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个人简介

教育与研究经历 [1] 2020.01 - 至今,海南大学,信息与通信工程学院,教授, 博导; [2] 2014.12 - 2019.12,海南大学,信息科学技术学院,副教授; [3] 2009.04 - 2014.11,海南大学,信息科学技术学院,助教、讲师; [4] 2005.07 - 2009.03,先后在宁波波导股份研究院、中兴通讯南京研究所、上海澳讯信息技术有限公司从事多年功能机和智能手机上的应用模块、协议栈和底层驱动等方面的研发工作。分别任工程师、高级工程师、软件部部长。 [1] 2014.09 - 2019.06,海南大学,信息与通信工程专业,研究生、博士,导师:白勇教授; [2] 2002.09 - 2005.07,吉林大学,计算机软件与理论专业,研究生、硕士,导师:付宏教授; [3] 1998.09 - 2002.07,吉林大学,生物与农业工程,本科、学士。

研究领域

主要研究方向:人工智能、信号与信息处理; 主要工程应用领域:物联网与智慧农业、海洋信息感知与处理、计算机视觉与图像处理、机器人智能应用、移动通信。

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Zijie Chen, Zhuhua Hu*, Lewei Xu, Yaochi Zhao*, Xiaoyi Zhou, DA-Bi-SRU for Water Quality Prediction in Smart Mariculture [J], Computers and Electronics in Agriculture, 2022. Yu, Chuang; Liu, yunpeng*; Li, Chenxi; Qi, Lin; Xia, Xin; Liu, Tianci; Hu, Zhuhua, Multi-branch Feature Difference Learning Network for Cross-Spectral Image Patch Matching[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022. Chuang Yu, Yunpeng Liu, Shuhang Wu, Xin Xia, Zhuhua Hu, Deyan Lan and Xin Liu, Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022. Yu, Chuang; Liu, yunpeng; Xia, Xin*; Hu, Zhuhua*; Fu, Shengpeng. Precise segmentation of remote sensing cage images based on SegNet and voting mechanism[J],Applied Engineering in Agriculture, 2022. Chuang Yu, Yunpeng Liu*, Zhuhua Hu, Xin Xia. Precise segmentation and measurement of inclined fish’s features based on U-net and fish morphological characteristics[J]. Applied Engineering in Agriculture, 2022, 38(1): 37-48. Kejia Huo, Zhuhua Hu*, Dake Liu*. Design and Implementation of Shared Memory for Turbo and LDPC Code Interleaver[J], Wireless Communications and Mobile Computing, 2022. Yu Chuang, Liu Yunpeng*,Wu Shuhang, Hu Zhuhua, Xia Xin, Lan Deyan, Liu Xin. Infrared Small Target Detection Based on Multiscale Local Contrast Learning Networks[J]. Infrared Physics & Technology, 2022: 104107. Yaochi Zhao, Shiguang Liu*, Zhuhua Hu*. Focal learning on stranger for imbalanced image segmentation[J]. IET Image Processing, 2022, 16(5): 1305-1323. Yun Chu, Pu Li, Yong Bai*, Zhuhua Hu, Yongqing Chen, Jiafeng Lu, Group channel pruning and spatial attention distilling for object detection[J]. Applied Intelligence, 2022. Yaochi Zhao, Shiguang Liu*, Zhuhua Hu. Dynamically balancing class losses in imbalanced deep learning[J]. Electronics Letters, 2022, 58(5): 203-206. Yu C, Liu Y*, Hu Z, et al. Precise segmentation and measurement of inclined fish's features based on U-net and fish morphological characteristics [J]. Applied Engineering in Agriculture, 2021: 0. Yuexin Fu, Zhuhua Hu*, Yaochi Zhao, Mengxing Huang. A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture[J]. Water, 2021, 13(20): 2907. Chuang Yu, Zhuhua Hu*, Bing Han, Peng Wang, Yaochi Zhao*, Huaming Wu. Intelligent Measurement of Morphological Characteristics of Fish Using Improved U-net [J]. Electronics, 2021, 10(12), 1426. Xie X, Hu Z*, Chen M, et al. An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain[J]. Electronics, 2021, 10(11): 1346. C. Yu, Z. Hu*, R. Li, X. Xia, Y. Zhao*, X. Fan, Y. Bai, Segmentation and Density Statistics of Mariculture Cages from Remote Sensing Images Using Mask R-CNN [J], Information Processing in Agriculture (2021), doi: https://doi.org/10.1016/j.inpa.2021.04.013 Xiaokang Xiong, Yuhang Dai, Zhuhua Hu*, Kejia Huo, Yong Bai*, Dake Liu. Hardware Sharing for Channel Interleavers in 5G NR Standard [J], Security and Communication Networks, 2021. Zhuhua Hu, Ruoqing Li, Xin Xia, Chuang Yu, Xiang Fan, Yaochi Zhao*. A method overview in smart aquaculture [J]. Environmental Monitoring and Assessment, vol.192 (8): 493, 2020. https://doi.org/10.1007/s10661-020-08409-9 Mingshan Xie, Yong Bai*, Mengxing Huang,Yanfang Deng, and Zhuhua Hu. Energy-and-Time-Aware Data Acquisition for Mobile Robots Using Mixed Cognition Particle Swarm Optimization [J]. IEEE Internet of Things Journal, 2020. Juntao Liu, Chuang Yu,Zhuhua Hu*, Yaochi Zhao, Yong Bai, Mingshan Xie, Jian Luo, Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network [J], IEEE Access, vol. 8, pp. 24784-24798, 2020. Yaochi Zhao, Shiguang Liu*,Zhuhua Hu, Yong Bai, Chong Shen, Xuequn Shi. Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores[J]. Computers and Electronics in Agriculture, vol. 169: 105230, 2020.

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