Former Member of Decision Systems Laboratory
AREAS OF SPECIALIZATION
Reasoning Under Uncertainty, Data Mining, Bayesian Networks, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), Quasi-Monte Carlo Methods (QMC), Decision Analysis and Decision Support Systems
Probabilistic Language Modeling, Automatic Speech Recognition (ASR)
Jian Cheng and Marek J. Druzdzel. Confidence inference in Bayesian networks, In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI-2001), pp. 75-82, Seattle, WA, Morgan Kaufmann Publishers, 2001.
Jian Cheng. Sampling algorithms for estimating the mean of bounded random variables. Computational Statistics, 16(1), 1-23, 2001.
Jian Cheng and Marek J. Druzdzel. AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks. Journal of Artificial Intelligence Research, 13:155-188, 2000.
Jian Cheng and Marek J. Druzdzel. Computational investigations of low-discrepancy sequences in simulation algorithms for Bayesian networks. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI-2000), pp. 72-81, Stanford, CA, Morgan Kaufmann Publishers, 2000.
Jian Cheng and Marek J. Druzdzel. Latin hypercube sampling in Bayesian networks. In Proceedings of the Thirteenth International Florida Artificial Intelligence Research Symposium Conference (FLAIRS-2000), pp. 287-292, Orlando, Florida, AAAI Publishers, 2000.
May 1997---April 2001
Department of Information Science
and Telecommunications, University of
Research Area: Approximate Reasoning in Bayesian Networks; Advisor: Marek J. Druzdzel
Thesis Title: Efficient Stochastic Sampling Algorithms for Bayesian Networks
Thesis Committee: Marek J. Druzdzel, Gregory F. Cooper, Roger R. Flynn, Satish Iyengar, Jeff Schneider
January 1997---May 1997
September 1993---July 1996
September 1986---July 1991
May 1997---December 2000
Assistant. Department of Information Science and Telecommunications,
University of Pittsburgh
Researching in Uncertainty in Artificial Intelligence; Programming for SMILE/GeNIe, responsible for most part of the programming in interface (e.g. MDI, Sub-models, drawing nodes and arcs.). My research results in sampling algorithms have been integrated into SMILE.
May 2000---August 2000
internship in Adaptive
Systems & Interaction group (ASI), Microsoft
Transferring Troubleshooting Wizard from MSBN32 to MSBNx. Researching in inference algorithms for dynamic Bayesian networks (DBN), which can be used in User Modeling and Intelligent User Interfaces. Mentor: Eric Horvitz.
January 1997---May 1997
Assistant. Department of Electrical Engineering, Stevens Institute of
Researching in Stereoscopic Video Coding, MPEG-2. Understanding MPEG-2 video compress / uncompress algorithms completely.
July 1994---December 1996
Assistant, Image Department, Automation Institute, Chinese Academy of Sciences
Researching in Image Processing, Multimedia; Programming.
modified: Dec. 19, 2001
Jian cheng, firstname.lastname@example.org