A Simulation of Demand-Driven Dataflow: Translation from Lucid into MDC Language. - George K. Thiruvathukal; Thomas W. Christopher (IPPS, 1991)

Distributed Memo: A Heterogeneously Distributed and Parallel Software Development Environment. - William T. O'Connell; George K. Thiruvathukal; Thomas W. Christopher (ICPP (2), 1994)

Scalable Parallel Software Architecture: A Layered Architecture to Compose Scalable Parallel Software. - George K. Thiruvathukal; William T. O'Connell; Thomas W. Christopher (PP, 1995)

Technologies for ubiquitous supercomputing: a Java interface to the Nexus communication system. - Ian T. Foster; George K. Thiruvathukal; Steven Tuecke (Concurr. Pract. Exp., 1997)

Reflective remote method invocation. - George K. Thiruvathukal; L. S. Thomas; A. T. Korczynski (Concurr. Pract. Exp., 1998)

A computational framework for telemedicine. - Ian T. Foster; Gregor von Laszewski; George K. Thiruvathukal; Brian R. Toonen (Future Gener. Comput. Syst., 1998)

Wide-Area Implementation of the Message Passing Interface. - Ian T. Foster; Jonathan Geisler; William Gropp; Nicholas T. Karonis; Ewing L. Lusk; George K. Thiruvathukal; Steven Tuecke (Parallel Comput., 1998)

A novel application development environment for large-scale scientific computations. - Xiaohui Shen; Wei-keng Liao; Alok N. Choudhary; Gokhan Memik; Mahmut T. Kandemir; Sachin More; George K. Thiruvathukal; Arti Singh (ICS, 2000)

Java on networks of workstations (JavaNOW): a parallel computing framework inspired by Linda and the Message Passing Interface (MPI). - George K. Thiruvathukal; Phillip M. Dickens; Shahzad Bhatti (Concurr. Pract. Exp., 2000)

Java at middle age: enabling Java for computational science. - George K. Thiruvathukal (Comput. Sci. Eng., 2002)

Scalable Implementations of MPI Atomicity for Concurrent Overlapping I/O. - Wei-keng Liao; Alok N. Choudhary; Kenin Coloma; George K. Thiruvathukal; Lee Ward; Eric Russell; Neil Pundit (ICPP, 2003)

XML and computational science. - George K. Thiruvathukal (Comput. Sci. Eng., 2004)

Gentoo Linux: the next generation of Linux. - George K. Thiruvathukal (Comput. Sci. Eng., 2004)

Natural XML for data binding, processing, and persistence. - George K. Thiruvathukal; Konstantin Läufer (Comput. Sci. Eng., 2004)

Plone and content management. - George K. Thiruvathukal; Konstantin Läufer (Comput. Sci. Eng., 2004)

Guest Editors' Introduction: Cluster Computing. - George K. Thiruvathukal (Comput. Sci. Eng., 2005)

Scalable Approaches for Supporting MPI-IO Atomicity. - Peter M. Aarestad; Avery Ching; George K. Thiruvathukal; Alok N. Choudhary (CCGRID, 2006)

Home Networking. - George K. Thiruvathukal (Comput. Sci. Eng., 2006)

Unit Testing Considered Useful. - George K. Thiruvathukal; Konstantin Läufer; Benjamin Gonzalez (Comput. Sci. Eng., 2006)

A Model-Driven Approach to Job/Task Composition in Cluster Computing. - Neeraj Mehta; Yogesh Kanitkar; Konstantin Läufer; George K. Thiruvathukal (IPDPS, 2007)

A Hike through a Post-EJB J2EE Web Application Architecture, Part III. - Konstantin Läufer; George K. Thiruvathukal; Benjamin Gonzalez (Comput. Sci. Eng., 2007)

Project Hosting: Expanding the Scientific Programmer's Toolbox. - George K. Thiruvathukal (Comput. Sci. Eng., 2007)

Taming XML: Objects first, then markup. - Matt Bone; Peter F. Nabicht; Konstantin Läufer; George K. Thiruvathukal (EIT, 2008)

Combining SOA and BPM Technologies for Cross-System Process Automation. - S. Herr; Konstantin Läufer; J. Shafaee; George K. Thiruvathukal; Guido Wirtz (SEKE, 2008)

At Issue. - Bill Feiereisen; George K. Thiruvathukal (Comput. Sci. Eng., 2008)

A Virtual Computing Laboratory. - Joe Kaylor; George K. Thiruvathukal (Comput. Sci. Eng., 2008)

High-Performance Computing Applications on Novel Architectures. - Volodymyr V. Kindratenko; George K. Thiruvathukal; Steven A. Gottlieb (Comput. Sci. Eng., 2008)

What I Did on My Summer Vacation. - George K. Thiruvathukal; Konstantin Läufer (Comput. Sci. Eng., 2008)

Essential Tools: Version Control Systems. - Konrad Hinsen; Konstantin Läufer; George K. Thiruvathukal (Comput. Sci. Eng., 2009)

The Promises of Typed, Pure, and Lazy Functional Programming: Part II. - Konstantin Läufer; George K. Thiruvathukal (Comput. Sci. Eng., 2009)

Putting a Slug to Work. - Konstantin Läufer; George K. Thiruvathukal; Ryohei Nishimura; Carlos Ramirez Martinez-Eiroa (Comput. Sci. Eng., 2009)

Introducing Computing Now. - George K. Thiruvathukal (Comput. Sci. Eng., 2009)

Computational Thinking … and Doing. - George K. Thiruvathukal (Comput. Sci. Eng., 2009)

Creative Engagement with Creative Works: a New Paradigm for Collaboration. - Steven E. Jones; Peter Shillingsburg; George K. Thiruvathukal (DH, 2010)

Your Local Cloud-Enabled Library. - George K. Thiruvathukal (Comput. Sci. Eng., 2010)

Virtualization for Computational Scientists. - George K. Thiruvathukal; Konrad Hinsen; Konstantin Läufer; Joe Kaylor (Comput. Sci. Eng., 2010)

The Object of Platform Studies: Relational Materialities and the Social Platform (the case of the Nintendo Wii). - Steven E. Jones; George K. Thiruvathukal (DH, 2011)

Initial Experience in Moving Key Academic Department Functions to Social Networking Sites. - David B. Dennis; Konstantin Läufer; George K. Thiruvathukal (ICSOFT (1), 2011)

REST on Routers? - Preliminary Lessons for Language Designers, Framework Architects and App Developers. - Joe Kaylor; Konstantin Läufer; George K. Thiruvathukal (ICSOFT (1), 2011)

RestFS: resources and services are filesystems, too. - Joe Kaylor; Konstantin Läufer; George K. Thiruvathukal (WS-REST, 2011)

Moving Academic Department Functions to Social Networks and Clouds: Initial Experiences. - Konstantin Läufer; George K. Thiruvathukal; David B. Dennis (Comput. Sci. Eng., 2011)

Books [reviews of "Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and "Introduction to High Performance Computing for Scientists and Engineers"; Hager, G. and Wellein, G.; 2011) [Book review]. - George K. Thiruvathukal (Comput. Sci. Eng., 2011)

Beyond CiSE and Back to the Future. - George K. Thiruvathukal (Comput. Sci. Eng., 2011)

Simplifying domain modeling and memory management in user-mode filesystems with the NOFS framework. - Joseph P. Kaylor; Konstantin Läufer; George K. Thiruvathukal (EIT, 2012)

Innovation Mashups: Academic Rigor Meets Social Networking Buzz. - Dejan S. Milojicic; Martin F. Arlitt; Dorée Duncan Seligmann; George K. Thiruvathukal; Christian Timmerer (Computer, 2012)

Digging into Data. - George K. Thiruvathukal (Comput. Sci. Eng., 2012)

Using Scala strategically across the undergraduate curriculum (abstract only). - Mark C. Lewis; Konstantin Läufer; George K. Thiruvathukal (SIGCSE, 2013)

Computational Science, Demystified ... the Future, Revealed ... and CiSE, 2013. - George K. Thiruvathukal (Comput. Sci. Eng., 2013)

Productivity in the Cognitive Overload Era. - George K. Thiruvathukal (Comput. Sci. Eng., 2013)

What's in an Algorithm? - George K. Thiruvathukal (Comput. Sci. Eng., 2013)

Cloud Computing. - George K. Thiruvathukal; Manish Parashar (Comput. Sci. Eng., 2013)

Single Page Apps for Humanists: A Case Study using the Perseus Richmond Times Corpus. - Trevor Borg; George Kuriakose Thiruvathukal (DH, 2014)

Scala for introductory CS and parallelism(abstract only). - Mark C. Lewis; Konstantin Läufer; George K. Thiruvathukal (SIGCSE, 2014)

Extreme Data. - Manish Parashar; George K. Thiruvathukal (Comput. Sci. Eng., 2014)

What We Publish in CiSE. - George K. Thiruvathukal (Comput. Sci. Eng., 2014)

A framework architecture for student learning in distributed embedded systems. - William L. Honig; Konstantin Läufer; George K. Thiruvathukal (SIES, 2015)

Scientific Software Communities. - Andy R. Terrel; Michael Tobis; George K. Thiruvathukal (Comput. Sci. Eng., 2015)

The Next Generation of Computational Science and Engineering. - George K. Thiruvathukal (Comput. Sci. Eng., 2015)

The All-Digital Future and Digital CiSE. - George K. Thiruvathukal (Comput. Sci. Eng., 2015)

Cloudy with a Chance of Sunshine, or the Future of Magazine Publishing. - George K. Thiruvathukal (Comput. Sci. Eng., 2015)

Broadening participation and RESPECT: join our new professional organization and conference! - Tiffany Barnes; George K. Thiruvathukal (ACM SIGCSE Bull., 2015)

The need for research in broadening participation. - Tiffany Barnes; George K. Thiruvathukal (Commun. ACM, 2016)

Guest Editors' introduction. - Tiffany Barnes; Jamie Payton; George K. Thiruvathukal; Kristy Elizabeth Boyer; Jeffrey Forbes 001 (Comput. Sci. Eng., 2016)

Best of RESPECT, Part 2. - Tiffany Barnes; Jamie Payton; George K. Thiruvathukal; Kristy Elizabeth Boyer; Jeffrey Forbes 001 (Comput. Sci. Eng., 2016)

El Fin. - George K. Thiruvathukal (Comput. Sci. Eng., 2016)

Comparison of Visual Datasets for Machine Learning. - Kent Gauen; Ryan Dailey; John Laiman; Yuxiang Zi; Nirmal Asokan; Yung-Hsiang Lu; George K. Thiruvathukal; Mei-Ling Shyu; Shu-Ching Chen (IRI, 2017)

A distributed graph approach for pre-processing linked RDF data using supercomputers. - Michael J. Lewis; George K. Thiruvathukal; Venkatram Vishwanath; Michael E. Papka; Andrew E. Johnson 001 (SBD@SIGMOD, 2017)

Teaching Concurrent Software Design: A Case Study Using Android. - Konstantin Läufer; George K. Thiruvathukal (CoRR, 2017)

Reproducible Research for Computing in Science & Engineering. - Lorena A. Barba; George K. Thiruvathukal (Comput. Sci. Eng., 2017)

The Graph Database: Jack of All Trades or Just Not SQL? - George F. Hurlburt; George K. Thiruvathukal; Maria R. Lee (IT Prof., 2017)

RESPECT '18. - Jamie Payton; Felesia Stukes; George K. Thiruvathukal; Jakita Owensby Thomas (ACM SIGCSE Bull., 2017)

Managing Concurrency in Mobile User Interfaces with Examples in Android. - Konstantin Läufer; George K. Thiruvathukal (Topics in Parallel and Distributed Computing, 2018)

A Survey of Software Metric Use in Research Software Development. - Nasir U. Eisty; George K. Thiruvathukal; Jeffrey C. Carver (eScience, 2018)

Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. - Ahmed S. Kaseb; Bo Fu; Anup Mohan; Yung-Hsiang Lu; Amy R. Reibman; George K. Thiruvathukal (MIPR, 2018)

Metrics Dashboard: A Hosted Platform for Software Quality Metrics. - George K. Thiruvathukal; Shilpika; Nicholas J. Hayward; Konstantin Läufer (CoRR, 2018)

Auto-generated Spies Increase Test Maintainability. - Konstantin Läufer; John O'Sullivan; George K. Thiruvathukal (CoRR, 2018)

2018 Low-Power Image Recognition Challenge. - Sergei Alyamkin; Matthew Ardi; Achille Brighton; Alexander C. Berg; Yiran Chen 001; Hsin-Pai Cheng; Bo Chen 019; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Jongkook Go; et al. (CoRR, 2018)

Former CiSE EICs Reflect on the Magazines 20th Anniversary. - Francis Sullivan; Norman Chonacky; Isabel Beichl; George K. Thiruvathukal (Comput. Sci. Eng., 2018)

Advancing broadening participation research at RESPECT. - Jamie Payton; George K. Thiruvathukal (ACM SIGCSE Bull., 2018)

Use of Software Process in Research Software Development: A Survey. - Nasir U. Eisty; George K. Thiruvathukal; Jeffrey C. Carver (EASE, 2019)

Exercises Integrating High School Mathematics with Robot Motion Planning. - Ronald I. Greenberg; George K. Thiruvathukal (FIE, 2019)

Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. - Caleb Tung; Matthew R. Kelleher; Ryan J. Schlueter; Binhan Xu; Yung-Hsiang Lu; George K. Thiruvathukal; Yen-Kuang Chen; Yang Lu 013 (MIPR, 2019)

Towards High-End Scalability on Biologically-Inspired Computational Models. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (PARCO, 2019)

Integrating Mathematics and Educational Robotics: Simple Motion Planning. - Ronald I. Greenberg; George K. Thiruvathukal; Sara T. Greenberg (RiE, 2019)

Tests as maintainable assets via auto-generated spies: a case study involving the scala collections library's iterator trait. - Konstantin Läufer; John O'Sullivan; George K. Thiruvathukal (SCALA@ECOOP, 2019)

See the World Through Network Cameras. - Yung-Hsiang Lu; George K. Thiruvathukal; Ahmed S. Kaseb; Kent Gauen; Damini Rijhwani; Ryan Dailey; Deeptanshu Malik; Yutong Huang; Sarah Aghajanzadeh; Minghao Guo (Computer, 2019)

Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. - Chittayong Surakitbanharn; Calvin Yau; Guizhen Wang; Aniesh Chawla; Yinuo Pan; Zhaoya Sun; Sam Yellin; David S. Ebert; Yung-Hsiang Lu; George K. Thiruvathukal (CoRR, 2019)

Low-Power Computer Vision: Status, Challenges, Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (CoRR, 2019)

A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. - George K. Thiruvathukal; Cameron Christensen; Xiaoyong Jin; François Tessier; Venkatram Vishwanath (CoRR, 2019)

Low-Power Computer Vision: Status, Challenges, and Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Cloud Resource Optimization for Processing Multiple Streams of Visual Data. - Zohar Kapach; Andrew Ulmer; Daniel Merrick; Arshad Alikhan; Yung-Hsiang Lu; Anup Mohan; Ahmed S. Kaseb; George K. Thiruvathukal (IEEE Multim., 2019)

Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Prerelease. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Release for PLOS submission. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.1. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.2. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.3. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.4. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.5. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.6. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.7. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.8. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.9. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.10. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.11. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.12. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.8.13. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

PurdueCAM2Project/SE4ML v0.9. - Yung-Hsiang Lu; George K. Thiruvathukal (Zenodo, 2019)

neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Mauricio David Perez; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. - Brook W. Abegaz; Eric Chan-Tin; Neil Klingensmith; George K. Thiruvathukal (AutomotiveUI (adjunct), 2020)

A Real-Time Feature Indexing System on Live Video Streams. - Aditya Chakraborty; Akshay Pawar; Hojoung Jang; Shunqiao Huang; Sripath Mishra; Shuo-Han Chen; Yuan-Hao Chang 001; George K. Thiruvathukal; Yung-Hsiang Lu (COMPSAC, 2020)

FLIC: A Distributed Fog Cache for City-Scale Applications. - Jack West; Neil Klingensmith; George K. Thiruvathukal (ICFC, 2020)

Camera Placement Meeting Restrictions of Computer Vision. - Sarah Aghajanzadeh; Roopasree Naidu; Shuo-Han Chen; Caleb Tung; Abhinav Goel; Yung-Hsiang Lu; George K. Thiruvathukal (ICIP, 2020)

Low-power object counting with hierarchical neural networks. - Abhinav Goel; Caleb Tung; Sarah Aghajanzadeh; Isha Ghodgaonkar; Shreya Ghosh 003; George K. Thiruvathukal; Yung-Hsiang Lu (ISLPED, 2020)

A Survey of Methods for Low-Power Deep Learning and Computer Vision. - Abhinav Goel; Caleb Tung; Yung-Hsiang Lu; George K. Thiruvathukal (WF-IoT, 2020)

Crowdsourcing Detection of Sampling Biases in Image Datasets. - Xiao Hu 004; Haobo Wang; Anirudh Vegesana; Somesh Dube; Kaiwen Yu; Gore Kao; Shuo-Han Chen; Yung-Hsiang Lu; George K. Thiruvathukal; Ming Yin 001 (WWW, 2020)

VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract). - Jack West; Tien VoNguyen; Isaac Ahlgren; Iryna Motyashok; George K. Thiruvathukal; Neil Klingensmith (CoRR, 2020)

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. - Isha Ghodgaonkar; Abhinav Goel; Fischer Bordwell; Caleb Tung; Sarah Aghajanzadeh; Noah Curran; Ryan Chen; Kaiwen Yu; Sneha Mahapatra; Vishnu Banna; Gore Kao; Kate Lee; et al. (CoRR, 2020)

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. - Isha Ghodgaonkar; Subhankar Chakraborty; Vishnu Banna; Shane Allcroft; Mohammed Metwaly; Fischer Bordwell; Kohsuke Kimura; Xinxin Zhao; Abhinav Goel; Caleb Tung; Akhil Chinnakotla; Minghao Xue; et al. (CoRR, 2020)

Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. - Olivier Mesnard; Lorena A. Barba; George K. Thiruvathukal (Comput. Sci. Eng., 2020)

Provenance Tracking in the LHCb Software. - Ana Trisovic; Chris R. Jones; Ben Couturier; Marco Clemencic; Lorena A. Barba; George K. Thiruvathukal (Comput. Sci. Eng., 2020)

Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. - Jack West; Kyuin Lee; Suman Banerjee 001; Younghyun Kim 001; George K. Thiruvathukal; Neil Klingensmith (IPSN, 2021)

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; Haobo Wang; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (ISLPED, 2021)

Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. - Ryan Dailey; Aniesh Chawla; Andrew Liu; Sripath Mishra; Ling Zhang; Josh Majors; Yung-Hsiang Lu; George K. Thiruvathukal (CoRR, 2021)

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. - Vishnu Banna; Akhil Chinnakotla; Zhengxin Yan; Anirudh Vegesana; Naveen Vivek; Kruthi Krishnappa; Wenxin Jiang 001; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2021)

Trustworthy Computational Evidence Through Transparency and Reproducibility. - Lorena A. Barba; George K. Thiruvathukal (Comput. Sci. Eng., 2021)

Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. - Duncan A. Brown; Karan Vahi; Michela Taufer; Von Welch; Ewa Deelman; Lorena A. Barba; George K. Thiruvathukal (Comput. Sci. Eng., 2021)

Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology. - Gregory J. Matthews; Karthik Bharath; Sebastian Kurtek; Juliet K. Brophy; George K. Thiruvathukal; Ofer Harel (Frontiers Appl. Math. Stat., 2021)

Modular Neural Networks for Low-Power Image Classification on Embedded Devices. - Abhinav Goel; Sarah Aghajanzadeh; Caleb Tung; Shuo-Han Chen; George K. Thiruvathukal; Yung-Hsiang Lu (ACM Trans. Design Autom. Electr. Syst., 2021)

SSL Metrics Datasets. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal; Sohini Thota (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc: 0.6.4. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc: 0.7.1.1. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc: 0.7.2.2. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-github-issues: Release 0.6.2. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-github-issues: 0.6.2.1. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2021)

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. - Caleb Tung; Abhinav Goel; Xiao Hu 004; Nick Eliopoulos; Emmanuel S. Amobi; George K. Thiruvathukal; Vipin Chaudhary; Yung-Hsiang Lu (AICAS, 2022)

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ASP-DAC, 2022)

UnoAPI: Balancing Performance, Portability, and Productivity (P3) in HPC Education. - Konstantin Läufer; George K. Thiruvathukal (EduHPC@SC, 2022)

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. - Abhinav Goel; Caleb Tung; Nick Eliopoulos; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ISLPED, 2022)

Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. - Nicholas M. Synovic; Matt Hyatt; Rohan Sethi; Sohini Thota; Shilpika; Allan J. Miller; Wenxin Jiang 001; Emmanuel S. Amobi; Austin Pinderski; Konstantin Läufer; Nicholas J. Hayward; Neil Klingensmith; et al. (ASE, 2022)

An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. - Wenxin Jiang 001; Nicholas Synovic; Rohan Sethi; Aryan Indarapu; Matt Hyatt; Taylor R. Schorlemmer; George K. Thiruvathukal; James C. Davis 001 (SCORED@CCS, 2022)

A universally composable bit generation scheme for zero involvement authentication. - Isaac Ahlgren; Jack West; George K. Thiruvathukal; Neil Klingensmith (HotMobile, 2022)

Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. - Jakob Veselsky; Jack West; Isaac Ahlgren; George K. Thiruvathukal; Neil Klingensmith; Abhinav Goel; Wenxin Jiang 001; James C. Davis 001; Kyuin Lee; Younghyun Kim 001 (HotMobile, 2022)

Efficient Computer Vision for Embedded Systems. - George K. Thiruvathukal; Yung-Hsiang Lu (Computer, 2022)

Towards an Active Foveated Approach to Computer Vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal; Alejandro Wainselboim (Computación y Sistemas, 2022)

Why Accuracy is Not Enough: The Need for Consistency in Object Detection. - Caleb Tung; Abhinav Goel; Fischer Bordwell; Nick Eliopoulos; Xiao Hu 004; Yung-Hsiang Lu; George K. Thiruvathukal (IEEE Multim., 2022)

Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. - Yucheng Yang 003; Jack West; George K. Thiruvathukal; Neil Klingensmith; Kassem Fawaz (Proc. Priv. Enhancing Technol., 2022)

Automated Discovery of Network Cameras in Heterogeneous Web Pages. - Ryan Dailey; Aniesh Chawla; Andrew Liu; Sripath Mishra; Ling Zhang; Josh Majors; Yung-Hsiang Lu; George K. Thiruvathukal (ACM Trans. Internet Techn., 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-productivity. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-github-issues. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-commits-loc. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-pipeline. - Jake Palmer; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-pipeline. - Jake Palmer; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-pipeline. - Jake Palmer; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-json-converter. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-json-converter. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-repository-searcher. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-json-converter. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-git-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-productivity. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-productivity. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-productivity. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Matt Hyatt; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Matt Hyatt; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Matt Hyatt; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issue-density. - Matt Hyatt; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issue-density. - Matt Hyatt; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-github-issues. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-github-issue-spoilage. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-github-issues. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issue-spoilage. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issues. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issues. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issues. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-issue-spoilage. - Jake Palmer; Rohan Sethi; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-pipeline. - Jake Palmer; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-pipeline. - Jake Palmer; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-badges. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-badges. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-badges. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-badges. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-json-converter. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-github-repository-searcher. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-github-repository-searcher. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/ssl-metrics-json-converter. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-metrics. - Matt Hyatt; Amy Kuhl; Jake Palmer; Rohan Sethi; Ethan Stoneman; Nicholas Synovic; Sohini Thota; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

SoftwareSystemsLaboratory/clime-bus-factor. - Matt Hyatt; Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

Extracted MSR GitHub Repository URLs. - Nicholas Synovic; George K. Thiruvathukal (Zenodo, 2022)

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. - Wenxin Jiang 001; Nicholas Synovic; Matt Hyatt; Taylor R. Schorlemmer; Rohan Sethi; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (ICSE, 2023)

Reusing Deep Learning Models: Challenges and Directions in Software Engineering. - James C. Davis 001; Purvish Jajal; Wenxin Jiang 001; Taylor R. Schorlemmer; Nicholas Synovic; George K. Thiruvathukal (JVA, 2023)

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (MSR, 2023)

EduHPC Lightning Talk Summary. - Michael Alexander; Sanjukta Bhowmick; Befikir Bogale; Gilberto Díaz; Anne C. Elster; Danielle A. Ellsworth; Carlos Jaime Barrios Hernández; Evan Jaffe; Jack Marquez; Alison Melton; Aashish Pandey; Suzanne Parete-Koon; et al. (SC Workshops, 2023)

Peachy Parallel Assignments (EduHPC 2023). - H. Martin Bücker; Jeremiah Corrado; Daniel Fedorin; Diego García-Álvarez; Arturo González-Escribano; John Li; Maria Pantoja; Erik Pautsch; Marieke Plesske; Marcelo Ponce; Silvio Rizzi 001; Erik Saule; et al. (SC Workshops, 2023)

Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. - Erik Pautsch; John Li; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2023)

Userland Containers for Mobile Systems. - Isaac Ahlgren; Victor Rakotondranoro; Yasin N. Silva; Eric Chan-Tin; George K. Thiruvathukal; Neil Klingensmith (HotMobile, 2023)

Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. - Purvish Jajal; Wenxin Jiang 001; Arav Tewari; Joseph Woo; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2023)

Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (CoRR, 2023)

Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs. - Wenxin Jiang 001; Chingwo Cheung; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2023)

PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. - Wenxin Jiang 001; Jason Jones; Jerin Yasmin; Nicholas Synovic; Rajeev Sashti; Sophie Chen; George K. Thiruvathukal; Yuan Tian 008; James C. Davis 001 (CoRR, 2023)

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Chen-Yung Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (CoRR, 2023)

SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA). - Isaac Ahlgren; Jack West; Kyuin Lee; George K. Thiruvathukal; Neil Klingensmith (CoRR, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

SoftwareSystemsLaboratory/PTMTorrent. - Wenxin Jiang 001; Nicholas Synovic; Purvish Jajal; Taylor R. Schorlemmer; Arav Tewari; Bhavesh Pareek; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM. - Wenxin Jiang 001; Nicholas Synovic; Matt Hyatt; Taylor R. Schorlemmer; Rohan Sethi; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM. - Wenxin Jiang 001; Nicholas Synovic; Matt Hyatt; Taylor R. Schorlemmer; Rohan Sethi; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM. - Wenxin Jiang 001; Nicholas Synovic; Matt Hyatt; Taylor R. Schorlemmer; Rohan Sethi; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry VM. - Wenxin Jiang 001; Nicholas Synovic; Matt Hyatt; Taylor R. Schorlemmer; Rohan Sethi; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (Zenodo, 2023)

Observing Human Mobility Internationally During COVID-19. - Shane Allcroft; Mohammed Metwaly; Zachery Berg; Isha Ghodgaonkar; Fischer Bordwell; Xinxin Zhao; Xinglei Liu; Jiahao Xu; Subhankar Chakraborty; Vishnu Banna; Akhil Chinnakotla; Abhinav Goel; et al. (Computer, 2023)

LoyolaChicagoBooks/curricula: v0.1. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.1. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.2. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.3. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.4. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.5. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.6. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.7. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.9. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.8. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.11. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. - Abhinav Goel; Caleb Tung; Nick Eliopoulos; George K. Thiruvathukal; Amy Wang; Yung-Hsiang Lu; James C. Davis 001 (IEEE Des. Test, 2023)

LoyolaChicagoBooks/curricula: v0.1.12. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

LoyolaChicagoBooks/curricula: v0.1.13. - George K. Thiruvathukal; Konstantin Läufer (Zenodo, 2023)

Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ziteng Jiao; Ayden Kocher; Zhenyu Wu 002; Junjie Liu; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (Computer, 2023)

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. - Caleb Tung; Nicholas Eliopoulos; Purvish Jajal; Gowri Ramshankar; Cheng-Yun Yang; Nicholas Synovic; Xuecen Zhang; Vipin Chaudhary; George K. Thiruvathukal; Yung-Hsiang Lu (ASPDAC, 2024)

What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. - Jason Jones; Wenxin Jiang 001; Nicholas Synovic; George K. Thiruvathukal; James C. Davis 001 (ESEM, 2024)

WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+. - Konstantin Läufer; Gunda Mertin; George K. Thiruvathukal (FIE, 2024)

Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. - Purvish Jajal; Wenxin Jiang 001; Arav Tewari; Erik Kocinare; Joseph Woo; Anusha Sarraf; Yung-Hsiang Lu; George K. Thiruvathukal; James C. Davis 001 (ISSTA, 2024)

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. - Wenxin Jiang 001; Jerin Yasmin; Jason Jones; Nicholas Synovic; Jiashen Kuo; Nathaniel Bielanski; Yuan Tian 008; George K. Thiruvathukal; James C. Davis 001 (MSR, 2024)

Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. - Clara J. Almeida; David Guerrero-Pantoja; Erik Pautsch; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2024)

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (SVCC, 2024)

The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. - Firuz Juraev; Mohammed Abuhamad; Simon S. Woo; George K. Thiruvathukal; Tamer Abuhmed (SVCC, 2024)

2023 Low-Power Computer Vision Challenge (LPCVC) Summary. - Leo Chen; Benjamin Boardley; Ping Hu; Yiru Wang; Yifan Pu; Xin Jin; Yongqiang Yao; Ruihao Gong; Bo Li 026; Gao Huang 001; Xianglong Liu 001; Zifu Wan; et al. (CoRR, 2024)

A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things. - Isaac Ahlgren; Jack West; Kyuin Lee; George K. Thiruvathukal; Neil Klingensmith (CoRR, 2024)

Impact of Architectural Modifications on Deep Learning Adversarial Robustness. - Firuz Juraev; Mohammed Abuhamad; Simon S. Woo; George K. Thiruvathukal; Tamer Abuhmed (CoRR, 2024)

From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. - Firuz Juraev; Mohammed Abuhamad; Eric Chan-Tin; George K. Thiruvathukal; Tamer Abuhmed (CoRR, 2024)

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. - Huiyun Peng; Arjun Gupte; Nicholas John Eliopoulos; Chien Chou Ho; Rishi Mantri; Leo Deng; Wenxin Jiang 001; Yung-Hsiang Lu; Konstantin Läufer; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2024)

Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software? - Ryan Hasler; Konstantin Läufer; George K. Thiruvathukal; Huiyun Peng; Kyle Robinson; Kirsten Davis; Yung-Hsiang Lu; James C. Davis 001 (CoRR, 2024)

Containerization on a self-supervised active foveated approach to computer vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal (Rev. Colomb. de Computación, 2024)

SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (IEEE Trans. Inf. Forensics Secur., 2024)

Crowdsourcing: A Roundtable Discussion. - Joanna F. DeFranco; Nir Kshetri; George K. Thiruvathukal; George F. Hurlburt (Computer, 2024)

Artificial Intelligence Employment Interviews: Examining Limitations, Biases, and Perceptions. - Theresa Fister; George K. Thiruvathukal (Computer, 2024)

nickjeliopoulos/PruneOneMoreToken. - Nick John Eliopoulos; George K. Thiruvathukal (Zenodo, 2024)

Challenges and practices of deep learning model reengineering: A case study on computer vision. - Wenxin Jiang 001; Vishnu Banna; Naveen Vivek; Abhinav Goel; Nicholas Synovic; George K. Thiruvathukal; James C. Davis 001 (Empir. Softw. Eng., 2024)

Engaging More Students in Formal Methods Education: A Practical Approach Using Temporal Logic of Actions. - Konstantin Läufer; Gunda Mertin; George K. Thiruvathukal (Computer, 2024)

Not-so-Secret Authentication: The SyncBleed Attacks and Defenses for Zero-Involvement Authentication Systems. - Isaac Ahlgren; Rushikesh Shirsat; Omar Achkar; George K. Thiruvathukal; Kyuin Lee; Neil Klingensmith (CSR, 2025)

Accelerating uncertainty methods for distributed deep learning on novel architectures. - David Guerrero-Pantoja; Erik Pautsch; Clara J. Almeida; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (J. Supercomput., 2025)

Low Code/No Code Meets the Metaverse. - George F. Hurlburt; George K. Thiruvathukal; Nir Kshetri; Norita B. Ahmad (Computer, 2025)

Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis. - Nikita Ravi; Abhinav Goel; James C. Davis 001; George K. Thiruvathukal (CoRR, 2025)

Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms. - Purvish Jajal; Nick John Eliopoulos; Benjamin Shiue-Hal Chou; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (CoRR, 2025)

SysLLMatic: Large Language Models are Software System Optimizers. - Huiyun Peng; Arjun Gupte; Ryan Hasler; Nicholas John Eliopoulos; Chien Chou Ho; Rishi Mantri; Leo Deng; Konstantin Läufer; George K. Thiruvathukal; James C. Davis 001 (CoRR, 2025)

2024 NSF CSSI-Cybertraining-SCIPE PI Meeting August 12 to 13, 2024, Charlotte, NC. - Abani K. Patra; Mary P. Thomas; Elias Bou-Harb; Jeffrey C. Carver; Yuebin Guo; Ratnesh Kumar; Julien Langou; Guoyu Lu; Vivak Patel; Marianna Safronova; Isla Simpson; Dhruva Chakravorty; et al. (CoRR, 2025)

"I see models being a whole other thing": an empirical study of pre-trained model naming conventions and a tool for enhancing naming consistency. - Wenxin Jiang 001; Mingyu Kim; Chingwo Cheung; Heesoo Kim; George K. Thiruvathukal; James C. Davis 001 (Empir. Softw. Eng., 2025)