Zongjie Li

According to our database, Zongjie Li authored at least 49 papers between 1988 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection.

Zhihao Li, Chaozheng Wang, Zongjie Li, Xinyong Peng, Qun Xia, Haochuan Lu, Ting Xiong, Shuzheng Gao, Cuiyun Gao, Shuai Wang, Yuetang Deng, Huafeng Ma

CoRR, August, 2025

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges.

Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, June, 2025

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs.

Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su

CoRR, June, 2025

SoK: Evaluating Jailbreak Guardrails for Large Language Models.

Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

CoRR, June, 2025

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models.

Zongjie Li, Shuai Wang

CoRR, June, 2025

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems.

Liwen Wang, Wenxuan Wang, Shuai Wang, Zongjie Li, Zhenlan Ji, Zongyi Lyu, Daoyuan Wu, Shing-Chi Cheung

CoRR, May, 2025

NAMET: Robust Massive Model Editing via Noise-Aware Memory Optimization.

Yanbo Dai, Zhenlan Ji, Zongjie Li, Shuai Wang

CoRR, May, 2025

STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models.

Xunguang Wang, Wenxuan Wang, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang

CoRR, March, 2025

GuidedBench: Equipping Jailbreak Evaluation with Guidelines.

Ruixuan Huang, Xunguang Wang, Zongjie Li, Daoyuan Wu, Shuai Wang

CoRR, February, 2025

Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators.

Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia

CoRR, January, 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, Shi Wu

Proc. ACM Softw. Eng., 2025

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning.

Chaozheng Wang, Jia Feng, Shuzheng Gao, Cuiyun Gao, Zongjie Li, Ting Peng, Hailiang Huang, Yuetang Deng, Michael R. Lyu

Proc. ACM Softw. Eng., 2025

Causality-Aided Evaluation and Explanation of Large Language Model-Based Code Generation.

Zhenlan Ji, Pingchuan Ma, Zongjie Li, Zhaoyu Wang, Shuai Wang

Proc. ACM Softw. Eng., 2025

API-Guided Dataset Synthesis to Finetune Large Code Models.

Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su

Proc. ACM Program. Lang., 2025

2024

Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools.

Zongjie Li, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, Shuai Wang

IEEE Trans. Dependable Secur. Comput., 2024

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

CoRR, 2024

NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair.

Ruoke Wang, Zongjie Li, Chaozheng Wang, Yang Xiao, Cuiyun Gao

CoRR, 2024

Exploring Multi-Lingual Bias of Large Code Models in Code Generation.

Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu

CoRR, 2024

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs.

Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2024

How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation.

Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang

CoRR, 2024

An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios.

Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu

CoRR, 2024

Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios.

Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing.

Wai Kin Wong, Huaijin Wang, Zongjie Li, Shuai Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study.

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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Split and Merge: Aligning Position Biases in LLM-based Evaluators.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.

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

CoRR, 2023

InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models.

Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2023

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach.

Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2023

Refining Decompiled C Code with Large Language Models.

Wai Kin Wong, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu

CoRR, 2023

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

CoRR, 2023

"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process.

Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang

CoRR, 2023

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

CoRR, 2023

A Unified Framework for Mini-game Testing: Experience on WeChat.

Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

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 R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Exploring Missed Optimizations in WebAssembly Optimizers.

Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

CCTEST: Testing and Repairing Code Completion Systems.

Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks.

Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

3D Bipolar Spectral Inversion Based on Structural Geosteering Shear Backfill Mapping.

Xinyu Wang, Zongjie Li, Hanming Gu

IEEE Trans. Geosci. Remote. Sens., 2022

Enriching query semantics for code search with reinforcement learning.

Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu

Neural Networks, 2022

CCTEST: Testing and Repairing Code Completion Systems.

Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao

CoRR, 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 R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 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, Shi Wu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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

Neural Networks, 2021

Enriching Query Semantics for Code Search with Reinforcement Learning.

Chaozheng Wang, Zhenghao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu

CoRR, 2021

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu

CoRR, 2021

2018

A new constrained maximum margin approach to discriminative learning of Bayesian classifiers.

Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng

Frontiers Inf. Technol. Electron. Eng., 2018

2016

Shot Boundary Detection based on Multilevel Difference of Colour Histograms.

Zongjie Li, Xiabi Liu, Shuwen Zhang

Proceedings of the First International Conference on Multimedia and Image Processing, 2016

1996

An adaptive image segmentation method with visual nonlinearity characteristics.

Tianxu Zhang, Jiaxiong Peng, Zongjie Li

IEEE Trans. Syst. Man Cybern. Part B, 1996

1988

A renovated algorithm for extracting moving target from background in real time video tracking system.

Sipei Chen, Zongjie Li, Guilin Zhang

Proceedings of the 9th International Conference on Pattern Recognition, 1988