基本信息
韩志  男  博导  中国科学院沈阳自动化研究所
电子邮件: hanzhi@sia.cn
通信地址: 辽宁省沈阳市沈河区南塔街114号
邮政编码:

招生信息

   
招生专业
081104-模式识别与智能系统
招生方向
计算机视觉,统计建模,数据挖掘

教育背景

2009-11--2011-11   加州大学洛杉矶分校   国家公派联合培养
2007-09--2012-09   西安交通大学   博士
2005-09--2007-07   西安交通大学   硕士
2001-09--2005-07   西安交通大学   学士

工作经历

   
工作简历
2019-01~现在, 中国科学院沈阳自动化研究所, 研究员
2015-01~2018-12,中国科学院沈阳自动化研究所, 副研究员
2012-09~2014-12,中国科学院沈阳自动化研究所, 助理研究员
社会兼职
2017-01-01-2021-12-31,工业与应用数学学会大数据与人工智能专委会, 委员

专利与奖励

   
奖励信息
(1) 辽宁省自然科学学术成果奖, 一等奖, 省级, 2019
(2) 辽宁省自然科学学术成果奖, 三等奖, 省级, 2018
(3) 辽宁省自然科学学术成果奖, 三等奖, 省级, 2017
专利成果
[1] 韩志, 夏冰洁, 杨楠, 唐延东. 基于VAE和cGAN的同时生成和编辑任意人脸属性的方法. CN: CN114240736A, 2022-03-25.
[2] 韩志, 李镇宇, 陈希爱, 唐延东. 基于稀疏低秩先验的降质图像恢复与识别方法. CN: CN114240775A, 2022-03-25.
[3] 韩志, 赵环宇, 丁士洪, 唐延东. 基于计算机视觉的细胞计数方法. CN: CN114240853A, 2022-03-25.
[4] 韩志, 王艳美, 余思泉, 唐延东. 基于Yolo-v3算法的水下声呐侧扫图像小目标检测方法. CN: CN114155428A, 2022-03-08.
[5] 韩志, 刘柏辰, 贾慧迪, 唐延东. 基于核操作的核全连接神经网络的图像识别方法. CN: CN114005002A, 2022-02-01.
[6] 韩志, 李镇宇, 陈希爱, 唐延东. 基于稀疏低秩先验的降质图像恢复与识别. CN202111480818.4, 2021-12-06.
[7] 韩志, 贾慧迪, 陈希爱, 刘柏辰, 唐延东. 基于非局部低秩张量分解的三维医学图像超分辨率方法. CN202111417542.5, 2021-11-26.
[8] 韩志, 郭思雨, 陈希爱, 贾慧迪, 唐延东. 基于非凸低秩张量近似的图像超分辨率重建系统. CN202111417541.0, 2021-11-26.

出版信息

   
发表论文
[1] Yang, Nan, Xia, Bingjie, Han, Zhi, Wang, Tianran. A Domain-Guided Model for Facial Cartoonlization. IEEE-CAA JOURNAL OF AUTOMATICA SINICAnull. 2022, 9(10): 1886-1888, http://dx.doi.org/10.1109/JAS.2022.105887.
[2] Han, Zhi, Yu, Siquan, Lin, ShaoBo, Zhou, DingXuan. Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(4): 1853-1868, http://dx.doi.org/10.1109/TPAMI.2020.3032422.
[3] 李镇宇, 陈希爱, 刘佳鑫, 张晨宇, 李勇, 韩志. Sparse representation guided low-rank restoration for noisy image recognition. The 12th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systemsnull. 2022, [4] 贾慧迪, 陈希爱, 韩志, 刘柏辰, 唐延东. Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-resolution. Frontiers in Neuroinformatics[J]. 2022, [5] 郭思雨, 陈希爱, 贾慧迪, 韩志, 段志刚, 唐延东. Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation. Remote Sensing[J]. 2022, 14(18): 4470:1-4470:18, [6] Liu, Baichen, Han, Zhi, Chen, Xiai, Shao, Wenming, Jia, Huidi, Wang, Yanmei, Tang, Yandong. A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification. KNOWLEDGE-BASED SYSTEMS[J]. 2022, 255: http://dx.doi.org/10.1016/j.knosys.2022.109723.
[7] 张杨, 王尧, 韩志, 陈希爱, 唐延东. Efficient tensor completion via element-wise weighted low-rank tensor train with overlapping ket augmentation. IEEE Transactions on Circuits and Systems for Video Technology[J]. 2022, [8] Wu, Wei, Wang, Qiang, Yu, Siquan, Luo, Qiong, Lin, Sen, Han, Zhi, Tang, Yandong. Outside Box and Contactless Palm Vein Recognition Based on a Wavelet Denoising ResNet. IEEE ACCESS[J]. 2021, 9: 82471-82484, https://doaj.org/article/2bba3bbc084e4977bf0e48640db7d8c5.
[9] Siquan Yu, Jiaxin Liu, Zhi Han, Yong Li, Yandong Tang, Chengdong Wu. Representation Learning Based on Autoencoder and Deep Adaptive Clustering for Image Clustering. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2021, 2021: https://doaj.org/article/604c77aabe564c94ad30a4e08d213aa2.
[10] 郭思雨, 陈希爱, 贾慧迪, 韩志, 刘佳鑫, 郭锐, 唐延东. 基于非凸低秩张量近似的图像超分辨率重建. 计算机应用研究[J]. 2021, [11] 刘佳鑫, Wang, Dongwei, 余思泉, Li, Xueliang, 韩志, 唐延东. A survey of image clustering: Taxonomy and recent methods. 2021 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS, RCAR 2021null. 2021, 375-380, [12] 王艳美, 刘佳鑫, 余思泉, Wang, Kai, 韩志, 唐延东. Underwater Object Detection based on YOLO-v3 network. PROCEEDINGS OF 2021 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS, ICUS 2021null. 2021, 571-575, [13] 张少杰, 罗琼, 韩志, 唐延东. 基于边信息的高光谱图像恢复模型. 计算机应用研究[J]. 2021, 38(10): 3166-3171, http://lib.cqvip.com/Qikan/Article/Detail?id=7105718287.
[14] Han Zhi. Neural network equivalent model for highly efficient massive data classification. Science China Information Sciences. 2020, [15] Han Zhi, Yu Siquan, Lin ShaoBo, Zhou DingXuan. Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization. 2020, http://arxiv.org/abs/2004.00245.
[16] Jianjiang Zhu, Siquan Yu, Lei Gao, Zhi Han, Yandong Tang. Saliency-Based Diver Target Detection and Localization Method. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2020, 2020: https://doaj.org/article/47cbd429946045ecb32e4506e16751c6.
[17] Zhao, Qian, Rui, Xiangyu, Han, Zhi, Meng, Deyu. Multilinear Multitask Learning by Rank-Product Regularization. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2020, 31(4): 1336-1350, http://dx.doi.org/10.1109/TNNLS.2019.2919774.
[18] 罗琼, 韩志, 陈希爱, 唐延东. 基于p范数的E-3DTV高光谱去噪模型. 计算机应用与软件[J]. 2020, [19] Zhu, Jianjiang, Yu, Siquan, Han, Zhi, Tang, Yandong, Wu, Chengdong. Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2019, 2019: http://ir.sia.cn/handle/173321/24253.
[20] 贾慧迪, 韩志, 陈希爱, 唐延东. 基于非局部张量火车(Tensor Train)分解的彩色图像修补. 模式识别与人工智能[J]. 2019, [21] Ma, Zilu, Liu, Shiqi, Meng, Deyu, Zhang, Yong, Lo, SioLong, Han, Zhi. On Convergence Properties of Implicit Self-paced Objective. INFORMATION SCIENCES[J]. 2018, 462: 132-140, http://119.78.100.139/handle/173321/22104.
[22] Shen, Guiping, Han, Zhi, Chen, Xiai, Tang, Yandong. Robust video denoising with sparse and dense noise modelings. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2018, 61(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000416050500004.
[23] Tian Jiandong, Han Zhi, Chen Xiai. Snowflake removal for videos by foreground and background decomposition via low rank factorization. IEEE Transactions on Multimedia[J]. 2018, [24] 唐延东, 张杨, 韩志. Color image denoising based on low-rank tensor train. 2018 10TH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018)null. 2018, http://ir.sia.cn/handle/173321/23847.
[25] 沈贵萍, 张杨, 唐延东, 陈希爱, 韩志. Background reconstruction via low rank tensor factorization. 2018 10TH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018)null. 2018, http://ir.sia.cn/handle/173321/23845.
[26] 韩志, 杨秀义, 韩建达, 唐延东. A experimental study to invariance of several groups action to the input of residual networks. PROCEEDING OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE-ICIA 2018)null. 2018, 1273-1277, http://ir.sia.cn/handle/173321/23839.
[27] Tian, Jiandong, Han, Zhi, Ren, Weihong, Chen, Xiai, Tang, Yandong. Snowflake Removal for Videos via Global and Local Low-Rank Decomposition. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2018, 20(10): 2659-2669, https://www.webofscience.com/wos/woscc/full-record/WOS:000444903000010.
[28] Shen, Guiping, Han, Zhi, Chen, Xiai, Tang, Yandong. Robust video denoising with sparse and dense noise modelings. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2018, 61(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000416050500004.
[29] Chen, Xiai, Han, Zhi, Wang, Yao, Zhao, Qian, Meng, Deyu, Lin, Lin, Tang, Yandong. A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(11): 5380-5393, https://www.webofscience.com/wos/woscc/full-record/WOS:000447832200017.
[30] 高雷, 林扬, 唐延东, 韩志. 基于多传感器的水下小目标自主探测与识别方法. 水中兵器[J]. 2018, 1-5, 11, http://ir.sia.cn/handle/173321/23808.
[31] Ma, Zilu, Liu, Shiqi, Meng, Deyu, Zhang, Yong, Lo, SioLong, Han, Zhi. On Convergence Properties of Implicit Self-paced Objective. INFORMATION SCIENCES[J]. 2018, 462: 132-140, http://119.78.100.139/handle/173321/22104.
[32] Han, Zhi, Shen, Guiping, Yu, Siquan, Ding, Naida, Tian, Jiandong, Tang, Yandong. Active Trace: A Sparse Spatiotemporal Representation for Videos. IEEE ACCESS[J]. 2017, 5: 22433-22442, https://doaj.org/article/064040604361442e858a5481d571c6bf.
[33] Han, Zhi, Tian, Jiandong, Qu, Liangqiong, Tang, Yandong. A New Intrinsic-Lighting Color Space for Daytime Outdoor Images. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2017, 26(2): 1031-1039, http://ir.sia.cn/handle/173321/20242.
[34] 李冰锋, 唐延东, 韩志. 基于超图直推非负矩阵分解的图像标注法研究. 计算机仿真[J]. 2017, 34(2): 380-384, http://lib.cqvip.com/Qikan/Article/Detail?id=671296821.
[35] Yao Wang, Xiai Chen, Zhi Han, Shiying He. Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization. REMOTE SENSING[J]. 2017, 9(12): https://doaj.org/article/ca82688af62f4c8eb7192548fbddede4.
[36] Luo Qiong, Han Zhi, Chen Xiai, Meng Deyu, Wang Yao, Liang Dong, Tang Yandong. Tensor RPCA by Bayesian CP Factorization with Complex Noise. IEEE International Conference on Computer Vision (ICCV)null. 2017, 5029-5038, [37] 王尧, 陈希爱, 韩志, 沈贵萍, 唐延东. Robust tensor factorization with MRF under complex noise. 7TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2017)null. 2017, 37-41, http://ir.sia.cn/handle/173321/21351.
[38] Han Zhi. Tensor robust principal component analysis with complex noise. INTERNATIONALCONFERENCEONCOMPUTERVISION. 2017, [39] Ren, Weihong, Tian, Jiandong, Han, Zhi, Chan, Antoni, Tang, Yandong. Video Desnowing and Deraining Based on Matrix Decomposition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2017, 2838-2847, [40] 李冰锋, 唐延东, 韩志. 基于改进的NMF人脸识别算法研究. 计算机仿真[J]. 2016, 428-432, http://lib.cqvip.com/Qikan/Article/Detail?id=668338138.
[41] Chen, Xiai, Han, Zhi, Wang, Yao, Tang, Yandong, Yu, Haibin. Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(5): http://dx.doi.org/10.1007/s11432-015-5419-2.
[42] Chen, Xiai, Han, Zhi, Wang, Yao, Tang, Yandong, Yu, Haibin. Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(5): http://www.irgrid.ac.cn/handle/1471x/1045533.
[43] Yu Siquan, Shao Jinxin, Han Zhi, Gao Lei, Lin Yang, Tang Yandong, Wu Chengdong, IEEE. Mine Like Object Detection and Recognition Based on Intrackability and Improved BOW. 2016 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER)null. 2016, 222-227, http://www.irgrid.ac.cn/handle/1471x/1142486.
[44] Li, Bingfeng, Tang, Yandong, Han, Zhi. Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction. MATHEMATICAL PROBLEMS IN ENGINEERING[J]. 2016, 2016: http://www.irgrid.ac.cn/handle/1471x/1142394.
[45] Tian, Jiandong, Duan, Zhigang, Ren, Weihong, Han, Zhi, Tang, Yandong. Simple and effective calculations about spectral power distributions of outdoor light sources for computer vision. OPTICS EXPRESS[J]. 2016, 24(7): 7266-7286, http://www.irgrid.ac.cn/handle/1471x/1045542.
[46] Chen, Xiai, Han, Zhi, Wang, Yao, Zhao, Qian, Meng, Deyu, Tang, Yandon. Robust Tensor Factorization with Unknown Noise. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2016, 5213-5221, http://www.irgrid.ac.cn/handle/1471x/1142478.
[47] 古楠楠, 樊明宇, 王迪, 韩志. 流形学习若干关键问题与算法研究. 2015, 192页-, http://ir.sia.ac.cn/handle/173321/17495.
[48] Chen, Xiai, Han, Zhi, Tang, Yandong. Manifold Mapping Learning by Regression Tree Boosting. 2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER)null. 2015, 1579-1583, http://www.irgrid.ac.cn/handle/1471x/1008471.
[49] Qu Liangqiong, Duan Zhigang, Tian Jiandong, Han Zhi, Tang Yandong, Zha H, Chen X, Wang L, Miao Q. Object Color Constancy for Outdoor Multiple Light Sources. COMPUTER VISION, CCCV 2015, PT IInull. 2015, 547: 369-378, [50] Han, Zhi, Xu, Zongben, Zhu, SongChun. Video Primal Sketch: A Unified Middle-Level Representation for Video. JOURNAL OF MATHEMATICAL IMAGING AND VISION[J]. 2015, 53(2): 151-170, http://www.irgrid.ac.cn/handle/1471x/934141.
[51] Cao, Wenfei, Wang, Yao, Yang, Can, Chang, Xiangyu, Han, Zhi, Xu, Zongben. Folded-concave penalization approaches to tensor completion. NEUROCOMPUTING[J]. 2015, 152: 261-273, http://dx.doi.org/10.1016/j.neucom.2014.10.069.
[52] Qu, Liangqiong, Tian, Jiandong, Han, Zhi, Tang, Yandong. Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image. OPTICS EXPRESS[J]. 2015, 23(3): 2220-2239, http://www.irgrid.ac.cn/handle/1471x/934146.
[53] Han, Zhi, Wang, Jianjun, Jing, Jia, Zhang, Hai. A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals. DISCRETE DYNAMICS IN NATURE AND SOCIETY[J]. 2014, 2014: http://www.irgrid.ac.cn/handle/1471x/921580.
[54] Shen, Guiping, Han, Zhi, Tang, Yandong, IEEE. Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian. 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014null. 2014, 2226-2231, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000380399500371.
[55] 韩志, 孟德宇, 徐宗本, 古楠楠. Incremental Alignment Manifold Learning. 计算机科学技术学报:英文版[J]. 2011, 26(1): 153-165, http://lib.cqvip.com/Qikan/Article/Detail?id=36339549.
[56] 韩志, 朱旭, 徐宗本. 基于度分析的广义胞映射分析方法. 应用数学学报[J]. 2011, 34(2): 240-252, http://lib.cqvip.com/Qikan/Article/Detail?id=37231182.
[57] 徐宗本. Incremental Alignment Manifold Learning. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY[J]. 2011, 26(1): 153-165, http://lib.cqvip.com/Qikan/Article/Detail?id=36339549.
[58] 朱旭, 韩志. 求解大规模TSP问题的混合算法. 工程数学学报[J]. 2007, 24(5): 923-926, http://lib.cqvip.com/Qikan/Article/Detail?id=25532689.
发表著作
(1) 流形学习若干关键问题与算法研究, 首都经济贸易大学出版社, 2015-07, 第 4 作者

科研活动

   
科研项目
( 1 ) 视频的中层视觉表达和高层行为识别研究, 负责人, 国家任务, 2014-01--2016-12
( 2 ) 多层视觉统一视频表达及其应用, 负责人, 国家任务, 2015-01--2016-12
( 3 ) 低秩矩阵复原的Schatten-q(0( 4 ) 脊柱微创手术环境研究, 参与, 国家任务, 2014-01--2018-12
( 5 ) 小目标自主检测识别技术, 负责人, 中国科学院计划, 2017-01--2018-12
( 6 ) 基于低秩张量特性的图像视频表达建模及其算法应用研究, 负责人, 国家任务, 2018-01--2021-12
( 7 ) 基于类生命孪生的机器人智能学习方法, 负责人, 国家任务, 2020-11--2023-10
( 8 ) 青促会优秀会员专项基金, 负责人, 中国科学院计划, 2021-01--2023-12

指导学生

已指导学生

张杨  硕士研究生  081104-模式识别与智能系统  

高振远  硕士研究生  081104-模式识别与智能系统  

陈希爱  博士研究生  081104-模式识别与智能系统  

沈贵萍  博士研究生  081104-模式识别与智能系统  

张少杰  硕士研究生  081104-模式识别与智能系统  

罗琼  博士研究生  081104-模式识别与智能系统  

现指导学生

郭思雨  硕士研究生  085400-电子信息  

王东炜  硕士研究生  081104-模式识别与智能系统  

尚振铎  博士研究生  081104-模式识别与智能系统