Grammar-Based Genetic Programming with Bayesian network. - Pak-Kan Wong; Leung-Yau Lo; Man-Leung Wong; Kwong-Sak Leung (IEEE Congress on Evolutionary Computation, 2014)

Grammar-based genetic programming with dependence learning and bayesian network classifier. - Pak-Kan Wong; Leung-Yau Lo; Man-Leung Wong; Kwong-Sak Leung (GECCO, 2014)

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (PPSN, 2016)

Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (TPNC, 2016)

Super-resolution for sequence series data using long-short term memory network. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (SSCI, 2017)

Long-Short Term Memory Network for RNA Structure Profiling Super-Resolution. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (TPNC, 2017)

Multi-objective Multiple Quadcopter Path Planning in Urban City. - Kin Ming Lo; Leung-Yau Lo; Pak-Kan Wong; Kwong-Sak Leung (CRC, 2018)

A Genetic Algorithm with New Local Operators for Multiple Traveling Salesman Problems. - Kin Ming Lo; Wei Ying Yi; Pak-Kan Wong; Kwong-Sak Leung; Yee Leung; Sui-Tung Mak (Int. J. Comput. Intell. Syst., 2018)

Probabilistic grammar-based deep neuroevolution. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (GECCO (Companion), 2019)

Semantic fitness function in genetic programming based on semantics flow analysis. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (GECCO (Companion), 2019)

Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia. - Pak-Kan Wong; Kwong-Sak Leung; Man-Leung Wong (Expert Syst. Appl., 2019)

Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain. - Man Leung Wong; Kruy Seng; Pak-Kan Wong (Expert Syst. Appl., 2020)

Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming. - Pak-Kan Wong; Man-Leung Wong; Kwong-Sak Leung (Evol. Comput., 2021)

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. - Laurent Meunier; Herilalaina Rakotoarison; Pak-Kan Wong; Baptiste Rozière; Jérémy Rapin; Olivier Teytaud; Antoine Moreau; Carola Doerr (IEEE Trans. Evol. Comput., 2022)