个人信息

王立志，教授、博士生导师、国家级青年人才。2011年和2016年在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（MSRA）联合培养项目，于2013年至2016年在微软亚洲研究院实习。主要研究领域为图像图形智能处理、计算摄像与视觉理解，主持多项国家级项目，包括国家优秀青年科学基金项目、“应用创新”装备预研项目、国家重点研发计划子课题、国家自然科学基金面上项目。发表论文50余篇，包括TPAMI、IJCV、TIP等CCF A类期刊和CVPR、ICCV等CCF A类会议，担任IEEE TIP编委。荣获CCF A类会议ACM MM 2022最佳论文提名奖、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名、硕士生2-3名，额外与兼职教授共同招收博士生1名，硕士生2-3名，长期招收科研入门的本科生以及科研合作的博士后。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、研究入门及发表论文！

科研方向

计算摄像学，图像视频处理，视觉与图形学，智能多媒体

代表性学术成果

1. Xin Wang, Lizhi Wang*, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang, In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A类)

2. Hansen Feng, Lizhi Wang*, Yuzhi Wang, Haoqiang Fan, Hua Huang, Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (CCF A类)

3. Jie Lian, Lizhi Wang*, He Sun, Hua Huang, GT-HAD: Gated Transformer for Hyperspectral Anomaly Detection, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

4. Hongyuan Wang, Lizhi Wang*, Chang Chen, Xue Hu, Fenglong Song, Hua Huang, Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity, ACM MM, 2023. (CCF A类)

5. Lingen Li, Lizhi Wang*, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang, Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF A类)

6. Hansen Feng, Lizhi Wang*, Yuzhi Wang, Hua Huang, Learnability enhancement for low-light raw denoising: Where paired real data meets noise modeling, ACM MM,2022. (CCF A类) (Best Paper Runner-Up Award)

7. Lingfei Song, Lizhi Wang*, Min H. Kim, Hua Huang, High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging, IEEE Transactions on Computational Imaging (TCI), 2022.

8. 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)

9. Zhan Wang, Lizhi Wang*, Hua Huang, Sparse additive discriminant canonical correlation analysis for multiple features fusion, Neurocomputing, 2021

10. 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)

11. 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)

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

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

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

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

16. 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)

17. 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)

18. 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)

19. 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)

20. 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)

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

22. 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.

23. 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)

24. 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)

25. 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)

26. 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)

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

承担科研情况

1. 国家优秀青年科学基金项目

2. 国家重点研发计划子课题

3. 国家自然科学基金面上项目

4. 国家自然科学基金青年项目

5. “应用创新”装备预研项目

所获奖励

1. CCF A类会议ACM MM 2022最佳论文提名奖（通讯作者）

2. beat365体育官网平台2021年度本原基金获得者

3. 中国电子学会2018年度优秀博士学位论文奖

4. 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技术专委会委员

中国图象图形学会多媒体专委会委员

IEEE TIP编委 (Associate Editor)

TPAMI, IJCV, TIP, SIGGRAPH, CVPR, ICCV, IJCAI等刊物审稿人

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