Ting Hu - RankMe

77 papers A 8B 17C 2Misc 4Journal 24Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Editorial introduction for the special issue on highlights of genetic programming 2023 events. Genet. Program. Evolvable Mach. Gisele L. Pappa, Mario Giacobini, Ting Hu, Domagoj Jakobovic
2025	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems. IEEE Trans. Evol. Comput. 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
2025	A	`conf`	How Neutrality Shapes Evolution: Simplicity Bias and Search. GECCO Ting Hu, Wolfgang Banzhaf, Gabriela Ochoa
2025	—	`conf`	Linear Genetic Programming. GECCO Companion Wolfgang Banzhaf, Ting Hu
2024	—	`conf`	ATOMIC: an Interpretable Clustering Method Based on Data Topology. GECCO Companion Matthew Vandergrift, Ting Hu
2024	J	`jnl`	Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis. BioData Min. Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu
2024	J	`jnl`	Ego-Aware Graph Neural Network. IEEE Trans. Netw. Sci. Eng. Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu
2024	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR 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
2024	—	`ed.`	Genetic Programming Theory and Practice XX [GPTP 2023] GPTP Stephan Winkler, Leonardo Trujillo, Charles Ofria, Ting Hu
2024	—	`conf`	Linear Genetic Programming. GECCO Companion Wolfgang Banzhaf, Ting Hu
2023	J	`jnl`	Evolutionary approaches to explainable machine learning. CoRR Ryan Zhou, Ting Hu
2023	—	`conf`	Evolving Better Initializations For Neural Networks With Pruning. GECCO Companion Ryan Zhou, Ting Hu
2023	J	`jnl`	Genetic heterogeneity analysis using genetic algorithm and network science. CoRR Zhendong Sha, Yuanzhu Peter Chen, Ting Hu
2023	J	`jnl`	How complex is the microarray dataset? A novel data complexity metric for biological high-dimensional microarray data. CoRR Zhendong Sha, Li Zhu, Zijun Jiang, Yuanzhu Peter Chen, Ting Hu
2023	—	`conf`	How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions. GPTP Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa
2023	B	`conf`	Phenotype Search Trajectory Networks for Linear Genetic Programming. EuroGP Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
2022	C	`conf`	A Bio-Inspired Framework for Machine Bias Interpretation. AIES Jake Robertson, Catherine Stinson, Ting Hu
2022	—	`conf`	Banksformer: A Deep Generative Model for Synthetic Transaction Sequences. ECML/PKDD (6) Kyle L. Nickerson, Terrence S. Tricco, Antonina Kolokolova, Farzaneh Shoeleh, Charles Robertson, John Hawkin, Ting Hu
2022	B	`conf`	Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites. EuroGP Kyle L. Nickerson, Antonina Kolokolova, Ting Hu
2022	J	`jnl`	Editorial Introduction. Genet. Program. Evolvable Mach. Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang
2022	—	`conf`	Genetic heterogeneity analysis using genetic algorithm and network science. GECCO Companion Zhendong Sha, Yuanzhu Peter Chen, Ting Hu
2022	B	`conf`	Permutation-Invariant Representation of Neural Networks with Neuron Embeddings. EuroGP Ryan Zhou, Christian Muise, Ting Hu
2022	J	`jnl`	Phenotype Search Trajectory Networks for Linear Genetic Programming. CoRR Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
2022	—	`conf`	Regulatory genotype-to-phenotype mappings improve evolvability in genetic programming. GECCO Companion Jinting Zhang, Ting Hu
2022	C	`conf`	geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks. CIBCB Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu
2021	—	`conf`	An evolutionary approach to interpretable learning. GECCO Companion Jake Robertson, Ting Hu
2021	B	`conf`	Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network Science. CEC Zhendong Sha, Ting Hu, Yuanzhu Chen
2021	B	`ed.`	Genetic Programming - 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings EuroGP Ting Hu, Nuno Lourenço, Eric Medvet
2021	—	`conf`	Principled quality diversity for ensemble classifiers using MAP-Elites. GECCO Companion Kyle L. Nickerson, Ting Hu
2020	J	`jnl`	A network perspective on genotype-phenotype mapping in genetic programming. Genet. Program. Evolvable Mach. Ting Hu, Marco Tomassini, Wolfgang Banzhaf
2020	B	`conf`	Classification of Autism Genes Using Network Science and Linear Genetic Programming. EuroGP Yu Zhang, Yuanzhu Chen, Ting Hu
2020	B	`ed.`	Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings EuroGP Ting Hu, Nuno Lourenço, Eric Medvet, Federico Divina
2020	—	`conf`	Practical Strategy of Acquaintance Immunization without Contact Tracing. ISPA/BDCloud/SocialCom/SustainCom Zhihao Dong, Yuanzhu Chen, Terrence S. Tricco, Cheng Li, Ting Hu
2020	J	`jnl`	Special issue on highlights of genetic programming 2019 events. Genet. Program. Evolvable Mach. Ting Hu, Miguel Nicolau, Lukás Sekanina
2019	B	`conf`	Complex Network Analysis of a Genetic Programming Phenotype Network. EuroGP Ting Hu, Marco Tomassini, Wolfgang Banzhaf
2019	B	`conf`	Fault Detection and Classification for Induction Motors Using Genetic Programming. EuroGP Yu Zhang, Ting Hu, Xiaodong Liang, Mohammad Zawad Ali, Md. Nasmus Sakib Khan Shabbir
2019	B	`ed.`	Genetic Programming - 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings EuroGP Lukás Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez
2019	B	`conf`	The Time Element of Temporal Networks. GLOBECOM Ali Farrokhtala, Yuanzhu Chen, Ting Hu
2018	J	`jnl`	An evolutionary learning and network approach to identifying key metabolites for osteoarthritis. PLoS Comput. Biol. Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guang Sun, Guangju Zhai
2018	B	`conf`	Analyzing Feature Importance for Metabolomics Using Genetic Programming. EuroGP Ting Hu, Karoliina Oksanen, Weidong Zhang, Edward Randell, Andrew Furey, Guangju Zhai
2018	B	`conf`	Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies. EvoApplications Faramarz Dorani, Ting Hu
2018	A	`conf`	Measuring evolvability and accessibility using the hyperlink-induced topic search algorithm. GECCO Kyle L. Nickerson, Yuanzhu Chen, Feng Wang, Ting Hu
2018	—	`conf`	Observing Friendship Patterns Through Smart Phone Radios. CCECE Sipan Ye, Yuanzhu Chen, Ting Hu, Jooyoung Son, Qing Li, Ali Farrokhtala
2018	J	`jnl`	Soft Computing for Analysis of Biomedical Data. Comput. Math. Methods Medicine Federico Divina, Miguel García-Torres, Ting Hu, Christian E. Schaerer
2018	—	`conf`	Toward Understanding Hidden Patterns in Human Mobility Using Wi-Fi. CCECE Ali Farrokhtala, Yuanzhu Chen, Ting Hu, Sipan Ye
2016	B	`conf`	Evolutionary algorithmic deployment of radio beacons for indoor positioning. CEC Sipan Ye, Yuanzhu Peter Chen, Ting Hu
2016	Misc	`conf`	Metabolomics Differential Correlation Network Analysis of Osteoarthritis. PSB Ting Hu, Weidong Zhang, Zhaozhi Fan, Guang Sun, Sergei Likhodi, Edward Randell, Guangju Zhai
2016	—	`conf`	Neutrality, Robustness, and Evolvability in Genetic Programming. GPTP Ting Hu, Wolfgang Banzhaf
2016	A	`conf`	Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. GECCO Ting Hu, Wolfgang Banzhaf
2015	J	`jnl`	Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity. BioData Min. Rishika De, Ting Hu, Jason H. Moore, Diane Gilbert-Diamond
2015	J	`jnl`	Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks. BioData Min. Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2015	Misc	`conf`	Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks. Pacific Symposium on Biocomputing Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore
2014	J	`jnl`	Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore
2014	J	`jnl`	Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. BioData Min. Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore
2014	A	`conf`	Population Exploration on Genotype Networks in Genetic Programming. PPSN Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2014	J	`jnl`	The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. Artif. Life Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2013	—	`conf`	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 Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
2013	—	`conf`	Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models. GECCO (Companion) Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
2013	—	`conf`	Bladder cancer specific pathway interaction networks. ECAL Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	J	`jnl`	Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis. BioData Min. Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2013	J	`jnl`	Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. J. Am. Medical Informatics Assoc. Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2013	B	`conf`	Robustness and Evolvability of Recombination in Linear Genetic Programming. EuroGP Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2013	Misc	`conf`	Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. Pacific Symposium on Biocomputing Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	—	`conf`	Supervising Random Forest Using Attribute Interaction Networks. EvoBIO Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2012	J	`jnl`	Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genet. Program. Evolvable Mach. Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
2012	—	`conf`	Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm. EvoBIO Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore
2011	J	`jnl`	Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. BMC Bioinform. Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2011	B	`conf`	Robustness, Evolvability, and Accessibility in Linear Genetic Programming. EuroGP Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
2010	J	`jnl`	Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. Genet. Program. Evolvable Mach. Ting Hu, Simon Harding, Wolfgang Banzhaf
2010	—	`conf`	WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm. EvoApplications (2) Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf
2009	A	`conf`	An evolutionary approach to planning IEEE 802.16 networks. GECCO Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi
2009	A	`conf`	Neutrality and variability: two sides of evolvability in linear genetic programming. GECCO Ting Hu, Wolfgang Banzhaf
2009	B	`conf`	The Role of Population Size in Rate of Evolution in Genetic Programming. EuroGP Ting Hu, Wolfgang Banzhaf
2008	A	`conf`	Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio GECCO Ting Hu, Wolfgang Banzhaf
2008	A	`conf`	Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. PPSN Ting Hu, Wolfgang Banzhaf
2007	Misc	`conf`	A Novel Multi-objective Evolutionary Algorithm. International Conference on Computational Science (4) Bojin Zheng, Ting Hu
2006	—	`conf`	Vector Prediction Approach to Handle Dynamical Optimization Problems. SEAL Bojin Zheng, Yuanxiang Li, Ting Hu