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Faculty

Defu Lian

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Lecturer

Education
2005.09 - 2009.06, School of Computer Science and Technology, University of Science and Technology of China, B.E.
2009.09 - 2014.06, School of Computer Science and Technology, University of Science and Technology of China, Ph.D.

Experience
2014.07 - now, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Lecturer
2014.02 - 2014.06, Knowledge Mining, Microsoft Research Asia, Visiting Student
2013.09 - 2014.01, High Performance Computing Center, University of Science and Technology of China, Visiting Student
2010.10 - 2013.08, Social and Urban Mining, Microsoft Research Asia, Visiting Student
2009.02 - 2009.08, Mobile and Local Search, Microsoft Research Asia, Visiting Student

Brief Research Statement
His research includes information retrieval, data mining and machine learning as well as their applications in spatial-temporal fields, with the aim of deep understanding human mobility behavior and expecting to influence or even change human daily routines. He has published over ten papers in prestigious conference and journals, such as KDD, WWW, GIS, PAKDD, TIST and so on.

Selected Publication
1. Lian D, Zhao C, Xie X, et al. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. Proc. of SIGKDD. 2014: 831-840.
2. Lian D, Xie X, Zheng V W, et al. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction. ACM Transactions on Intelligent Systems and Technology, to appear.
3. Lian D, Xie X. Mining Check-In History for Personalized Location Naming. ACM Transactions on Intelligent Systems and Technology, 2014, 5(2): 32.
4. Lian D, Zheng V W, Xie X. Collaborative filtering meets next check-in location prediction. Proc. of WWW. 2013: 231-232.
5. Lian D, Xie X. Learning location naming from user check-in histories. Proc. of SIGSPATIAL GIS. ACM, 2011: 112-121.