Research Projects
Probabilistic programming languages and Bayesian inference
 Bayesian Logic (BLOG) and its inference system.
Time series learning
 Intracranial modeling
 Human motion and motion capture analysis (finished) natural motion stitching
 data center monitoring (finished)
 Tensor time series
Parallel/Distributed machine learning
 Parallel algorithms for graphical model on multicore : (finished)
Network analysis
 social network and social media analysis
 CDEM :fly embryo gene pattern mining. (finished)
Talks and Tutorial
 BLOG language and compiled inference. Computer Science department, Stanford University, Tsinghua University, 2015.
 2015 Invited Keynote at China Computer Federation Young Computer Scientists and Engineers Forum: Deep Learning – Towards More Intelligent Machines.
 2014 PPAML Summer School, lecture on BLOG .
 2013 TAMU Fish Bowl Seminar
 KDD 2010 Tutorial on Time Series

Parsimonious Linear Fingerprinting for time series, Machine
learning lunch seminar, CMU, Nov, 2010. [
PPT
]
 Fast Algorithms for Mining Coevolving Time Series. SMU, NUS, SJTU, Dec 2009. [ PPT ]
 Fast Algorithms for Mining and Summarizing Coevolving Sequences, HKUST. 2009.[ Poster ]
 Machine Learning Lunch seminar, CMU, Oct 6, 2008. [ PPT ]