7 citations · 18 across the 7 of their papers we have counts for
7 papers
Decomposable Sparse Tensor on Tensor Regression
Haiyi Mao, Jason Xiaotian Dou
Most regularized tensor regression research focuses on tensors predictors with scalars responses or vectors predictors to tensors responses. We consider the sparse low rank tensor…
Sampling Through the Lens of Sequential Decision Making
Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao +3
Sampling is ubiquitous in machine learning methodologies. Due to the growth of large datasets and model complexity, we want to learn and adapt the sampling process while training a…
COEM: Cross-Modal Embedding for MetaCell Identification
Haiyi Mao, Minxue Jia, Jason Xiaotian Dou +2
Metacells are disjoint and homogeneous groups of single-cell profiles, representing discrete and highly granular cell states. Existing metacell algorithms tend to use only one moda…
Impartial redistricting: a Markov chain approach to the "Gerrymandering problem"
Jason Dou
After every U.S. national census, a state legislature is required to redraw the boundaries of congressional districts in order to account for changes in population. At the moment t…
What Words Do We Use to Lie?: Word Choice in Deceptive Messages
Jason Xiaotian Dou, Michelle Liu, Haaris Muneer +1
Text messaging is the most widely used form of computer-mediated communication (CMC). Previous findings have shown that linguistic factors can reliably indicate messages as decepti…
"Draw My Topics": Find Desired Topics fast from large scale of Corpus
Jason Dou, Ni Sun, Xiaojun Zou
We develop the "Draw My Topics" toolkit, which provides a fast way to incorporate social scientists' interest into standard topic modelling. Instead of using raw corpus with primit…