Beilun Wang's Personal Webpage

Email:  

bw4mw@virginia.edu

Short Bio

I am a 4th year Ph.D. student in the Department of Computer Science at the University of Virginia, working with Prof. Yanjun Qi . I'm also a member of UVA "Machine Learning and Biomedicine" Group. My research interest is Machine learning, especially Graphical Model and Adversarial Machine Learning. Before that I received my B.S. from Department of Mathematics, Nanjing University, Nanjing in June of 2013.

Education

Present:  

I am a fourth year PhD student at the Department of Computer Science , in University of Virginia.

2013 June:  

I received my B.S. in June of 2013 from Department of Mathematics, Nanjing University, Nanjing.

Publications

ICLR17 Workshop  

A Theoretical Framework for Robustness of (DEEP) Classifier Against Adversarial Samples,
Beilun Wang, Ji Gao, Yanjun Qi ( link)

ICML 2016 WCB
(Workshop on Computational Biology)
Spotlights Talk
Travel Award (4 out of 50)
 

A constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models,
Beilun Wang, Rita Singh, Yanjun Qi ( link)

AISTAT 2017  

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models,
Beilun Wang, Ji Gao, Yanjun Qi

PSB 2017  

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks,
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi ( link)

ACM-TKDD 2016  

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data,
Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi ( link)