Ryan Zhou

According to our database, Ryan Zhou authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems.

Ryan Zhou, Jaume Bacardit, Alexander Edward Ian Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu

IEEE Trans. Evol. Comput., October, 2025

Microkinetic Modeling of Ethylene Formation in Mo/ZSM-5 with Machine Learning Potentials.

Brandon Bukowski, Yanqi Huang, Ryan Zhou

Dataset, August, 2025

2024

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.

Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu

CoRR, 2024

2023

Evolutionary approaches to explainable machine learning.

Ryan Zhou, Ting Hu

CoRR, 2023

The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms.

Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

Evolving Better Initializations For Neural Networks With Pruning.

Ryan Zhou, Ting Hu

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Permutation-Invariant Representation of Neural Networks with Neuron Embeddings.

Ryan Zhou, Christian Muise, Ting Hu

Proceedings of the Genetic Programming - 25th European Conference, 2022

2020

Reducing error propagation for long term energy forecasting using multivariate prediction.

Maher Selim, Ryan Zhou, Wenying Feng, Omar Alam

Proceedings of 35th International Conference on Computers and Their Applications, 2020