| 2026 | GECCO | Towards Code-Oriented LM Embeddings for Surrogate-Assisted Neural Architecture Search. | Pranav Somu, Advay Balakrishnan, Stepan Kravtsov, Aaron McDaniel, Jason Zutty |
| 2025 | GECCO | A Comparison and Analysis of LLM Agents within the Context of An LLM-Guided Evolution for Object Detection. | YiMing Yu, Jason Zutty |
| 2025 | GECCO | LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection. | YiMing Yu, Jason Zutty |
| 2024 | GECCO | LLM Guided Evolution - The Automation of Models Advancing Models. | Clint Morris, Michael Jurado, Jason Zutty |
| 2022 | GECCO | Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis. | Abhiram Tirumala, Rishi Bhatnager, Sriram Mudireddy, Pranav Manjunath, Jason Zutty |
| 2022 | GECCO | Evolving SimGANs to improve abnormal electrocardiogram classification. | Gabriel Wang, Anish Thite, Rodd Talebi, Anthony D'Achille, Alex Mussa, Jason Zutty |
| 2021 | GECCO | Concurrent neural tree and data preprocessing AutoML for image classification. | Anish Thite, Mohan Dodda, Alex Liu, Pulak Agarwal, Jason Zutty |
| 2017 | GECCO | Solving test case based problems with fuzzy dominance. | Jason Zutty, Gregory Rohling |
| 2016 | GECCO | Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework. | Jason Zutty, Daniel Long, Gregory Rohling |
| 2015 | GECCO | Multiple Objective Vector-Based Genetic Programming Using Human-Derived Primitives. | Jason Zutty, Daniel Long, Heyward Adams, Gisele Bennett, Christina Baxter |
| 2014 | IGARSS | Qualification testing of the Agilent M9703A digitizer for use in a bathymetric LiDAR. | Grady Tuell, Ryan James, Robert L. Ortman, Christopher R. Valenta, Domenic Carr, Jason Zutty |
| 2013 | PADS | Supporting robust system analysis with the test matrix tool framework. | Edward Clarkson, Jennifer Hurt, Jason Zutty, Christopher Skeels, Brian Parise, Greg Rohling |