基本信息
·所在系(中心)：电子工程系 俞智斌
·学历：博士 Yu Zhibin
·职称：副教授，硕士生导师
·政治面貌：群众
·邮件地址：yuzhibin@ouc.edu.cn
·办公电话：0532-**
·办公室：山东省青岛市松岭路 238 号中国海洋大学(崂山校区)信息科学与工程学院北楼B501
课程介绍
高级语言程序设计（本科生秋季课程） 面向对象程序设计（本科生春季课程）程序设计实践（本科生夏季课程）
文献阅读与综述（本科生秋季课程）人工智能导论（研究生课程）
教育及工作经历
教育经历：
2011 年 3 月~ 2016 年 2 月: 庆北国立大学电子电器计算机学院电子工学部，工学博士，研究方向：人工神经网络及其应用
2009 年 3 月~ 2011 年 2 月: 庆北国立大学电子电器计算机学院计算机工学部， 工学硕士，研究方向：机器学习及其应用
2001年 9 月~ 2005 年 6 月：哈尔滨工业大学热能与动力工程|工学学士
工作经历：
2016 年 4 月~ 现在: 中国海洋大学信息科学与工程学院电子系，讲师，研究方向：人工神经网络在水下视觉方面的应用
学术兼职：
担 任 JournalReviews, IEEE Trans. On Neural Networks and Learning Systems, Neural Networks,Neurocomputing, Neural Processing Letters,
ComputerVision and Image Understanding 审稿人
研究方向
主要关注人工智能以及其在海洋方面的应用
研究项目
在研主要项目：
1、基于对抗生成技术的水产原位检测系统研发，山东省重点研发计划（公益类，负责人，2019.01-2020.12 总费用 15 万元 批准号：2019GHY112041
2、基于深度学习和双目视觉的深度图像估计及水下图像复原，国家科学自然基金青年基金项目，负责人，2018.01-2020.12直接经费 27.5 万元 批准号： **
已完成主要项目：
1、基于深度学习和双目水下 RGB 图像的深度图像估计及图像复原应用，山东省博 士 基 金 ， 负 责 人 ，2017.09-2019.08 总 费 用 9 万 元批 准 号 ： ZR**0029
2、基于水下多元图像和深度学习的水体光学参数反演及应用，中央高校基本科研业务费，负责人，2016.10-2018.08直接经费 10 万元 批准号：**9
3、基于对抗生成网络的水下图像生成及应用，国家博士后基金项目，负责人，
2018.01-2018.06 直接经费 5 万元 批准号：2017M622277
论文专利
论文：
期刊论文 Journal Papers
2020
YanZhao,Ziqiang Zheng,Chao Wang,Zhaorui Gu,Min Fu,Zhibin Yu(*),Haiyong Zheng,NanWang,Bing Zheng, Fine-grained facial image-to-image translation with anattention based pipeline generative adversarial framework,Multimedia Tools andApplications, DOI: s11042- 019-08346-x （ISAIR 2019 Best Student paper）
2019
ChaoWang, Wenjie Niu, Yufeng Jiang, Haiyong Zheng(*), Zhibin Yu(*), Zhaorui Gu,Bing Zheng, Discriminative Region Proposal Adversarial Network for High-QualityImage-to-Image Translation, International Journal of Computer Vision (2019),DOI:10.1007/s11263-019-01273- 2
PengLiu, Guoyu Wang, Hao Qi, Chufeng Zhang, Haiyong Zheng, Zhibin Yu (*),Underwater Image Enhancement With a Deep Residual Framework,IEEE Access, DOI:10.1109/ACCESS.2019.**
JingyuLu, Na Li, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Multi-scaleadversarial network for underwater image restoration, Optics & LaserTechnology, Volume 110, 2019.02, Pages 105-113,DOI:10.1016/j.optlastec.2018.05.048
2018
Chenchen Qiu, Shaoyong Zhang,Chao Wang, Zhibin Yu, Haiyong Zheng(*), Bing Zhenga. Improving TransferLearning and Squeeze-and-Excitation Networks for Small-scale Fine- grained FishImage Classification, IEEE Access, DOI: 10.1109/ACCESS.2018.**
ShaoyongZhang, Na Li, Chenchen Qiu, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Depth mapprediction from a single image with generative adversarial nets, Multimedia Toolsand Applications, DOI: 10.1007/s11042-018-6694-x
NaLi, Ziqiang Zheng, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng(*), Bing Zheng,The Synthesis of Unpaired Underwater Images Using a Multistyle GenerativeAdversarial Network, IEEE Access, 2018, 11:54241-54257,DOI:10.1109/ACCESS.2018.**
ZiqiangZheng , Chao Wang , Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Instance Map BasedImage Synthesis With a Denoising Generative Adversarial Network, IEEE Access,2018,
6 :33654-33665, DOI:10.1109/ACCESS.2018.**
JingyuLu, Na Li, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Multi-scaleadversarial network for underwater image restoration, Optics & LaserTechnology, Volume 110, 2019.02, Pages 105-113,DOI:10.1016/j.optlastec.2018.05.048
2017
ZhibinYu, Yubo Wang, Bing Zheng(*), Haiyong Zheng, Nan Wang, and Zhaorui Gu,Underwater Inherent Optical Properties Estimation Using a Depth Aided DeepNeural Network, Computational Intelligence and Neuroscience, Volume 2017(2017), Article ID **, DOI:10.1155/2017/**
ZhibinYu, Dennis S. Moirangthem, Minho Lee(*). Continuous Timescale Long-Short TermMemory Neural Network for Human Intent Understanding. Frontiers inNeurorobotics, 2017.08 DOI: 10.3389/fnbot.2017.00042
SangwookKim, Zhibin Yu, Minho Lee(*). Understanding human intention by connectingperception and action learning in artificialagents. Neural Networks, 2017.02DOI: 10.1016/j.neunet.2017.01.009
2016
Bing Zheng, Nan Wang(*),Haiyong Zheng, Zhibin Yu, and Jinpeng Wang. Object extraction from underwaterimages through logical stochastic resonance. Optics Letters, 2016.11 DOI:10.1364/OL.41.004967
2015
ZhibinYu and Minho Lee(*). Human Motion Based Intent Recognition Using a Deep DynamicNeural Model. Robotics and Autonomous System, 2015.09 DOI:10.1016/j.robot.2015.01.001
ZhibinYu, Minho Lee(*). Real-Time Human Action Classification Using a SupervisedDynamic Neural Model. Neural Networks, 2015.09 DOI:10.1016/j.neunet.2015.04.013
SangwookKim, Zhibin Yu, Rhee Man Kil and Minho Lee(*), Deep Learning of Support VectorMachines with Class Probability Output Networks, Neural Networks, 2015.04DOI:10.1016/j.neunet.2014.09.007
会议论文Conference Papers 2018
HaoDing, Bin Wei, Ning Tang, Zhibin Yu, Nan Wang, Haiyong Zheng(*), Bing Zheng,Plankton Image Classification via Multi-Class Imbalanced Learning, 2018 OCEANS- MTS/IEEE Kobe Techno-Oceans (OTO), DOI: 10.1109/OCEANSKOBE.2018.**
Chao Wang, Xueer Zheng, Chunfeng Guo, Zhibin Yu, Jia Yu, HaiyongZheng(*), Bing Zheng, Transferred Parallel Convolutional Neural Network forLarge Imbalanced Plankton Database Classification, 2018 OCEANS - MTS/IEEE KobeTechno-Oceans (OTO), DOI: 10.1109/OCEANSKOBE.2018.**
Jinna Cui, Bin Wei, ChaoWang, Zhibin Yu, Haiyong Zheng(*), Bing Zheng, Hua Yang, Texture and ShapeInformation Fusion of Convolutional Neural Network for Plankton Image
Classification,2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), DOI:10.1109/OCEANSKOBE.2018.**
JingLiu, Angang Du, Chao Wang, Zhibin Yu, Haiyong Zheng(*), Bing Zheng, Hao Zhang,Deep Pyramidal Residual Networks for Plankton Image Classification, 2018 OCEANS- MTS/IEEE Kobe Techno-Oceans (OTO),DOI: 10.1109/OCEANSKOBE.2018.**
ZiqiangZheng, Chunfeng Guo, Xueer Zheng, Zhibin Yu(*), Weiwei Wang, Haiyong Zheng, MinFu,Bing Zheng, Fish Recognition from a Vessel Camera Using Deep ConvolutionalNeural Network and Data Augmentation, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans(OTO).
DOI: 10.1109/OCEANSKOBE.2018.**
2017
ShanchenJiang, Fengna Sun, Zhaorui Gu, Haiyong Zheng, Wang Nan, Zhibin Yu(*),Underwater 3D reconstruction based on laser line scanning, OCEANS 2017,Aberdee, United Kingdom, 2017.6, DOI: 10.1109/OCEANSE.2017.**
LiMa, Min Fu, Nan Wang, Haiyong Zheng(*), Zhibin Yu, Zhaorui Gu, Jia Yu; BingZheng; Xuefeng Liu，Simulation of stochastic resonance in underwater lasercommunication, OCEANS 2017, Aberdee, United Kingdom, 2017.6, DOI:10.1109/OCEANSE.2017.**
2015
ZhibinYu, Sangwook Kim, and Minho Lee(*), Human Intention Understanding Based OnObject Affordance and Action Classification. IJCNN 2015DOI:10.1109/IJCNN.2015.**
ZhibinYu, Rammohan Mallipeddi, Minho Lee(*), A fast training algorithm of multiple-timescale recurrent neural network for agent motion generation, 3rdInternational Conference on Human-Agent Interaction, HAI 2015, Daegu, Republicof Korea, 2015.10. DOI:10.1145/**.**
SangwookKim, Zhibin Yu, Jonghong Kim, Amitash Ojha, Minho Lee(*), Human-robotinteraction using intention recognition, 3rd International Conference onHuman-Agent Interaction, HAI 2015, Daegu, Republic of Korea, 2015.10DOI:10.1145/**.**
2013
ZhibinYu, Rammohan Mallipeddi and Minho Lee(*), Supervised Multiple TimescaleRecurrent Neuron Network Model for Human Action Classification, 20thInternational Conference on Neural Information Processing, ICONIP 2013,Republic of Korea, 2013.11:10.1007/978-3-642- 42042-9_25
JihunKim, Sungmoon Jeong, Zhibin Yu, Minho Lee(*), Multiple timescale recurrentneural network with slow feature analysis for efficient motion recognition,20th International Conference on Neural Information Processing, ICONIP 2013,Republic of Korea, 2013.11 DOI:10.1007/978-3-642-42042-9_41
ZhibinYu and Minho Lee(*), Continuous Motion Recognition Using Multiple Time ConstantRecurrent Neural Network With a Deep Network Model,Conference on IntelligentData Engineering and Automated Learning, IDEAL 2013, Hefei, China, 2013.10.22DOI:10.1007/978- 3-642-41278-3_15
研究生招生条件
Postgraduate AdmissionRequirements
硕士研究生招生：
欢迎对C\C++,python 编程熟悉，数学、英语能力良好的同学加入！ 毕业生/在读生情况介绍：
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个人主页：http://underwaterai.cn/
