Yali Du

Yali Du (杜雅莉)

Ph.D. student · LAMDA Group
School of Artificial Intelligence
Nanjing University , Nanjing 210023, China

Supervisor: Professor Ming Li

Biography

I am a third year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group , which is led by professor Zhi-Hua Zhou .

I received my B.Eng. degree from School of Computer Science and Technology of Shandong University . In September 2022, I was admitted to study for a M.Sc. degree without entrance examination. From September 2024, I started my Ph.D. degree under the supervision of professor Ming Li .

Research Interests

My research interests include Machine Learning and Data Mining .

Publications

First-author Papers

1
TSE 2025

Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation.

Yali Du*, Hui Sun*, Ming Li.

IEEE Transactions on Software Engineering (TSE), 51(11): 3038-3055, 2025, Regular Paper.

This work has been selected for presentation at the ACM International Conference on the Foundations of Software Engineering (FSE), 2026 through the Journal First Track, which invites recently published high-quality journal articles to be presented at the conference.

2
ML 2025

Capturing the context-aware code change via dynamic control flow graph for commit message generation.

Yali Du, Ying Li, Yi-Fan Ma, Ming Li.

Machine Learning Vol. 114, 94, 2025.

3
ASE 2024

A Joint Learning Model with Variational Interaction for Multilingual Program Translation.

Yali Du, Hui Sun, Ming Li.

In: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024), Sacramento, CA, USA, 2024.

4
ICDM 2023

Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation.

Yali Du, Yi-Fan Ma, Zheng Xie, Ming Li.

In: Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, 2023.

5
ESEC/FSE 2023

Pre-training code representation with semantic flow graph for effective bug localization.

Yali Du, Zhongxing Yu.

In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023), San Francisco, CA, USA, 2023.

6
WSDM 2023

Multi-queue Momentum Contrast for Microvideo-Product Retrieval.

Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie.

In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM 2023), Singapore, 2023.

Co-authored Papers

1
ICML 2026

Random Selection Reveals Implicit Knowledge Consensus in Code Generation

Ren-Biao Liu, Xin-Ye Li, Hui Sun, Yali Du, Jiang-Tian Xue, Ming Li.

In: Proceedings of the Forty-third International Conference on Machine Learning (ICML 2026), Seoul, South Korea, 2026.

2
TOSEM

On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality

Xin Shen, Sanzhuo Xi, Yali Du, Ming Li.

ACM Transactions on Software Engineering Methodology (TOSEM), accepted for publication, 2026.

3
IJCAI 2023

Capturing the long-distance dependency in the control flow graph via structural-guided attention for bug localization.

Yi-Fan Ma, Yali Du, Ming Li.

In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, SAR, China, 2023.

Research Grants

2026.01–2027.12
Ongoing

Research on Specialized Code Representation Learning for Control Software

National Science Foundation of China for PhD Students

2024.05–2025.05
Completed

Research on Adversarial Attacks Against Large Language Models for Code

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Services

Conference Reviewer
ACML (2025, 2026); ICLR (2026)
Journal Reviewer
IEEE Transactions on Industrial Informatics; Journal of Software
Teaching Assistant
Data Mining for Complex Data Objects Fall 2024

Awards & Honors

Correspondence

Email

duyl@lamda.nju.edu.cn

Mail Address

Yali Du
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603,
163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)