您现在的位置是: 王立志

博士生导师

姓名:王立志
所在学科:计算机科学与技术
职称:副教授(特别研究员)
联系电话:
E-mail: wanglizhi@bit.edu.cn
通信地址:北京理工大学中心教学楼815室

个人信息

王立志,副教授,特别研究员,博士生导师。2011年和2016年获西安电子科技大学获得工学学士和工学博士学位。博士期间入选微软亚洲研究院联合培养项目,2013年至2016年于微软亚洲研究院实习。已经发表多篇国际顶级论文,包括TPAMI、IJCV、TIP等期刊和CVPR、ICCV等会议。荣获中国电子学会2018年度优秀博士学位论文奖,IEEE VCIP 2016最佳论文奖。

本人每年招收博士生1-2名、硕士生4名,额外与兼职教授共同招收硕士生2-3名,长期招收打算继续深造的本科生和希望从事科研工作的博士后。团队主要研究内容为图形、图像、视频等可视媒体的计算理论、基础算法、智能处理及其可视化和工程应用技术。本人会亲自指导每一位学生,团队的其他老师和高年级同学也会提供指导。团队会提供非常优越的工作环境、计算资源、科研补助和国内外交流机会。请有兴趣加入团队的同学尽早联系,早日确定意向,并开始研究和发表论文!


科研方向

计算机视觉,深度学习,计算摄像学,智能图像处理,计算机图形学


代表性学术成果

1. Lizhi Wang, Shipeng Zhang, Hua Huang, Adaptive Dimension-discriminative Low-rank Tensor Recovery for Computational Hyperspectral Imaging, International Journal of Computer Vision (IJCV), 2021, (CCF A类)

2. Shipeng Zhang, Lizhi Wang, Lei Zhang, Hua Huang, Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF A类)

3. Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, and Hua Huang. DNU: Deep non-local unrolling for computational spectral imaging. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF A类)

4. Zhan Wang, Lizhi Wang, Jun Wan, Hua Huang, Shared low-rank correlation embedding for multiple feature fusion, IEEE Transactions on Multimedia (TMM), 2020.

5. Zhan Wang, Lizhi Wang, and Hua Huang. Joint low rank embedded multiple features learning for audio-visual emotion recognition. Neurocomputing, 2020.

6. Maoqing Zhang, Lizhi Wang, Lei Zhang, Hua Huang, High light efficiency snapshot spectral imaging via spatial multiplexing and spectral mixing, OSA Optics Express, 2020.

7. Zhan Wang, Lizhi Wang, Hua Huang, Structure Preserving Multi-View Dimensionality Reduction, In IEEE International Conference on Multimedia and Expo (ICME), 2020.

8. Lizhi Wang, Zhiwei Xiong, Hua Huang, Guangming Shi, Feng Wu, and Wenjun Zeng. High-speed hyperspectral video acquisition by combining nyquist and compressive sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (CCF A类)

9. Lizhi Wang, Tao Zhang, Ying Fu, and Hua Huang. HyperReconNet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging. IEEE Transactions on Image Processing (TIP), 2019. (CCF A类)

10. Lizhi Wang, Chen Sun, Ying Fu, Min H Kim, and Hua Huang. Hyperspectral image reconstruction using a deep spatial-spectral prior. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (CCF A类)

11. Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, and Hua Huang. Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery. In IEEE International Conference on Computer Vision (ICCV), 2019. (CCF A类)

12. Tao Zhang, Ying Fu, Lizhi Wang, and Hua Huang. Hyperspectral image reconstruction using deep external and internal learning. In IEEE International Conference on Computer Vision (ICCV), 2019. (CCF A类)

13. Maoqing Zhang, Lizhi Wang, Lei Zhang, and Hua Huang. Compressive hyperspectral imaging with non-zero mean noise. OSA Optics Express, 2019.

14. Mingde Yao, Zhiwei Xiong, Lizhi Wang, Dong Liu, Xuejin Chen, Spectral-depth imaging with deep learning based reconstruction, OSA Optics Express, 2019

15. Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, and Feng Wu. Simultaneous depth and spectral imaging with a cross modal stereo system. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.

16. Lizhi Wang, Zhiwei Xiong, Guangming Shi, Feng Wu, and Wenjun Zeng. Adaptive nonlocal sparse representation for dual-camera compressive hyperspectral imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. (CCF A类)

17. Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, and Feng Wu. Snapshot hyperspectral light field imaging. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (CCF A类)

18. Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, and Feng Wu. Compressive hyperspectral imaging with complementary RGB measurements. In Visual Communications and Image Processing (VCIP), 2016. (Oral, Best Paper Award)

19. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, and Feng Wu. High-speed hyperspectral video acquisition with a dual-camera architecture. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. (CCF A类)

20. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, and Feng Wu. Dual-camera design for coded aperture snapshot spectral imaging. OSA Applied Optics, 2015.

21. Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, and Feng Wu. HSCNN CNN-based hyperspectral image recovery from spectrally undersampled projections. In IEEE International Conference on Computer Vision Workshops (CVPRW), 2017.

22. Dong Liu, Lizhi Wang, Li Li, Zhiwei Xiong, Feng Wu, and Wenjun Zeng. Pseudo-sequence-based light field image compression. In IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pages 1–4. 2016. (Light Field Compression Challenge Winner Award)

23. Guangming Shi, Lizhi Wang, Danhua Liu, Dahua Gao, Guo Li, and Yang Liu. Compressive sensing-based multispectral video imager with double channels and imaging method, December 26 2017. US Patent 9,851,252.

24. Zhiwei Xiong, Lizhi Wang, and Wenjun Zeng. Dual-sensor hyperspectral motion imaging system, June 28 2018. US Patent App. 15/575,756.


承担科研情况

1. 国家重点研发计划子课题(负责)

2. 国家自然科学基金面上项目(负责)

3. 国家自然科学基金青年项目(负责)

    所获奖励

      1. 中国电子学会2018年度优秀博士学位论文奖

      2. IEEE VCIP 2016最佳论文奖(第一作者)

    社会兼职

    中国计算机学会多媒体专委会委员

    中国图象图形学会多媒体专委会委员

    TPAMI, IJCV, TIP, SIGGRAPH, CVPR, ICCV, IJCAI审稿人


    备注