Xiaoxu Li

Graduate Student


BBNC (Broadband Network & Digital Media Lab)
MMCP (Multi-dimension & Multi-scale Computational Photography Lab)
TNList (Tsinghua National Laboratory for Information Science and Technology)
THUIBCS (Institutes for Brain and Cognitive Science, Tsinghua University)
Department of Automation, Tsinghua University
Beijing 100084, China


E-mail: lixx14thu@163.com
About Me

I am now a 3rd year graduate student in BBNC Lab of Department of Automation at Tsinghua University. The leader of our lab is Prof. Qionghai Dai. I did several research on computational imaging, image processing and artificial intelligence.

Education
Graduate Student  Aug. 2018 - Jul. 2021 (expected), Department of Automation, Tsinghua University, Beijing
B.Eng.  Aug. 2014 - Jul. 2018, Department of Automation, Tsinghua University, Beijing
B.Eng. Second Major  Aug. 2015 - Jul. 2018, School of Economics and Management, Tsinghua University, Beijing
Honors & Awards
2019.10   Second-class Comprehensive Excellent Scholarship of Department of Automation
2018.07   Outstanding Graduate of Department of Automation, Tsinghua University
2017.05   Second Prize of the 35th Challenge Cup of Tsinghua University
2016.10   Dongfang Electric Sholarship
2016.09   Second Prize of National College Students Mathematical Modeling Competition in Beijing Division Group A
2015.10   Zheng Geru Scholarship
Abilities
Software  Proficiency in scripting languages such as Python and MATLAB; Very familiar with deep learning frameworks such as Tensorflow and Pytorch; Algorithm integration and implementation using C++ and C#.
Hardware  Setting up light path; Designing and integration for common imaging systems.
English  Passing CET 4 and CET 6；fluent in daily communication and academic reports; writing academic papers alone.
Other  Writing academic papers and patents；Writing files such as project applications and concluding reports; Familiar with multimedia editing tools such as PS, AI and Amira.
Projects

Snapshot partially-coherent diffraction tomography based on light field microscopy


We build a light field microscope and achieve 3D phase retrieval within a single snapshot. This paper is submitted to Advanced Photonics and I am the joint first author.

Deep learning-based 3D Reconstruction for Light Field Microscopy


We use a U-net based method to improve the performance of 3D reconstrction for light field microscopy, providing results with much less artifact. I was invited to give an upgraded oral presentation on Biophotonics Congress, 2019.

3D Single Molecule Localization Microscopy via Deep Learning


We propose a deep-learning approach based on faster-RCNN to estimate 3D locations of multiple emitters over a large axial range with high accuracy. And we also develop a fiji-plugin of proposed method. I was invited to give an oral presentation on Biophotonics Congress, 2020.

3D Observation of Large-Scale Subcellular Dynamics in Vivo at the Millisecond Scale.


I participate in the construction of scanning light field imaging system and accelerating reconstruction algorithm. This paper is submitted to Cell.

Real-time, Ultra-large-Scale, imaging at High-resolution macroscopy


I participate in data processing, extracting the firing signal of neuron and also participate in final report.

 
Self-evaluation

I am a solid, steady young man, with sincere and enthusiastic personality. I have strong learning ability and am always keen on learning new things. I am good at teamwork and willing to contribute. And I also integrate into a new environment quickly. Hoping to realize my own value through hard work.

Publications

Bo Xiong, Xiaoxu Li, You Zhou, Liejun Wang, Jiamin Wu and Qionghai Dai. Snapshot partially-coherent diffraction tomography. Submitted to Advanced Photonics, 2020. (Joint first author)

Xiaoxu Li, Hui Qiao, Jiamin Wu, Zhi Lu, Tao Yan, Ruxin Zhang, Xu Zhang, Qionghai Dai. DeepLFM: Deep Learning-based 3D Reconstruction for Light Field Microscopy. Biophotonics Congress: Optics in the Life Sciences Congress 2019, Paper NM3C.2, 2019. (Upgraded Invited Oral)

Xiaoxu Li, Runzhao Yang, Yuchen Guo, Hui Qiao, Qionghai Dai. 3D Single Molecule Localization Microscopy via Deep Learning. Biophotonics Congress: Biomedical Optics 2020, Paper MW2A.4, 2020. (Oral)

Jiamin Wu, Zhi Lu, Hui Qiao, Xu Zhang, Karl Zhanghao, Hao Xie, Tao Yan, Guoxun Zhang, Xiaoxu Li, Zheng Jiang, Xing Lin, Lu Fang, Bing Zhou, Jingtao Fan, Peng Xi, Qionghai Dai. 3D observation of large-scale subcellular dynamics in vivo at the millisecond scale. BioRxiv (Submit to Cell), 2019, p. 672584.

Hui Qiao, Jiamin Wu, Xiaoxu Li, Morteza Shoreh, Jingtao Fan, Qionghai Dai. GPU-Based Deep Convolutional Neural Network for Tomographic Phase Microscopy with ℓ 1 Fitting and Regularization. Journal of Biomedical Optics, vol. 23, no. 6, 2018, pp. 1–7. (Upgraded Invited Oral)

Chao Deng, Xuemei Hu, Xiaoxu Li, Jinli Suo, Zhilin Zhang, Qionghai Dai. High Fidelity Single-Pixel Imaging. IEEE Photonics Journal, vol. 11, no. 2, 2019, pp. 1–9.

Chang Qiao, Hui Qiao, Jiamin Wu, Xiaoxu Li, Jingtao Fan, Qionghai Dai. Deep learning based tomographic phase microscopy with blind structured illumination. Biophotonics Congress: Optics in the Life Sciences Congress 2019, Paper NM3C.3, 2019.

Patents

Qionghai Dai, Hui Qiao, Xiaoxu Li, Jinli Suo. The method and device of multi-angle illumination tomography based on deep generative network. China Patent, CN107958475A.

Qionghai Dai, Xiaoxu Li, Hui Qiao. The method and system of high-performance deconvolution based on convolutional neural network. China Patent, CN110441271A.

Qionghai Dai, Hui Qiao, Xiaoxu Li. The method and device of 3D reconstruction of light field microscopy. China Patent, CN110443882A.

Ao Yu, Bowen Zhang, Chao Zhang, Qingshan Jia, Xiaoxu Li, Nan Wu. A Method for indoor nabigation and rescue based on an intelligent helmet. China Patent, CN107485100A.
 Last updated: Sat, 08/29/2020