The Microscopist's Workstation. - Philip J. Mercurio; T. Todd Elvins; Stephen J. Young (IEEE Visualization, 1992)

The Distributed Laboratory - An Interactive Visualization Environment for Electron Microscopy and 3D Imaging. - Philip J. Mercurio; T. Todd Elvins; Stephen J. Young; Philip S. Cohen; Kevin R. Fall; Mark H. Ellisman (Commun. ACM, 1992)

Implementing a Collaboratory for Microscopic Digital Anatomy. - Stephen J. Young; Gary Guo You Fan; David Hessler; Stephan Lamont; T. Todd Elvins; Martin Hadida-Hassan; Gary Hanyzewski; James W. Durkin; Philip M. Hubbard; Gordon L. Kindlmann; Eric Wong; Donald P. Greenberg; et al. (Int. J. High Perform. Comput. Appl., 1996)

Combining Workstations and Supercomputers to Support Grid Applications: The Parallel Tomography Experience. - Shava Smallen; Walfredo Cirne; Jaime Frey; Francine Berman; Richard Wolski; Mei-Hui Su; Carl Kesselman; Stephen J. Young; Mark H. Ellisman (Heterogeneous Computing Workshop, 2000)

Random Dot Product Graph Models for Social Networks. - Stephen J. Young; Edward R. Scheinerman (WAW, 2007)

A Characterization of Partially Ordered Sets with Linear Discrepancy Equal to 2. - David M. Howard 002; Mitchel T. Keller; Stephen J. Young (Order, 2007)

Directed Random Dot Product Graphs. - Stephen J. Young; Edward R. Scheinerman (Internet Math., 2008)

Random dot product graphs: a flexible model for complex networks. - Stephen J. Young (2008)

Braess's Paradox in Large Sparse Graphs. - Fan Chung Graham; Stephen J. Young (WINE, 2010)

Degree bounds for linear discrepancy of interval orders and disconnected posets. - Mitchel T. Keller; Stephen J. Young (Discret. Math., 2010)

Interval partitions and Stanley depth. - Csaba Biró; David M. Howard 002; Mitchel T. Keller; William T. Trotter; Stephen J. Young (J. Comb. Theory A, 2010)

When linear and weak discrepancy are equal. - David M. Howard 002; Stephen J. Young (Discret. Math., 2011)

A Major League Baseball Team Uses Operations Research to Improve Draft Preparation. - Noah Streib; Stephen J. Young; Joel S. Sokol (Interfaces, 2012)

Braess's paradox in expanders. - Fan Chung Graham; Stephen J. Young; Wenbo Zhao 001 (Random Struct. Algorithms, 2012)

Connectivity and Giant Component of Stochastic Kronecker Graphs. - Mary Radcliffe; Stephen J. Young (CoRR, 2013)

Towards a Weighted Version of the Hajnal-Szemerédi Theorem. - József Balogh; Graeme Kemkes; Choongbum Lee; Stephen J. Young (Comb. Probab. Comput., 2013)

Dimensionality of social networks using motifs and eigenvalues. - Anthony Bonato; David F. Gleich; Myunghwan Kim 002; Dieter Mitsche; Pawel Pralat; Amanda Tian; Stephen J. Young (CoRR, 2014)

MAGI: A New High-Performance Airborne Thermal-Infrared Imaging Spectrometer for Earth Science Applications. - Jeffrey L. Hall; Richard H. Boucher; Kerry N. Buckland; David J. Gutierrez; John A. Hackwell; B. Robert Johnson; Eric R. Keim; Nery M. Moreno; Michael S. Ramsey; Mazaher G. Sivjee; David M. Tratt; David W. Warren; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

Multi-year study of remotely-sensed ammonia emission from fumaroles in the salton sea geothermal field. - David M. Tratt; Stephen J. Young; Patrick D. Johnson; Kerry N. Buckland; David K. Lynch (WHISPERS, 2016)

Posets with Cover Graph of Pathwidth two have Bounded Dimension. - Csaba Biró; Mitchel T. Keller; Stephen J. Young (Order, 2016)

Combinatorial Reductions for the Stanley Depth of $I$ and $S/I$. - Mitchel T. Keller; Stephen J. Young (Electron. J. Comb., 2017)

MAHI: An Airborne Mid-Infrared Imaging Spectrometer for Industrial Emissions Monitoring. - David M. Tratt; Stephen J. Young; John A. Hackwell; Donald J. Rudy; David W. Warren; Adam G. Vore; Patrick D. Johnson (IEEE Trans. Geosci. Remote. Sens., 2017)

Model of cognitive dynamics predicts performance on standardized tests. - Nathan O. Hodas; Jacob S. Hunter; Stephen J. Young; Kristina Lerman (J. Comput. Soc. Sci., 2018)

Relative Hausdorff distance for network analysis. - Sinan G. Aksoy; Kathleen E. Nowak; Emilie Purvine; Stephen J. Young (Appl. Netw. Sci., 2019)

A Linear-Time Algorithm and Analysis of Graph Relative Hausdorff Distance. - Sinan G. Aksoy; Kathleen Nowak; Stephen J. Young (SIAM J. Math. Data Sci., 2019)

Hereditary Semiorders and Enumeration of Semiorders by Dimension. - Mitchel T. Keller; Stephen J. Young (Electron. J. Comb., 2020)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Sinan Aksoy; Stephen J. Young; Jesun Firoz; Roberto Gioiosa; Mark Raugas; Juan Escobedo (CoRR, 2021)

Directional Laplacian Centrality for Cyber Situational Awareness. - Sinan G. Aksoy; Emilie Purvine; Stephen J. Young (DTRAP, 2021)

Spectral Threshold for Extremal Cyclic Edge-Connectivity. - Sinan G. Aksoy; Mark Kempton; Stephen J. Young (Graphs Comb., 2021)

Planar Posets that are Accessible from Below Have Dimension at Most 6. - Csaba Biró; Bartlomiej Bosek; Heather C. Smith; William T. Trotter; Ruidong Wang; Stephen J. Young (Order, 2021)

Ramanujan graphs and the spectral gap of supercomputing topologies. - Sinan G. Aksoy; Paul J. Bruillard; Stephen J. Young; Mark Raugas (J. Supercomput., 2021)

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks. - Stephen J. Young; Sinan Aksoy; Jesun Firoz; Roberto Gioiosa; Tobias Hagge; Mark Kempton; Juan Escobedo; Mark Raugas (IPDPS, 2022)

Dimension of Restricted Classes of Interval Orders. - Mitchel T. Keller; Ann N. Trenk; Stephen J. Young (Graphs Comb., 2022)

Malicious Cyber Activity Detection using Zigzag Persistence. - Audun Myers; Alyson Bittner; Sinan Aksoy; Daniel M. Best; Gregory Henselman-Petrusek; Helen Jenne; Cliff A. Joslyn; Bill Kay; Garret Seppala; Stephen J. Young; Emilie Purvine (DSC, 2023)

Fast Parallel Tensor Times Same Vector for Hypergraphs. - Shruti Shivakumar; Ilya Amburg; Sinan G. Aksoy; Jiajia Li 001; Stephen J. Young; Srinivas Aluru (HiPC, 2023)

Finding Your Niche: An Evolutionary Approach to HPC Topologies. - Stephen J. Young; Joshua Suetterlein; Jesun Firoz; Joseph B. Manzano; Kevin J. Barker (HPEC, 2023)

Seven open problems in applied combinatorics. - Sinan G. Aksoy; Ryan S. Bennink; Yuzhou Chen; José Frías; Yulia R. Gel; Bill Kay; Uwe Naumann; Carlos Ortiz Marrero; Anthony V. Petyuk; Sandip Roy 002; Ignacio Segovia-Dominguez; Nate Veldt; et al. (CoRR, 2023)

Stepping out of Flatland: Discovering Behavior Patterns as Topological Structures in Cyber Hypergraphs. - Helen Jenne; Sinan G. Aksoy; Daniel M. Best; Alyson Bittner; Gregory Henselman-Petrusek; Cliff A. Joslyn; Bill Kay; Audun Myers; Garret Seppala; Jackson Warley; Stephen J. Young; Emilie Purvine (CoRR, 2023)

Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data. - Bill Kay; Sinan G. Aksoy; Molly Baird; Daniel M. Best; Helen Jenne; Cliff A. Joslyn; Christopher Potvin; Gregory Henselman-Petrusek; Garret Seppala; Stephen J. Young; Emilie Purvine (CoRR, 2023)

HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Nathan R. Tallent; Ryan D. Friese; Kevin J. Barker; Timothy Stavenger (HPEC, 2024)

Automatic Extraction of Network Configurations for Realistic Simulation and Validation. - Joshua Suetterlein; Stephen J. Young; Jesun Firoz; Joseph B. Manzano; Ryan D. Friese; Nathan R. Tallent; Kevin J. Barker; Timothy Stavenger (ISPASS, 2024)

Scalable Tensor Methods for Nonuniform Hypergraphs. - Sinan G. Aksoy; Ilya Amburg; Stephen J. Young (SIAM J. Math. Data Sci., 2024)

HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network. - Tatyana Benko; Martin Buck; Ilya Amburg; Stephen J. Young; Sinan G. Aksoy (Trans. Mach. Learn. Res., 2025)

Re-imagining Spectral Graph Theory. - Sinan G. Aksoy; Stephen J. Young (CoRR, 2025)