Contact Information: Email: jingxu AT cs.ucr.edu Mailing address: Department of Computer Science & Engineering University of California, Riverside Riverside, CA 92521 EBU II Room 368 Lab Phone: (951)827-2522

Education

• Ph.D. in Computer Science (2010.08), University of California, Riverside
  
• B.S.   in Computer Science (2004.06), Chu Kochen Honors College, Zhejiang University

Research Experience

• Research Assistant (2005.09 - 2010.08):
  Riverside Lab for Artificial Intelligence Research
  
• Research Intern (2007.06 - 2007.12):
  Distributed Detection and Inference Group, Intel Research, Santa Clara, CA.

Publications

Jing Xu (2010). "A Continuous Time Bayesian Network Approach for Intrusion Detection." Doctoral Dissertation, University of California, Riverside.
Jing Xu and Christian R. Shelton (2010). "Intrusion Detection using Continuous Time Bayesian Networks." Journal of Artificial Intelligence Research (JAIR), 39, 745-774.
Yu Fan, Jing Xu and Christian R. Shelton (2010). "Importance Sampling for Continuous Time Bayesian Networks." Journal of Machine Learning Research (JMLR), 11(Aug), 2115-2140.
Christian R. Shelton, Yu Fan, William Lam, Joon Lee and Jing Xu (2010). "Continuous Time Bayesian Network Reasoning and Learning Engine." Journal of Machine Learning Research (JMLR), 11(Mar) 1137-1140.
Jing Xu and Christian R. Shelton (2008). "Continuous Time Bayesian Networks for Host Level Network Intrusion Detection." European Conference on Machine Learning. (ECML/PKDD)(LNAI, vol 5212)(pp.613-627) © Springer-Verlag.
John Mark Agosta, Jaideep Chandrashekar, Frederic Giroire, Carl Livadas and Jing Xu (2007). "Approaches to Anomaly Detection using Host Network-Traffic Traces." Neural Information Processing Systems(NIPS) workshop on Machine Learning for Systems Problems (MLSys).
Jing Xu and Christian R.Shelton (2006). "Applying CTBNs on Host-level Network Anomaly Detection." Workshop on Women in Machine Learning (WIML).

Services

Teaching