Nan Jiang's Homepage

About Me

I am a fourth-year Ph.D. student in Computer Science at Purdue University. I am working with Prof. Lin Tan on leveraging natural language processing techniques on software engineering tasks. My previous research mainly focused on automated program repair. Currently, I am interested in applying pre-trained large language models on downstream tasks, including code generation, test case generation, bug fixing, and so on.

Education

Ph.D. Student in Computer Science at Purdue University

Jan, 2020 - Present

Supervised by Prof. Lin Tan

Bachelor of Science in Computer Science at Peking University

Sept, 2015 - June, 2019

Publications

How Effective Are Neural Networks for Fixing Security Vulnerabilities [ISSTA-2023]

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

paper: https://dl.acm.org/doi/abs/10.1145/3597926.3598135

Impact of Code Language Models on Automated Program Repair [ICSE-2023]

Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan

paper: https://dl.acm.org/doi/abs/10.1109/ICSE48619.2023.00125

code: https://github.com/lin-tan/clm

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair [ICSE-2023]

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

paper: https://dl.acm.org/doi/abs/10.1109/ICSE48619.2023.00111

code: https://github.com/lin-tan/knod

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair [ICSE-2021]

Nan Jiang, Thibaud Lutellier, Lin Tan

paper: https://ieeexplore.ieee.org/document/9401997

slide: https://www.youtube.com/watch?v=beRfdHdkCKI&t=1s

code: https://github.com/lin-tan/CURE

Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks [NMI-2022 (Journal)]

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma

paper: https://www.nature.com/articles/s42256-022-00462-y

code: https://github.com/jiang719/road-network-predictability

Preprints

Nova⁺: Generative Language Models for Binaries

Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang

paper: https://arxiv.org/abs/2311.13721

Impact of Large Language Models on Generating Software Specifications

Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee

paper: https://arxiv.org/abs/2306.03324

LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis

Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang

paper: https://arxiv.org/abs/2306.02546

Services

PC Member, FSE-2023 Artifact Track

Reviewer, TOSEM-2023

Teaching Experience

Teaching Assistant, CS408 Software Testing, Purdue University (Fall 2023)

Teaching Assistant, CS408 Software Testing, Purdue University (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)