: 2 March 2010.
\end{thebibliography}

\end{document}
