Associate Research Scientist @ Columbia University
Postdoctoral Research Scientist @ Columbia University in the City of New York
Research Engineer @ National University of Singapore
Education:
About:
- 7+ years research experience on image/video content understanding and search.
- Effective teamwork and mentoring.
- Strong publications in top tier conferences and journals (ACM MM, WWW, CVPR, ECCV, ICCV, TIP).
- Citation : 935.
- H-Index=13.
Associate Research Scientist @ Lead a team to develop EventNet, a large scale concept ontology with hierarchical structure, for concept
- 7+ years research experience on image/video content understanding and search.
- Effective teamwork and mentoring.
- Strong publications in top tier conferences and journals (ACM MM, WWW, CVPR, ECCV, ICCV, TIP).
- Citation : 935.
- H-Index=13.
Associate Research Scientist @ Lead a team to develop EventNet, a large scale concept ontology with hierarchical structure, for concept based semantic indexing on event videos. Develop sophisticated machine learning methods as concept classifiers to obtain strong event detection performance. From January 2014 to Present (1 year 8 months) Columbia University in the City of New YorkPostdoctoral Research Scientist @ Work on large-scale video event detection, object detection, video retrieval, and social media network. Define research directions, formulate research problems, guide students to work out solutions, and summarize research results in academic papers. From May 2011 to January 2014 (2 years 9 months) Research Engineer @ Work on advanced statistical learning models such as multi-edge graph model, sequential multi-class classification, hashing based similarity search, and sparse & low rank representation. From December 2009 to April 2011 (1 year 5 months) Research Intern @ Work on content-based tag processing for Internet social images such as tag ranking, tag refinement, tag-to-region assignment, semi-automatic tagging, and tag-based social media retrieval. From January 2008 to December 2009 (2 years)
Ph.D., Computer Science @ Harbin Institute of Technology From 2007 to 2011 Liu Dong is skilled in: Matlab, Algorithms, Machine Learning, LaTeX, Pattern Recognition, Image Processing, Computer Science, Python, Data Mining, Artificial Intelligence, Computer Vision, Statistics, Signal Processing