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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)- [i3]Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen:
The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist. CoRR abs/2507.11810 (2025) - [i2]Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen:
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. CoRR abs/2509.19326 (2025) - [i1]Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen:
ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. CoRR abs/2510.16549 (2025) - 2024
- [c10]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 - [c9]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 - [c8]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 - [c7]Jialin Cui, Runqiu Zhang, Qinjin Jia, Fangtong Zhou, Ruochi Li, Edward F. Gehringer:
A Statistical Study of Female Students in a Software Engineering Class: Preparedness, Performance, and Contribution. FIE 2024: 1-9 - [c6]Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer:
A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. ITiCSE (1) 2024 - [c5]Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer:
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, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer:
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, Runqiu Zhang:
Can Pre-class GitHub Contributions Predict Success by Student Teams? ICSE (SEET) 2022: 40-49
2010 – 2019
- 2019
- [c1]Shijuan Wang, Ruochi Li, Dongqian Ma, Huichen Gao:
The Effects of Individual Preparations on Group Creativity. ICETC 2019: 219-222
Coauthor Index
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