| 2025 | CogSci | What if child vocabulary development followed network acquisition models exactly? | Christopher R. Cox, Stan West, Thomas T. Hills, Eileen Haebig |
| 2024 | CogSci | Modeling Vocabulary Growth in Autistic and Non-Autistic Children. | Eileen Haebig, Stan West, Christopher R. Cox |
| 2024 | CogSci | Context Effects on Word Association Production: A Semantic Warping Account. | Stan West, Christopher R. Cox, Eileen Haebig |
| 2020 | AAAI | Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. | Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu |
| 2020 | CogSci | Enhancing generalization through an optimized sequential curriculum: Learning (to read) through machine teaching. | Matthew Cooper Borkenhagen, Ayon Sen, Mark S. Seidenberg, Jerry Zhu, Christopher R. Cox |
| 2020 | CogSci | Child-directed word associations reveal divergent semantic structure that improves models of early word learning. | Christopher R. Cox, Ashlyn Suchand, Eileen Haebig |
| 2019 | CogSci | Efficiency of Learning in Experience-Limited Domains: Generalization Beyond the Wug Test. | Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg |
| 2019 | MICCAI | Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. | Shuo Zhou, Christopher R. Cox, Haiping Lu |
| 2018 | CogSci | Learning to read with a machine teacher: Discovering efficient procedures for training the orth-to-phon relationships in English. | Christopher R. Cox, Matthew Cooper Borkenhagen, Mark S. Seidenberg |
| 2016 | ICML | Representational Similarity Learning with Application to Brain Networks. | Urvashi Oswal, Christopher R. Cox, Matthew A. Lambon Ralph, Timothy T. Rogers, Robert D. Nowak |