Qu, H.-B. and Hu, B.-G., “Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth”, Ecological Informatics, Vol. 4, pp. 163-176, 2009.
Hu, B.-G., Qu, H.-B., Wang, Y. and Yang, S.-H., “A generalized constraint neural networks model: Associating partially known relationships for nonlinear regressions”, Information Science, Vol. 179, pp. 1929-1943, 2009.
Xing,H. J. and Hu, B.-G., “Two-Phase Construction of Multilayer Perceptrons Using Information Theory”, IEEE Transactions on Neural Networks, Vol. 20, pp. 715-721, 2009.
Yang, S.H., Hu, B.-G. and Cournède, P.H., “Structural Identifiability of Generalized Constraints Neural Network Models for Nonlinear Regression”, Neurocomputing, Vol. 72, pp. 392-400, 2008.
Kang, M.-Z., Cournède, P.-H., de Reffye, P., Auclair, D., Hu, B.-G.,”Analytical study of a stochastic plant growth model: Application to the GreenLab model”, Mathematics and Computers in Simulation, Vol. 78, pp. 57-75, 2008.
Xing,H. J. and Hu, B.-G., “An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification”, Neurocomputing, Vol. 71, pp. 1008–1021, 2008.
X.-T. Yuan, and B.-G. Hu, “Robust Feature Extraction via Information Theoretic Learning”, The 26th International Conference on Machine Learning (ICML 2009).
X.-T. Yuan, B.-G. Hu, and R. He, “Agglomerative Mean-Shift Clustering via Query Set Compression”, 2009 SIAM International Conference on Data Mining (SDM’09).
S.-H. Yang and B.-G. Hu, “A Stagewise Least Square Loss Function for Classification”, Proceeding of the 2008 SIAM International Conference on Data Mining (SDM’08), pp.120-131, SIAM Press.
S.-H. Yang and B.-G. Hu, “Feature Selection by Nonparametric Bayes Error Minimization”, The 12th Pacific-Asian Conference on KDD (PAKDD’08), LNAI, Vol.5012, pp.417-428, Springer. ( Recipient of the Best Student Paper Award)。