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)
- 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. [
- Fast Algorithms for Mining Co-evolving Time Series. SMU, NUS, SJTU, Dec 2009. [ PPT ]
- Fast Algorithms for Mining and Summarizing Co-evolving Sequences, HKUST. 2009.[ Poster ]
- Machine Learning Lunch seminar, CMU, Oct 6, 2008. [ PPT ]