Ting Hu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Invariant Representation

Genetic Programming

Evolutionary Computation

Top Venues

GECCO Companion

Publications

Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu
Ego-Aware Graph Neural Network. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Wolfgang Banzhaf, Ting Hu
Linear Genetic Programming. GECCO Companion (2024)
Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR (2024)
Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa
How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions. GPTP (2023)
Zhendong Sha, Li Zhu, Zijun Jiang, Yuanzhu Peter Chen, Ting Hu
How complex is the microarray dataset? A novel data complexity metric for biological high-dimensional microarray data. CoRR (2023)
Ryan Zhou, Ting Hu
Evolving Better Initializations For Neural Networks With Pruning. GECCO Companion (2023)
Ryan Zhou, Ting Hu
Evolutionary approaches to explainable machine learning. CoRR (2023)
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Phenotype Search Trajectory Networks for Linear Genetic Programming. EuroGP (2023)
Zhendong Sha, Yuanzhu Peter Chen, Ting Hu
Genetic heterogeneity analysis using genetic algorithm and network science. CoRR (2023)
Kyle L. Nickerson, Antonina Kolokolova, Ting Hu
Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites. EuroGP (2022)
Kyle L. Nickerson, Terrence S. Tricco, Antonina Kolokolova, Farzaneh Shoeleh, Charles Robertson, John Hawkin, Ting Hu
Banksformer: A Deep Generative Model for Synthetic Transaction Sequences. ECML/PKDD (6) (2022)
Ryan Zhou, Christian Muise, Ting Hu
Permutation-Invariant Representation of Neural Networks with Neuron Embeddings. EuroGP (2022)
Zhendong Sha, Yuanzhu Peter Chen, Ting Hu
Genetic heterogeneity analysis using genetic algorithm and network science. GECCO Companion (2022)
Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang
Editorial Introduction. Genet. Program. Evolvable Mach. 23 (3) (2022)
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Phenotype Search Trajectory Networks for Linear Genetic Programming. CoRR (2022)
Ting Hu, Miguel Nicolau, Lukás Sekanina
Special issue on highlights of genetic programming 2019 events. Genet. Program. Evolvable Mach. 21 (3) (2020)
Ting Hu, Marco Tomassini, Wolfgang Banzhaf
A network perspective on genotype-phenotype mapping in genetic programming. Genet. Program. Evolvable Mach. 21 (3) (2020)
Yu Zhang, Ting Hu, Xiaodong Liang, Mohammad Zawad Ali, Md. Nasmus Sakib Khan Shabbir
Fault Detection and Classification for Induction Motors Using Genetic Programming. EuroGP (2019)
Ting Hu, Marco Tomassini, Wolfgang Banzhaf
Complex Network Analysis of a Genetic Programming Phenotype Network. EuroGP (2019)
Faramarz Dorani, Ting Hu
Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies. EvoApplications (2018)
Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guangju Zhai
Analyzing Feature Importance for Metabolomics Using Genetic Programming. EuroGP (2018)
Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guang Sun, Guangju Zhai
An evolutionary learning and network approach to identifying key metabolites for osteoarthritis. PLoS Comput. Biol. 14 (3) (2018)
Ting Hu, Wolfgang Banzhaf
Neutrality, Robustness, and Evolvability in Genetic Programming. GPTP (2016)
Ting Hu, Wolfgang Banzhaf
Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. GECCO (2016)
Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks. BioData Min. 8 (2015)
Rishika De, Ting Hu, Jason H. Moore, Diane Gilbert-Diamond
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity. BioData Min. 8 (2015)
Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore
Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks. Pacific Symposium on Biocomputing (2015)
Ting Hu, Wolfgang Banzhaf, Jason H. Moore
Population Exploration on Genotype Networks in Genetic Programming. PPSN (2014)
Ting Hu, Wolfgang Banzhaf, Jason H. Moore
The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. Artif. Life 20 (4) (2014)
Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore
Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. 7 (2014)
Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore
Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. BioData Min. 7 (2014)
Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Supervising Random Forest Using Attribute Interaction Networks. EvoBIO (2013)
Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. Pacific Symposium on Biocomputing (2013)
Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Bladder cancer specific pathway interaction networks. ECAL (2013)
Ting Hu, Wolfgang Banzhaf, Jason H. Moore
Robustness and Evolvability of Recombination in Linear Genetic Programming. EuroGP (2013)
Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models. GECCO (Companion) (2013)
Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis. BioData Min. 6 (2013)
Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
Bipartite Networks Show the Genotype-to-Phenotype Relationship in Biological Systems Models: A Study of the Robustness, Evolvability, and Accessibility in Linear Cellular Automata. ECAL (2013)
Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genet. Program. Evolvable Mach. 13 (3) (2012)
Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore
Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm. EvoBIO (2012)
Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. BMC Bioinform. 12 (2011)
Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
Robustness, Evolvability, and Accessibility in Linear Genetic Programming. EuroGP (2011)
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf
WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm. EvoApplications (2) (2010)
Ting Hu, Simon Harding, Wolfgang Banzhaf
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. Genet. Program. Evolvable Mach. 11 (2) (2010)
Ting Hu, Wolfgang Banzhaf
Neutrality and variability: two sides of evolvability in linear genetic programming. GECCO (2009)
Ting Hu, Wolfgang Banzhaf
The Role of Population Size in Rate of Evolution in Genetic Programming. EuroGP (2009)
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi
An evolutionary approach to planning IEEE 802.16 networks. GECCO (2009)
Ting Hu, Wolfgang Banzhaf
. GECCO (2008)
Ting Hu, Wolfgang Banzhaf
Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. PPSN (2008)