| 2023 | CogSci | How does the mind discover useful abstractions? | Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong |
| 2022 | CogSci | Name that state: How language affects human reinforcement learning. | Angela Radulescu, Wai Keen Vong, Todd M. Gureckis |
| 2022 | CogSci | A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines. | Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake |
| 2022 | CogSci | Categorising images by generating natural language rules. | Wai Keen Vong, Brenden M. Lake |
| 2022 | EMNLP | Abstract Visual Reasoning with Tangram Shapes. | Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert D. Hawkins, Yoav Artzi |
| 2021 | CogSci | Fast and Flexible: Human program induction in abstract reasoning tasks. | Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis |
| 2021 | CogSci | Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks. | Alexa R. Tartaglini, Wai Keen Vong, Brenden M. Lake |
| 2020 | CogSci | Learning word-referent mappings and concepts from raw inputs. | Wai Keen Vong, Brenden M. Lake |
| 2018 | AISTATS | Optimal Cooperative Inference. | Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto |
| 2018 | CogSci | Bayesian Teaching of Image Categories. | Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto |
| 2016 | CogSci | Do additional features help or harm during category learning? An exploration of the curse of dimensionality in human learners. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |
| 2014 | CogSci | The relevance of labels in semi-supervised learning depends on category structure. | Wai Keen Vong, Amy Perfors, Daniel J. Navarro |
| 2013 | CogSci | The role of sampling assumptions in generalization with multiple categories. | Wai Keen Vong, Andrew Hendrickson, Amy Perfors, Daniel J. Navarro |