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Lei Li is currently a Ph.D. candidate at Computer Science Department, Carnegie Mellon University. Lei Li is received his B.E. degree from the Department of Computer Science and Engineering, Shanghai Jiao Tong University. His research interests include machine learning, data mining, time series analysis, and motion capture data.
Indexing and Mining Time Sequences
as author at Tutorials,
together with: Christos Faloutsos,
Efficient Parallel Learning of Linear Dynamical Systems on SMPs
as author at Carnegie Mellon Machine Learning Lunch seminar,