2026

• [SIGMOD 2026]: Guardrail: Automated Integrity Constraint Synthesis From Noisy Data
  • Pingchuan Ma, Zhaoyu Wang, Zhenlan Ji, Zongjie Li, Ao Sun, Shuai Wang
    CCF-A

2025:

• [CCS 2025]: Differentiation-Based Extraction of Proprietary Data from Fine-tuned LLMs

  • Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su
    CCF-A

• [OOPSLA 2025]: API-guided Dataset Synthesis to Finetune Large Code Models

  • Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su
    CCF-A

• [CCS 2025]: Measuring and Augmenting Large Language Models for Solving Offensive Security Challenges

  • Zimo JI, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Shuai Wang
    CCF-A

• [USENIX Security 2025]: Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators

  • Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia
    CCF-A

• [USENIX Security 2025]: SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

  • Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel
    CCF-A

• [ TOSEM ]: Reeq: Testing and Mitigating Ethically Inconsistent Suggestions of Large Language Models with Reflective Equilibrium

  • Pingchuan Ma, Zhaoyu Wang, Zongjie Li, Zhenlan Ji, Ao Sun, Juergen Rahmel, Shuai Wang
    CCF-A

• [ ISSTA 2025 ]: DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code

  • Wai Kin Wong, Daoyuan Wu, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu
    CCF-A

• [ ISSTA 2025 ]: Causality-Aided Evaluation and Explanation of Large Language Model-based Code Generation

  • Zhenlan Ji, Pingchuan Ma, Zongjie Li, Zhaoyu Wang, and Shuai Wang
    CCF-A

2024:

• [ICSE 2024]: On the Feasibility of Specialized Ability Extracting for Large Language Code Models

  • Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu CCF-A

• [ICSE 2024]: BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing

  • WONG Wai Kin, Huaijin Wang, Zongjie Li, Shuai Wang. CCF-A

• [EMNLP 2024] Split and Merge: Aligning Position Biases in Large Language Model based Evaluators

  • Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

2023:

• [CCS 2023]: Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks

  • Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao. CCF-A

• [TDSC 2023]: Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools

  • Zongjie Li, Zhibo Liu∗, Wai Kin Wong∗, Pingchuan Ma, and Shuai Wang. CCF-A

• [ICSE 2023]: CCTEST: Testing and Repairing Code Completion Systems

  • Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao. CCF-A

• [ASE 2023 Industrial Challenge Track]: REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes

  • Chaozheng Wang^, Zongjie Li^, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael Lyu. CCF-A Distinguished Paper

• [ISSTA 2023]: Exploring Missed Optimizations in WebAssembly Optimizers

  • Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng. CCF-A

• [FSE 2023 Industrial Track]: A Unified Framework for Mini-Game Testing: Experience on WeChat

  • Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng. CCF-A

2022:

• [ICSE 2022]: Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings

  • Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu. CCF-A

• [ICSE 2022]: Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python

  • Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael Lyu. CCF-A Nominated for Distinguished Paper

• [Neural Networks 2022]: Enriching query semantics for code search with reinforcement learning

  • Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu. CCF-B

2021

• [Neural Networks 2021]: CRaDLe: Deep code retrieval based on semantic Dependency Learning
  • Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu. CCF-B