俞智斌

俞智斌，男，博士，中國海洋大學信息科學與工程學院副教授，碩士生導師。

基本介紹

• 中文名：俞智斌
• 學位/學歷：博士
• 職業：教師
• 專業方向：人工智慧以及其在海洋方面的套用
• 任職院校：中國海洋大學信息科學與工程學院

主講課程

高級語言程式設計（本科生秋季課程）

面向對象程式設計（本科生春季課程）

程式設計實踐（本科生夏季課程）

文獻閱讀與綜述（本科生秋季課程）

人工智慧導論（研究生課程）

教育及工作經歷Education and Work Experience

個人經歷

教育經歷：2011年3月~ 2016年2月: 慶北國立大學電子電器計算機學院電子工學部，工學博士，研究方向：人工神經網路及其套用2009年3月~ 2011年2月: 慶北國立大學電子電器計算機學院計算機工學部，工學碩士，研究方向：機器學習及其套用2001年9月~ 2005年6月：哈爾濱工業大學熱能與動力工程|工學學士工作經歷：2016年4月~ 現在: 中國海洋大學信息科學與工程學院電子系，講師，研究方向：人工神經網路在水下視覺方面的套用學術兼職：擔任Journal Reviews,IEEE Trans. On Neural Networks and Learning Systems, Neural Networks,Neurocomputing, Neural Processing Letters, Computer Vision and Image Understanding審稿人

研究方向

主要關注人工智慧以及其在海洋方面的套用研究項目Research Project在研主要項目：

1、基於對抗生成技術的水產原位檢測系統研發，山東省重點研發計畫（公益類），負責人，2019.01-2020.12 總費用15萬元批准號：2019GHY1120412、基於深度學習和雙目視覺的深度圖像估計及水下圖像復原，國家科學自然基金青年基金項目，負責人，2018.01-2020.12 直接經費27.5萬元批准號：61701463已完成主要項目：1、基於深度學習和雙目水下RGB圖像的深度圖像估計及圖像復原套用，山東省博士基金，負責人，2017.09-2019.08 總費用9萬元批准號：ZR2017021500292、基於水下多元圖像和深度學習的水體光學參數反演及套用，中央高校基本科研業務費，負責人，2016.10-2018.08 直接經費10萬元批准號：2017130193、基於對抗生成網路的水下圖像生成及套用，國家博士後基金項目，負責人，2018.01-2018.06 直接經費5萬元批准號：2017M622277

學術成果

論文專利Publications and Patents論文：期刊論文Journal Papers2020Yan Zhao,Ziqiang Zheng,Chao Wang,Zhaorui Gu,Min Fu,Zhibin Yu(*),Haiyong Zheng,Nan Wang,Bing Zheng, Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework,Multimedia Tools and Applications, DOI: s11042-019-08346-x（ISAIR 2019 Best Student paper）2019

Chao Wang, Wenjie Niu, Yufeng Jiang, Haiyong Zheng(*), Zhibin Yu(*), Zhaorui Gu, Bing Zheng, Discriminative Region Proposal Adversarial Network for High-Quality Image-to-Image Translation, International Journal of Computer Vision (2019), DOI:10.1007/s11263-019-01273-2Peng Liu, Guoyu Wang, Hao Qi, Chufeng Zhang, Haiyong Zheng, Zhibin Yu (*), Underwater Image Enhancement With a Deep Residual Framework,IEEE Access, DOI: 10.1109/ACCESS.2019.2928976Jingyu Lu, Na Li, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Multi-scale adversarial networkfor underwater image restoration, Optics & Laser Technology, Volume 110, 2019.02, Pages 105-113, DOI:10.1016/j.optlastec.2018.05.0482018Chenchen Qiu, Shaoyong Zhang, Chao Wang, Zhibin Yu, Haiyong Zheng(*), Bing Zhenga. Improving Transfer Learning and Squeeze-and-Excitation Networks for Small-scale Fine-grained Fish Image Classification, IEEE Access, DOI: 10.1109/ACCESS.2018.2885055Shaoyong Zhang, Na Li, Chenchen Qiu, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Depth map prediction from a single image with generative adversarial nets, Multimedia Tools and Applications, DOI: 10.1007/s11042-018-6694-xNa Li, Ziqiang Zheng, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng(*), Bing Zheng, The Synthesis of Unpaired Underwater Images Using a Multistyle Generative Adversarial Network, IEEE Access, 2018, 11:54241-54257, DOI:10.1109/ACCESS.2018.2870854Ziqiang Zheng , Chao Wang , Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Instance Map Based Image Synthesis With a Denoising Generative Adversarial Network, IEEE Access, 2018, 6 :33654-33665, DOI:10.1109/ACCESS.2018.2849108Jingyu Lu, Na Li, Shaoyong Zhang, Zhibin Yu(*), Haiyong Zheng, Bing Zheng, Multi-scale adversarial network for underwater image restoration, Optics & Laser Technology, Volume 110, 2019.02, Pages 105-113, DOI:10.1016/j.optlastec.2018.05.0482017Zhibin Yu, Yubo Wang, Bing Zheng(*), Haiyong Zheng, Nan Wang, and Zhaorui Gu, Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network, Computational Intelligence and Neuroscience, Volume 2017 (2017), Article ID 8351232, DOI:10.1155/2017/8351232

Zhibin Yu, Dennis S. Moirangthem, Minho Lee(*). Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding. Frontiers in Neurorobotics, 2017.08 DOI: 10.3389/fnbot.2017.00042Sangwook Kim, Zhibin Yu, Minho Lee(*). Understanding human intention by connecting perception and action learning in artificialagents. Neural Networks, 2017.02 DOI: 10.1016/j.neunet.2017.01.0092016Bing Zheng, Nan Wang(*), Haiyong Zheng, Zhibin Yu, and Jinpeng Wang. Object extraction from underwater images through logical stochastic resonance. Optics Letters, 2016.11 DOI: 10.1364/OL.41.0049672015Zhibin Yu and Minho Lee(*). Human Motion Based Intent Recognition Using a Deep Dynamic Neural Model. Robotics and Autonomous System, 2015.09 DOI: 10.1016/j.robot.2015.01.001Zhibin Yu, Minho Lee(*). Real-Time Human Action Classification Using a Supervised Dynamic Neural Model. Neural Networks, 2015.09 DOI:10.1016/j.neunet.2015.04.013Sangwook Kim, Zhibin Yu, Rhee Man Kil and Minho Lee(*), Deep Learning of Support Vector Machines with Class Probability Output Networks, Neural Networks, 2015.04 DOI:10.1016/j.neunet.2014.09.007會議論文Conference Papers2018Hao Ding, 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.2018.8559238Chao Wang, Xueer Zheng, Chunfeng Guo, Zhibin Yu, Jia Yu, Haiyong Zheng(*), Bing Zheng, Transferred Parallel Convolutional Neural Network for Large Imbalanced Plankton Database Classification, 2018 OCEANS -MTS/IEEE Kobe Techno-Oceans (OTO), DOI: 10.1109/OCEANSKOBE.2018.8558836Jinna Cui, Bin Wei, Chao Wang,Zhibin Yu, Haiyong Zheng(*), Bing Zheng, Hua Yang, Texture and Shape Information Fusion of Convolutional Neural Network for Plankton Image

Classification, 2018 OCEANS -MTS/IEEE Kobe Techno-Oceans (OTO), DOI: 10.1109/OCEANSKOBE.2018.8559156Jing Liu, 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.2018.8559106Ziqiang Zheng, Chunfeng Guo, Xueer Zheng, Zhibin Yu(*), Weiwei Wang, Haiyong Zheng, Min Fu,Bing Zheng, Fish Recognition from a Vessel Camera Using Deep Convolutional Neural Network and Data Augmentation, 2018 OCEANS -MTS/IEEE Kobe Techno-Oceans (OTO). DOI: 10.1109/OCEANSKOBE.2018.85593142017Shanchen Jiang, 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.2017.8084737Li Ma, Min Fu, Nan Wang, Haiyong Zheng(*), Zhibin Yu, Zhaorui Gu, Jia Yu; Bing Zheng; Xuefeng Liu，Simulation of stochastic resonance in underwater laser communication, OCEANS 2017, Aberdee, United Kingdom, 2017.6, DOI: 10.1109/OCEANSE.2017.80847372015Zhibin Yu, Sangwook Kim, and Minho Lee(*), Human Intention Understanding Based On Object Affordance and Action Classification. IJCNN 2015 DOI:10.1109/IJCNN.2015.7280587Zhibin Yu, Rammohan Mallipeddi, Minho Lee(*), A fast training algorithm of multiple-timescale recurrent neural network for agent motion generation, 3rd International Conference on Human-Agent Interaction, HAI 2015, Daegu, Republic of Korea, 2015.10. DOI:10.1145/2814940.2814986Sangwook Kim, Zhibin Yu, Jonghong Kim, Amitash Ojha, Minho Lee(*), Human-robot interaction using intention recognition, 3rd International Conference on Human-Agent Interaction, HAI 2015, Daegu, Republic of Korea, 2015.10 DOI:10.1145/2814940.28150022013Zhibin Yu, Rammohan Mallipeddi and Minho Lee(*), Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification, 20th International Conference on Neural Information Processing, ICONIP 2013, Republic of Korea, 2013.11:10.1007/978-3-642-42042-9_25

Jihun Kim, Sungmoon Jeong, Zhibin Yu, Minho Lee(*), Multiple timescale recurrent neural 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_41Zhibin Yu and Minho Lee(*), Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network With a Deep Network Model,Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, Hefei, China, 2013.10.22 DOI:10.1007/978-3-642-41278-3_15