Jian Zhang

According to our database, Jian Zhang authored at least 63 papers between 2016 and 2026.

Collaborative distances:

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

2026

DeepFWI: Identifying Bug-Sensitive Warnings With Multi-Modal Code-Warning Semantics.

Han Liu, Jian Zhang, Cen Zhang, Xiaohan Zhang, Kaixuan Li, Sen Chen, Shang-Wei Lin, Yixiang Chen, Xinghua Li, Yang Liu

IEEE Trans. Software Eng., May, 2026

Evaluating Large Language Models for Line-Level Vulnerability Localization.

Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu

IEEE Trans. Software Eng., March, 2026

GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams.

Yushun Zhang, Weiping Fu, Zesheng Yang, Bo Zhao, Lingling Zhang, Jian Zhang, Yumeng Fu, Jiaxing Huang, Jun Liu

CoRR, March, 2026

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code.

Jiangping Huang, Wenguang Ye, Weisong Sun, Jian Zhang, Mingyue Zhang, Yang Liu

CoRR, February, 2026

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions.

Fangzhi Xu, Hang Yan, Qiushi Sun, Jinyang Wu, Zixian Huang, Muye Huang, Jingyang Gong, Zichen Ding, Kanzhi Cheng, Yian Wang, Xinyu Che, Zeyi Sun, Jian Zhang, Zhangyue Yin, Haoran Luo, Xuanjing Huang, Ben Kao, Jun Liu, Qika Lin

CoRR, February, 2026

TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents.

Hang Yan, Xinyu Che, Fangzhi Xu, Qiushi Sun, Zichen Ding, Kanzhi Cheng, Jian Zhang, Tao Qin, Jun Liu, Qika Lin

CoRR, February, 2026

VulnResolver: A Hybrid Agent Framework for LLM-Based Automated Vulnerability Issue Resolution.

Mingming Zhang, Xu Wang, Jian Zhang, Xiangxin Meng, Jiayi Zhang, Chunming Hu

CoRR, January, 2026

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement.

Jian Zhang, Zhangqi Wang, Zhiyuan Wang, Weiping Fu, Yu He, Haiping Zhu, Qika Lin, Jun Liu

CoRR, January, 2026

ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics.

Weiping Fu, Bifan Wei, Jingyi Hao, Yushun Zhang, Jian Zhang, Jiaxin Wang, Bo Li, Yu He, Lingling Zhang, Jun Liu

CoRR, January, 2026

A³-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation.

Jian Zhang, Yu He, Zhiyuan Wang, Zhangqi Wang, Kai He, Fangzhi Xu, Qika Lin, Jun Liu

CoRR, January, 2026

MAXS: Meta-Adaptive Exploration with LLM Agents.

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu

CoRR, January, 2026

GKG-LLM: A unified framework for generalized knowledge graph construction.

Jian Zhang, Shihao Qi, Yuxuan Dong, Li Yuan, Tiesunlong Shen, Weiping Fu, Bifan Wei, Haiping Zhu, Jun Liu

Inf. Fusion, 2026

User-Space Dependency-Aware Rehosting for Linux-Based Firmware Binaries.

Chuan Qin, Cen Zhang, Yaowen Zheng, Puzhuo Liu, Jian Zhang, Yeting Li, Weidong Zhang, Yang Liu, Limin Sun

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Anh Tuan Luu, Haiteng Zhao, Qika Lin, Jun Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning.

Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang, Yuling Xu, Mengling Feng

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization.

Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning.

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models.

Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

An Empirical Study of Exploring the Capabilities of Large Language Models in Code Learning.

Shangqing Liu, Daya Guo, Jian Zhang, Wei Ma, Yanzhou Li, Yang Liu

IEEE Trans. Software Eng., November, 2025

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.

Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng

ACM Trans. Softw. Eng. Methodol., September, 2025

Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs.

Shihao Qi, Jie Ma, Ziang Yin, Lingling Zhang, Jian Zhang, Jun Liu, Feng Tian, Tongliang Liu

CoRR, September, 2025

A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.

Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng

CoRR, September, 2025

Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search.

Jiayi Zhang, Kai Huang, Jian Zhang, Yang Liu, Chunyang Chen

CoRR, June, 2025

VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software.

Lyuye Zhang, Jian Zhang, Kaixuan Li, Chong Wang, Chengwei Liu, Jiahui Wu, Sen Chen, Yaowen Zheng, Yang Liu

CoRR, June, 2025

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing.

Kai Huang, Jian Zhang, Xiaofei Xie, Chunyang Chen

CoRR, June, 2025

Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair.

Kai Huang, Jian Zhang, Xinlei Bao, Xu Wang, Yang Liu

IEEE Trans. Software Eng., April, 2025

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving.

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin, Rui Mao, Erik Cambria, Jun Liu

CoRR, March, 2025

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization.

Jian Zhang, Zhangqi Wang, Haiping Zhu, Jun Liu, Qika Lin, Erik Cambria

CoRR, March, 2025

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction.

Jian Zhang, Bifan Wei, Shihao Qi, Haiping Zhu, Jun Liu, Qika Lin

CoRR, March, 2025

Element-Based Automated DNN Repair with Fine-Tuned Masked Language Model.

Xu Wang, Mingming Zhang, Xiangxin Meng, Jian Zhang, Yang Liu, Chunming Hu

Proc. ACM Softw. Eng., 2025

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair.

Kai Huang, Jian Zhang, Xiaofei Xie, Chunyang Chen

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion.

Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.

Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Template-Guided Program Repair in the Era of Large Language Models.

Kai Huang, Jian Zhang, Xiangxin Meng, Yang Liu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.

Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

An Analytical Perspective on Software Engineering for Large Language Models.

Tianlin Li, Qiang Hu, Chong Wang, Jian Zhang, Wei Ma, Aishan Liu, Jingyi Wang, Yang Liu

Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Yang Liu, Geguang Pu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text.

Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.

Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu

Proc. ACM Manag. Data, 2024

How and Why LLMs Use Deprecated APIs in Code Completion? An Empirical Study.

Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng

CoRR, 2024

Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu

CoRR, 2024

An Empirical Study of Automated Vulnerability Localization with Large Language Models.

Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu

CoRR, 2024

FineWAVE: Fine-Grained Warning Verification of Bugs for Automated Static Analysis Tools.

Han Liu, Jian Zhang, Cen Zhang, Xiaohan Zhang, Kaixuan Li, Sen Chen, Shang-Wei Lin, Yixiang Chen, Xinhua Li, Yang Liu

CoRR, 2024

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.

Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software.

Kaixuan Li, Jian Zhang, Sen Chen, Han Liu, Yang Liu, Yixiang Chen

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

An Empirical Study on Noisy Label Learning for Program Understanding.

Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu

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

RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness.

Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu

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

BadEdit: Backdooring Large Language Models by Model Editing.

Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction.

Jian Zhang, Changlin Yang, Haiping Zhu, Qika Lin, Fangzhi Xu, Jun Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A Prompt Learning Framework for Source Code Summarization.

Weisong Sun, Chunrong Fang, Yudu You, Yuchen Chen, Yi Liu, Chong Wang, Jian Zhang, Quanjun Zhang, Hanwei Qian, Wei Zhao, Yang Liu, Zhenyu Chen

CoRR, 2023

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding.

Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu

CoRR, 2023

Learning to Locate and Describe Vulnerabilities.

Jian Zhang, Shangqing Liu, Xu Wang, Tianlin Li, Yang Liu

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

An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair.

Kai Huang, Xiangxin Meng, Jian Zhang, Yang Liu, Wenjie Wang, Shuhao Li, Yuqing Zhang

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

Detecting Condition-Related Bugs with Control Flow Graph Neural Network.

Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu, Yang Liu

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

2020

Learning to Handle Exceptions.

Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Yanjun Pu, Xudong Liu

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer.

Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Retrieval-based neural source code summarization.

Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Learning Semantic Coherence for Machine Generated Spam Text Detection.

Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu

Proceedings of the International Joint Conference on Neural Networks, 2019

A novel neural source code representation based on abstract syntax tree.

Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, Xudong Liu

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Semantically enhanced tag recommendation for software CQAs via deep learning.

Jian Zhang, Hailong Sun, Yanfei Tian, Xudong Liu

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

TruthDiscover: Resolving Object Conflicts on Massive Linked Data.

Wenqiang Liu, Jun Liu, Haimeng Duan, Jian Zhang, Wei Hu, Bifan Wei

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection.

Yan Tong, Jian Zhang, Wei Chen, Mingdi Xu, Tao Qin

Proceedings of the Communications and Networking, 2017

2016

TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data.

Wenqiang Liu, Jun Liu, Jian Zhang, Haimeng Duan, Bifan Wei

CoRR, 2016