| Ph.D. Sep. 2013 - Jul. 2018 (expected),
Department of Automation, Tsinghua University, Beijing, China. |
| Visiting Student. Nov. 2015 - Nov. 2016, Computational Fabrication Group, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, USA. |
| B.Eng. Sep. 2009 - Jul. 2013, Department of Automation, Tsinghua University, Beijing, China (GPA 94, Rank 1/141). |
| Computational Imaging |
| Computational Optics |
| Deep Neural Networks |
| Time-of-flight (ToF) Imaging |
| Tomographic Phase Microscopy |
| Light field Microscopy |
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| Resolving transient time profile in ToF imaging via log-sum sparse regularization. |
OSA Optics Letters (OL) 2015 [Project Page]  |
| Multi-frequency time-of-flight (ToF) cameras have been used to recover the transient time profiles of optical responses such that multipath interference can be separated. The resolution of the recovered time profiles is limited by the highest modulation frequency. Here, we demonstrate a method based on log-sum sparsity regularization to recover transient time profiles of specular reflections. We show that it improves the ability of separating pulses better than the state-of-the-art regularization methods. As an application, we demonstrate the encoding and decoding of hidden images using mirror reflections. |
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| GPU-based deep convolutional neural network for tomographic phase microscopy with l1 fitting and regularization. |
SPIE Journal of Biomedical Optics (JBO) 2018 [Project Page] |
| Tomographic phase microscopy (TPM) is a unique imaging modality to measure the three-dimensional refractive index distribution of transparent and semitransparent samples. However, the requirement of the dense sampling in a large range of incident angles restricts its temporal resolution and prevents its application in dynamic scenes. Here, we propose a graphics processing unit-based implementation of a deep convolutional neural network to improve the performance of phase tomography, especially with much fewer incident angles. As a loss function for the regularized TPM, the l1-norm sparsity constraint is introduced for both data-fidelity term and gradient-domain regularizer in the multislice beam propagation model. We compare our method with several state-of-the-art algorithms and obtain at least 14 dB improvement in signal-to-noise ratio. Experimental results on HeLa cells are also shown with different levels of data reduction. |
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Hui Qiao, Jingyu Lin, Yebin Liu, Matthias B. Hullin, and Qionghai Dai, Resolving transient time profile in ToF imaging via log-sum sparse regularization, Optics Letters (OL), 2015, 40(6): 918-921.
Hui Qiao, Jiamin Wu, Xiaoxu Li, Morteza H. Shoreh, Jingtao Fan, and Qionghai Dai, GPU-based deep convolutional neural network for tomographic phase microscopy with l1 fitting and regularization, J. Biomed. Opt. (JBO), 2018, 23(6): 066003.
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Qionghai Dai, Hui Qiao, Xiaoxu Li and Jinli Suo. A Generative Neural Network Based Method for Tomographic Phase Microscopy. China Patent, pending. |
| Other Research Experience |
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SPIE/COS Photonics Asia |
| The Photonics Asia conference, 2014. |
Attend the Photonics Asia Sponsored by SPIE, the International Society for Optics and Photonics and the Chinese Optical Society (COS), October 9-11, 2014 at Beijing, China. |
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Symposium on Computational Fabrication, 2016  |
| Held at CSAIL MIT, Cambridge, MA, USA. April 19-20, 2016. |
The Symposium on Computational Fabrication is an interdisciplinary venue that brings together leading experts from academia and industry in the area of computer graphics, geometry processing, mechanical engineering, materials science, architecture, human-computer interaction, robotics, and applied math. The goal is to learn about fundamental questions and issues related to computational aspects of fabrication, provide a platform for discussing ideas and initiating collaborations that will pioneer new approaches in this area, and provide a venue for disseminating research results.
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I have served as a reviewer for those journals:
IEEE: Journal of Selected Topics in Signal Processing
OSA: Optics Express
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National Scholarship, 2016
Freshman Scholarship for Doctoral candidate of Tsinghua University, 2013 (Rank 1 in Department of Automation, Tsinghua University)
Outstanding Graduate Student of Beijing, China, 2013
Outstanding Graduate Student of Tsinghua University, 2013
Friend of Tsinghua-Chang Dong Scholarship (1/141), 2012
Friend of Tsinghua-Fang Chongzhi Scholarship (1/141), 2011
"12.9 Scholarship" of Tsinghua University (1/141), 2010 |
Chairman of Zijing Volunteer Organization, Youth League Committee of Tsinghua University (Sep. 2014 - Jul. 2015)
President of Student Union, Department of Automation, Tsinghua University (Sep. 2012 - Jul. 2013)
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| Last updated:
Mon, 06/18/2018 |
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