Ting Hu

According to our database, Ting Hu authored at least 70 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems.

Ryan Zhou, Jaume Bacardit, Alexander Edward Ian Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu

IEEE Trans. Evol. Comput., October, 2025

Editorial introduction for the special issue on highlights of genetic programming 2023 events.

Gisele L. Pappa, Mario Giacobini, Ting Hu, Domagoj Jakobovic

Genet. Program. Evolvable Mach., June, 2025

How Neutrality Shapes Evolution: Simplicity Bias and Search.

Ting Hu, Wolfgang Banzhaf, Gabriela Ochoa

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

Ego-Aware Graph Neural Network.

Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu

IEEE Trans. Netw. Sci. Eng., 2024

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.

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

CoRR, 2024

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.

Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

BioData Min., 2024

ATOMIC: an Interpretable Clustering Method Based on Data Topology.

Matthew Vandergrift, Ting Hu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Linear Genetic Programming.

Wolfgang Banzhaf, Ting Hu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

How complex is the microarray dataset? A novel data complexity metric for biological high-dimensional microarray data.

Zhendong Sha, Li Zhu, Zijun Jiang, Yuanzhu Peter Chen, Ting Hu

CoRR, 2023

Evolutionary approaches to explainable machine learning.

Ryan Zhou, Ting Hu

CoRR, 2023

How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions.

Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Evolving Better Initializations For Neural Networks With Pruning.

Ryan Zhou, Ting Hu

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Phenotype Search Trajectory Networks for Linear Genetic Programming.

Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf

Proceedings of the Genetic Programming - 26th European Conference, 2023

2022

Editorial Introduction.

Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang

Genet. Program. Evolvable Mach., 2022

Banksformer: A Deep Generative Model for Synthetic Transaction Sequences.

Kyle L. Nickerson, Terrence S. Tricco, Antonina Kolokolova, Farzaneh Shoeleh, Charles Robertson, John Hawkin, Ting Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Regulatory genotype-to-phenotype mappings improve evolvability in genetic programming.

Jinting Zhang, Ting Hu

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Genetic heterogeneity analysis using genetic algorithm and network science.

Zhendong Sha, Yuanzhu Peter Chen, Ting Hu

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Permutation-Invariant Representation of Neural Networks with Neuron Embeddings.

Ryan Zhou, Christian Muise, Ting Hu

Proceedings of the Genetic Programming - 25th European Conference, 2022

Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites.

Kyle L. Nickerson, Antonina Kolokolova, Ting Hu

Proceedings of the Genetic Programming - 25th European Conference, 2022

geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks.

Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

A Bio-Inspired Framework for Machine Bias Interpretation.

Jake Robertson, Catherine Stinson, Ting Hu

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

An evolutionary approach to interpretable learning.

Jake Robertson, Ting Hu

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Principled quality diversity for ensemble classifiers using MAP-Elites.

Kyle L. Nickerson, Ting Hu

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network Science.

Zhendong Sha, Ting Hu, Yuanzhu Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A network perspective on genotype-phenotype mapping in genetic programming.

Ting Hu, Marco Tomassini, Wolfgang Banzhaf

Genet. Program. Evolvable Mach., 2020

Special issue on highlights of genetic programming 2019 events.

Ting Hu, Miguel Nicolau, Lukás Sekanina

Genet. Program. Evolvable Mach., 2020

Practical Strategy of Acquaintance Immunization without Contact Tracing.

Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Classification of Autism Genes Using Network Science and Linear Genetic Programming.

Yu Zhang, Yuanzhu Chen, Ting Hu

Proceedings of the Genetic Programming - 23rd European Conference, 2020

2019

The Time Element of Temporal Networks.

Ali Farrokhtala, Yuanzhu Chen, Ting Hu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Fault Detection and Classification for Induction Motors Using Genetic Programming.

Yu Zhang, Ting Hu, Xiaodong Liang, Mohammad Zawad Ali, Md. Nasmus Sakib Khan Shabbir

Proceedings of the Genetic Programming - 22nd European Conference, 2019

Complex Network Analysis of a Genetic Programming Phenotype Network.

Ting Hu, Marco Tomassini, Wolfgang Banzhaf

Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018

An evolutionary learning and network approach to identifying key metabolites for osteoarthritis.

Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guang Sun, Guangju Zhai

PLoS Comput. Biol., 2018

Soft Computing for Analysis of Biomedical Data.

Federico Divina, Miguel García-Torres, Ting Hu, Christian E. Schaerer

Comput. Math. Methods Medicine, 2018

Measuring evolvability and accessibility using the hyperlink-induced topic search algorithm.

Kyle L. Nickerson, Yuanzhu Chen, Feng Wang, Ting Hu

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies.

Faramarz Dorani, Ting Hu

Proceedings of the Applications of Evolutionary Computation, 2018

Analyzing Feature Importance for Metabolomics Using Genetic Programming.

Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guangju Zhai

Proceedings of the Genetic Programming - 21st European Conference, 2018

Observing Friendship Patterns Through Smart Phone Radios.

Sipan Ye, Yuanzhu Chen, Ting Hu, Jooyoung Son, Qing Li, Ali Farrokhtala

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Toward Understanding Hidden Patterns in Human Mobility Using Wi-Fi.

Ali Farrokhtala, Yuanzhu Chen, Ting Hu, Sipan Ye

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2016

Metabolomics Differential Correlation Network Analysis of Osteoarthritis.

Ting Hu, Weidong Zhang, Zhaozhi Fan, Guang Sun, Sergei Likhodi, Edward Randell, Guangju Zhai

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Neutrality, Robustness, and Evolvability in Genetic Programming.

Ting Hu, Wolfgang Banzhaf

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network.

Ting Hu, Wolfgang Banzhaf

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Evolutionary algorithmic deployment of radio beacons for indoor positioning.

Sipan Ye, Yuanzhu Peter Chen, Ting Hu

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.

Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

BioData Min., 2015

Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.

Rishika De, Ting Hu, Jason H. Moore, Diane Gilbert-Diamond

BioData Min., 2015

Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks.

Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014

Computational genetics analysis of grey matter density in Alzheimer's disease.

Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore

BioData Min., 2014

Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility.

Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore

BioData Min., 2014

The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution.

Ting Hu, Wolfgang Banzhaf, Jason H. Moore

Artif. Life, 2014

Population Exploration on Genotype Networks in Genetic Programming.

Ting Hu, Wolfgang Banzhaf, Jason H. Moore

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies.

Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore

J. Am. Medical Informatics Assoc., 2013

Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis.

Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore

BioData Min., 2013

Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models.

Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models.

Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Supervising Random Forest Using Attribute Interaction Networks.

Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Robustness and Evolvability of Recombination in Linear Genetic Programming.

Ting Hu, Wolfgang Banzhaf, Jason H. Moore

Proceedings of the Genetic Programming - 16th European Conference, 2013

Bladder cancer specific pathway interaction networks.

Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Bipartite Networks Show the Genotype-to-Phenotype Relationship in Biological Systems Models: A Study of the Robustness, Evolvability, and Accessibility in Linear Cellular Automata.

Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012

Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming.

Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore

Genet. Program. Evolvable Mach., 2012

Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm.

Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2012

2011

Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks.

Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

BMC Bioinform., 2011

Robustness, Evolvability, and Accessibility in Linear Genetic Programming.

Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore

Proceedings of the Genetic Programming - 14th European Conference, 2011

2010

Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm.

Ting Hu, Simon Harding, Wolfgang Banzhaf

Genet. Program. Evolvable Mach., 2010

WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm.

Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf

Proceedings of the Applications of Evolutionary Computation, 2010

2009

An evolutionary approach to planning IEEE 802.16 networks.

Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Neutrality and variability: two sides of evolvability in linear genetic programming.

Ting Hu, Wolfgang Banzhaf

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

The Role of Population Size in Rate of Evolution in Genetic Programming.

Ting Hu, Wolfgang Banzhaf

Proceedings of the Genetic Programming, 12th European Conference, 2009

2008

Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation.

Ting Hu, Wolfgang Banzhaf

Proceedings of the Parallel Problem Solving from Nature, 2008

Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio <i>k_a/k_s</i>.

Ting Hu, Wolfgang Banzhaf

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

A Novel Multi-objective Evolutionary Algorithm.

Bojin Zheng, Ting Hu

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

2006

Vector Prediction Approach to Handle Dynamical Optimization Problems.

Bojin Zheng, Yuanxiang Li, Ting Hu

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006