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韩志 博士, 研究员



 Email: hanzhi@sia.cn

韩志 博士,研究员,博士生导师









1) Zhi Han, Siquan Yu, et al.; "Width and depth trade-off for deep Relu nets in feature extraction and generalization ", IEEE Transactions on Pattern Recognition and Machine Intelligence, 2021(accepted)

2)Siquang Yu , Zhi Han*, Yandong Tang, Chengdong Wu; "Neural Network Equivalent Model for Highly Efficient Massive Data Classification", Science China : Information Sciences 2020(online published)

3) Qiong Luo, Baichen Liu, Yang Zhang, Zhi Han*, Yandong Tang,"Low-rank decomposition on transformed feature maps domain for image denoising", The Visual Computer, 2020, https://doi.org/10.1007/s00371-020-01951-0

4) Xi'ai Chen, Zhi Han*, Yao Wang, Qian Zhao, Deyu Meng, and Yandong Tang, "A Generalized Model for Robust Tensor Factorization with Noise Modeling by Mixture of Gaussians", IEEE Transactions on Neural Networks and Learning Systems , Volume: 29, Issue: 11, 2018, Pages: 5380-5393

5) Qiong Luo, Zhi Han*, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang, "Tensor RPCA by Bayesian CP Factorization with Complex Noise", International Conference on Computer Vision (ICCV) 2017

6) Zhi Han, Guiping Shen, Siquan Yu, Naida Ding, Jiandong Tian, Yandong Tang, "Active Trace: A Sparse Spatiotemporal Representation for Videos", IEEE Access, Volume 5, Issue 1, pp.22433-22442, 2017

7) Guiping Shen, Zhi Han*, Xiai Chen, Yandong Tang,"Robust Video Denoising with Sparse and Dense Noise Modelings", SCIENCE CHINA Information Sciences,60(1), 2018

8)Weihong Ren, Jiandong Tian, Zhi Han, Yandong Tang,"Video Desnowing and Deraining Based on Matrix Decomposition", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017

9)Zhi Han, Jiandong Tian, Liangqiong Qu, and Yandong Tang, "A New Intrinsic-Lighting Color Space for Daytime Outdoor Images", IEEE Transactions on Image Processing, Volume 26 Issue 2, 1031- 1039, 2017

10)Xi'ai Chen, Zhi Han*, Yao Wang, Qian Zhao, Deyu Meng, and Yandong Tang. "Robust Tensor Factorization with Unknown Noise", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

11) Jiandong Tian, Zhigang Duan, Weihong Ren, Zhi Han, Yandong Tang, "Simple and Effective Calculations about Spectral Power Distributions of Outdoor Light Sources for Computer Vision", Optics Express Vol. 24, Issue 7, pp. 7266-7286, 2016

12) Chen Xiai, Han Zhi*, Wang Yao, Yandong Tang, et al., "Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment", SCIENCE CHINA Information Sciences 2016, 59, doi: 10.1007/s11432-015-5419-2

13) Zhi Han, et al., "Video Primal Sketch: A Unified Middle-Level Representation for Video", Journal of Mathematical Imaging and Vision, October 2015, Volume 53, Issue 2, pp 151-170

14) Zhi Han et al.,“A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 104709, 8 pages,2014. doi:10.1155/2014/104709

15) Zhi Han (韩志), Zongben Xu(徐宗本), and Song-Chun Zhu (朱松纯); "Video Primal Sketch: A Generic Middle-Level Representation of Video"; International Conference on Computer Vision (ICCV), 2011.

16) Zhi Han (韩志), De-Yu Meng(孟德宇), Zong-Ben Xu (徐宗本), and Nan-NanGu(古楠楠), Incremental Alignment Manifold Learning. Journal of computer science and technology (JCST), Vol. 26 (1):153-165, 2011.

17) 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,34 (2) : 240-253

18) 朱旭,韩志;“求解大规模TSP问题的混合算法”;工程数学学报;2007年05期 923-926.

19) Guiping Shen, Zhi Han and Yandong Tang; "Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian",2014 IEEE International Conference on Robotics and Biomimetics

20)Xiai Chen, Zhi Han, Yandong Tang;"Manifold Mapping Learning by Regression Tree Boosting", IEEE CYBER 2015

21) Liangqiong Qu, Jiandong Tian, Zhi Han, and Yandong Tang, "Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image", Optics Express,Vol.23, No.3,2015

22) Bingfeng Li, Yandong Tang, Zhi Han, "Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction", MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, Article ID:7474839


1) 国家重点研发计划项目: 基于类生命孪生的机器人智能学习方法

经费来源:国家科技部;2021-2023;  项目负责人

2) 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

经费来源:中国科学院(中科院青年创新促进会优秀会员);2018-2021;  项目负责人

3) 深海环境机器视觉感知方法研究

经费来源:国家自然科学基金;2021-2024;  项目负责人

4) 目标背景与算法仿真 可视化系统

    经费来源:企业服务项目;2017-2018;  项目负责人


2014-2016;  项目负责人

6) 机器人视觉环境理解理论方法研究

   经费来源:机器人学国家重点实验室; 2012 -2013