conf.researchr.org / Nan Jiang
Registered user since Mon 4 Jan 2021
Name:Nan Jiang
Bio:
I am a Senior Applied Scientist at Microsoft Office AI, where I focus on advancing intelligent document understanding and generation to enhance workplace productivity. I earned my Ph.D. in Computer Science from Purdue University, advised by Prof. Lin Tan. My research broadly explores how AI can transform the way software is created, maintained, and used. I develop methods for code generation, automated program repair, and vulnerability detection to accelerate development, reduce errors, and improve software reliability. At Microsoft, I extend these ideas to document intelligence, building systems that help knowledge workers understand, draft, and edit documents more efficiently.
Country:United States
Affiliation:Purdue University
Personal website: https://jiang719.github.io
GitHub: https://github.com/jiang719
Research interests:AI for SE
Contributions
2026
ICSE
Mining Software Repositories
2025
2024
ESEC/FSE
2023
ICSE
- Author of Artifact of "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" within the Artifact Evaluation-track
- Author of Artifact of "Impact of Code Language Models on Automated Program Repair" within the Artifact Evaluation-track
- Author of KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair within the Technical Track-track
- Author of Impact of Code Language Models on Automated Program Repair within the Technical Track-track