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Ruochi Li
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2020 – today
- 2025
- [j1]Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding:
Enhancing data quality in medical concept normalization through large language models. J. Biomed. Informatics 165: 104812 (2025) - 2024
- [c9]Jialin Cui, Runqiu Zhang, Fangtong Zhou, Ruochi Li, Yang Song, Edward F. Gehringer
:
How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics. CSEE&T 2024: 1-10 - [c8]Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer:
LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors. EDM 2024 - [c7]Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer:
On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments. EDM 2024 - [c6]Jialin Cui
A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. ITiCSE (1) 2024 - [c5]Jialin Cui
How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. SIGCSE (1) 2024: 255-261 - 2023
- [c4]Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer:
Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics. FIE 2023: 1-9 - [c3]Jialin Cui
Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. ITiCSE (1) 2023: 526-532 - 2022
- [c2]Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer
Can Pre-class GitHub Contributions Predict Success by Student Teams? ICSE (SEET) 2022: 40-49
2010 – 2019
- 2019
- [c1]Shijuan Wang
The Effects of Individual Preparations on Group Creativity. ICETC 2019: 219-222
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