Ruochi Li

According to our database, Ruochi Li authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation.

Haoxuan Zhang, Ruochi Li, Yang Zhang, Zhenni Liang, Junhua Ding, Ting Xiao, Haihua Chen

CoRR, April, 2026

A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions.

Haihua Chen, Yuhan Zhou, Ruochi Li, Aryan Murthy Illa, Ana D. Cleveland, Junhua Ding

J. Biomed. Informatics, 2026

AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation.

Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist.

Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen

CoRR, July, 2025

Enhancing data quality in medical concept normalization through large language models.

Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding

J. Biomed. Informatics, 2025

ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation.

Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2025

Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers.

Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study.

Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class.

Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

A Statistical Study of Female Students in a Software Engineering Class: Preparedness, Performance, and Contribution.

Jialin Cui, Runqiu Zhang, Qinjin Jia, Fangtong Zhou, Ruochi Li, Edward F. Gehringer

Proceedings of the IEEE Frontiers in Education Conference, 2024

On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments.

Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer

Proceedings of the 17th International Conference on Educational Data Mining, 2024

LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors.

Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer

Proceedings of the 17th International Conference on Educational Data Mining, 2024

How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics.

Jialin Cui, Runqiu Zhang, Fangtong Zhou, Ruochi Li, Yang Song, Edward F. Gehringer

Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2023

Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study.

Jialin Cui, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics.

Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Can Pre-class GitHub Contributions Predict Success by Student Teams?

Jialin Cui, Ruochi Li, Kaida Lou, Chengyuan Liu, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer, Runqiu Zhang

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022

2019

The Effects of Individual Preparations on Group Creativity.

Shijuan Wang, Ruochi Li, Dongqian Ma, Huichen Gao

Proceedings of the ICETC 2019, 2019