个人简历

王贝伦
Beilun Wang's Personal Webpage
Short Bio
I am an associate professor in Southeast University, China. Before join SEU, I was a Ph.D. student in the Department of Computer Science at the University of Virginia, working with Prof. 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. from Department of Mathematics, Nanjing University, Nanjing in June of 2013.
Education
Present:
Ph.D. in Computer Science 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.

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)

研究领域

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近期论文

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