| 2026 | AIED | When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment. | Robinson Ferrer, Damla Turgut, Zhongzhou Chen, Shashank Sonkar |
| 2025 | LAK | Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education. | Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen |
| 2024 | LAK | Can Crowdsourcing Platforms Be Useful for Educational Research? | Karen D. Wang, Zhongzhou Chen, Carl E. Wieman |
| 2022 | LAK | A Multi-Level Trace Clustering Analysis Scheme for Measuring Students' Self-Regulated Learning Behavior in a Mastery-Based Online Learning Environment. | Tom Zhang, Michelle Taub, Zhongzhou Chen |
| 2021 | LAK | Measuring the Impact of COVID-19 Induced Campus Closure on Student Self-Regulated Learning in Physics Online Learning Modules. | Tom Zhang, Michelle Taub, Zhongzhou Chen |
| 2019 | EDM | Adding duration-based quality labels to learning events for improved description of students' online learning behavior. | Matthew W. Guthrie, Zhongzhou Chen |
| 2018 | EDM | Re-designing the Structure of Online Courses to Empower Educational Data Mining. | Zhongzhou Chen, Sunbok Lee, Geoffrey Garrido |
| 2016 | EDM | Examining the necessity of problem diagrams using MOOC AB experiments. | Zhongzhou Chen, Neset Demirci, David E. Pritchard |
| 2007 | ACC | A Dynamic Decoupling Control Approach and Its Applications to Chemical Processes. | Qing Zheng, Zhongzhou Chen, Zhiqiang Gao |