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Dr Bing Wang

Dr Bing Wang

Research Associate
UNSW Canberra
School of Eng & Tech
E-mail
bing.wang@adfa.edu.au
Location
Room 104, Building 15
  • Book Chapters | 2021
    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 Nature, pp. 519 - 530,
  • Journal articles | 2024
    Wang X; Wang B; Pinskier J; Xie Y; Brett J; Scalzo R; Howard D, 2024, 'Fin-Bayes: A Multi-Objective Bayesian Optimization Framework for Soft Robotic Fingers', Soft Robotics, 11, pp. 791 - 801,
    Journal articles | 2023
    Wang B; Singh HK; Ray T, 2023, 'Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization', Complex and Intelligent Systems, 9, pp. 1193 - 1209,
    Journal articles | 2019
    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, 7, pp. 18871 - 18883,
    Journal articles | 2019
    Manshu T; Bing W; Wang B, 2019, 'Adding Prior Knowledge in Hierarchical Attention Neural Network for Cross Domain Sentiment Classification', IEEE Access, 7, pp. 32578 - 32588,
    Journal articles | 2019
    Tu M; Wang B; Zhao X, 2019, 'Chinese Dialogue Intention Classification Based on Multi-Model Ensemble', IEEE Access, 7, pp. 11630 - 11639,
    Journal articles | 2018
    Li T; Wang B; Jiang Y; Zhang Y; Yan Y, 2018, 'Restricted Boltzmann Machine-Based Approaches for Link Prediction in Dynamic Networks', IEEE Access, 6, pp. 29940 - 29951,
    Journal articles | 2016
    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, 18 March 2016,
    Journal articles | 2011
    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, 8,
    Journal articles | 2011
    Wang B; Pham TD, 2011, 'MRI-based age prediction using hidden Markov models', Journal of Neuroscience Methods, 199, pp. 140 - 145,
  • Conference Papers | 2024
    Wang B; Singh HK; Ray T, 2024, 'Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings,
    Conference Papers | 2023
    Wang B; Singh HK; Ray T, 2023, 'An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 8, presented at 2023 IEEE Congress on Evolutionary Computation (CEC), 01 July 2023 - 05 July 2023,
    Conference Papers | 2022
    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, Institute of Electrical and Electronics Engineers (IEEE), ITALY, Padua, pp. 1 - 8, presented at 2022 IEEE Congress on Evolutionary Computation (CEC), ITALY, Padua, 18 July 2022 - 23 July 2022,
    Conference Papers | 2021
    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, Association for Computing Machinery (ACM), pp. 211 - 212, presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion,
    Conference Papers | 2021
    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, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 1635 - 1642, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021,
    Conference Papers | 2015
    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, B, presented at Advances in Cognitive Systems Workshop on Goal Reasoning, B, 28 May 2015 - 31 May 2015
    Conference Papers | 2015
    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
    Conference Papers | 2015
    Wang B; Singh HK; Ray T, 2015, 'A multi-objective genetic programming approach to uncover explicit and implicit equations from data', IEEE Press, Sendai, Japan, pp. 1129 - 1136, presented at IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 24 May 2015 - 28 May 2015
    Conference Papers | 2012
    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,
    Conference Papers | 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,
    Conference Papers | 2011
    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

1. Bilevel optimisation problems model a variety  of real world problems, where decision making of two parties depends on each other. Except for their interactive nature, such problems often show constraints on conducting experiments or evaluation of potential solutions, as their solution evaluation can consume too much resource. In this  research direction, I am looking into developing efficient optimization algorithms aiming at finding optimum solutions for bilevel problems, while keeping the resource consumption low.Â