王楠，副教授，硕导，电子工程系，信息科学与工程学院，中国海洋大学
CV FOR ENGLISH

研究兴趣 INTEREST

信号处理，水下探测技术

教育经历 EDUCATION

  • 2012.03 - 2015.06, 博士研究生，仪器科学与技术，东南大学，南京
  • 2009.08 - 2012.03, 硕士研究生，仪器科学与技术，东南大学，南京
  • 2005.08 - 2019.06, 本科，测控技术与仪器，东南大学，南京

工作经历 WORK

  • 2019.01 - now, 副教授，电子工程系，信息科学与工程学院，中国海洋大学
  • 2015.12 -2018.12 , 讲师，电子工程系，信息科学与工程学院，中国海洋大学

代表性著作 SELECTIVE PUBLICATIONS

  • [1] Nan Wang, Jia Yu, Biao Yang, Haiyong Zheng, Bing Zheng. Vision-based in situ monitoring of plankton size spectra via a convolutional neural network. IEEE Journal of Oceanic Engineering, 2019.【impact factor:2.435,二区】 pdf
  • [2] Nan Wang, Bing Zheng, Haiyong Zheng, and Biao Yang. When underwater degraded images meet logical stochastic resonance. Nonlinear Dynamics, 2018,1-11.【impact factor:4.339,一区】pdf
  • [3] Nan Wang, Haiyong Zheng, and Bing Zheng. Underwater image restoration via maximum attenuation identification. IEEE Access,2017,5:18941-18952.【impact factor:3.557,二区】pdf
  • [4] Nan Wang, Bing Zheng, Haiyong Zheng, Zhibin Yu.Feeble object detection of underwater images through LSR with delay loop. Optics Express,2017,25(19)【impact factor:3.307,二区】pdf
  • [5] Nan Wang, Aiguo Song, Biao Yang.The effect of time-delayed feedback on logical stochastic resonance.The European Physical Journal B, 2017, 90: 117 DOI: 10.1140/epjb/e2017-80150-4【impact factor:1.223,三区】pdf
  • [6] Bing Zheng, Nan Wang*, Haiyong Zheng, Zhibin Yu, Jinpeng Wang. Object extraction from underwater images through logical stochastic resonance. Optics Letters, 2016, 41(21): 4967-4970.【impact factor:3.040,二区】pdf
  • [7] Nan Wang, and Aiguo Song. Enhanced Logical Stochastic Resonance in Synthetic Genetic Networks. IEEE Transactions on Neural Networks & Learning Systems, 2016,27(12):2736–2739.【impact factor:7.982,一区】pdf
  • [8] Nan Wang, and Aiguo Song. Parameter-induced logical stochastic resonance. Neurocomputing, 2015,155:80–83.【impact factor:2.392,二区】pdf
  • [9] Nan Wang, and Aiguo Song. Set–Reset latch logical operation induced by colored noise. Physics Letters A, 2014,378:1588-1592.【impact factor:1.677,三区】pdf
  • [10] Nan Wang, and Aiguo Song. Logical stochastic resonance in bistable system under α-stable noise. The European Physical Journal B, 2014,87(5):1-7.【impact factor:1.223,三区】pdf

see more…
> Yang B, Cao J, Wang N, et al., Anomalous behaviors detection in moving crowds based on a weighted convolutional autoencoder-long short-term memory network, IEEE Transactions on Cognitive and Developmental Systems,2018,[e-print].
> Yang B, Cao J, Liu X, Wang N,et al., Edge computing-based real-time passenger counting using a compact convolutional neural network, Neural Computing and Applications, 1-13,2018,[e-print].
> Shuxin Shen ; Shengming Bai ; Jiankang Xu ; Nan Wang, EMG-Controlled Force Feedback Underwater Manipulator, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018.
> Xu J, Wang N, Optimization of ROV Control Based on Genetic Algorithm,2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018.
> Song X, Wang N, Target Following System for Remotely Operated Vehicles Based on Monocular Vision, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018.
> Yang B, Cao J, Wang N, et al.,Cross-scene counting based on domain adaptation -extreme learning machine. IEEE Access, 2018:1-1.
> Yang B, Cao J, Wang N, et al., Counting challenging crowds robustly using a multi-column multi-task convolutional neural network[J]. Signal Processing: Image Communication, 2018:S0923596518302194.
> Zheng H, Wang N, Yu Z, et al., 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.
>* Wu C, Song A, Ling Y, Wang N, et al., A Control Strategy with Tactile Perception Feedback for EMG Prosthetic Hand,” Journal of Sensors, 2015, 2015. https://doi.org/10.1155/2015/869175.

科研项目 FUNDING

在研

  • 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，No.61703381，负责人。
  • 重度雾霾环境下基于逻辑随机共振的远距离目标探测研究,山东省自然科学基金，No.ZR201702170374，负责人。
  • 基于光场计算成像的水下前向散射噪声的去躁问题研究，国家自然科学基金，No. 61705210，参与。
  • 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，国家自然科学基金，No.61701463，参与。
  • 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，No.41776113, 参与。
  • 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, No.17-1-1-5-jch, 参与。

结题

  • 基于逻辑随机共振的浑浊介质成像目标探测,中国博士后基金一等资助(China Postdoctoral Science Foundation), No. 2016M590658，负责人，[结题]
  • 基于噪声增强的浑浊介质成像中弱目标检测与提取,中国海洋大学青年教师科研专项基金，负责人，[结题]

专利 PATENTS

  • 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，实审
  • 基于逻辑随机共振的水下弱目标检测系统及其方法，申请号：201710232537.4，实审
  • 浮游生物粒径谱检测系统及其方法，申请号：201710232539.3，实审
  • 水下原位图像复原系统及其方法，申请号：201710232853.1
  • 基于单目视觉的水下机器人目标跟随系统及其方法，申请号：201810178492.1
  • 一种多尺度浮游生物检测镜头自动变倍装置及其使用方法，申请号：