Selected Publications

. VAE Learning via Stein Variational Gradient Descent. In NIPS, 2017.

Preprint PDF

. Variational Gaussian Copula Inference. In AISTATS, 2016.

Preprint PDF Code Poster

. Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise. In SIIMS, 2015.

Preprint PDF Code

. Dynamic Rank Factor Model for Text Streams. In NIPS, 2014.

Preprint PDF Poster

. Hierarchical Infinite Divisibility for Multiscale Shrinkage. In IEEE-TSP, 2014.


. Integrated Non-Factorized Variational Inference. In NIPS, 2013.

PDF Poster Slides

. Cross-Domain Multitask Learning with Latent Probit Models. In ICML, 2012.

Preprint PDF Poster

Professional Activities


  • Journal of Machine Learning Research (JMLR)
  • Journal of the American Statistical Association (JASA)
  • The Canadian Journal of Statistics (CJS)
  • IEEE Transactions on Signal Processing (TSP)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • SIAM Journal on Imaging Sciences (SIIMS)
  • Electronic Journal of Statistics (EJS)
  • Statistics and Computing (Springer)
  • Journal of Artificial Intelligence Research (JAIR)

Program Committee Member

  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Machine Learning (ICML)
  • International Conference on Learning Representations (ICLR)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • Conference on Uncertainty in Artificial Intelligence (UAI)
  • Asian Conference on Machine Learning (ACML)


  • The American Statistical Association (ASA) DataFest, 2016-2019
  • Duke Datathon, Duke Undergraduate Machine Learning, 2018

Teaching and Mentoring

I received the Charles Rowe Vail Memorial Outstanding Graduate Teaching Award from Duke University in 2013 - 2014