| 2024 | EDM | The Construction and Analysis of Course Grades Across Public Universities. | Hyun Jeong, Gary M. Weiss, Audrey Leung, Daniel D. Leeds |
| 2023 | COMPSAC | An Analysis of Grading Patterns in Undergraduate University Courses. | Gary M. Weiss, Luisa A. L. Rosa, Hyun Jeong, Daniel D. Leeds |
| 2022 | EDM | Assessing Instructor Effectiveness Based on Future Student Performance. | Gary Weiss, Erik Brown, Michael Riad-Zaky, Ruby Iannone, Daniel D. Leeds |
| 2022 | EDM | The Impact of Semester Gaps on Student Grades. | Gary Weiss, Joseph Denham, Daniel D. Leeds |
| 2022 | EDM | Generalized Sequential Pattern Mining of Undergraduate Courses. | Daniel D. Leeds, Cody Chen, Yijun Zhao, Fiza Metla, James Guest, Gary Weiss |
| 2021 | CogSci | Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis. | Laura G. Reno, Christian G. Habeck, Yaakov Stern, Daniel D. Leeds |
| 2021 | EDM | Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. | Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds |
| 2021 | EDM | Measuring the Academic Impact of Course Sequencing using Student Grade Data. | Tess Gutenbrunner, Daniel D. Leeds, Spencer Ross, Michael Riad-Zaky, Gary Weiss |
| 2021 | EDM | Mining Course Groupings based on Academic Performance. | Daniel D. Leeds, Tianyi Zhang, Gary Weiss |
| 2020 | RecSys | A College Major Recommendation System. | Samuel A. Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds |
| 2016 | CogSci | Single-kernel models of single-voxel visual selectivities in convolution neural networks. | Daniel D. Leeds, Ivan Iotzov |