I am a fifth-year Ph.D. student in Computer Science at Purdue University. I am working with Prof. Lin Tan on leveraging AI techniques on software engineering tasks. My research mainly focuses on building better AI-assistant to support the various stages of software development, including code generation, program repair, vulnerability fixing, etc.

I am on the academic job market!

Publications

• [NeurIPS-2024] Training LLMs to Better Self-Debug and Explain Code
  Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras Page Poster
• [CCS-2024] ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries
  🏆 Won ACM SIGSAC Distinguished Paper
  Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang Data
• [FSE-2024] A Deep Dive into Large Language Models for Automated Bug Localization and Repair
  Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Nguyen, Omer Tripp
• [ISSTA-2023] How Effective Are Neural Networks for Fixing Security Vulnerabilities
  Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah Data
• [ICSE-2023] Impact of Code Language Models on Automated Program Repair
  Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan Data
• [ICSE-2023] KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
  Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
• [ICSE-2021] CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
  Nan Jiang, Thibaud Lutellier, Lin Tan
• [NMI-2022 (Journal)] Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
  Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma

Preprints

• WAFFLE: Multi-Modal Model for Automated Front-End Development
  Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan Model Data
• Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
  Nan Jiang, Qi Li, Lin Tan, Tianyi Zhang Data
• SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
  Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
• Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
  Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang Model
• LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement
  Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan
• Leveraging Generative Models to Recover Variable Names from Stripped Binary
  Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang
• Impact of Large Language Models on Generating Software Specifications
  Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee Poster

Services

• PC Member, ICLR 2025
• PC Member, Workshop on Automated Program Repair (Co-located with ICSE 2025)
• PC Member, ASE 2024 Artifact Evaluation Track
• PC Member, SCAM 2024 Research Track
• PC Member, FSE 2023 Artifact Evaluation Track
• Reviewer, TSE 2024 (twice)
• Reviewer, TOSEM 2023, TOSEM 2024 (three times)
• Reviewer, Open Research Europe 2024

Teaching

• Teaching Assistant, CS408 Software Testing, Purdue University (Fall 2023, Fall 2022)
• Teaching Assistant, CS251 Data Structures and Algorithm, Purdue University (Spring 2021)
• Teaching Assistant, CS380 Python Programming, Purdue University (Fall 2020)
• Teaching Assistant, CS180 Problem Solving and Object-Oriented Programming, Purdue University (Spring 2020)

Education

• Ph.D in Computer Science, Purdue University, 2025 (expected)
• B.S. in Computer Science, Peking University, 2019