Bing Wang

Wang B; Singh HK; Ray T, 2021, 'Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization', in Evolutionary Multi-Criterion Optimization, Springer International Publishing, pp. 519 - 530, http://dx.doi.org/10.1007/978-3-030-72062-9_41

Wang B; Singh HK; Ray T, 2022, 'Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, http://dx.doi.org/10.1109/CEC55065.2022.9870350

Wang B; Singh HK; Ray T, 2021, 'Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization', in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, ACM, pp. 211 - 212, presented at GECCO '21: Genetic and Evolutionary Computation Conference, http://dx.doi.org/10.1145/3449726.3459466

Wang B; Singh HK; Ray T, 2021, 'Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, IEEE, pp. 1635 - 1642, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504815

Wang B; Merrick K; Abbass HA, 2015, 'Autonomous hypothesis generation as an environment learning mechanism for agent design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ., pp. 210 - 225, presented at ., ., 05 February 2015 - 07 February 2015

Wang B; Singh HK; Ray T, 2015, 'A multi-objective genetic programming approach to uncover explicit and implicit equations from data', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, IEEE Press, Sendai, Japan, pp. 1129 - 1136, presented at IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 24 May 2015 - 28 May 2015, http://dx.doi.org/10.1109/CEC.2015.7257016

Maher ML; Merrick K; Wang B, 2015, 'Reasoning and Making Sense of Data in the Absence of Goals', in Proceedings of the Third Annual Conference on Advances in Cognitive Systems, Advances in Cognitive Systems Workshop on Goal Reasoning, B, presented at Advances in Cognitive Systems Workshop on Goal Reasoning, B, 28 May 2015 - 31 May 2015

Wang B; Merrick K; Abbass HA, 2012, 'Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining', in Lecture Notes in Computer Science (LNCS), Springer, pp. 290 - 299, presented at The Ninth International Conference on Simulated Evolution and Learning, 16 December 2012 - 19 December 2012, http://dx.doi.org/10.1007/978-3-642-34859-4_29

Wang B; Pham TD, 2011, 'HMM-based brain age interpolation using kriging estimator', in ISPA 2011 - 7th International Symposium on Image and Signal Processing and Analysis, IEEE, Piscataway, NJ, United States, pp. 704 - 708, presented at 7th International Symposium on Image and Signal Processing and Analysis, ISPA 2011, Dubrovnik, Croatia, 04 September 2011 - 06 September 2011

Wang B; Pham TD, 2011, 'Estimating neuronal ageing with hidden Markov models', in AIP Conference Proceedings, volume 1371, American Institute of Physics, Toyama City, Japan, pp. 110 - 117, presented at 2011 International Symposium on Computational Models for Life Sciences, CMLS-11, Toyama City, Japan, 11 October 2011 - 13 October 2011, http://dx.doi.org/10.1063/1.3596633

Wang B; Singh HK; Ray T, 2021, 'Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization', Complex and Intelligent Systems, http://dx.doi.org/10.1007/s40747-021-00590-9

Manshu T; Bing W, 2019, 'Adding Prior Knowledge in Hierarchical Attention Neural Network for Cross Domain Sentiment Classification', IEEE Access, vol. 7, pp. 32578 - 32588, http://dx.doi.org/10.1109/access.2019.2901929

He J; Wang B; Fu M; Yang T; Zhao X, 2019, 'Hierarchical Attention and Knowledge Matching Networks With Information Enhancement for End-to-End Task-Oriented Dialog Systems', IEEE Access, vol. 7, pp. 18871 - 18883, http://dx.doi.org/10.1109/access.2019.2892730

Tu M; Wang B; Zhao X, 2019, 'Chinese Dialogue Intention Classification Based on Multi-Model Ensemble', IEEE Access, vol. 7, pp. 11630 - 11639, http://dx.doi.org/10.1109/access.2018.2887093

Li T; Wang B; Jiang Y; Zhang Y; Yan Y, 2018, 'Restricted Boltzmann Machine-Based Approaches for Link Prediction in Dynamic Networks', IEEE Access, vol. 6, pp. 29940 - 29951, http://dx.doi.org/10.1109/access.2018.2840054

Wang B; Merrick K; Abbass H, 2016, 'Cooperative co-evolutionary neural networks for mining functional association rules', IEEE Transactions on Neural Networks and Learning Systems, vol. 18 March 2016, pp. 1331 - 1344, http://dx.doi.org/10.1109/TNNLS.2016.2536104

Wang B; Pham TD, 2011, 'MRI-based age prediction using hidden Markov models', Journal of Neuroscience Methods, vol. 199, pp. 140 - 145, http://dx.doi.org/10.1016/j.jneumeth.2011.04.022

Pham TD; Salvetti F; Wang B; Diani M; Heindel W; Knecht S; Wersching H; Bernhard B; Berger K, 2011, 'The hidden-Markov brain: Comparison and inference of white matter hyperintensities on magnetic resonance imaging (MRI)', Journal of neural engineering, vol. 8, http://dx.doi.org/10.1088/1741-2560/8/1/016004