Beilun Wang's Personal WebpageEmail:
beilun@seu.edu.cn

Short BioI am an associate professor in Southeast University, China. Before join SEU, I was a Ph.D. student in theDepartment of Computer Scienceat the University of Virginia, working withProf. Yanjun Qi. I was 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. fromDepartment of Mathematics,Nanjing University, Nanjing in June of 2013.EducationPresent:
Ph.D. in Computer ScienceDepartment of Computer Science, inUniversity of Virginia.

2013 June:
I received my B.S. in June of 2013 fromDepartment of Mathematics,Nanjing University, Nanjing.

Publications (not updated)Submit to AISTAT 2018
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure,
Beilun Wang, Arshdeep Sekhon, Yanjun Qi(link)

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

Preprint
A Constrained, Weighted-`1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs,
Chandan Singh,Beilun Wang, Yanjun Qi(link)

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)