郭志昌 - 哈尔滨工业大学

个人简介

郭志昌，男，理学博士，准聘教授，博士生导师现任哈尔滨工业大学数学学院计算数学系副主任、中国工业与应用数学学会数学与医学交叉学科专业委员会委员、中国生物医学工程学会人工智能分会青年委员。主要从事偏微分方程及图像处理、人工智能（计算机视觉，大数据分析，股票趋势量化）研究工作。主持国家自然科学基金面上项目、黑龙江省自然科学基金、广东省基础与应用基础研究基金、国家自然科学基金青年基金、教育部新教师基金，哈尔滨工业大学校创新基金等项目；作为主要参与人参与国自然联合基金重点项目、黑龙江省基金重点项目、相关研究成果发表在SIAM、IEEE TIP、JSC等高水平期刊上，累计发表论文40余篇，出版专著/教材2部，授权发明专利2项。教育经历 2001.09-2005.07 吉林大学信息与计算科学学士 2005.09-2007.07 吉林大学应用数学硕士 2007.09-2010.07 吉林大学应用数学博士工作经历 2022.12至今哈工大数学学院准聘教授 2020.1至今哈工大数学学院计算数学系副主任、教工党支部书记 2020.07至今哈工大数学学院博士生导师 2016.7-2022.12 哈工大数学学院准聘副教授 2014.12-2016.7 哈工大数学系副教授 2014.10-2015.10 美国加州大学欧文分校访问学者 2010.11-2014.12 哈工大数学系讲师荣誉称号黑龙江省高等教育教学成果一等奖(2019，排序7) 哈尔滨工业大学第八届创新创业教育优秀指导教师奖(2022) 第十三届全国大学生数学竞赛优秀指导教师(2021) 第七届黑龙江“互联网+”大学生创新创业大赛铜奖指导教师(2021，2017) 哈尔滨工业大学创新创业训练计划项目一等奖指导教师（2021）哈尔滨工业大学“立德树人先进个人”(2021) 哈尔滨工业大学优秀本科生毕业设计指导教师（2020，2017）全国大学生数学建模竞赛本科组二等奖指导教师（2020，2018，2016）哈尔滨工业大学大学生创新创业训练项目计划一等奖指导教师(2017) 全国大学生数学建模竞赛本科组一等奖指导教师（2015，2016）哈尔滨工业大学优秀本科生毕业论文指导教师（2014，2017）哈尔滨工业大学第三届研究生青年教师教学一等奖（2013）哈尔滨工业大学理学院优秀班主任（2013）哈尔滨工业大学优秀专兼职工作者（2013，2012）哈尔滨工业大学优秀专兼职学生工作者标兵（2011-2012）所指导研究生团队获校研究生“十佳团队”、所在团队获“黑龙江省研究生导学思政团队”、“哈尔滨工业大学学生未来科技创新导师团队”等荣誉称号

研究领域

偏微分方程及图像处理、人工智能（计算机视觉，大数据分析，股票趋势量化）

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

A Fractional-Order Fidelity-Based Total Generalized Variation Model for Image Deblurring Research on Neural Network Defense Problem Based on Random Noise Injection Research on Video Pedestrian Tracking Based on the Combination of Optical Flow Method and Target Tracking Network SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification A Ginzburg-Landau-$${H}^{-1}$$ Model and Its SAV Algorithm for Image Inpainting Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator Multiplicative Noise Removal and Contrast Enhancement for SAR Images Based on a Total Fractional-Order Variation Model A hybrid forecasting model based on deep learning feature extraction and statistical arbitrage methods for stock trading strategies Stationary Point Losses for Robust Model A nonlinear anisotropic diffusion model with non-standard growth for image segmentation A Fractional-Order Telegraph Diffusion Model for Restoring Texture Images with Multiplicative Noise A multi-tasking novel variational model for image decolorization and denoising Two-Stream Multiplicative Heavy-Tail Noise Despeckling Network With Truncation Loss A novel low-light enhancement via fractional-order and low-rank regularized retinex model Nonlocal Adaptive Biharmonic Regularizer for Image Restoration A Non-Local Diffusion Equation for Noise Removal Fractional-order diffusion model for multiplicative noise removal in texture-rich images and its fast explicit diffusion solving Image Multiplicative Denoising Using Adaptive Euler’s Elastica as the Regularization An anisotropic diffusion system with nonlinear time-delay structure tensor for image enhancement and segmentation A new anisotropic fourth-order diffusion equation model based on image features for image denoising A colorization-based anisotropic variational model for vector-valued image compression Deep Learning Informed Diffusion Equation Model for Image Denoising Numerical methods for time-fractional convection-diffusion problems with high-order accuracy Image Decomposition Based on Nonlinear Reaction-Diffusion Systems A novel fractional‐order reaction diffusion system for the multiplicative noise removal Entropy solutions for an adaptive fourth-order nonlinear degenerate problem for noise removal Hybrid BM3D and PDE Filtering for Non-Parametric Single Image Denoising A new non-divergence diffusion equation with variable exponent for multiplicative noise removal Cauchy noise removal by nonlinear diffusion equations A Total Fractional-Order Variation Model for Image Super-Resolution and Its SAV Algorithm An adaptive total variational despeckling model based on gray level indicator frame A class of elliptic systems with discontinuous variable exponents and L 1 data for image denoising Multiplicative Noise Removal Based on the Smooth Diffusion Equation Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations Geometry driven anisotropic diffusion in color image denoising Nonlinear fractional diffusion model for deblurring images with textures An Image Denoising Model Based on a Fourth-order Nonlinear Partial Differential Equation A Nonlinear Diffusion Equation-Based Model for Ultrasound Speckle Noise Removal A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression A doubly degenerate diffusion equation in multiplicative noise removal models RENORMALIZED SOLUTIONS TO A REACTION-DIFFUSION SYSTEM APPLIED TO IMAGE DENOISING Renormalized solutions to a reaction-diffusion system applied to image denoising A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise Coherence-enhancing diffusion with the source term A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal A Total Variation Model Based on the Strictly Convex Modification for Image Denoising An Alternative Variational Framework for Image Denoising Salt-and-Pepper Noise Removal via Local H?lder Seminorm and Nonlocal Operator for Natural and Texture Image A weighted dual porous medium equation applied to image restoration A new model for segmentation of gray-scale and color images Image Denoising via Nonlinear Hybrid Diffusion A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal Reaction–diffusion systems with -growth for image denoising Adaptive Perona-Malik Model Based on the Variable Exponent for Image Denoising On a reaction–diffusion system applied to image decomposition and restoration Multiplicity of positive radially symmetric solutions for a quasilinear biharmonic equation in the plane Multiplicity of Positive Solutions for a Fourth-Order Quasilinear Singular Differential Equation