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Dr. Ying Guo

Senior Research Scientist, ICT Centre

Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia


Email: Ying.Guo@csiro.au




2001  Ph.D.,  The Australian National University, Australia

1996  M.S., the Northwestern Polytechnic University, China

1994  B.S., the Northwestern Polytechnic University,. China


Publications (selected)

  1. Y. Guo, J. Wall, J. Li, S. West, A Machine Learning Approach for Fault Detection in Multi-variable Systems, ATES in conjunction with Tenth Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) AAMAS 2011, Taipei, Taiwan, May 2011.
  2. D. Dehestani, S. Su, Y. Guo, H. Nguyen, S. Ling, Intelligent Fault Detection and Isolation of HVAC System Based on Online Support Vector Machine, 3rd International Conference on Machine Learning and Computing (ICMLC 2011), Singapore, February 26-28, 2011
  3. J. Wall, Y. Guo, J. Li and S. West, “A Dynamic Machine Learning-based Technique for Automated Fault Detection in HVAC Systems”, ASHRAE Annual Conference, June 25-29, 2011, Montreal.
  4. Y. Guo, R. Li, A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management. Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications. pp. 198-212. October 2010.
  5. S. Su, S. Huang, L. Wang, B. Celler, A. Savkin, Y. Guo, and T. Cheng, Optimizing Heart Rate Regulation for Safe Exercise, Annals of Biomedical Engineering, Vol. 38, No. 3, March 2010, pp. 758–768.
  6. Y. Guo, G. Poulton, P. Corke, G.J. Bishop-Hurley, T. Wark and D.L. Swain. "Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model", Ecological Modelling. Volume 220, Issue 17, September 2009, Pages 2068-2075.
  7. Y. Guo, A. Zeman, and R. Li, "A Reinforcement Learning Approach to Setting Multi-Objective Goals for Energy Demand Management", International Journal of Agent Technologies and Systems, 1(2), 55-70, 2009.
  8. T. Wark, P. Corke, P. Sikka, L. Klingbeil, Y. Guo, C. Crossman, P. Valencia, D. Swain and G. Bishop-Hurley. "Transforming agriculture through pervasive wireless sensor networks", IEEE Pervasive Computing, Vol 6(2), pp. 50-57, 2007.
  9. S.W. Su, L. Wang, B.G. Celler, A.V. Savkin and Y. Guo. Identification and Control for Heart Rate Regulation during Treadmill Exercise, IEEE Transaction on Biomedical Engineering. July 2007. 
  10. V. Gerasimov, Y. Guo, G. James, and G. Poulton. “Physically Realistic Self-assembly Simulation System”. In A. Abraham, C. Grosan, and V. Ramos (Eds.), Stigmergic Optimization, Series: Studies in Computational Intelligence, Vol. 31, Springer-Verlag, ISBN: 3-540-34689-9, pages 117-130, Hardcover, 2006.
  11. Y. Guo, G. Poulton, P. Valencia, and G. James, Designing self-assembly for 2-dimensional building blocks, In: Sven A. Brueckner, et al. (Eds.), Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering, LNAI 2977, pp. 75-89, Springer, 2004.
  12. Y. Guo, P. Bartlett, J. Shawe-Taylor, and R.. Williamson, Covering numbers for support vector machines, IEEE Trans. on Information Theory, Vol 48(1), pp. 239-250, 2002.
  13. T. Wark, C. Crossman, W. Hu, Y. Guo, P. Valencia, P. Sikka, P. Corke, C. Lee, J. Henshall, K. Prayaga, J. O'Grady, M. Reed, A. Fisher: The design and evaluation of a mobile sensor/actuator network for autonomous animal control. IPSN 2007: 206-215, April 2007
  14. Y. Guo, P. Corke, G. Poulton, T. Wark, G. Bishop-Hurley, and D. Swain. Animal Behaviour Understanding using Wireless Sensor Networks. IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp2006). Florida, USA, November 2006.
  15. Y. Guo, V. Gerasimov, and G. Poulton. Vision-Based Drivable Surface Detection in Autonomous Ground Vehicles. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2006). Beijing, China, October 2006.
  16. S. Su, L. Wang, B. Celler, A. Savkin, and Y. Guo. Modelling and Control for Heart Rate Regulation during Treadmill Exercise. IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBC2006). New York, USA.
  17. Y. Guo, J. Li and G. James “Evolutionary Optimisation of Distributed Energy Resources” The 18th Australian Joint Conference on Artificial Intelligence (AI’05), UTS, Sydney, Australia, 5-9 Dec 2005, pp. 1086-1091.
  18. J. Li, Y. Guo, G. Poulton, Critical damage reporting in intelligent sensor networks, 17th Australian Joint Conference on Artificial Intelligence (AI 2004), pp. 26-38, Cairns  Australia, December 2004.
  19. Y. Guo, G. Poulton, G. James, P. Valencia, V. Gerasimov, and J. Li, Designing stable structures in a multi-agent self-assembly system, the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), pp 405-408, Beijing, China, September 2004.
  20. V. Gerasimov, Y. Guo, G. James, G. Poulton, P. Valencia, Multi-agent self-assembly simulation environment, 3rd International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2004), pp. 1382-1383, New York, July 2004.
  21. G. Poulton, Y. Guo, P. Valencia, G. James, M. Prokopenko, and P. Wang, Designing enzymes in a multi-agent system based on a genetic algorithm, The 8th Conference on Intelligent Autonomous Systems (IAS-8), pp. 253-262, Amsterdam Netherlands, March 2004.
  22. Y. Guo, G. Poulton, P. Valencia, and G. James, Designing self-assembly for 2- dimensional building blocks, First International Workshop on Engineering Self-Organising Applications (ESOA 2003), pp. 45-52, Melbourne, Australia, July 2003.
  23. Y. Guo, G. Poulton, J. Li, M. Hedley, and R. Qiao, Soft margin AdaBoost for face pose classification, International Conference on Acoustics, Speech, & Signal Processing (ICASSP), vol. 3, pp. 221-224, HongKong, China, April, 2003.

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