| 2025 | GECCO | Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections. | Evan Patterson, Joshua Karns, Zimeng Lyu, Travis Desell |
| 2025 | IJCNN | Minimally Supervised Regression using Topological Projections in Self-Organizing Maps. | Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell |
| 2024 | GECCO | Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. | Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz |
| 2024 | IJCNN | Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. | Zimeng Lyu, Pujan Thapa, Travis Desell |
| 2023 | GECCO | Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. | Amit Dilip Kini, Swaraj Sambhaji Yadav, Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell |
| 2022 | GECCO | ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. | Zimeng Lyu, Travis Desell |
| 2021 | GECCO | Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. | Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steven A. Benson, Seth Thoelke, Travis Desell |
| 2020 | GECCO | Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. | AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell |