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个人简介

教育经历 1990.91993.7大连理工大学计算数学博士 1987.91990.7南开大学数学硕士 1983.91987.7吉林大学数学学士 工作经历 1999.8至今 大连理工大学数学科学学院教授在职 科研项目 20000箱级以上超大型集装箱船创新专项, 公益性行业科研专项, 2018/01/01, 完成 面向航空发动机机匣五轴立式铣车复合加工中心, 国家科技重大专项, 2014/06/06, 完成 高维混合非线性结构数据分析及其应用, 国家自然科学基金, 2015/08/18, 进行 2005年度教育部新世纪优秀人才支持计划, 教育部新世纪优秀人才支持计划项目, 2005/12/31-2008/12/31, 完成 ICM数据科学卫星会议, 国家自然科学基金, 2014/05/01-2014/12/31, 完成 在线测量检测技术研究, 国家科技重大专项, 2013/01/01, 完成 医学图像的可视化技术研究, 大连理工大学“数学+X”交叉学科建设专项项目, 2008/12/31-2010/12/31, 完成 多媒体数据的几何特征表示与分析, 国家自然科学基金, 2011/09/25, 完成 第七届科学计算及应用国际会议, 国家自然科学基金, 2010/06/13-2010/12/31, 完成 数字几何媒体智能处理与应用研究, 国家自然科学基金, 2009/09/25-2013/12/31, 完成 柔性物体参数化建模与复杂约束变形方法及其应用, 国家自然科学基金, 2006/09/25-2009/12/31, 完成 基于非接触测量技术的五轴工具磨削中心的刀具几何参数在线检测系统研究, 国家科技重大专项, 2018/01/01, 进行 基于视觉扫描毛坯自适应技术的航天惯导复杂精密结构件研究, 国家科技重大专项, 2018/01/01, 进行 学术荣誉 教育部"新世纪优秀人才支持计划"入选者 科研奖励 辽宁省教学成果一等奖 辽宁省科学技术奖 其他奖励 2018辽宁省优秀博士学位论文优秀指导教师奖 (2019年) 中国人工智能学会优秀博士论文指导教师 (2018年) 张长城2014辽宁省优硕指导教师 (2015年) 仲光宇毕业论文获校优秀论文指导教师 (2013年) 第十一届“挑战杯”辽宁省优秀指导教师 (2013年) 2012年度校创新创业年会优秀指导教师 (2012年) 2010年度“考核优秀” (2011年) 亢靖苏优秀毕业设计指导教师 (2011年) 毕海川优秀硕士论文指导教师 (2011年) 唐科威优秀硕士论文指导教师 (2010年) 校2010科技奖励自然科学基金重点项目 (2010年) 本科毕业设计校优秀论文指导教师 (2009年) 王胜法优秀本科毕业设计指导教师 (2007年) 教育部新世纪优秀人才 (2005年)

研究领域

曲线曲面设计;多元样条和分片代数曲面;几何数据分析 复杂约束的曲线曲面变形;网格参数化;点云曲面 图像分析;图像识别;几何重建;医学图像 流形学习;非线性子空间聚类;偏微分方程学习

近期论文

查看导师新发文章 (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)

Liu, Yang.Deep Blind Image Inpainting[A],2021,11935:128-141 Wang, Hongyan.Structure-Preserving Guided Image Filtering[A],2021,11935:114-127 Fan, Wanshu.Edge-preserving filter with adaptive L-0 gradient optimization[J],INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2021,15(2) Li, Haohao.Multiview Dimension Reduction Based on Sparsity Preserving Projections[A],2021,11854:296-309 Wang, Cong.Weakly supervised single image dehazing[J],JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2021,72 Wang, Cong,Su, Zhixun,Fan, Wanshu,Zhu, Honghe.Single image deraining via nonlocal squeeze-and-excitation enhancing network[J],APPLIED INTELLIGENCE,2020,50(9):2932-2944 Li, Haohao,Su, Zhixun,Li, Nannan,Liu, Ximin,Wang, Shengfa,Luo, Zhongxuan.Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian[J],COMPUTER AIDED GEOMETRIC DESIGN,2020,81 Wang, Cong,Wu, Yutong,Cai, Yu,Yao, Guangle,Su, Zhixun,Wang, Hongyan.Single image deraining via deep pyramid network with spatial contextual information aggregation[J],APPLIED INTELLIGENCE,2020,50(5):1437-1447 Liu, Yang,Pan, Jinshan,Su, Zhixun,Tang, Kewei.Robust dense correspondence using deep convolutional features[J],VISUAL COMPUTER,2020,36(4):827-841 Fan, Wanshu,Wang, Hongyan,Wang, Yan,Su, Zhixun.Blind Deconvolution with Scale Ambiguity[J],APPLIED SCIENCES-BASEL,2020,10(3) Tang, Kewei,Cao, Liying,Li, Jinhong,Peng, Xingxuan,Su, Zhixun,Sun, Xiyan,Luo, Xiaonan.Local Connectivity Enhanced Sparse Representation[J],IEEE ACCESS,2020,8:159854-159863 Tang, Kewei,Su, Zhixun,Jiang, Wei,Zhang, Jie.Superpixels for large dataset subspace clustering[J],NEURAL COMPUTING & APPLICATIONS,2019,31(12):8727-8736 Tang, Kewei,Su, Zhixun,Jiang, Wei,Zhang, Jie,Sun, Xiyan,Luo, Xiaonan.Robust subspace learning-based low-rank representation for manifold clustering[J],NEURAL COMPUTING & APPLICATIONS,2019,31(11):7921-7933 Wang, Cong,Zhang, Man,Su, Zhixun,Wu, Yutong,Yao, Guangle,Wang, Hongyan.Learning a multi-level guided residual network for single image deraining[J],SIGNAL PROCESSING-IMAGE COMMUNICATION,2019,78:206-215 Tang, Kewei,Su, Zhixun,Zhang, Jie,Cui, Lihong,Jiang, Wei,Luo, Xiaonan,Sun, Xiyan.Bayesian rank penalization[J],NEURAL NETWORKS,2019,116:246-256 Li, Nannan,Wang, Shengfa,Liu, Risheng,Guan, Ziqiao,Su, Zhixun,Luo, Zhongxuan,Qin, Hong.Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric ...[J],COMPUTER AIDED GEOMETRIC DESIGN,2019,72:111-125 Wang, Cong,Zhang, Man,Pan, Jinshan,Su, Zhixun.Single image rain removal via densely connected contextual and semantic correlation net[J],JOURNAL OF ELECTRONIC IMAGING,2019,28(3) Tang, Kewei,Su, Zhixun,Liu, Yang,Jiang, Wei,Zhang, Jie,Sun, Xiyan.Subspace segmentation with a large number of subspaces using infinity norm minimization[J],PATTERN RECOGNITION,2019,89:45-54 Wang, Cong,Wang, Hongyan,Su, Zhixun,Yang, Yan.EMBEDDING NON-LOCAL MEAN IN SQUEEZE-AND-EXCITATION NETWORK FOR SINGLE IMAGE DERAINING[A],2019,264-269 Wang, Cong,Zhang, Man,Su, Zhixun,Yao, Guangle,Wang, Yan,Sun, Xiyan,Luo, Xiaonan.From Coarse to Fine: A Stage-Wise Deraining Net[J],IEEE ACCESS,2019,7:84420-84428 Wang, Hongyan,Pan, Jinshan,Su, Zhixun,Liang, Songxin.Blind image deblurring using elastic-net based rank prior[J],COMPUTER VISION AND IMAGE UNDERSTANDING,2018,168(,SI):157-171 Hao, Ruru,Su, Zhixun.A patch-based low-rank tensor approximation model for multiframe image denoising[J],Journal of Computational and Applied Mathematics,2018,329:125-133 Zhong, Guangyu,Tsai, Yi-Hsuan,Liu, Sifei,Su, Zhixun,Yang, Ming-Hsuan.Learning Video-Story Composition via Recurrent Neural Network[A],2018,2018-January:1727-1735 Dong, Jiangxin,Pan, Jinshan,Sun, Deqing,Su, Zhixun,Yang, Ming-Hsuan.Learning Data Terms for Non-blind Deblurring[A],2018,11215:777-792 Xu, Shaoshuai,Su, Zhixun,Wang, Xuan.A motion retargeting method with footstep constraints[A],2018,329-333 Cai, Yu,Pan, Jinshan,Su, Zhixun.Blind Image Deblurring via Salient Structure Detection and Sparse Representation[A],2018,10799:283-299 Wang, Yiyang,Jiang, Zhiying,Su, Zhixun.A nonuniform method for extracting attractive structures from images[J],International Journal of Grid and High Performance Computing,2018,10(3):14-28 Huang, Yimin,Wang, Yiyang,Su, Zhixun.SINGLE IMAGE DEHAZING VIA A JOINT DEEP MODELING[A],2018,2840-2844 Li, Nannan,Li, Haohao,Hu, Jiangbei,Wang, Shengfa,Su, Zhixun,Luo, Zhongxuan.Encoding the Models with Object-aware Feature Basis: A New Analytical Tool for Graphic Applicat...[A],2018,305-310 Wang, Yan,Su, Zhixun,Gao, Jiaxin.Adaptive Weighted Deformable Part Model for Object Detection[A],2018,72-75 Wang, Yiyang,Liu, Risheng,Song, Xiaoliang,Su, Zhixun.A nonlocal model with regression predictor for saliency detection and extension[J],VISUAL COMPUTER,2017,33(11):1467-1482 Dong, Jiangxin,Pan, Jinshan,Su, Zhixun.Blur kernel estimation via salient edges and low rank prior for blind image deblurring[J],SIGNAL PROCESSING-IMAGE COMMUNICATION,2017,58:134-145 Pan, Jinshan,Hu, Zhe,Su, Zhixun,Yang, Ming-Hsuan.L-0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond[J],IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2017,39(2):342-355 Wang, Yiyang,Liu, Risheng,Su, Zhixun.Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems[A],2017,10559:11-27 Pan, Jinshan,Dong, Jiangxin,Tai, Yu-Wing,Su, Zhixun,Yang, Ming-Hsuan.Learning Discriminative Data Fitting Functions for Blind Image Deblurring[A],2017,2017-October:1077-1085 Tang, Kewei,Liu, Xiaodong,Su, Zhixun,Jiang, Wei,Dong, Jiangxin.Subspace Learning Based Low-Rank Representation[A],2017,10111:416-431 Liu, Yang,Pan, Jinshan,Su, Zhixun.DEEP FEATURE MATCHING FOR DENSE CORRESPONDENCE[A],2017,795-799 Dong, Jiangxin,Pan, Jinshan,Su, Zhixun,Yang, Ming-Hsuan.Blind Image Deblurring with Outlier Handling[A],2017,2017-October:2497-2505 Liu, Risheng,Wang, Jing,Shang, Xiaoke,Wang, Yiyang,Su, Zhixun,Cai, Yu.Sparse Coding and Counting for Robust Visual Tracking[J],PLOS ONE,2016,11(12):e0168093 Tang, Kewei,Dong, Jiangxin,Su, Zhixun,Zhang, Jie.Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering[J],NEURAL PROCESSING LETTERS,2016,44(3):719-733 Li, Nannan,Wang, Shengfa,Zhong, Ming,Su, Zhixun,Qin, Hong.Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets[J],IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2016,22(9):2094-2106 Liu, Yusong,Su, Zhixun,Cao, Junjie,Wang, Hui.Harmonic mean normalized Laplace-Beltrami spectral descriptor[J],VISUAL COMPUTER,2016,32(9):1097-1108 Pan, Jinshan,Lin, Zhouchen,Su, Zhixun,Yang, Ming-Hsuan.Robust Kernel Estimation with Outliers Handling for Image Deblurring[A],2016,2016-December:2800-2808 Pan, Jinshan,Hu, Zhe,Su, Zhixun,Lee, Hsin-Ying,Yang, Ming-Hsuan.Soft-Segmentation Guided Object Motion Deblurring[A],2016,2016-December:459-468 Zhong, Guangyu,Liu, Risheng,Cao, Junjie,Su, Zhixun.A generalized nonlocal mean framework with object-level cues for saliency detection[J],VISUAL COMPUTER,2016,32(5):611-623 Tang, Kewei,Dunson, David B.,Su, Zhixun,Liu, Risheng,Zhang, Jie,Dong, Jiangxin.Subspace segmentation by dense block and sparse representation[J],NEURAL NETWORKS,2016,75:66-76 Wang, Yiyang,Liu, Risheng,Song, Xiaoliang,Su, Zhixun.Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimizat...[A],2016,798-804 Wang, Jing,Wang, Yiyang,Su, Zhixun,Liu, Risheng.VISUAL TRACKING VIA ORTHOGONAL SPARSE CODING[A],2015,2015-December:3817-3821 Zhong G.,Liu R.,Su Z..Robust visual tracking via-discriminative sequential ranking[A],2015,2015-December:4942-4946 Liu, Risheng,Bai, Shanshan,Su, Zhixun,Zhang, Changcheng,Sun, Chunhai.Robust visual tracking via L0 regularized local low-rank feature learning[J],JOURNAL OF ELECTRONIC IMAGING,2015,24(3) Xu, Yangyang,Hao, Ruru,Yin, Wotao,Su, Zhixun.PARALLEL MATRIX FACTORIZATION FOR LOW-RANK TENSOR COMPLETION[J],INVERSE PROBLEMS AND IMAGING,2015,9(2):601-624 Wang, Shengfa,Li, Nannan,Li, Shuai,Luo, Zhongxuan,Su, Zhixun,Qin, Hong.Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space[J],COMPUTER AIDED GEOMETRIC DESIGN,2015,35-36(,SI):206-214 Liu, Risheng,Su, Zhixun,Cao, Junjie,Zhong, Guangyu.Diffuse visual attention for saliency detection[J],JOURNAL OF ELECTRONIC IMAGING,2015,24(1) Wang, Di,Liu, Risheng,Su, Zhixun.ROBUST VISUAL TRACKING VIA GUIDED LOW-RANK SUBSPACE LEARNING[A],2015 Tang, Kewei,Liu, Risheng,Su, Zhixun,Zhang, Jie.Structure-Constrained Low-Rank Representation[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2014,25(12):2167-2179 Liu, Yusong,Su, Zhixun,Cao, Junjie,Wang, Hui.Stretching-robust Laplace Spectral Descriptor for Non-Rigid 3D Shape Retrieval[A],2014,305-313 Zhong, Guangyu,Li, Bo,Cao, Junjie,Su, Zhixun.Object Level Saliency by Submodular Optimization[A],2014,105-110 Liu, Risheng,Lin, Zhouchen,Su, Zhixun.Learning Markov random walks for robust subspace clustering and estimation[J],NEURAL NETWORKS,2014,59:1-15 Liu R.,Bian M.,Su Z.,Pan J.,Li B..Saliency detection using prior guided multi-view low-rank modeling[J],Journal of Information and Computational Science,2014,11(16):5905-5913 Wang, Yiyang,Liu, Risheng,Song, Xiaoliang,Su, Zhixun.Saliency Detection via Nonlocal L-0 Minimization[A],2014,9004:521-535

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