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Xunzhu Tang



Daniel (Xunzhu) is a doctoral researcher of Trux, Interdisciplinary Security and Trust Centre (SnT), University of Luxembourg (UL). His research interests mainly relate to Code&Patch Explanation, Automatic Program Repair, Collaborative Agents for SE, Conversational IDE, Security in Large Language Model (LLM) (i.e, LLM poisoning, LLM watermarks). His researches has been published in largely diverse top-tier conferences/journals in both NLP, SE, and ML communities, including ICSE, ASE, EMSE, ICLR, ACL, NAACL, etc. Furthermore, Daniel also work as PC/Reviewer/AC in SOSP, ACL, EMNLP, MSR, etc.

Research interests:

  • LLM-Based Agents for software engineering: CodeAgent, CodeChat
  • Patch Representation and Explanation
  • Software Security
  • Automatic Programm Repair
  • Large Code(Language) Model

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Selected Publications (* Corresponding Author.)

EMNLP'24

CodeAgent: Autonomous Communicative Agents for Code Review [pdf] Xunzhu Tang *, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian*, Jacques Klein, Tegawendé F. Bissyande. Accepted by EMNLP'24 main paperi

ASE'24

DataRecipe — How to Cook the Data for CodeLLM? [pdf] [bib] Kisub Kim, Jounghoon Kim, Byeongjo Park, Dongsun Kim, Chun Yong Chong, Yuan Wang, Tiezhu Sun, Xunzhu Tang, Jacques Klein, Tegawendé F Bissyandé. Accepted by ASE, 2024.

ASE'24-JF

App Review Driven Collaborative Bug Finding [pdf] [bib] Xunzhu Tang, Haoye Tian *, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F Bissyandé. Accepted by ASE'24 Journal First, 2024.

ICSE'25 main paper (1st round)

HedgeCode: A Multi-Task Hedging Contrastive Learning Framework for Code Search [pdf] Gong Chen, Xiaoyuan Xie, Xunzhu Tang , Qi Xin Wenjie Liu. Accepted by ICSE'2025, 2024.

ACL'24 (Short)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance [pdf] Yewei Song, Cedric Lothritz, Xunzhu Tang , Tegawende F. Bissyande, Jacques Klein. Accepted by ARR for ACL'24, 2024.

ICSE'24 (POSTER)

Learning to Represent Patches [pdf] Xunzhu Tang , Haoye Tian*, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kabore, Andrew Habib, Jacques Klein, Tegawende F. Bissyande. Accepted by ICSE'24 (POSTER), 2024.

ICSE'24 (SEIP)

Enhancing Text-to-SQL Translation for Financial System Design [pdf] Yewei Song, Saad Ezzini, Xunzhu Tang, Cedric Lothritz, Jacques Klein, Tegawende Bissyande, Andrey Boytsov, Ulrick Ble, Anne Goujon Accepted by ICSE SEIP, 2024.

NAACL'24

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization [pdf] Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin Accepted by ARR2023 (NAACL), 2024.

ICLR'24 Tiny

Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection [pdf] Xunzhu Tang *, Zhenghan Chen, Saad Ezzini, Haoye Tian, Yewei Song, Jacques Klein, Tegawendé F. Bissyande. Accepted by ICLR tiny, 2024.

EMSE

App Review Driven Collaborative Bug Finding [pdf] [bib] Xunzhu Tang, Haoye Tian *, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F Bissyandé. Accepted by EMSE, 2024.

TOSEM

Learning to Represent Patches [pdf] Xunzhu Tang , Haoye Tian*, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kabore, Andrew Habib, Jacques Klein, Tegawende F. Bissyande. Major Revision in TOSEM, 2024.

ASE‘23

Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models [pdf] [bib] Liran Wang, Xunzhu Tang, Yichen He, Changyu Ren, Shuhua Shi, Chaoran Yan, Zhoujun Li. Accepted for publication in ASE, 2023.

AAAI'23-W3PHIAI

Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling [pdf] [bib] Xinshi Wang, Xunzhu Tang. Accepted for publication in W3PHIAI23 (AAAI2023 workshop), 2023.

AAAI'23

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning [pdf] [bib] Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian*, Andrew Habib, Jacques Klein, Tegawendé F Bissyandé. Accepted for publication in Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. [Acceptance rate: 19.6% (1,721/8,777)]

ASE'22

Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness [pdf] [bib] Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu*, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé. Accepted in Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022. [Acceptance rate: 22.0% (116/527)]

DASFAA'22

HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding [pdf] [bib] Shi Wang, Daniel Tang*, Luchen Zhang, Huilin Li, Ding Han. Accepted for publication in Database Systems for Advanced Applications, 2022. [Acceptance rate: 18% (72/400)]

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