Huanhuan Chen

• School of Computer Science,
• University Of Birmingham,
• Birmingham B15 2TT, U.K.

• Phone: +44 121 414 5142
• Email: H.Chen@cs.bham.ac.uk

Brief Biography

I am a member of CERCIA (The Centre of Excellence for Research in Computational Intelligence and Applications), School of Computer Science, University of Birmingham. Currently, I am working as a research fellow on an European funded project iSense: "make sense of nonsense", which employs intelligent machine learning and data mining techniques for fault detection.

Before taking this post, I have worked with Prof. Anthony G Cohn on an EPSRC funded project Mapping the Underworld and with Prof. Mark Viant on a BBSRC project "Automated metabolite identification and quantification using J-resolved NMR spectroscopy".

I obtained my Ph.D degree in School of Computer Science, University of Birmingham. My PhD topic is statistical machine learning and neural network ensembles and my Ph.D research was funded by Dorothy Hodgkin Postgraduate Awards.

My PhD thesis "Diversity and Regularization in Neural Network Ensembles" has received 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation award and 2009 CPHC/British Computer Society Distinguished Dissertations Award (the runner up).

Before moving to University of Birmingham, I studied the bachelor degree in Department of Electronic Science and Technology (BSc), University of Science and Technology of China from 2000 to 2004.

My main research interests are statistical machine learning, data fusion, neural network ensembles, Bayesian inference and evolutionary computation.

Awards

• IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2011)
• 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award
• BCS Distinguished Dissertations Award (the Runner up)
• Value in People (VIP) Award from the Wellcome Trust
• Dorothy Hodgkin Postgraduate Award.
• IEEE student travel grant for conference attendance

Publications

PhD Dissertation

• • Huanhuan Chen
  • Diversity and Regularization in Neural Network Ensembles.
  • School of Computer Science, University of Birmingham
  • 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award
  • British Computer Society Distinguished Dissertations Award (the Runner up).
  • Available online or here.

Referred Journal Papers

• • Huanhuan Chen, Peter Tino and Xin Yao.
  • Probabilistic Classification Vector Machines.
  • IEEE Transactions on Neural Networks.
  • vol.20, no.6, pp.901-914, June 2009. Available online or here
  • IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2011)
• • Huanhuan Chen and Xin Yao.
  • Multi-objective Neural Network Ensembles based on Regularized Negative Correlation Learning.
  • IEEE Transactions on Knowledge and Data Engineering.
  • vol. 22, no. 12, pp. 1738-1751, December 2010. Available online or here.
• • Huanhuan Chen and Xin Yao.
  • Regularized Negative Correlation Learning for Neural Network Ensembles.
  • IEEE Transactions on Neural Networks.
  • vol.20, no.12, pp.1962-1979, December 2009. Available online or here.
• • Huanhuan Chen, Peter Tino and Xin Yao.
  • Predictive Ensemble Pruning by Expectation Propagation.
  • IEEE Transactions on Knowledge and Data Engineering.
  • vol.21, no.7, pp.999-1013, July 2009. Available online or here
• • Lean Yu, Huanhuan Chen, Shouyang Wang and K. K. Lai.
  • Evolving Least Squares Support Vector Machines for Stock Market Trend Mining.
  • IEEE Transactions on Evolutionary Computation.
  • Vol 13, No. 1, Feb 2009. Available online or here.
• • Alex Royal, P.R. Atkins, Michael Brennan, David Chapman, Huanhuan Chen, Anthony Cohn, K Foo, Kevin Goddard, Russell Hayes, Tong Hao, P. L. Lewin, Nicole Metje, Jen Muggleton, Adham Naji, Giovanni Orlando, Steve Pennock, Miles Redfern, Adrian Saul, Steve Swingler, Ping Wang and C.D.F. Rogers.
  • Site Assessment of Multiple Sensor Approaches for Buried Utility Detection.
  • International Journal of Geophysics.
  • Available online or here.

Book Chapters

• • Huanhuan Chen, Anthony Cohn and Xin Yao.
  • Ensemble Learning by Negative Correlation Learning.
  • In Ensemble Learning: Theory and Application, Zhang Cha and Yunqian Ma (Ed.).
  • Springer-Verlag, 2012.
• • Arjun Chandra, Huanhuan Chen and Xin Yao
  • Trade-off between Diversity and Accuracy in Ensemble Generation.
  • In Multi-objective Machine Learning, Yaochu Jin (Ed.),
  • pp.429-464, Springer-Verlag, 2006. (ISBN: 3-540-30676-5) Available online.

Referred Conference Papers

• • Huanhuan Chen and Anthony G Cohn
  • Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach.
  • In Proceedings of the 22nd International Joint Conferences on Artificial Intelligence (IJCAI'11),
  • Barcelona, Spain, 2011. (both oral and poster presentations) Avaliable here. Oral presentation and poster presentation.
• • Huanhuan Chen and Anthony G Cohn
  • Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar.
  • In Proceedings of the European Conference on Artificial Intelligence (ECAI'10),
  • Lisbon, Portugal, 2010. Avaliable here.
• • Huanhuan Chen and Anthony G Cohn
  • Probabilistic Conic Mixture Model and its Applications to Mining Spatial Ground Penetrating Radar Data.
  • In Workshop in SIAM Conference on Data Mining (WSDM'10),
  • Columbus, 2010. Avaliable here.
• • Huanhuan Chen and Anthony G Cohn
  • Probabilistic Robust Hyperbola Mixture Model for Interpreting Ground Penetrating Radar Data
  • In Proceedings of the 2010 IEEE World Congress on Computational intelligence (WCCI'10),
  • Barcelona, 2010. Avaliable here.
• • Shan He, Huanhuan Chen, Xiaoli Li and Xin Yao.
  • Profiling of mass spectrometry data for ovarian cancer detection using negative correlation learning.
  • In Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN'09),
  • Cyprus, 2009. Available here.
• • Huanhuan Chen and Xin Yao.
  • Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity.
  • In Proceedings of International Conference on Intelligent Computing (ICIC'07),
  • pages 1162-1171, Qingdao, China, 2007. Available online or here.
• • Huanhuan Chen, Peter Tino and Xin Yao.
  • A Probabilistic Ensemble Pruning Algorithm.
  • In Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (WICDM'06),
  • Hong Kong, 2006. Available online or here.
• • Huanhuan Chen and Xin Yao.
  • Evolutionary Random Neural Ensemble based on Negative Correlation Learning.
  • In Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC'07),
  • Singapore, 2007. Available online or here.
• • Huanhuan Chen and Xin Yao.
  • Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection.
  • In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'06),
  • pages 971-978. Vancouver, Canada, 2006. Available online or here.

Tutorial in International Conference

• Ensemble Learning through Diversity Management: Theory, Algorithms, and Applications. The 2011 International Joint Conference on Neural Networks, San Jose, California, July 2011.

Special Session Organisation

• Data Regularisation, Fault and Anomaly Detection, Isolation and Mitigation. The 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012.

Conference Program Committees and Journal Reviewing

I am the program committee member for the following conferences:

• 2010 24th EUROPEAN Conference on Modelling and Simulation (ECMS'10)
• 2010 International Conference on Intelligent Information Processing (IIP'10)
• 23rd EUROPEAN Conference on Modelling and Simulation ( ECMS'09)
• 2010 International Joint Conference on Computational Sciences and Optimization (CSO'10)
• 2009 International Joint Conference on Computational Sciences and Optimization (CSO'09)

I am a reviewer for the following journals:

• IEEE Transactions on Neural Networks
• Neural Networks
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transaction on Systems, Man, and Cybernetics - Part B
• IEEE Transactions on Instrumentation & Measurement
• Pattern Analysis and Applications
• Advances in Artificial Intelligence

Visiting Research

• I have visited the Australian Defence Force Academy from May 2005 to July 2005 to conduct visiting research.