Xiaoli Lian

According to our database, Xiaoli Lian authored at least 53 papers between 2014 and 2026.

Collaborative distances:

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

2026

A Systematic Literature Review of Distributed Multi-Agent Task Allocation: Core Dimensions, Their Interrelationships, and a Repository.

Zitian Yang, Li Zhang, Hang Yu, Jiaxing Li, Xiaoli Lian

IEEE Trans. Parallel Distributed Syst., July, 2026

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair.

Simiao Liu, Li Zhang, Fang Liu, Xiaoli Lian, Yang Liu, Yinghao Zhu

CoRR, May, 2026

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code.

Fang Liu, Yang Liu, Lin Shi, Zhen Yang, Li Zhang, Xiaoli Lian, Zhongqi Li, Yuchi Ma

IEEE Trans. Software Eng., March, 2026

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems.

Chandan Kumar Sah, Xiaoli Lian, Li Zhang, Tony Xu, Syed Shazaib Shah

CoRR, February, 2026

2025

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering.

Hang Yu, Yuzhou Lai, Li Zhang, Xiaoli Lian, Fang Liu, Yanrui Dong, Ting Zhang, Zhi Jin, David Lo

CoRR, December, 2025

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling.

Qianhui Zhao, Li Zhang, Fang Liu, Junhang Cheng, Chengru Wu, Junchen Ai, Qiaoyuanhe Meng, Lichen Zhang, Xiaoli Lian, Shubin Song, Yuanping Guo

CoRR, November, 2025

SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning.

Fang Liu, Simiao Liu, Yinghao Zhu, Xiaoli Lian, Li Zhang

CoRR, October, 2025

An Empirical Study on Failures in Automated Issue Solving.

Simiao Liu, Fang Liu, Liehao Li, Xin Tan, Yinghao Zhu, Xiaoli Lian, Li Zhang

CoRR, September, 2025

Reuse or Generate? Accelerating Code Editing via Edit-Oriented Speculative Decoding.

Peiding Wang, Li Zhang, Fang Liu, Yinghao Zhu, Wang Xu, Lin Shi, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu

CoRR, June, 2025

Vision to Specification: Automating the Transition from Conceptual Features to Functional Requirements.

Xiaoli Lian, Jiajun Wu, Xiaoyun Gao, Shuaisong Wang, Li Zhang

CoRR, May, 2025

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor.

Xin Tan, Xiao Long, Yinghao Zhu, Lin Shi, Xiaoli Lian, Li Zhang

CoRR, May, 2025

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.

Chandan Kumar Sah, Xiaoli Lian, Tony Xu, Li Zhang

CoRR, April, 2025

Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection.

Chandan Kumar Sah, Ankit Kumar Shaw, Xiaoli Lian, Arsalan Shahid Baig, Tuopu Wen, Kun Jiang, Mengmeng Yang, Diange Yang

CoRR, March, 2025

CodeSwift: Accelerating LLM Inference for Efficient Code Generation.

Qianhui Zhao, Li Zhang, Fang Liu, Xiaoli Lian, Qiaoyuanhe Meng, Ziqian Jiao, Zetong Zhou, Borui Zhang, Runlin Guo, Jia Li

CoRR, February, 2025

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor.

Xin Tan, Xiao Long, Yinghao Zhu, Lin Shi, Xiaoli Lian, Li Zhang

Proc. ACM Softw. Eng., 2025

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications.

Xiaoli Lian, Shuaisong Wang, Hanyu Zou, Fang Liu, Jiajun Wu, Li Zhang

Proc. ACM Softw. Eng., 2025

Deep learning-based software engineering: progress, challenges, and opportunities.

Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang

Sci. China Inf. Sci., 2025

FastCoder: Accelerating Repository-level Code Generation via Efficient Retrieval and Verification.

Qianhui Zhao, Li Zhang, Fang Liu, Xiaoli Lian, Qiaoyuanhe Meng, Ziqian Jiao, Zetong Zhou, Jia Li, Lin Shi

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

AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers.

Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Xiaoli Lian, Fang Liu, Yuming Ren, Jiaji Tian, Xiaoyin Che

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

EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding.

Peiding Wang, Li Zhang, Fang Liu, Yinghao Zhu, Wang Xu, Lin Shi, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu

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

SafeRoute: Enhancing Traffic Scene Understanding via a Unified Deep Learning and Multimodal LLM.

Ankit Kumar Shaw, Chandan Kumar Sah, Xiaoli Lian, Arsalan Shahid Baig, Tuopu Wen, Kun Jiang, Mengmeng Yang, Diange Yang, Li Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates.

Ankit Kumar Shaw, Kun Jiang, Tuopu Wen, Chandan Kumar Sah, Yining Shi, Mengmeng Yang, Diange Yang, Xiaoli Lian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Usefulness of open domain model for identifying missing software requirements concepts.

Ziyan Zhao, Li Zhang, Xiaoli Lian

Softw. Pract. Exp., March, 2024

CDTC: Automatically establishing the trace links between class diagrams in design phase and source code.

Fangwei Chen, Li Zhang, Xiaoli Lian

Softw. Pract. Exp., February, 2024

WiAi-ID: Wi-Fi-Based Domain Adaptation for Appearance-Independent Passive Person Identification.

Ying Liang, Wenjie Wu, Haobo Li, Feng Han, Zhengqi Liu, Pengfei Xu, Xiaoli Lian, Xiaojiang Chen

IEEE Internet Things J., January, 2024

DRIP: Segmenting individual requirements from software requirement documents.

Ziyan Zhao, Li Zhang, Xiaoli Lian, Heyang Lv

Softw. Pract. Exp., 2024

A Multi-Agent Framework for Extensible Structured Text Generation in PLCs.

Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Fang Liu, Xiaoli Lian, Yuming Ren, Jiaji Tian

CoRR, 2024

Enhancing LLM-Based Automated Program Repair with Design Rationales.

Jiuang Zhao, Donghao Yang, Li Zhang, Xiaoli Lian, Zitian Yang

CoRR, 2024

Uncovering Weaknesses in Neural Code Generation.

Xiaoli Lian, Shuaisong Wang, Jieping Ma, Fang Liu, Xin Tan, Li Zhang, Lin Shi, Cuiyun Gao

CoRR, 2024

A Novel Approach for Automated Design Information Mining from Issue Logs.

Jiuang Zhao, Zitian Yang, Li Zhang, Xiaoli Lian, Donghao Yang

CoRR, 2024

Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems.

Chandan Kumar Sah, Xiaoli Lian, Muhammad Mirajul Islam

CoRR, 2024

ReqCompletion: Domain-Enhanced Automatic Completion for Software Requirements.

Xiaoli Lian, Jieping Ma, Heyang Lv, Li Zhang

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Enhancing Automated Program Repair with Solution Design.

Jiuang Zhao, Donghao Yang, Li Zhang, Xiaoli Lian, Zitian Yang, Fang Liu

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

DRMiner: Extracting Latent Design Rationale from Jira Issue Logs.

Jiuang Zhao, Zitian Yang, Li Zhang, Xiaoli Lian, Donghao Yang, Xin Tan

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

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models.

Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang

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

Navigating the AI Frontier: A Critical Literature Review on Integrating Artificial Intelligence into Software Engineering Education.

Chandan Kumar Sah, Xiaoli Lian, Muhammad Mirajul Islam, Md. Kamrul Islam

Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2022

Automatically recognizing the semantic elements from UML class diagram images.

Fangwei Chen, Li Zhang, Xiaoli Lian, Nan Niu

J. Syst. Softw., 2022

Automated Generating Natural Language Requirements based on Domain Ontology.

Ziyan Zhao, Li Zhang, Xiaoyun Gao, Xiaoli Lian, Heyang Lv, Lin Shi

CoRR, 2022

A Preliminary Study on the Potential Usefulness of Open Domain Model for Missing Software Requirements Recommendation.

Ziyan Zhao, Li Zhang, Xiaoli Lian

CoRR, 2022

2021

A systematic gray literature review: The technologies and concerns of microservice application programming interfaces.

Fangwei Chen, Li Zhang, Xiaoli Lian

Softw. Pract. Exp., 2021

Automatically detecting the conflicts between software requirements based on finer semantic analysis.

Weize Guo, Li Zhang, Xiaoli Lian

CoRR, 2021

What can Open Domain Model Tell Us about the Missing Software Requirements: A Preliminary Study.

Ziyan Zhao, Li Zhang, Xiaoli Lian

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Putting software requirements under the microscope: automated extraction of their semantic elements.

Weize Guo, Li Zhang, Xiaoli Lian

Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

2020

A document-structure-based complex network model for extracting text keywords.

Yijun Liu, Li Zhang, Xiaoli Lian

Scientometrics, 2020

Assisting engineers extracting requirements on components from domain documents.

Xiaoli Lian, Wenchuang Liu, Li Zhang

Inf. Softw. Technol., 2020

An improved mapping method for automated consistency check between software architecture and source code.

Fangwei Chen, Li Zhang, Xiaoli Lian

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

2018

An approach for optimized feature selection in large-scale software product lines.

Xiaoli Lian, Li Zhang, Jing Jiang, William Goss

J. Syst. Softw., 2018

2017

Mining Associations Between Quality Concerns and Functional Requirements.

Xiaoli Lian, Jane Cleland-Huang, Li Zhang

Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

2016

Long-Term Active Integrator Prediction in the Evaluation of Code Contributions.

Jing Jiang, Fuli Feng, Xiaoli Lian, Li Zhang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Mining Requirements Knowledge from Collections of Domain Documents.

Xiaoli Lian, Mona Rahimi, Jane Cleland-Huang, Li Zhang, Remo Ferrai, Michael Smith

Proceedings of the 24th IEEE International Requirements Engineering Conference, 2016

2015

Optimized feature selection towards functional and non-functional requirements in Software Product Lines.

Xiaoli Lian, Li Zhang

Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

Leveraging Traceability to Reveal the Tapestry of Quality Concerns in Source Code.

Xiaoli Lian, Ahmed Fakhry, Li Zhang, Jane Cleland-Huang

Proceedings of the 8th IEEE/ACM International Symposium on Software and Systems Traceability, 2015

2014

An Evolutionary Methodology for Optimized Feature Selection in Software Product Lines.

Xiaoli Lian, Li Zhang

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014