姓名：王立志
所在学科：计算机科学与技术
职称：预聘副教授（特别研究员）
联系电话：
E-mail：lzwang@bit.edu.cn
通信地址：北京理工大学中心教学楼821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。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。2017年加入北京理工大学计算机学院。已经发表多篇计算机学会（CCF）推荐A类论文，包括IEEETPAMI、IEEETIP等国际期刊和CVPR、ICCV等国际会议。荣获中国电子学会2018年度优秀博士学位论文奖，IEEEVCIP 2016最佳论文奖。
　　每年招收博士生1-2名、硕士生3-4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。本人会亲自指导每一位学生，课题组的其他老师和高年级同学也会提供指导，课题组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。请有兴趣加入课题组的同学尽早联系，早日确定意向！

科研方向 　　计算摄像学，图像视频处理，计算机视觉，可视媒体计算，深度学习

代表性学术成果 　　1.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), 41(4):857–870, 2019. (CCF A类)
　　2.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), 39(10):2104–2111, 2017. (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, and Hua Huang. Joint low rank embedded multiple features learning for audio-visual emotion recognition. Neurocomputing, 2020. (CCF A类)
　　5.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), 28(5): 2257-2270, 2019. (CCF A类)
　　6.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), pages 8032–8041, 2019.(CCF A类)
　　7.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, pages 10183–10192, 2019. (CCF A类)
　　8.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, pages 8559–8568, 2019.(CCF A类)
　　9.Maoqing Zhang, Lizhi Wang, Lei Zhang, and Hua Huang. Compressive hyperspectral imaging with non-zero mean noise. OSA Optics Express, 27(13):17449–17462, 2019.
　　10.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), 28(3):812–817, 2018.
　　11.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), pages 1–4, 2016. (Oral,Best Paper Award)
　　12.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), pages 4942–4950, 2015. (CCF A类)
　　13.Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, and Feng Wu. Dual-camera design for coded aperture snapshot spectral imaging. OSA Applied Optics, 54(4):848–858, 2015.
　　14.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), pages 3270-3278, 2017. (CCF A类)
　　15.Zhiwei Xiong, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, and Feng Wu. HSCNNCNN-based hyperspectral image recovery from spectrally undersampled projections. In IEEE International Conference on Computer Vision Workshops (CVPRW), 2017.
　　16.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)
　　17.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.
　　18.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 　　国家自然科学青年基金项目（负责）
　　国家重点研发计划参与单位（负责）
　　中国博士后科学基金面上项目（负责）

所获奖励 　　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（第一作者）
　　

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