Curriculum Vitae

Education

2007-2011       Bachelor of Science in Engineering, Geodesy

China University of Mining and Technology, Beijing

2011-2014     Master of Science, Geographical Information System

China University of Mining and Technology, Beijing

2014-2019     PhD , Photogrammetry and Computer Vision

University of Twente

Academic Knowledge

Mathematics: Calculus, Linear algebra, Probability and statistics, Discrete mathematics

Geodesy: Surveying engineering

Geo-information: Geographical information system

Photogrammetry and Computer Vision: Feature extraction, segmentation and classification (point cloud & image), knowledge driven

Image processing: Image filter, Feature engineering

Machine Learning: SVM, Random Forest, Gaussian Mixture Model, Naive Bayes, Probabilistic graphical model

Deep Learning: Convolutional Neural Network, Recurrent Neural Network...

Awards

2009, 2010

2012

2022

National endeavour scholarship

National scholarship

National Surveying and Mapping Science and Technology Award

Courses taken

Computer Vision by Learning (by Cees Snoek, Arnold Smeulders and Efstratios Gavves at University of Amsterdam)

Computer Vision (by Aaron Bobick, online)

Machine Learning (by Andrew Ng, online)

Neural Networks (by Hugo Larochelle, online)

Probabilistic Graphical Models (by Daphne Koller, online)

Working & Experience

2011       Internship in a drone start-up company

- Manipulation of UAV and its manufacturing process

- Developing software for 3D reconstruction from UAV images

2014       Beijing General Research Institute of Mining &Metallurgy

- Software Engineer

2017       Finnish Geospatial Research Institute

- Research Scientist

Research & Project

2011-2014     Speeding up structure from motion by using flight control data

China University of Mining & Technology, Beijing

- Implementation of the speeding up of structure from motion by using flight control data (MFC, C++ )

- Large scale UAV sequenced images structure from motion and dense matching.

2014     Smart Mining Project - The pre-warning system

Beijing General Research Institute of Mining & Metallurgy (BGRIMM)

- The implementation of pre-warning system (WebGIS, Javascript, Database, CSS, Tomcat)

2017     BigData project

Finnish Geospatial Research Institute (Finland).

- Urban objects classification in mobile laser scanning data.

- Street furniture interpretation in mobile laser scanning data.

2014-2019     Street furniture detection and classification in Mobile Laser Scanning data

University of Twente

- Street furniture detection in mobile laser scanning data. (Feature extraction & Knowledge-driven)

- Street furniture segmentation in mobile laser scanning data. (Knowledge-driven)

- Street furniture interpretation in mobile laser scanning data. (Machine Learning & Probabilistic Graphical Model & Deep Learning)

2020-2021     Point cloud classification by deep learning techniques

LIESMARS, Wuhan University

2021-2023     High-fidelity digital twin technology for indoor service robots

College of Computer Science & the State Key Laboratory of CAD&CG at Zhejiang University

- 3D reconstruction of indoor scenes using RGB-D data

- Semantic & Instance Segmentation using deep neural networks

- CAD model retrieval & object pose estimation

- Digital twin visualization system

- High-fidelity simulator for indoor service robots

Reviewer

ISPRS Journal of Photogrammetry and Remote Sensing (Outstanding reviewer)

IEEE Transactions on Geoscience and Remote Sensing

IEEE Transactions on Intelligent Transportation Systems

CVPR (IEEE / CVF Computer Vision and Pattern Recognition Conference)

ICRA (IEEE International Conference on Robotics and Automation)

IEEE Geoscience and Remote Sensing Letters

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Autonomous Robots

Remote Sensing (Reviewer Board)

Sensors / Electronics / ISPRS International Journal of Geo-Information

Automation in Construction

IET Computer Vision

Awards

Outstanding Reviewer Award for ISPRS Journal of Photogrammetry and Remote Sensing

Languages

Chinese                              Native

English                               Proficiency

Dutch                                   A1

German                              Beginner (Wahrscheinlich. Ich weiss nicht)

Skills

OS

Linux/Unix, Windows

IDE

Emacs, QtCreator, VisualStudio.NET, Dev C++, Code::blocks, Clion, Eclipse, Notepad++

Library

OpenGL, PCL, CGAL, OpenCV, Tensorflow, Torch

Programming

C/C++, Python, HTML, CSS, Javascript

Scientific

Matlab/Octave, LaTeX