Renzhe Yu
Orcid: 0000-0002-2375-3537
According to our database1,
Renzhe Yu
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
CoRR, 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums.
Proceedings of the 16th International Conference on Educational Data Mining, 2023
2022
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning.
CoRR, 2022
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022
2021
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment.
CoRR, 2021
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021
2020
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019
2018
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018