TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data. - Wenqiang Liu; Jun Liu 002; Jian Zhang 087; Haimeng Duan; Bifan Wei (CoRR, 2016)

TruthDiscover: Resolving Object Conflicts on Massive Linked Data. - Wenqiang Liu; Jun Liu 002; Haimeng Duan; Jian Zhang 087; Wei Hu 007; Bifan Wei (WWW (Companion Volume), 2017)

Semantically enhanced tag recommendation for software CQAs via deep learning. - Jian Zhang 087; Hailong Sun 001; Yanfei Tian; Xudong Liu 001 (ICSE (Companion Volume), 2018)

A novel neural source code representation based on abstract syntax tree. - Jian Zhang 087; Xu Wang 007; Hongyu Zhang 002; Hailong Sun 001; Kaixuan Wang; Xudong Liu 001 (ICSE, 2019)

Learning Semantic Coherence for Machine Generated Spam Text Detection. - Mengjiao Bao; Jianxin Li 002; Jian Zhang 087; Hao Peng 001; Xudong Liu 001 (IJCNN, 2019)

Retrieval-based neural source code summarization. - Jian Zhang 087; Xu Wang 007; Hongyu Zhang 002; Hailong Sun 001; Xudong Liu 001 (ICSE, 2020)

Learning to Handle Exceptions. - Jian Zhang 087; Xu Wang 007; Hongyu Zhang 002; Hailong Sun 001; Yanjun Pu; Xudong Liu 001 (ASE, 2020)

Detecting Condition-Related Bugs with Control Flow Graph Neural Network. - Jian Zhang 087; Xu Wang 007; Hongyu Zhang 002; Hailong Sun 001; Xudong Liu 001; Chunming Hu; Yang Liu 003 (ISSTA, 2023)

An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair. - Kai Huang; Xiangxin Meng; Jian Zhang 087; Yang Liu 003; Wenjie Wang; Shuhao Li; Yuqing Zhang 001 (ASE, 2023)

Learning to Locate and Describe Vulnerabilities. - Jian Zhang 087; Shangqing Liu; Xu Wang 007; Tianlin Li; Yang Liu 003 (ASE, 2023)

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (CoRR, 2023)

A Prompt Learning Framework for Source Code Summarization. - Weisong Sun; Chunrong Fang; Yudu You; Yuchen Chen; Yi Liu 069; Chong Wang 013; Jian Zhang 087; Quanjun Zhang; Hanwei Qian; Wei Zhao; Yang Liu 003; Zhenyu Chen 001 (CoRR, 2023)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. - Jian Zhang 087; Changlin Yang; Haiping Zhu; Qika Lin; Fangzhi Xu; Jun Liu 002 (LREC/COLING, 2024)

BadEdit: Backdooring Large Language Models by Model Editing. - Yanzhou Li; Tianlin Li; Kangjie Chen; Jian Zhang 087; Shangqing Liu; Wenhan Wang; Tianwei Zhang 004; Yang Liu 003 (ICLR, 2024)

RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. - Tianlin Li; Yue Cao; Jian Zhang 087; Shiqian Zhao; Yihao Huang 001; Aishan Liu; Qing Guo 005; Yang Liu 003 (ICSE, 2024)

An Empirical Study on Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (ICSE, 2024)

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software. - Kaixuan Li 002; Jian Zhang 087; Sen Chen 001; Han Liu 012; Yang Liu 003; Yixiang Chen 001 (ISSTA, 2024)

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Wenhan Wang; Tianlin Li; Yang Liu 003 (ASE, 2024)

FineWAVE: Fine-Grained Warning Verification of Bugs for Automated Static Analysis Tools. - Han Liu 012; Jian Zhang 087; Cen Zhang; Xiaohan Zhang; Kaixuan Li 002; Sen Chen 001; Shang-Wei Lin 001; Yixiang Chen 001; Xinhua Li; Yang Liu 003 (CoRR, 2024)

An Empirical Study of Automated Vulnerability Localization with Large Language Models. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Weisong Sun; Cen Zhang; Wei Ma; Yang Liu 003 (CoRR, 2024)

Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs. - Yihao Huang 001; Chong Wang 013; Xiaojun Jia; Qing Guo 005; Felix Juefei-Xu; Jian Zhang 087; Geguang Pu; Yang Liu 003 (CoRR, 2024)

How and Why LLMs Use Deprecated APIs in Code Completion? An Empirical Study. - Chong Wang 013; Kaifeng Huang 001; Jian Zhang 087; Yebo Feng; Lyuye Zhang; Yang Liu 003; Xin Peng 001 (CoRR, 2024)

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. - Anran Li 001; Yuanyuan Chen; Jian Zhang 087; Mingfei Cheng; Yihao Huang 001; Yueming Wu 001; Anh Tuan Luu; Han Yu 001 (Proc. ACM Manag. Data, 2024)

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. - Fangzhi Xu; Jun Liu 002; Qika Lin; Tianzhe Zhao; Jian Zhang 087; Lingling Zhang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization. - Yihao Huang 001; Chong Wang 013; Xiaojun Jia; Qing Guo 005; Felix Juefei-Xu; Jian Zhang 087; Yang Liu 003; Geguang Pu (ACL (1), 2025)

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference. - Chong Wang 013; Jian Zhang 087; Yiling Lou; Mingwei Liu 002; Weisong Sun; Yang Liu 003; Xin Peng 001 (ICSE, 2025)

Template-Guided Program Repair in the Era of Large Language Models. - Kai Huang; Jian Zhang 087; Xiangxin Meng; Yang Liu 003 (ICSE, 2025)

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications. - Wei Ma; Daoyuan Wu; Yuqiang Sun 001; Tianwen Wang; Shangqing Liu; Jian Zhang 087; Yue Xue; Yang Liu 003 (ICSE, 2025)

LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion. - Chong Wang 013; Kaifeng Huang 001; Jian Zhang 087; Yebo Feng; Lyuye Zhang; Yang Liu 003; Xin Peng 001 (ICSE, 2025)

Element-Based Automated DNN Repair with Fine-Tuned Masked Language Model. - Xu Wang 007; Mingming Zhang; Xiangxin Meng; Jian Zhang 087; Yang Liu 003; Chunming Hu (Proc. ACM Softw. Eng., 2025)

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction. - Jian Zhang 087; Bifan Wei; Shihao Qi; Haiping Zhu; Jun Liu 002; Qika Lin (CoRR, 2025)

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization. - Jian Zhang 087; Zhangqi Wang; Haiping Zhu; Jun Liu 002; Qika Lin; Erik Cambria (CoRR, 2025)

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. - Jian Zhang 087; Zhiyuan Wang; Zhangqi Wang; Xinyu Zhang 021; Fangzhi Xu; Qika Lin; Rui Mao 010; Erik Cambria; Jun Liu 002 (CoRR, 2025)

Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair. - Kai Huang; Jian Zhang 087; Xinlei Bao; Xu Wang 007; Yang Liu 003 (IEEE Trans. Software Eng., 2025)

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing. - Kai Huang; Jian Zhang 087; Xiaofei Xie; Chunyang Chen 001 (CoRR, 2025)

VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software. - Lyuye Zhang; Jian Zhang 087; Kaixuan Li 002; Chong Wang 013; Chengwei Liu; Jiahui Wu; Sen Chen 001; Yaowen Zheng; Yang Liu 003 (CoRR, 2025)

Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search. - Jiayi Zhang; Kai Huang; Jian Zhang 087; Yang Liu 003; Chunyang Chen 001 (CoRR, 2025)

MUR: Momentum Uncertainty guided Reasoning for Large Language Models. - Hang Yan 010; Fangzhi Xu; Rongman Xu; Yifei Li 006; Jian Zhang 087; Haoran Luo 001; Xiaobao Wu; Luu Anh Tuan; Haiteng Zhao; Qika Lin; Jun Liu 002 (CoRR, 2025)

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation. - Chong Wang 013; Jian Zhang 087; Yebo Feng; Tianlin Li; Weisong Sun; Yang Liu 003; Xin Peng 001 (ACM Trans. Softw. Eng. Methodol., 2025)