- Karen Jin and Dan Wu. Optimizing Local Computation for Cooperative Probabilistic Reasoning. In Proc. of the 24th International FLAIRS Conference 2011.
- Karen Jin and Dan Wu. Local Importance Sampling in Multiply Sectioned Bayesian Networks. In Proc. of the 23th International FLAIRS Conference 2010.
- Karen Jin and Dan Wu. MA-DBN: Modeling Cooperative Agents for Approximate Online Monitoring. In Proc. of the 21st IEEE Int'l Conference on Tools with Artificial Intelligence 2009.
- Dan Wu, Nasreen Tania and Karen Jin. Heuristic Assignment of CPDs for Probabilistic Inference in Junction Trees. In Proc. of the 21st IEEE Int'l Conference on Tools with Artificial Intelligence 2009.
- Karen Jin and Dan Wu. On Designing Approximate Inference Algorithms for Multiply Sectioned Bayesian Networks. In Proc. of the 2009 IEEE International Conference on Granular Computing 2009.
- Karen Jin and Dan Wu. An Architecture for Iterative Multi-agent Belief Updating. In Proc. of the 2008 International Conference on Computer Science and Software Engineering.
- Karen Jin and Dan Wu. Marginal Calibration in Multi-agent Probabilistic Systems. In Proc. of the 20th IEEE Int'l Conference on Tools with Artificial Intelligence 2008.
- Karen Jin and Dan Wu. Towards a Faster Inference Algorithm in Multiply Sectioned Bayesian Networks. In Proc. of the 21st Canadian Conference on Artificial Intelligence 2008.
- Dan Wu and Karen Jin. Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application. In Proc. of the 18th International FLAIRS Conference 2006.
- Boubabuer Boufama and Karen Jin. Towards a fast and reliable dense matching algorithm. In Proceedings of International Conference of Vision Interface 2002. This paper has also appeared in Society of Manufacturing Engineers MS03-119 as a technical paper.