Guanqun Yang 杨冠群

Ph.D. Candidate in Computer Science @ Stevens Institute of Technology

All papers: [arXiv] - [ORCID]

Peer-Reviewed Publications

  • SkillSeek: Revisiting Agent Skill Retrieval at Marketplace Scale
    Guanqun Yang, Wenlong Zhang, Tian Shi, and Ping Wang, AACL-IJCNLP ’26
    [arXiv]

  • PatchHolmes: Agentic Patch Retrieval via Listwise Selection
    Guanqun Yang, Yingming Zhou, Jiangrui Zheng, Shudong Hao, and Xueqing Liu, AACL-IJCNLP ’26
    [arXiv]

  • DualSpectralCF: Training-Free Sign-Aware Spectral Collaborative Filtering
    Guanqun Yang, Tong Qi, Xiaoxue Han, CIKM ’26
    [arXiv]

  • Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation
    Guanqun Yang, Wenlong Zhang, CIKM ’26
    [arXiv]

  • EVATest: Domain-Oriented Android GUI Testing based on Reward-Guided Retrieval-Augmented Generation
    Bhavana Kondeti, Guanqun Yang, Yui Takashima, Xueqing Liu, and Xiaoyin Wang, ICSE ’26

  • ART: Adaptive Reasoning Trees for Explainable Claim Verification
    Sahil Wadhwa, Himanshu Kumar, Guanqun Yang, Abbaas Alif Mohamed Nishar, Pranab Mohanty, Swapnil Shinde, and Yue Wu, EACL ’26 Findings
    [arXiv]

  • Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs
    Guanqun Yang, AAAI ’25 Doctoral Consortium
    [AAAI]

  • Natural Language Querying on Domain-Specific NoSQL Database with Large Language Models
    Wenlong Zhang, Chengyang He, Guanqun Yang, Dipankar Bandyopadhyay, Tian Shi, and Ping Wang, BIBM ’24
    [IEEE Xplore] - [Full Text]

  • HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
    Jiangrui Zheng, Xueqing Liu, Mirazul Haque, Xing Qian, Guanqun Yang, and Wei Yang, NAACL ’24 Findings (WOAH 2024 Outstanding Paper)
    [ACL Anthology]

  • TestAug: A Framework for Augmenting Capability-based NLP Tests
    Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, and Xueqing Liu, COLING ’22
    [Full Text] - [Video (YouTube)] - [Video (Bilibili)]

  • Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models
    Guanqun Yang, Shay Dineen, Zhipeng Lin, Xueqing Liu, MLHat KDD ’21
    [Full Text] - [Video (YouTube)]

Preprints

  • WatchPoint: Executable User Feedback for Real-World Agentic Web Development
    Guanqun Yang, Wei Yang, and Xueqing Liu, arXiv, 2026
    [arXiv]

  • SPFinder: Improving the Context Length and Scalability for Tracing Known Vulnerability Patches
    Jiangrui Zheng, Xueqing Liu, Guanqun Yang, Siyan Wen, Qiushi Liu, and Xiaoyin Wang, arXiv, 2025
    [arXiv]

Course Projects and Reports

  • Deep Learning under Fairness Constraint
    Guanqun Yang, Lingxiao Wang, CS 269 Course Project, Winter 2019 [Full Text]

  • Fairness: What is the Right Thing to Do? A Comparative Study of Fairness-Preserving Algorithms
    Guanqun Yang, CS 260 Course Project, Fall 2018 [Presentation Slide]-[Full Text]

  • Design and Implementation of Speaker Similarity Estimation System based on UCLA Variability Database
    Yucong Wang, Jingjing Zhang, Guanqun Yang, Zhengtao Zhou, ECE 214A Course Project, Winter 2018 [Full Text]

  • Space Debris Terminator, a Comprehensive Approach
    Guanqun Yang, Binzhe Li, Jiwei Liu, Mathematical Contest in Modeling, 2016 [Full Text]

Thesis

  • Scalable Software Testing and Analysis with NLP Methods
    Doctoral Dissertation, Stevens Institute of Technology, 2026 [Full Text] - [ProQuest]

  • Fairness-Preserving Empirical Risk Minimization
    Master Thesis, UCLA, 2019 [Full Text]

  • Pose Estimation of Mobile Robots Based on the Integration of IMU and Vision (in Chinese)
    Bachelor Thesis, Northeastern University (China), 2017 [Full Text in Chinese]-[Abstract in English]