2004年9月-2010年6月 中国科学院研究生院，信息科学与工程学院，获工学博士学位
2000年9月-2004年06月 山东大学，计算机科学与技术学院，获工学学士学位
2016年12月-至今 清华大学自动化系，副教授
2012年6月-2016年12月 清华大学自动化系，讲师
2010年7月-2012年6月 清华大学自动化系，博士后
2012-2018，Frontiers of Computer Science (SCI), 编委
2019-，Journal of the Optical Society of America A，编委
1.计算摄像学
2.计算机视觉
3.统计学习
2019年，光谱视频计算摄像技术及装置，中国电子学会科学技术一等奖，排名第2
2016年，新一代立体视觉关键技术及产业化，国家科技进步二等奖，排名第3
2015年，立体视觉感知、建模关键技术及应用，中国电子学会科学技术一等奖，排名第2
高通量计算成像
1.Y. Liu, X. Yuan, J. Suo, Q. Dai, Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. IEEE International Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, Jun. 14-19, 2020.
2.J. Fan, J. Suo, J. Wu, H. Xie, Y. Shen, F. Chen, G. Wang, L. Cao, G. Jin, Q. He, T. Li, G. Luan, L. Kong , Z. Zheng , and Q. Dai, Video-Rate Imaging of Biological Dynamics at Centimetre Scale and Micrometre Resolution. Nature Photonics, Vol. 13, No. 8, pp. 809-816, 2019.
3.Y. Liu, X. Yuan, J. Suo, D. Brady, and Q. Dai, Rank minimization for snapshot compressive imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Early Access)
4.C. Deng, X. Hu, J. Suo, Y. Zhang, Z. Zhang, and Q. Dai, Snapshot hyperspectral imaging via spectral basis multiplexing in Fourier domain. Optics Express, Vol. 26, No. 25, pp. 32509-32521, 2018.
5.T. Yue, J. Suo, X. Cao, & Q. Dai, Efficient method for high-quality removal of nonuniform blur in the wavelet domain. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 27, No. 9, pp. 1869-1881, 2017.
6.L. Bian, G. Zheng, K. Guo, J. Suo, C. Yang, F. Chen, Q. Dai, Motion-corrected Fourier ptychography, Biomedical Optics Express, vol. 7, no. 11, pp. 4543-4553, 2016.
7.L. Bian, J. Suo, J. Chung, X. Ou, C. Yang, F. Chen & Q. Dai, Fourier Ptychographic Reconstruction Using Poisson Maximum Likelihood and Truncated Wirtinger Gradient, Scientific Reports, Vol. 6, No. 27384, 2016.
8.J. Wu, B. Xiong, X. Lin, J. He, J. Suo, and Q. Dai, Snapshot Hyperspectral Volumetric Microscopy, Scientific Reports, Vol. 6, No. 24624, 2016.
9.L. Bian, J. Suo, G. Zheng, K. Guo, F. Chen and Q. Dai, Fourier Ptychographic Reconstruction Using Wirtinger Flow Optimization, Optics Express, Vol. 23, No. 4, pp. 4856-4866, 2015.
10.L. Bian, J Suo, G Situ, G Zheng, F Chen and Q Dai, Content Adaptive Sparse Illumination For Fourier Ptychography, Optics Letters, Vol. 39, No. 23, pp. 6648-6651, 2014.
单像素成像
1.C. Deng, X. Hu, X. Han, J. Suo, Q. Dai, High fidelity single-pixel imaging. IEEE Photonics Journal, Vol. 11, No. 2, pp. 1-9, 2019.
2.C. Deng, J. Suo, Y. Wang, Z. Zhang, Q. Dai, Single-shot thermal ghost imaging using wavelength-division multiplexing. Applied Physics Letters, Vol. 112, No. 5, 051107,2018.
3.Y. Zhang, J. Suo, Y. Wang, Q. Dai, Doubling the pixel count limitation of single-pixel imaging via sinusoidal amplitude modulation. Optics express, Vol. 26, No. 6, pp. 6929-6942, 2018.
4.Y. Liu, J. Suo, Y. Zhang, Q. Dai, Single-pixel phase and fluorescence microscope. Optics express, Vol. 26, No. 25, pp. 32451-32462, 2018.
5.Y. Wang, Y. Liu, J. Suo, G. Situ, C. Qiao, and Q Dai, High Speed Computational Ghost Imaging via Spatial Sweeping, Scientific Reports, vol. 7, no. 45325, 2017.
6.Z. Li, J. Suo, X. Hu, C. Deng, J. Fan, and Q. Dai, Efficient single-pixel multispectral imaging via non-mechanical spatio-spectral modulation, Scientific Reports, vol. 7, no. 41435, 2017.
7.L. Bian, J. Suo, G. Situ, Z. Li, J. Fan, F. Chen, and Q. Dai, Multispectral Imaging Using A Single Bucket Detector, Vol. 6, No. 24752, Scientific Reports, 2016.
8.Z. Li, J. Suo, X. Hu, and Q. Dai, Content-adaptive ghost imaging of dynamic scenes, Optics Express, Vol. 24, No. 7, pp. 7328-7336, 2016.
9.Y. Wang, J. Suo, J. Fan, and Q. Dai, Hyperspectral Computational Ghost Imaging via Temporal Multiplexing, IEEE Photonics Technology Letters (PTL), Vol. 28, No. 3, pp. 288-291, 2016.
10.X. Hu, J. Suo, T. Yue, L. Bian and Q. Dai, Patch-Primitive Driven Compressive Ghost Imaging, Optics Express, Vol. 23, No. 9, pp. 11092-11104, 2015.
高分辨图像重建
1.Yue, J. Suo, J. Wang, X. Cao, and Q. Dai, Blind Optical Aberration Correction by Exploring Geometric and Visual Priors, International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, Jun. 8-Jun. 10, 2015.
2.X. Lin, J. Suo, Q. Dai, Extracting Depth and Radiance from a Defocused Video Pair, IEEE Trans. Circuits and Systems for Video Technology, Vol. 25, No. 4, pp. 557-569, 2015.
3.J. Suo, Y. Deng, L. Bian, Q. Dai, Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos, IEEE Trans. Image Processing, Vol. 23, No. 3, pp. 1154-1168. 2014.
4.Y. Peng, J. Suo, W. Xu and Q. Dai, Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration, IEEE Trans. Cybernetics, Vol. 44, No. 12, pp. 2418-2430, 2014.
5.T. Yue, J. Suo, Y. Xiao, L. Zhang and Q. Dai, Image Quality Enhancement Using Original Lens via Optical Computing, Optics Express, Vol. 22, No. 24, pp. 29515-29530, 2014.
6.T. Yue, J. Suo, and Q. Dai, High-Dimensional Camera Shake Removal with Given Depth Map, IEEE Trans. Image Processing, Vol. 23, No. 6, pp. 2688-2703, 2014.
7.C. Ma, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein, High-rank Coded Aperture Projection for Extended Depth of Field, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.
8.X. Lin, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein,“Coded Stack Photography”, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.
