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• 2020

  Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain

  WONG, M. L., SENG, K. & WONG, P. K., 1 Mar 2020, In: Expert Systems with Applications. 141, 112918.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Deep neural networks
  • Industry
  • Costs
  • Marketing
  • Classifiers
  13 Citations (Scopus)

• Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming

  WONG, P-K., WONG, M-L. & LEUNG, K-S., 13 Oct 2020, In: Evolutionary Computation. 28 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Genetic Programming
  • Genetic programming
  • Grammar
  • Learning
  • Bayesian Classifier
• 2019

  Probabilistic grammar-based deep neuroevolution

  WONG, P., WONG, M. & LEUNG, K., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, Inc, p. 87-88 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Neuroevolution
  • Network Structure
  • Deep neural networks
  • Grammar
  • Neural Networks

• Probabilistic Grammar-based Neuroevolution for Physiological Signal Classification of Ventricular Tachycardia

  WONG, P., LEUNG, K. & WONG, M., 30 Nov 2019, In: Expert Systems with Applications. 135, p. 237-248 12 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Deep neural networks
  • Deep learning
  • Expert systems
  • Genetic programming
  • Medical applications

• Semantic fitness function in genetic programming based on semantics flow analysis

  WONG, P., WONG, M. & LEUNG, K., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M. (ed.). Association for Computing Machinery (ACM), p. 354-355 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic Programming
  • Fitness Function
  • Genetic programming
  • Semantics
  • Fitness
• 2018

  Decomposition Approach for Learning Large Gene Regulatory Network

  LO, L., WONG, M. L., LEUNG, K. S., LAM, W. L. A. & Chung, C., 20 Jun 2018, In: Journal of Health & Medical Informatics. 9, 3, 315.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Genes
  • Decomposition
  • Transcription factors
  • Curing
  • Time series

• Super-resolution for sequence series data using long-short term memory network

  WONG, P. K., WONG, M. L. & LEUNG, K. S., 2 Feb 2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-8 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Super-resolution
  • Memory Term
  • Long short-term memory
  • Series
  • Sentiment analysis
• 2017

  Cost-Sensitive Deep Neural Networks for Financial Fraud Detection

  SENG, K. & WONG, M. L., Aug 2017.

  Research output: Other Conference Contributions › Conference Paper (other) › Other Conference Paper › peer-review

  • Deep neural networks
  • History
  • Finance
  • Cost functions
  • Machine learning

• Long-short term memory network for RNA structure profiling super-resolution

  WONG, P. K., WONG, M. L. & LEUNG, K. S., Nov 2017, Theory and Practice of Natural Computing : 6th International Conference, TPNC 2017, Prague, Czech Republic, December 18-20, 2017, proceedings. Springer-Verlag GmbH and Co. KG, p. 255-266 12 p. (Lecture Notes in Computer Science (LNCS) book series; vol. 10687).

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Long short-term memory
  • RNA
  • Multilayer neural networks
  • Machine learning
  1 Scopus Citations
• 2016

  Book reviw : Stephen H. Muggleton and Hiroaki Watanabe (Eds.) : Latest advances in inductive logic programming : world scientific publishing, 2014, ISBN : 978-1783265084

  WONG, ML., 1 Mar 2016, In: Genetic Programming and Evolvable Machines. 17, 1, p. 77-79 3 p.

  Research output: Journal Publications › Review article › Book review

• Hierarchical knowledge in self-improving Grammar-Based Genetic Programming

  WONG, P-K., WONG, M. L. & LEUNG, K-S., 1 Jan 2016, Parallel Problem Solving from Nature: PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Springer, p. 270-280 11 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic programming
  • Statistical Models
  6 Citations (Scopus)

• Learning grammar rules in probabilistic Grammar-based Genetic Programming

  WONG, P-K., WONG, M. L. & LEUNG, K-S., 1 Jan 2016, Theory and practice of natural computing : 5th international conference, TPNC 2016, Sendai, Japan, December 12-13, 2016, proceedings. Springer, p. 208-220 13 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic programming
  • Function evaluation
  • Computer program listings
• 2015

  Exploiting modularity and hierarchical modularity to infer large causal gene regulatory network

  LO, L. Y., WONG, M. L., LEE, K. H. & LEUNG, K. S., 1 Jan 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015. Institute of Electrical and Electronics Engineers Inc.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genes
  • Time series
  • Merging
  • Time delay
  • Throughput

• Financial fraud detection by using grammar-based multi-objective genetic programming with ensemble learning

  LI, H. & WONG, M. L., 1 Jan 2015, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1113-1120 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic programming
  • Adaptive boosting
  • Bayesian networks
  • Decision trees
  • Multiobjective optimization
  8 Citations (Scopus)

• High-order dynamic Bayesian network learning with hidden common causes for causal gene regulatory network

  LO, L. Y., WONG, M. L., LEE, K. H. & LEUNG, K. S., 2015, In: BMC Bioinformatics. 16, p. 1-28 28 p., 395.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Dynamic Bayesian Networks
  • Gene Regulatory Network
  • Gene Regulatory Networks
  • Bayesian networks
  • Learning
  9 Citations (Scopus)

• Large Causal Gene Regulatory Network Inference by Decomposition into Subnetworks

  LO, L-Y., WONG, M. L., LEE, K-H. & LEUNG, K-S., May 2015, In: International Journal of Bioscience, Biochemistry and Bioinformatics. 5, 3, p. 175 - 183

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Genes
  • Decomposition
  • Gaussian distribution
  • Curing
  • Time series

• Scalable model-based clustering for large databases based on data summarization

  JIN, H., WONG, M. L. & LEUNG, K-S., 1 Jan 2015, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 27, 11, p. 1710-1719 10 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Summarization
  • Model-based Clustering
  • Gaussian Mixture Model
  • Gaussian Mixture
  • Expectation Maximization
  15 Citations (Scopus)

• Targeting high value customers while under resource constraint : partial order constrained optimization with genetic algorithm

  CUI, G., WONG, M. L. & WAN, X., Feb 2015, In: Journal of Interactive Marketing. 29, 1, p. 27-37 11 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Partial Order
  • Constrained Optimization
  • Direct Marketing
  • Resource Constraints
  • Customer Value
  12 Citations (Scopus)

• Time delayed causal gene regulatory network inference with hidden common causes

  LO, L. Y., WONG, M. L., LEE, K. H. & LEUNG, K. S., 22 Sep 2015, In: PLoS ONE. 10, 9, p. 1-47 47 p., e0138596.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • gene regulatory networks
  • Gene Regulatory Networks
  • time series analysis
  • Genes
  • Time series
  6 Citations (Scopus)
• 2014

  Applying ant colony optimization to configuring stacking ensembles for data mining

  CHEN, Y., WONG, M. L. & LI, H., May 2014, In: Expert Systems with Applications. 41, 6, p. 2688-2702 15 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Ant colony optimization
  • Data mining
  • Classifiers
  • Decision making
  • Experiments
  35 Citations (Scopus)

• Grammar-based genetic programming with Bayesian network

  WONG, P. K., LO, L. Y., WONG, M. L. & LEUNG, K. S., 22 Sep 2014, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., p. 739-746 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic programming
  • Bayesian networks
  • Syntactics
  • Statistical Models
  • Semantics
  6 Citations (Scopus)

• Grammar-based genetic programming with dependence learning and Bayesian network classifier

  WONG, P. K., LO, L. Y., WONG, M. L. & LEUNG, K. S., 12 Jul 2014, GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 959-966 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Genetic programming
  • Bayesian networks
  • Classifiers
  • Labels
  • Probability distributions
  5 Citations (Scopus)

• Knowledge Discovering in Corporate Securities Fraud by Using Grammar Based Genetic Programming

  LI, H-B. & WONG, M. L., Mar 2014, In: Journal of Computer and Communications. 2, 4, p. 148-156 9 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Genetic programming
  • Data mining
  • Radial basis function networks
  • Bayesian networks
  • Logistics
• 2013

  Applying ant colony optimization in configuring stacking ensemble

  CHEN, Y. & WONG, M. L., 23 Apr 2013, 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. Institute of Electrical and Electronics Engineers, p. 2111-2116 6 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Ant colony optimization
  • Classifiers
  • Decision making
  • Experiments
  3 Citations (Scopus)

• Bayesian networks and applications in direct marketing

  GUO, Y. Y. & WONG, M. L., May 2013, Advanced Database Marketing : Innovative Methodologies and Applications for Managing Customer Relationships. Taylor and Francis, p. 67-96 30 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Bayesian Networks
  • Direct Marketing
  • Diagnostic Systems
  • Conditional Probability
  • Classification System

• Data mining using parallel multi-objective evolutionary algorithms on graphics processing units

  WONG, M. L. & CUI, G., 1 Jan 2013, Massively Parallel Evolutionary Computation on GPGPUs. Springer-Verlag GmbH and Co. KG, p. 287-307 21 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Graphics processing unit
  • Evolutionary algorithms
  • Data mining
  • Marketing
  • Multiobjective optimization
  13 Citations (Scopus)

• Genetic algorithm for dimer-led and error-restricted spaced motif discovery

  CHAN, T. M., LO, L. Y., WONG, M. L., LIANG, Y. & LEUNG, K. S., 12 Sep 2013, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. Institute of Electrical and Electronics Engineers Inc., p. 198-205 8 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Dimers
  • Lead
  • Genetic algorithms
  • DNA
  • Proteins
• 2012

  Cost-sensitive learning via priority sampling to improve the return on marketing and CRM investment

  CUI, G., WONG, M. L. & WAN, X., 1 Jan 2012, In: Journal of Management Information Systems. 29, 1, p. 341-374 34 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Sampling
  • Marketing
  • Learning Algorithm
  • Costs
  • Customer Value
  12 Citations (Scopus)

• Evolutionary algorithms for data mining

  COLLET, P. & WONG, M. L., Mar 2012, In: Genetic Programming and Evolvable Machines. 13, 1, p. 69-70 2 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Evolutionary Algorithms
  • Data Mining
  • Machine Learning
  • Evolutionary algorithms
  • Data mining
• 2011

  Optimizing stacking ensemble by an ant colony optimization approach

  CHEN, Y. & WONG, M. L., 1 Jan 2011, Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. p. 7-8 2 p.

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › peer-review

  • Ant colony optimization
  • Decision making
  • Classifiers
  • Experiments
  12 Citations (Scopus)