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杨树国

日期:2023-06-06 点击数: 作者: 来源:


      


出生年月

197010

职务/职称

院长/教授

学历(学位)

博士后(工学博士)

所属部门

数学系

导师类别

博士生导师、硕士生导师

招生专业

数学、统计学、人工智能、大数据、计算机科学与技术

研究方向

人工智能、数据分析与处理、数字图像处理、音频信号处理

联系方式

ysg_2005@163.com

个人简介

  杨树国:教授,博士生导师,哈尔滨工业大学博士后。数据科学与信息技术研究中心主任,人工智能海洋技术场景化应用山东省工程研究中心主任,青岛市人工智能海洋技术创新中心主任,青岛科技大学数学与交叉研究院院长。美国佐治亚理工学院高级访问学者、香港中文大学高级访问学者、北京交通大学高级访问学者;山东省数学会常务理事、山东省应用统计学会常务理事、人工智能海洋学专业委员会常务委员。

  一、研究领域及招生方向

 1)计算机科学与技术:数字图像处理、音频信号处理、视频信息处理、云计算安全、数字水印等。

 2)人工智能:机器学习、深度学习、机器听觉、胶囊网络、自然语言处理。

 3)统计与数据处理:大数据分析及应用、数据挖掘、多元统计分析。

 4)数学:分形理论及应用、混沌理论及应用、小波理论及应用、运筹与优化、现代科学计算与数值分析。

 5)金融科技:金融大数据、人工智能金融、金融数学、金融风险管理。

 6)人工智能海洋学:物理海洋学、海洋环流与气候环境效应,人工智能及其在海洋中的应用。

 二、科研项目

 近年来,主持或参与国家自然科学基金、国防科工委、电子工业部、省自然基金、省重点科研计划、省高校科研计划、省优秀中青年科学家基金、青岛市科技发展计划项目等各级各类科研项目40多项。

 三、学术论文

 Applied Mathematical ModellingMathematicsKnowledge-Based SystemsDigital Signal ProcessingInternational Journal of Adaptive Control and Signal ProcessingOcean EngineeringInternational Journal of Control等高水平期刊上发表学术论文120余篇,被SCI检索50余篇。近五年代表学术论文如下:

    [1] Zhao, Guangfeng, Li, Delei,Yang, Shuguo, Qi, Jifeng, Yin, Baoshu.The development of a weather-type statistical downscaling model for wave climate based on wave clustering[J]. Ocean Engineering. Vol 304. Jul, 15, 2024.

    [2] Xie, Bowen,Qi, Jifeng,Yang, Shuguo, Sun, Guimin, Feng, Zhongkun,Yin, Baoshu, Wang, Wenwu,Salata, Ferdinando.Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data[J]. Atmosphere. Vol 15, Issue1. Jan, 2024.

    [3] Li, Kanghao,Yang, Shuguo, Zhao, Li, Wang, Wenwu. Weakly labeled sound event detection with a capsule-transformer model[J]. Digital Signal Processing. Mar. 2024.

    [4] Jiang, Bin , Xu, Zhenhua, Yang, Shuguo, Chen, Yonghua, Ren, Qiang. Profile Autonomous Underwater Vehicle System for Offshore Surveys[J]. Sensors. Vol 23, Issue, 7. Apr, 2023.

    [5] Huang, Jing, Zhang, Linlin , Zhu, Shanliang , Wu, Jie , Yan, Xiaomei, Song, Weiqi, Yang, Shuguo. The reliable sampling interval for monitoring interannual variability of the Kuroshio transport at 18?N[J]. Journal of Sea Research. Jun. 2023.

    [6] Liu, Qingliang, Yang, Shuguo, Liu, Jing, Zhao, Li, Xiong, Pengcheng, Shen, Jun. An efficient video watermark method using blockchain[J]. Knowledge-Based System. Vol 259:110066. Jan, 10, 2023.

    [7] Li, Haitao, Yang, Shuguo, Wang, Wenwu. Improved capsule routing for weakly labeled sound event detection[J]. Eurasip Journal on Audio Speech and Music Processing. 2022(1), 2022.

    [8] Dong Lin, Qi Jifeng, Yin Baoshu, Zhi Hai, Li Delei, et al. Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method[J]. Remote Sensing. 14(14): 3494, 2022.

    [9] Han Yu-Qun, Liu Si-Min, Du Yang, Yang Shu-Guo*. Adaptive Multi-dimensional Taylor network tracking control for nonlinear systems with input saturation and full state time-varying constraints[J]. International Journal of Adaptive Control and Signal Processing. Vol 36, No. 9: 2152-2166, 2022.

    [10] Han Yu-Qun, Zhu Shan-Liang, Duan De-Yu, Chu Lei, Xiong Peng-Cheng, & Yang Shu-Guo*. Observer-based adaptive neural tracking control for a class of stochastic nonlinear systems[J]. International Journal of Control. Vol. 94, no. 5: 1344-1354, 2021.

    [11] Zhu, Shanliang, Zhao, Yu, Zhang, Yanjie, Li, Qingling, Wang, Wenwu, Yang, Shuguo. Short-term traffic flow prediction with wavelet and Multi-dimensional Taylor network model[J]. IEEE Transactions on Intelligent Transportation Systems. 2021(5): 3203-3208.

    [12] Gao, Tian, Zhu, Shanliang, Liu, Jing, Shen, Jun, Shen, Jialie, Yang, Shuguo, Xiong, Pengcheng. A new context-aware approach for automatic Chinese poetry generation[J]. Knowledge-Based Systems. 2021(232):107409.

    [13] Haoyu Wang, Tingqiang Song, Shanliang Zhu, Shuguo Yang, Liqiang Feng. Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean[J]. Mathematics. 2021(8): 852.

    [14] Zhu Shan-Liang, Chu Lei, Wang Ming-Xin, Han Yu-Qun, Yang Shu-Guo*.Multi-dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems[J]. IEEE Access. Vol 8: 7729877307, 2020.

    [15] Liu, Qingliang, Yang, Shuguo, Liu, Jing, Xiong, Pengcheng, Zhou, Mengchu.A discrete wavelet transform and singular value decomposition-based digital video watermark method[J].Applied Mathematical Modelling.Vol 85: 273-293.

    [16] Shanliang Zhu, Lei Chu, Mingxin Wang, Yuqun Han, Shuguo Yang, Multi-dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems[J]. IEEE Access. 8: 77298-77307, 2020.

    [17] Han, Yu-Qun, Zhu, Shan-Liang, Yang, Shuguo, Chu, Lei , Adaptive multi dimensional Taylor network tracking control for a class of nonlinear systems[J]. International Journal of Control. 94(2): 277-285, 2019.

    [18] Han Yu-Qun, Zhu Shan-Liang, Duan De-Yu, Yang Shu-Guo*.Adaptive neural output feedback tracking control for a class of nonlinear systems[J]. International Journal of Systems Science. Vol. 50, no. 11: 2088-2101, 2019.

    [19] Han Yu-Qun, Zhu Shan-Liang, Duan De-Yu, Chu Lei, Yang Shu-Guo*. Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network[J]. Transactions of the Institute of Measurement and Control. Vol. 41, no. 16: 4499-4510, 2019.

    [20] Han, Yuqun, Zhu, Shanliang, Yang, Shuguo.Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone[J].IEEE Access.Vol 6:34543-34554.

 四、奖励及荣誉称号

   1)中国商业联合会科学技术奖1项

 (2)黑龙江省自然科学技术奖2项

 3黑龙江省优秀高等教育科学研究成果奖2

 4)黑龙江省优秀教育科研论文奖2

 5)中国石油和化工教育科学研究成果奖1

 6)山东省省级教学成果奖一等奖1

 7)青岛市自然科学技术奖1

 8)校优秀教学研究成果奖1

 9)校优秀教学研究论文奖1

 10)校教学效果优秀奖1

 11)省农垦总局优秀教师

 12)校优质课教师

 13)校我最喜爱的教师

 五、竞赛奖励

 指导本科生及研究生数学建模竞赛获国家一等奖8项、二等奖22项、三等奖9项以及省级奖50余项。



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