Jian Zhang

Selected Publications

• Classification of Android Apps and Malware Using Deep Neural Networks,
  with R. Nix
  in International Joint Conference on Neural Networks, 2017

• ToPoMine: A Graph Miner for Analysis of Atom Dynamics Simulation Data in Materials Science.
  with S. Shakya, and B. Karki
  in Intelligent Data Analysis, 20(5), 1182-1198, 2016

• Analyzing Molecular Dynamics Scattered Data for Large Atomic Movements,
  with S. Shakya, and B. Karki
  in Computational Materials Science, 95: 198-206, 2014

• Towards Better Base Classifiers for Ensemble Classification of Gene Expression Data,
  with W. Duncan
  in Proceedings of International Conference on Bioinformatics and Computational Biology, 2013.

• Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification,
  in Proceedings of 10th IEEE International Conference on Machine Learning and Applications, 2011

• Transferred Correlation Learning: An Incremental Scheme for Neural Network Ensembles,
  with J. Lei and G. Allen
  in Proceedings of International Joint Conference on Neural Networks, 2010.

• Gaussian Process Learning for Cyber-Attack Early Warning,
  with Phil Porras and Johannes Ullrich,
  in Statistical Analysis and Data Mining 3(1): 56-68, 2010.
  

• Graph Distances in the Streaming Model: The Value of Space,
  with Joan Feigenbaum, Sampath Kannan, Andrew McGregor, and Siddharth Suri,
  in SIAM Journal of Computing 38: 1709-1727, 2008.
  

• Highly Predictive Blacklisting,
  with Phil Porras and Johannes Ullrich
  in Proceedings of the 17th USENIX Security, 2008.
  Winner of the best paper award

• Finding Highly Correlated Pairs Efficiently with Powerful Pruning,
  with Joan Feigenbaum,
  in Proceedings of ACM Conference on Information and Knowledge Management (CIKM), 2006, pp. 152-161.

• Efficient Algorithms for Constructing (1+ε,β)-Spanners in the Distributed and Streaming Models,
  with Michael Elkin,
  in Distributed Computing 18(5):375-385, 2006