陈欢欢 | |||||||
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获奖情况:
2015年国际神经网络学会青年科学家奖(International Neural Network Society (INNS) Young Investigator Award)
2009年度IEEE Transactions on Neural Networks Outstanding最佳论文奖 (2012年颁发)
2011年IEEE计算智能学会杰出博士论文奖 (Outstanding PhD Dissertation Award)
英国计算机学会杰出博士论文奖
主要论著:
[01] Huanhuan Chen, Peter Tino, and Xin Yao. Efficient Probabilistic Classification Vector Machine with Incremental Basis Function Selection. IEEE Transactions on Neural Networks and Learning Systems. Early access online. DOI: 10.1109/TNNLS.2013.2275077
[02] Huanhuan Chen, Peter Tino, Ali Rodan and Xin Yao. Learning in the Model Space for Cognitive Fault Diagnosis. IEEE Transactions on Neural Networks and Learning Systems. Early access online. DOI: 10.1109/TNNLS.2013.2256797
[03] Huanhuan Chen, Fengzhen Tang, Peter Tino and Xin Yao. Model-based Kernel for Efficient Time Series Analysis. In Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'13), pages 392-400, Chicago, USA, August 11-14, 2013. (Oral presentation).
[04] Rodrigo G. F. Soares, Huanhuan Chen and Xin Yao. Semi-supervised Classification with Cluster Regularisation. IEEE Transactions on Neural Networks and Learning Systems. vol.23, no.11, pp.1779-1792, November 2012.
[05] 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.
[06] 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. IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2012)
[07] 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.
[08] 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.
[09] 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.
[10] 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.
[11] 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.
[12] 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)
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.