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] Guosheng Gu, Shaowei Gan, 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] Guosheng Gu, 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, Zheng Li. A chaotic-cipher-based packet body encryption algorithm for JPEG2000 images. 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, Haomin Wei, Dongdong He, Guosheng Gu*, 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, Jianming Li, 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

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