Security and self-organization in transparent optical networks: an overview. - Jae-Seung Yeom; Ozan K. Tonguz (AccessNets, 2006)

Security in All-Optical Networks: Self-Organization and Attack Avoidance. - Jae-Seung Yeom; Ozan K. Tonguz; Gerardo A. Castañón (ICC, 2007)

A Testbed Emulator for Cross-Layer Studies in Mobile Ad Hoc Wireless Networks. - Jae-Seung Yeom; Nawaporn Wisitpongphan; Sooksan Panichpapiboon; Ozan K. Tonguz (TRIDENTCOM, 2007)

Scheduling Asymmetric Parallelism on a PlayStation3 Cluster. - Filip Blagojevic; Matthew Curtis-Maury; Jae-Seung Yeom; Scott Schneider 001; Dimitrios S. Nikolopoulos (CCGRID, 2008)

A comparison of programming models for multiprocessors with explicitly managed memory hierarchies. - Scott Schneider 001; Jae-Seung Yeom; Benjamin Rose; John C. Linford; Adrian Sandu; Dimitrios S. Nikolopoulos (PPoPP, 2009)

Programming Multiprocessors with Explicitly Managed Memory Hierarchies. - Scott Schneider 001; Jae-Seung Yeom; Dimitrios S. Nikolopoulos (Computer, 2009)

Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories. - Jae-Seung Yeom; Dimitrios S. Nikolopoulos (SC, 2010)

Poster: large-scale computational epidemiology modeling using charm++. - Keith R. Bisset; Ashwin M. Aji; Tariq Kamal; Jae-Seung Yeom (SC Companion, 2011)

High-Performance Interaction-Based Simulation of Gut Immunopathologies with ENteric Immunity Simulator (ENISI). - Keith R. Bisset; Md. Maksudul Alam; Josep Bassaganya-Riera; Adria Carbo; Stephen G. Eubank; Raquel Hontecillas; Stefan Hoops; Yongguo Mei; Katherine V. Wendelsdorf; Dawen Xie; Jae-Seung Yeom; Madhav V. Marathe (IPDPS, 2012)

Simulating the Spread of Infectious Disease over Large Realistic Social Networks Using Charm++. - Keith R. Bisset; Ashwin M. Aji; Eric J. Bohm; Laxmikant V. Kalé; Tariq Kamal; Madhav V. Marathe; Jae-Seung Yeom (IPDPS Workshops, 2012)

Contagion Diffusion with EpiSimdemics. - Keith R. Bisset; Ashwin M. Aji; Tariq Kamal; Jae-Seung Yeom; Madhav V. Marathe; Eric J. Bohm; Abhishek Gupta 002 (Parallel Science and Engineering Applications, 2013)

TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages. - Lukasz Wesolowski; Ramprasad Venkataraman; Abhishek Gupta 002; Jae-Seung Yeom; Keith R. Bisset; Yanhua Sun; Pritish Jetley; Thomas R. Quinn; Laxmikant V. Kalé (ICPP, 2014)

Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. - Jae-Seung Yeom; Abhinav Bhatele; Keith R. Bisset; Eric J. Bohm; Abhishek Gupta 002; Laxmikant V. Kalé; Madhav V. Marathe; Dimitrios S. Nikolopoulos; Martin Schulz 001; Lukasz Wesolowski (IPDPS, 2014)

Optimizing Data Accesses for Scaling Data-intensive Scientific Applications. - Jae-Seung Yeom (2014)

Charm++ and MPI: Combining the Best of Both Worlds. - Nikhil Jain; Abhinav Bhatele; Jae-Seung Yeom; Mark F. Adams; Francesco Miniati; Chao Mei; Laxmikant V. Kalé (IPDPS, 2015)

LibPowerMon: A Lightweight Profiling Framework to Profile Program Context and System-Level Metrics. - Aniruddha Marathe; Hormozd Gahvari; Jae-Seung Yeom; Abhinav Bhatele (IPDPS Workshops, 2016)

Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. - Jae-Seung Yeom; Jayaraman J. Thiagarajan; Abhinav Bhatele; Greg Bronevetsky; Tzanio V. Kolev (PMBS@SC, 2016)

Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. - Abhinav Bhatele; Jae-Seung Yeom; Nikhil Jain; Chris J. Kuhlman; Yarden Livnat; Keith R. Bisset; Laxmikant V. Kalé; Madhav V. Marathe (CCGrid, 2017)

Exploratory Modeling and Simulation of the Evolutionary Dynamics of Single-Stranded RNA Virus Populations. - Jae-Seung Yeom; Tanya Kostova-Vassilevska; Peter D. Barnes Jr.; David R. Jefferson; Tomas Oppelstrup (IPDPS Workshops, 2017)

Performance modeling under resource constraints using deep transfer learning. - Aniruddha Marathe; Rushil Anirudh; Nikhil Jain; Abhinav Bhatele; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Jae-Seung Yeom; Barry Rountree; Todd Gamblin (SC, 2017)

PADDLE: Performance Analysis Using a Data-Driven Learning Environment. - Jayaraman J. Thiagarajan; Rushil Anirudh; Bhavya Kailkhura; Nikhil Jain; Tanzima Z. Islam; Abhinav Bhatele; Jae-Seung Yeom; Todd Gamblin (IPDPS, 2018)

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. - Sam Ade Jacobs; Jim Gaffney; Tom Benson; Peter B. Robinson; J. Luc Peterson; Brian K. Spears; Brian Van Essen; David Hysom; Jae-Seung Yeom; Tim Moon; Rushil Anirudh; Jayaraman J. Thiagarajan; et al. (CLUSTER, 2019)

Merlin: Enabling Machine Learning-Ready HPC Ensembles. - J. Luc Peterson; Rushil Anirudh; Kevin Athey; Benjamin Bay; Peer-Timo Bremer; Vic Castillo; Francesco Di Natale; David Fox; Jim A. Gaffney; David Hysom; Sam Ade Jacobs; Bhavya Kailkhura; et al. (CoRR, 2019)

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. - Shusen Liu 001; Jim Gaffney; J. Luc Peterson; Peter B. Robinson; Harsh Bhatia; Valerio Pascucci; Brian K. Spears; Peer-Timo Bremer; Di Wang; Dan Maljovec; Rushil Anirudh; Jayaraman J. Thiagarajan; et al. (IEEE Trans. Vis. Comput. Graph., 2020)

Towards dynamic simulation of a whole cell model. - Jae-Seung Yeom; Konstantia Georgouli; Robert Blake; Ali Navid (BCB, 2021)

One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. - Daniel J. Milroy; Claudia Misale; Giorgis Georgakoudis; Tonia Elengikal; Abhik Sarkar; Maurizio Drocco; Tapasya Patki; Jae-Seung Yeom; Carlos Eduardo Arango Gutierrez; Dong H. Ahn; Yoonho Park (CANOPIE-HPC@SC, 2022)

Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. - Jae-Seung Yeom; Dong H. Ahn; Ian Lumsden; Jakob Lüttgau; Silvina Caíno-Lores; Michela Taufer (e-Science, 2022)

Enabling machine learning-ready HPC ensembles with Merlin. - J. Luc Peterson; Benjamin Bay; Joe Koning; Peter B. Robinson; Jessica Semler; Jeremy White; Rushil Anirudh; Kevin Athey; Peer-Timo Bremer; Francesco Di Natale; David Fox; Jim A. Gaffney; et al. (Future Gener. Comput. Syst., 2022)

Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. - Tapasya Patki; Dong H. Ahn; Daniel Milroy; Jae-Seung Yeom; Jim Garlick; Mark Grondona; Stephen Herbein; Thomas Scogland (SC Workshops, 2023)

Relative Performance Prediction Using Few-Shot Learning. - Arunavo Dey; Aakash Dhakal; Tanzima Z. Islam; Jae-Seung Yeom; Tapasya Patki; Daniel Nichols; Alexander Movsesyan; Abhinav Bhatele (COMPSAC, 2024)

Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. - Ian Lumsden; Hariharan Devarajan; Jack Marquez; Stephanie Brink; David Böhme; Olga Pearce; Jae-Seung Yeom; Michela Taufer (IPDPS (Workshops), 2024)

Predicting Cross-Architecture Performance of Parallel Programs. - Daniel Nichols; Alexander Movsesyan; Jae-Seung Yeom; Abhik Sarkar; Daniel Milroy; Tapasya Patki; Abhinav Bhatele (IPDPS, 2024)

DYAD: Locality-aware Data Management for accelerating Deep Learning Training. - Hariharan Devarajan; Ian Lumsden; Chen Wang 004; Konstantia Georgouli; Tom Scogland; Jae-Seung Yeom; Michela Taufer (SBAC-PAD, 2024)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loïc Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (SC, 2024)

A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. - Joy Kitson; Ian J. Costello; Jiangzhuo Chen; Diego Jiménez; Stefan Hoops; Henning S. Mortveit; Esteban Meneses; Jae-Seung Yeom; Madhav V. Marathe; Abhinav Bhatele (CoRR, 2024)

DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. - Hariharan Devarajan; Loic Pottier; Kaushik Velusamy; Huihuo Zheng; Izzet Yildirim; Olga Kogiou; Weikuan Yu; Anthony Kougkas; Xian-He Sun; Jae-Seung Yeom; Kathryn M. Mohror (Zenodo, 2024)

Pandemics in Silico: Scaling Agent-Based Simulations on Realistic Social Contact Networks. - Joy Kitson; Ian J. Costello; Jiangzhuo Chen; Diego Jiménez; Stefan Hoops; Henning S. Mortveit; Esteban Meneses; Jae-Seung Yeom; Madhav V. Marathe; Abhinav Bhatele (IPDPS, 2025)