Zeng Yifeng

Associate Professor

Room: 2.2.12 Phone: +45 9940 8924 Fax: +45 9940 9798 Machine Intelligence group Department of Computer Science Aalborg University Selma Lagerlöfs Vej 300 DK-9220 Aalborg Denmark E-mail: yfzeng@cs.aau.dk

I manage the robotics laboratory in CS department.


Research Interests


Research Projects


Recent Publications

  1. Y. F. Zeng , Y. H. Pan, H. Mao and J. Luo, Improved Use of Partial Policies for Identifying Behavioral Equivalence, Accepted by the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS-12), Full Paper, 2012.

  2. Y. F. Zeng , P. Doshi, Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams, Journal of Artificial Intelligence Research, 43:211-255, 2012.

  3. Y. F. Zeng , P. Doshi, Y. H. Pan, H. Mao and M. Chandrasekaran, Utilizing Partial Policies for Identifying Equivalence of Behavioral Models, In Proceedings of The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), pp.1083-1088, 2011.

  4. Y. F. Zeng , C. He and Y. P. Xiang, Dynamic Ordering-based Search Algorithm for Markov Blanket Discovery, In Proceedings of The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-11), pp.420-431, 2011.

  5. Y. F. Zeng , Y. K. Chen and P.Doshi, Approximating Behavioral Equivalence of Models Using Top-K Policy Paths, In Proceedings of International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-11), pp.1229-1230, 2011.

  6. D. Christensen, H. O. Hansen, J. P. Cordero Hernandez, L. Juul-Jensen, K. Kastaniegaard and Y. F. Zeng , A Data-driven Approach for Resource Gathering in Real-time Strategy Games, In Agent and Data Mining Interaction (ADMI), 2011.

  7. Y. F. Zeng, Y. K. Chen and P. Doshi, Approximating Model Equivalence in Interactive Dynamic Influence Diagrams Using Top-K Policy Paths, In Proceedings of 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-11), pp.208-211, 2011.

  8. L. Sun, Y. F. Zeng and Y.P. Xiang, An Influence Diagram Approach for Multiagent Time-Critical Dynamic Decision Modeling, In Proceedings of the Eleventh Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010), pp. 674-680, 2010. (PDF)

  9. Y. F. Zeng and Y.P. Xiang, Time-Critical Decision Making in Interactive Dynamic Influence Diagram, In Proceedings of 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 10), pp. 149-156, 2010. (PDF)

  10. P. Doshi, Muthukumaran Chandrasekaran and Y. F. Zeng , Epsilon-Subjective Equivalence of Models for Interactive Dynamic Influence Diagrams, In Proceedings of 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 10), pp. 165-172, 2010. (PDF)

  11. Martin Midtgaard, Lars Vinther, Jeppe R. Christiansen, Allan M. Christensen and Y. F. Zeng , Time-based Reward Shaping in Real-Time Strategy Games, In Agent and Data Mining Interaction (ADMI), LNCS/LNAI, Springer, 2010. (PDF)

  12. Muthu Kumaran, P. Doshi and Y. F. Zeng , Approximate Solutions of Interactive Dynamic Influence Diagrams Using epsilon-Behavioral Equivalence. In International Symposium on Artificial Intelligence and Mathematics (ISAIM 2010), Ft. Lauderdale, Florida. (PDF)

  13. Y. F. Zeng and P.Doshi, Model Identification in Interactive Influence Diagrams Using Mutual Information, In Journal of Web Intelligence and Agent Systems (WIAS), 8, pp. 313-327, IOS Press, 2010. (PDF)

  14. Y. F. Zeng, Y. P. Xiang, C.H. Jorge, Y. J. Lin, Learning Local Components to Understand Large Bayesian Networks. In Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 1076-1081, 2009. (PDF)

  15. K. T. Andersen, Y. F. Zeng, D. Tran and D. D. Christensen, Experiments with Online Reinforcement Learning in Real-Time Strategy Games, In Applied Artificial Intelligence: An International Journal, 23(9): 855-871, 2009. (PDF)

  16. Y. F. Zeng and P.Doshi, Speeding Up Exact Solutions of Interactive Dynamic Influence Diagrams Using Action Equivalence, In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 1996-2001, 2009. (PDF)

  17. J. R. Olesen, C.H. Jorge and Y. F. Zeng , Auto-Clustering using Particle Swarm Optimization and Bacterial Foraging, In Agent and Data Mining Interaction (ADMI), LNCS/LNAI, pp. 69-83, Springer, 2009. (PDF)

  18. Y. F. Zeng and C.H. Jorge, Spanning Tree Based Attribute Clustering, In Proceedings of the Thirteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), pp. 681-688, 2009. (PDF)

  19. P. Doshi and Y. F. Zeng , Improved Approximation of Interactive Dynamic Influence Diagrams Using Discriminative Model Updates, In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 09), pp. 907-914 , 2009. (PDF)

  20. Y. F. Zeng , Y.P Xiang and P. Saulius, Refinement of Bayesian Network Structures upon New Data, In International Journal of Granular Computing, Rough Sets and Intelligent Systems, 1(2), pp. 203-220, 2009. (PDF)

  21. Y. F. Zeng , J. Luo and S. Y. Lin, Classification Using Markov Blanket for Feature Selection, In Proceedings of 2009 IEEE International Conference on Granular Computing (GrC), pp. 743-747, 2009. (PDF)

  22. K. T. Andersen, Y. F. Zeng , D. Tran and D. D. Christensen, Tank War Using Online Reinforcement Learning, In Proceedings of 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 09), pp. 497-500, 2009. (PDF)

  23. P. Doshi, Y. F. Zeng and Q.Y. Chen, Graphical Models for Interactive POMDPs: Representation and Solutions, Journal of Autonomous Agents and Multi-Agent Systems, 18(3): 376-416, 2009. (PDF)

  24. Y. F. Zeng and K.L. Poh, Multiagent Graphical Decision Models in Medicine, In Applied Artificial Intelligence: An International Journal, 23(1): 103-122, 2009. (PDF)


Full Publications


Teaching


Demos of Teaching and Research Outputs


Students/Projects Supervision