Hao Li

According to our database, Hao Li authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering.

Hao Li, Haoxiang Zhang, Ahmed E. Hassan

CoRR, July, 2025

On the Effect of Token Merging on Pre-trained Models for Code.

Mootez Saad, Hao Li, Tushar Sharma, Ahmed E. Hassan

CoRR, July, 2025

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers.

Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Gopi Krishnan Rajbahadur, Bram Adams, Ahmed E. Hassan

CoRR, June, 2025

Can We Recycle Our Old Models? An Empirical Evaluation of Model Selection Mechanisms for AIOps Solutions.

Yingzhe Lyu, Hao Li, Heng Li, Ahmed E. Hassan

CoRR, May, 2025

A Systematic Literature Review of Software Engineering Research on Jupyter Notebook.

Md. Saeed Siddik, Hao Li, Cor-Paul Bezemer

CoRR, April, 2025

SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms.

Lin Geng, Hao Li, Sidney Givigi, Bram Adams

CoRR, March, 2025

Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations.

Pouya Fathollahzadeh, Mariam El Mezouar, Hao Li, Ying Zou, Ahmed E. Hassan

CoRR, March, 2025

Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems.

Hao Li, Cor-Paul Bezemer

Empir. Softw. Eng., February, 2025

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

Dataset, February, 2025

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality.

Hao Li, Gopi Krishnan Rajbahadur, Cor-Paul Bezemer

ACM Trans. Softw. Eng. Methodol., January, 2025

2024

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

Dataset, December, 2024

Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries in Software Package Ecosystems.

Hao Li, Cor-Paul Bezemer

Dataset, July, 2024

Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models.

Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan

CoRR, 2024

Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.

Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang

IEEE Access, 2024

2023

An Empirical Study of Yanked Releases in the Rust Package Registry.

Hao Li, Filipe Roseiro Côgo, Cor-Paul Bezemer

IEEE Trans. Software Eng., 2023

2022

Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings.

Hao Li, Cor-Paul Bezemer

CoRR, 2022