顾国生 副教授

作者: 时间:2023-02-24 点击数:

所属学院:计算机学院

导师类别:硕士生导师

科研方向:图像处理、模式识别、生物信息处理

联系方式:gsgu@gdut.edu.cn

硕士招生学院:计算机学院

个人简述

(限300字)

顾国生,博士,副教授,硕士生导师,网络空间安全系副主任。2007年获华南理工大学计算机应用技术专业博士学位。主要研究方向为图像处理、机器学习、生物信息处理。发表论文30篇,申请发明专利8项。主持省部级项目多项,获省部级奖项3项。

教育背景

2004/09 – 2007/07,华南理工大学,计算机应用技术,博士。

2001/09 – 2004/07,华南师范大学,应用数学,硕士。

1997/09 – 2001/07,华南师范大学,基础数学,学士。

工作经历

2007/07 – 现在,广东工业大学,计算机学院,副教授。

主要论文

[1]GuoshengGu,ShaoweiGan, Jiehang Deng*, et al. Automated diatom detection in forensic drowning diagnosis using a single shot multibox detector with plump receptive field. Applied Soft Computing, 2022:108885.

[2]GuoshengGu, Huihong Lu, Jiehang Deng*, et al. A synergetic image encryption method based on discrete fractional random transform and chaotic maps. Multimedia Tools and Applications, June 2022: 1-25.

[3]Guosheng Gu,Jie Ling,Guobo Xie, ZhengLi.A chaotic-cipher-based packet body encryption algorithm for JPEG2000images.Signal Processing: Image Communication,2016, 40: 52-64.

[4]Guosheng Gu, Jie Ling.A fast image encryption method by using chaotic 3D cat maps,Optik - International Journal for Light and Electron Optics, 2014, 125(17): 4700-4705.

[5]Guosheng Gu, Jie Ling, Guobo Xie, Yuyi Ou.A chaotic image encryption algorithm based on a dynamical feedback operation,Advanced Materials Research, Materials Science, Computer and Information Technology.2014, 989: 3561-3566.

[6]Guosheng Gu, Jie Ling, Learning to Observation Matrices of Compressive Sensing, Advances in Intelligent and Soft Computing, 2012, 169: 313-318.

[7]GuoBo Xie, RuiBin Chen, ZhiYi Lin*,Guosheng Gu*, JunRui Yu, Zhenguo Liu, Ji Cui, Lieqing Lin, Langcheng Chen.Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation. Briefings in Bioinformatics, 2023, 24(1): bbac595.

[8]Jiehang Deng, Haomin Wei, Zhenxiang Lai,Guosheng Gu*, Zhiqiang Chen, Leo Chen, Lei Ding. Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment. Journal of Computing and Information Science in Engineering, 2023, 23(1): 010201.

[9]Jiehan Deng, Haomin Chen, Zhongming Yuan,Guosheng Gu*, Shihe Xu, Shaowei Weng, Hao Wang. An enhanced image quality assessment by synergizing superpixels and visual saliency. Journal of Visual Communication and Image Representation, 2022, 88: 103610.

[10]Jiehang Deng, Wenquan Guo, Youwei Zhao, Jingjian Liu, Runhao Lai,Guosheng Gu*, et al. Identification of diatom taxonomy by a combination of region-based full convolutional network, online hard example mining, and shape priors of diatoms. International Journal of Legal Medicine, 2021, 135: 1-12.

[11]Jiehang Deng, HaominWei,Dongdong He,GuoshengGu*, et al. A coarse to fine framework for recognizing and locating multiple diatoms with highly complex backgrounds in forensic investigation. Multimedia Tools and Applications, 2021, 81: 4839-4857.

[12]Guobo Xie,JianmingLi,Guosheng Gu*, et al. BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug-disease association prediction.MOLECULAR OMICS, 2021, 17(6): 997-1011.

[13]Guobo Xie, Changhai Wu,Guosheng Gu*, et al. HAUBRW: Hybrid algorithm and unbalanced bi-random walk for predicting lncRNA-disease associations. Genomics, 2020, 112(6): 4777-4787.

[14]Jiehang Deng, Jiaxin Liu, Changzheng Wu, Taozhong,Guosheng Gu*, Bingo Wing-Kuen Ling. A Novel Framework for Classifying Leather Surface Defects Based on a Parameter Optimized Residual Network. IEEE Access, 2020, 8: 192109-192118.

[15]Jiehang Deng, Jixiang Yang, Shaowei Weng,Guosheng Gu*, Zheng Li. Copy-move Forgery Detection Robust to Various Transformation and Degradation Attacks. KSII Transactions on Internet and Information Systems, 2018, 12(9): 4467-4486.

[16]邓杰航;王晓宇;赵建;刘超;康晓东;顾国生*.复杂背景下高分辨率电镜的小环藻识别.计算机工程与设计,2019(1): 167-172.

[17]邓杰航,毋鹏杰,余汉君,林小平,张静,顾国生*.基于扩展梯度算子的结构相似度图像质量评价方法.科学技术与工程,2018(27): 42-47.

[18]柳毅,顾国生*. 一种新的轻量级RFID双向认证协议. 计算机科学, 2017(02):213-215+234.

[19]邓杰航, 袁仲鸣, 林好润,顾国生*. 协同超像素和视觉显著性的图像质量评价. 广东工业大学学报, 2021, 38(05): 33-39.

[20]顾国生,邓杰航,苏庆. “两型四项五融合”的信息安全专业人才实践能力培养. 计算机教育, 2022,4:188-193.

科研项目

[1]广东省科技计划项目:警用动态多维采集综合分析系统关键技术研究与应用

[2]广东省科技计划项目:多级别分层次智能网络视频监控系统关键技术研究及产业化

[3]广州市科技创新发展专项资金项目:基于云计算的警务视频布控分析系统关键技术研究与应用

[4]广州市科协产学研促进经费项目:基于私有云存储和压缩感知编码技术的视频监控系统

[5]北京空间飞行器总体设计部项目:光学卫星数据处理技术

[6]中国人民解放军军事科学院项目:智能规划终端样本试制及测试

教学活动

数据库系统、算法设计与分析、应用概率统计

地址:广州市番禺区广州大学城外环西路100号广东工业大学行政楼325 邮编:510006

电话:020-39322722 邮箱:yzb@gdut.edu.cn粤ICP备05008833号

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