Shanliang Zhu

Shanliang Zhu

Professor of Mathematics
博士,教授,硕士生导师,人工智能技术海洋场景化应用山东省工程研究中心副主任,青岛市人工智能海洋技术创新中心副主任,青岛科技大学数学与交叉研究院副院长。山东赛区数学建模竞赛专家组成员、山东省数学会理事、山东省应用统计学会理事、人工智能海洋学专业委员会委员。近年来,主持或参与国家自然科学基金、省自然基金、省教改项目等各类教学科研项目20多项,在国内外期刊发表学术论文80余篇,其中被SCI、EI检索70余篇,参编教材1部。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖29项、国家三等奖13项、山东省一等奖37项、山东省二等奖12项、山东省三等奖7项。指导本科生参加国家大学生创新计划项目4项。
LocRes–PINN: A Physics–Informed Neural Network with Local Awareness and Residual Learning featured image

LocRes–PINN: A Physics–Informed Neural Network with Local Awareness and Residual Learning

Physics–Informed Neural Networks (PINNs) have demonstrated efficacy in solving both forward and inverse problems for nonlinear partial differential equations (PDEs). However, they …

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Physics informed neural network framework for time-varying wind stress drag coefficient identification in the Ekman model

The Ekman equation is a fundamental model for describing the wind stress response in the ocean's upper layer,with its key parameters—the vertical eddy viscosity coefficient (VEVC) …

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Yitong Sun
A Dual-attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal featured image

A Dual-attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal

Variations in ocean mixed layer depth (MLD) show a significant impact on energy balance in the global climate systems and marine ecosystems. So far, the accuracy of modeling MLD, …

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Wentao Jia
Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model featured image

Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model

Estimating ocean subsurface thermohaline information from satellite data is vital for understanding ocean dynamics and El Niño. This paper presents a double-output Residual Neural …

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Xianmei Zhou
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