1) Model-based Kernel for Efficient Time Series Analysis , KDD'13 , 2013 ,
2) Probabilistic Classification Vector Machines (IEEE Transactions on Neural Networks Outstanding 2009 Paper Award) , IEEE Transactions on Neural Networks , 2009 , 2009, no. 6
3) Learning in the Model Space for Cognitive Fault Diagnosis , IEEE Transactions on Neural Networks and Learning , 2013 , DOI: TNNLS.2013.2256797
4) Multi-objective Neural Network Ensembles based on Regularized Negative Correlation Learning , IEEE Transactions on Knowledge & Data Engineering , 2010 , 2010, no. 12
5) Regularized Negative Correlation Learning for Neural Network Ensembles , IEEE Transactions on Neural Networks , 2009 , 2009, no. 12
6) Predictive Ensemble Pruning by Expectation Propagation , IEEE Transactions on Knowledge & Data Engineering , 2009 , 2009, no. 7
7) Evolving Least Squares Support Vector Machines for Stock Market Trend Mining , IEEE Transactions on Evolutionary Computation , 2009 , 2009, no. 2
8) Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach , IJCAI'11 , 2011 , 2011
9) Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar , ECAI'10 , 2011 , 2011
10) Probabilistic Conic Mixture Model and its Applications to Mining Spatial Ground Penetrating Radar Data , Workshop in SIAM Conference on Data Mining （WSDM） , 2010 , 2010
11) Probabilistic Robust Hyperbola Mixture Model for Interpreting Ground Penetrating Radar Data , IEEE World Congress on Computational intelligence , 2010 , 2010
12) Evolutionary Random Neural Ensemble based on Negative Correlation Learning , IEEE Congress on Evolutionary Computation , 2007 , 2007