王贝伦 - 东南大学

个人简介

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)

近期论文

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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