朱和贵

姓名： 朱和贵


职称： 教授


联系方式：zhuhegui@mail.neu.edu.cn


专业：应用数学


个人主页：http://faculty.neu.edu.cn/zhuhegui/zh_CN/


  1. 研究领域


智能安全、机器学习与图像处理、深度学习与大数据统计建模

  1. 招生方向

应用数学和人工智能（博士、硕士）；应用统计（硕士）


  1. 个人简介

朱和贵，教授, 博士生导师，沈阳市数学会副理事长，中国科学院沈阳计算技术研究所博士后。2006年和2003年于东北大学理学院数学系分别获理学硕士和学士学位，2011年于吉林大学数学学院获理学博士学位。主持国家自然科学基金面上项目、国家重点研发计划科技部重大专项子课题、中国博士后面上基金、辽宁省自然科学基金、广东省基础与应用基础联合基金等项目多项。在ICCV, IEEE Transactions on Multimedia，IEEE Transactions on Industrial Informatics，Pattern Recognition，Information Sciences, Expert Systems With Applications，Applied Soft Computing，Applied Mathematical Modelling, Nonlinear Dynamics,Computers & Security，Neurocomputing， Mathmaticas and Computers in Simulation, Journal of Information Security and Applications等国内外杂志发表SCI、EI论文50余篇；2023年获河北省科技进步三等奖、获东北大学张捷迁奖教金；2022年，获沈阳市优秀研究生导师，2019,2021,2023年获东北大学本科毕业论文优秀指导教师荣誉称号；2018年获国家自然科学基金委信息学部遥感影像稀疏表征与智能处理算法大赛三等奖。2023年指导本科生获第十六届“挑战杯”辽宁省大学生课外学术科技作品竞赛（七星级）省一等奖1项；全国大学生数学建模竞赛（六星级）国家二等奖10余项；美国大学生数学建模国际一等奖（五星级）10余项；国家级大创项目优秀1项（学生获研究生推免资格）、良好7项；指导本科生发表SCI论文5篇；2名本科毕业生获东北大学优秀本科毕业论文；东北大学创新创业大赛校级一等奖1项。20，21级研究生人均发表SCI论文1篇，获“国家奖学金”、“东北大学优秀毕业生”和“东北大学优秀研究生干部”等荣誉称号。培养的研究生被华为、商汤科技、腾讯、海康威视、美团、京东、电信、三一重工等国内著名企业录用并获得了很高的评价和赞赏。

  1. 科研项目


1.国家自然科学基金面上项目，基于差异化对抗样本的深度网络模型安全评估与防护，2025/01-2028/12，主持

2.广东省基础与应用基础研究项目，可迁移多模态异常驾驶行为智能检测方法研究，2023/11-2026/10，主持

3.科技成果转化， 一种基于深度学习的语义图像分割方法，2022/06-2024/05，主持

4.企事业单位课题，基于大数据分析的驾驶行为风险筛查系统，2020/8-2021/12, 主持

5.辽宁省自然科学基金，融合加密的图像信息隐藏算法研究，2020/05-2022/04，主持

6.企事业单位课题，共享汽车用户驾驶行为评价系统，2019/02-2020/05，主持

7.中央高校基本科研业务费项目国家项目培育种子基金，超混沌系统的混沌特性计算分析及其应用研究，2018/01-2019/12，主持

8.科技部重点研发计划子课题，海管检测数据综合处理与缺陷评估关键技术研究与软件开发，2017/07-2021/06，主持

9.中国博士后面上基金项目，基于高维随机复合混沌系统的图像加密算法研究，2016/05-2020, 主持

  1. 发表论文及著作

  1. Zhu H, Gao Z, Wang J, et al. Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation[J]IEEE Transactions on Multimedia, 10.1109/TMM.2024.3405713

  2. Zhu H, Ni J, Yang X, et al. CMIGNet: Cross-Modal Inverse Guidance Network for RGB-Depth salient object detection[J]Pattern Recognition,2024,155:110693

  3. Liu C, Zhu H,Ren Y. A Novel Intelligent Forecasting Framework for Quarterly or Monthly Energy Consumption[J].IEEE Transactions On Industrial Informatics,2024,20(3):5352-5363

  4. Zhu H,Ren Y, Liu C et al. Frequency-based methods for improving the imperceptibility and transferability of adversarial examples[J]Applied Soft Computing,2024,150:111088

  5. Ren Y,Zhu H, liu C et al. Efficient polar coordinates attack with adaptive activation strategy[J]Expert Systems With Applications,2024,249:123850

  6. Zhu H, RenYu, Sui X, et al. Boosting Adversarial Transferability via Gradient Relevance Attack[C]. International Conference on Computer Vision2023, ICCV2023.

  7. Zhu H, Zheng H, Zhu Y, et al. Boosting the transferability of adversarial attacks with adaptive points selecting in temporal neighborhood[J]. Information Sciences, 2023, 641: 119081.

  8. Zhu H, Sui X, Ren Y, et al. Boosting transferability of targeted adversarial examples with non-robust feature alignment[J]. Expert Systems with Applications, 2023, 227: 120248.

  9. Ren Y, Zhu H, Sui X et al. Crafting transferable adversarial examples via contaminating the salient feature variance[J]. Information Sciences,2023,644:119273

  10. Zhu H, Zhu Y, Zheng H, et al. LIGAA: Generative adversarial attack method based on low-frequency information[J]. Computers & Security, 2023, 125: 103057.

  11. Zhu H, Geng T, Wang J, et al. Improved sub-category exploration and attention hybrid network for weakly supervised semantic segmentation[J]. Neural Computing and Applications, 2023, 35 (14):10573-10587.

  12. Zhu H, Chong L, Wu W, et al. A novel conformable fractional nonlinear grey multivariable prediction model with marine predator algorithm for time series prediction[J]. Computers & Industrial Engineering, 2023, 180: 109278.

  13. Zhu H, Zhao R, Gao Z, et al. Light transformer learning embedding for few-shot classification with task-based enhancement[J]. Applied Intelligence, 2023, 53(7): 7970-7987.

  14. Zhu H, Liu C, Wu W Z, et al. Weakened fractional-order accumulation operator for ill-conditioned discrete grey system models[J]. Applied Mathematical Modelling, 2022, 111: 349-362.

  15. Zhu H, Zhang J, Cui H, Wang K, Tang Q. TCRAN: Multivariate time series classification using residual channel attention networks with time correction[J]. Applied Soft Computing，2022: 114:108117.

  16. Zhu H, Wang K, Zhang Z, Liu Y, Jiang W . Low-light image enhancement network with decomposition and adaptive information fusion[J]. Neural Computing and Applications, 2022, 34 (10) , 7733-7748.

  17. Zhu H, Xiao R, Zhang J, Liu J, Li C, Yang L. A driving behavior risk classification framework via the unbalanced time series samples[J]. IEEE Transactions on Instrumentation and Measurement, 2022,71, Art no. 2503312.

  18. Zhu H, Ge J, Qi W, Zhang X, Lu X.Dynamic analysis and image encryption application of a sinusoidal-polynomial composite chaotic system[J]. Mathematics and Computers in Simulation, 2022, 189: 188-210.

  19. Liu, Chong; Lao, Tongfei; Wu, Wen-Ze; Xie, Wanli; Zhu, Hegui.An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production[J],2022,194:116448..Expert Systems with Applications.

  20. Zhu H G, Zeng H M, Liu J H, Zhang X D.Logish: A new nonlinear nonmonotonic activation function for convolutional neural network[J],Neurocomputing, 2021,458(11):490-499.

  21. Zhu H G, Dai L W, Liu Y T, et al. A three-dimensional bit-level image encryption algorithm with Rubik's cube method[J]. Mathematics and Computers in Simulation, 2021,185: 754-770.

  22. Zhu H G, Wang R. Zhang X D. Image captioning with dense fusion connection and improved stacked attention module[J]. Neural Processing Letters , 2021,53, 1101–1118.

  23. Zhu H G, Guo Y J, Zhang L B. An improved convolution Merkle tree-based blockchain electronic medical record secure storage scheme[J],Journal of Information Security and Applications,2021,61,102952.

Zhu H G, Zhang M, Zhang X D, Zhang L B. Two-branch encoding and iterative attention decoding network for semantic segmentation[J]. Neural Computing and Applications,2021, 33, 5151–5166.

  1. 学术兼职

沈阳市数学会副理事长；国际期刊审稿人：IEEE Transactions on Pattern Analysis and Machine Intelligence; IEEETransactions on Information Forensics & Security; IEEE Transactions on Neural Networks and Learning Systems;IEEE Transactions on Circuits and Systems for Video Technology；IEEE Transactions on Systems, Man and Cybernetics: Systems；Neural Networks ;Nonlinear Dynamics；Knowledge-Based Systems; Expert Systems With Applications; Chaos, Solitons and Fractals;Neurocomputing；Engineering Applications of A International Journal of Bifurcation and Chaos,etc