Name: Wang Lizhi
Discipline: Computer Science and Technology
Title: Associate Professor (Special Researcher)
Contact number:
E-mail: wanglizhi@bit.edu.cn
Address: Room 815, Central Building, Beijing University of Technology Personal Information
Wang Lizhi, Associate professor, special researcher, doctoral supervisor, national young talent. He received his Bachelor of Engineering and Doctor of Engineering degrees from Xidian University in 2011 and 2016, during which he was selected for the joint training program of Microsoft Research Asia (MSRA), and interned at Microsoft Research Asia from 2013 to 2016. His main research fields are image and graphics intelligent processing, computational photography and visual understanding, and he has presided over a number of national projects, including the National Outstanding Youth Science Fund project, the "Application Innovation" equipment pre-research project, the National Key research and development plan sub-project, and the National Natural Science Fund surface project. He has published more than 40 papers, including CCF Class A journals such as TPAMI, IJCV, TIP and CCF Class A conferences such as CVPR and ICCV. He won the ACM MM 2022 Best Paper Nomination Award of CCF Class A conference, the 2018 Excellent Doctoral Dissertation Award of the Chinese Society of Electronics, and the IEEE VCIP 2016 Best Paper Award.

I enroll 1 doctoral student and 2 to 3 master students every year, in addition to 1 doctoral student and 2 to 3 master students jointly with adjunct professors, long-term recruitment of scientific research undergraduates and research cooperation postdoctoral students. I personally mentor each student, as well as other teachers and senior students in the team. The team will provide a superior working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining the team as soon as possible to determine the intention, research introduction and publish the paper!

Research Direction
Computational Photography, Image and Video Processing, Vision and Graphics, Intelligent Multimedia

Personal Information
Wang Lizhi, Associate professor, special researcher, doctoral supervisor, national young talent. He received his Bachelor of Engineering and Doctor of Engineering degrees from Xidian University in 2011 and 2016, during which he was selected for the joint training program of Microsoft Research Asia (MSRA), and interned at Microsoft Research Asia from 2013 to 2016. His main research fields are image and graphics intelligent processing, computational photography and visual understanding, and he has presided over a number of national projects, including the National Outstanding Youth Science Fund project, the "Application Innovation" equipment pre-research project, the National Key research and development plan sub-project, and the National Natural Science Fund surface project. He has published more than 40 papers, including CCF Class A journals such as TPAMI, IJCV, TIP and CCF Class A conferences such as CVPR and ICCV. He won the ACM MM 2022 Best Paper Nomination Award of CCF Class A conference, the 2018 Excellent Doctoral Dissertation Award of the Chinese Society of Electronics, and the IEEE VCIP 2016 Best Paper Award.

I enroll 1 doctoral student and 2 to 3 master students every year, in addition to 1 doctoral student and 2 to 3 master students jointly with adjunct professors, long-term recruitment of scientific research undergraduates and research cooperation postdoctoral students. I personally mentor each student, as well as other teachers and senior students in the team. The team will provide a superior working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining the team as soon as possible to determine the intention, research introduction and publish the paper!

Personal Information
Wang Lizhi, Associate professor, special researcher, doctoral supervisor, national young talent. He received his Bachelor of Engineering and Doctor of Engineering degrees from Xidian University in 2011 and 2016, during which he was selected for the joint training program of Microsoft Research Asia (MSRA), and interned at Microsoft Research Asia from 2013 to 2016. His main research fields are image and graphics intelligent processing, computational photography and visual understanding, and he has presided over a number of national projects, including the National Outstanding Youth Science Fund project, the "Application Innovation" equipment pre-research project, the National Key research and development plan sub-project, and the National Natural Science Fund surface project. He has published more than 40 papers, including CCF Class A journals such as TPAMI, IJCV, TIP and CCF Class A conferences such as CVPR and ICCV. He won the ACM MM 2022 Best Paper Nomination Award of CCF Class A conference, the 2018 Excellent Doctoral Dissertation Award of the Chinese Society of Electronics, and the IEEE VCIP 2016 Best Paper Award.

I enroll 1 doctoral student and 2 to 3 master students every year, in addition to 1 doctoral student and 2 to 3 master students jointly with adjunct professors, long-term recruitment of scientific research undergraduates and research cooperation postdoctoral students. I personally mentor each student, as well as other teachers and senior students in the team. The team will provide a superior working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining the team as soon as possible to determine the intention, research introduction and publish the paper!

代表性学术成果
1. 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)
2. 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)
3. 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)
4. 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.
5. 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)
6. Zhan Wang, Lizhi Wang*, Hua Huang, Sparse additive discriminant canonical correlation analysis for multiple features fusion, Neurocomputing, 2021
7. 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)
8. 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)
9. Zhan Wang, Lizhi Wang*, Jun Wan, Hua Huang, Shared low-rank correlation embedding for multiple feature fusion, IEEE Transactions on Multimedia (TMM), 2020.
10. Zhan Wang, Lizhi Wang*, and Hua Huang. Joint low rank embedded multiple features learning for audio-visual emotion recognition. Neurocomputing, 2020.
11. Maoqing Zhang, Lizhi Wang*, Lei Zhang, Hua Huang, High light efficiency snapshot spectral imaging via spatial multiplexing and spectral mixing, OSA Optics Express, 2020.
12. Zhan Wang, Lizhi Wang*, Hua Huang, Structure Preserving Multi-View Dimensionality Reduction, In IEEE International Conference on Multimedia and Expo (ICME), 2020.
13. 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)
14. 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)
15. 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)
16. 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)
17. 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)
18. Maoqing Zhang, Lizhi Wang*, Lei Zhang, and Hua Huang. Compressive hyperspectral imaging with non-zero mean noise. OSA Optics Express, 2019.
19. 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.
20. 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)
21. 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)
22. 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)
23. 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)
24. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, and Feng Wu. Dual-camera design for coded aperture snapshot spectral imaging. OSA Applied Optics, 2015.
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. 北京理工大学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）