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Summary

Eight years of algorithm development in computer vision, highly skilled in object detection and segmentation. Academic skills with publications in high-impact journals. Global runner-up of LUNA16 grand challenge, 3rd in LOLA11 grand challenge.

Experience

Researcher PhD Candidate

RadboudUMC

Mar 2018 - Mar 2022

• Focused on object localization and segmentation of medical images using deep learning methods. e.g. graph neural networks and convolution neural networks.
  • My lung lobe Segmentation algorithm is available [online][paper]
  • My airway labeling algorithm is available [online][paper][lecture][code]
  • My weakly-supervised lesion segmentation algorithm is published.
  • My unsupervised emphysema subtyping method is [published][presentation].
• Key skills: Pytorch, Python/Numpy, Latex

Computer Vision Research Engineer

JianPei Technology

Sep 2015 - Feb 2018

• Focused on lesion detection in Chest CT images
  • Developed a pulmonary nodule detection algorithm on chest CT images. The algorithm ranks the global runner-up of the LUNA16 grand challenge.
  • Implemented a data-annotation tool using JavaFX to let analysts label medical images.
  • Developed a pneumothorax detection/segmentation system for x-ray images, achieved DICE 0.892.
  • Led a team in developing cloud-based CADe platforms, which are being used in multiple clinical centers in China.
  • Promoted to be the head of the department in 2017.
• Public activities including:
  • Speaker in the Westlake healthcare forum 2016 with 2k+ audience.
  • Helped the company host the Westlake healthcare forum 2017.
  • Helped the company CEO to present our nodule detection system in the national television program (CCTV) Artificial Intelligence VS Human Intelligence 20171222.
• My patents: CN108062779A, CN106934228A
• Key skills: C++, Python/Numpy, Django, Docker, MongoDB.

Software Engineer

Avain Technologies

Oct 2014 - Oct 2015

• I developed a real-time monitoring system for tracking and analyzing patient conditions based on their time-series data from the bedside monitors.
• Key skills: C++, Python/Numpy, Django, Docker, MongoDB.

Research Assistant

Tampere University of Technology

Mar 2011 - Sep 2014

• I participated in developing a content-based image retrieval platform. My task is to develop:
  • an incremental training method for support vector machines such as new users’ feedbacks can be used to update existing models without the need to train all data from scratch (published)
  • a learning to rank method for improving ranking performance in our retrieval system (published).
• Key skills: support vector machines, particle swarm optimization, learning to rank, SIFT/HOG/LBP.

Senior Software engineer

Tieto

Sep 2009 - June 2010

• I participated in developing an instant-messaging mobile application based on a rich communication suite on the Nokia S60 platform using Symbian C++. The App was distributed in Nokia N series products.

• Key skills: Symbian C++.

Senior Software engineer

Neusoft

June 2007 - June 2009

• I worked on the IMPS (instant messaging and presence service framework) project, in developing an instant-messaging mobile app using Symbian C++. Awarded by the company with the best rookie year performance at the end of 2007 and promoted to be a team leader in 2008.

• Key skills: Symbian C++.

Education

School	Degree	Major	GPA	Award
Radboud University Medical Center	Ph.D.	Medical Image Analysis	-	-
Tampere University of Technology	Master of Science	Signal Processing	4.0	-
Beijing Technology and Business University	Bachelor of Science	Software Engineering	4.0	3rd-class scholarship 2005, 2nd-class scholarship 2006

Skills

• Machine Learning toolkits: Pytorch, Tensorflow, scikit-learn
• Algorithms: Evolutionary algorithms, Deep Learning (CNN, GNN, RNN), Support Vector Machines, Graph Modeling, Stochastic process.
• Programming: Python, C/C++, Matlab, SQL, Java, Matlab, Git, Bash
• Writing: Latex (Overleaf), Markdown (Typora), English, Chinese