Dr. Ying
Guo
ICT Centre
Commonwealth
Scientific and Industrial Research Organization (CSIRO), Australia
Senior Research Scientist
Email: Ying.Guo@csiro.au
Qualifications
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)
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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