Research Projects
Probabilistic programming languages and Bayesian inference
Time series learning
Parallel/Distributed machine learning
Network analysis
 social network and social media analysis

CDEM
:fly embryo gene pattern mining. (finished)
Talks and Tutorial

EMNLP 2019 Tutorial on Discreteness in NLP.

CCFADL107/NLPCC 2019 Tutorial on Deep Generative Models for Text Generation.
 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
]