Guodong Long
Professor
Centre for Artificial Intelligence
University of Technology Sydney
Australia
Biography
Dr Long joined UTS at 2010, and obtained his PhD degree from UTS in 2014. Before joined UTS, he has more than six years industry R&D working experience. He is currently leading a research group to conduct application-driven research on machine learning and data mining. Particularly, his research interests focus on several application domains, such as Healthcare, Smart Home, NLP, Education, and Social Media.
Research Interest
Dr. Long published 20+ papers on ERA Rank A conference (e.g. AAAI, ICDM, and CIKM) and journal (e.g. TKDE, TKDD, TCYB, WWW and Pattern Recognition). He currently focuses on application driven research that aim to develop innovative ideas inspired by industry partner's real requirements.
Publications
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Jiang X, Liu W, Cao L, Long G. Coupled Collaborative Filtering for Context-aware Recommendation. InAAAI 2015 Jan 25 (pp. 4172-4173).
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Zhang Q, Zhang P, Long G, Ding W, Zhang C, Wu X. Towards mining trapezoidal data streams. InData Mining (ICDM), 2015 IEEE International Conference on 2015 Nov 14 (pp. 1111-1116). IEEE.
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Jiang J, Lu J, Zhang G, Long G. Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop. InServices (SERVICES), 2011 IEEE World Congress on 2011 Jul 4 (pp. 490-497). IEEE.
