📝 Publications

  • [ICSE’26] TACO: Trust Assessment of Large Language Models in Coding Assistance Tasks
    Shihao Weng, Yang Feng*, Jincheng Li, Yining Yin, Zhenlun Zhang, Lyuxi Liu, Jia Liu.

  • [ICSE’26] VADA: A Multicultural Benchmark for Value-Aware Data Generation and Alignment Evaluation in LLMs
    Zhenlun Zhang, Yang Feng*, Shihao Weng, Yining Yin, Jincheng Li, Jia Liu.

  • [ICSE’26] AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
    Shihao Weng, Yang Feng*, Jincheng Li, Yining Yin, Xiaofei Xie, Jia Liu.
    paper  code

  • [FCS’25] Data preparation and quality for code-centric generative software engineering tasks: a systematic literature review
    Shihao Weng, Yang Feng*, Yining Yin, Zhenlun Zhang, Baowen Xu.
    paper

  • [Internetware’25] Lightweight Probabilistic Coverage Metrics for Efficient Testing of Deep Neural Networks
    Yining Yin, Yang Feng*, Shihao Weng, Xinyu Gao, Jia Liu, Zhihong Zhao.
    paper  code

  • [EMSE’24] Seeing the invisible: test prioritization for object detection system
    Shihao Weng, Yang Feng*, Yining Yin, Yuxuan Dai, Jia Liu, Zhihong Zhao.
    paper  code

  • [ISSTA’24] Datactive: Data Fault Localization for Object Detection Systems
    Yining Yin, Yang Feng*, Shihao Weng, Yuan Yao, Jia Liu, Zhihong Zhao.
    paper  code

  • [FSE’23] Dynamic Data Fault Localization for Deep Neural Networks
    Yining Yin, Yang Feng*, Shihao Weng, Zixi Liu, Yuan Yao, Yichi Zhang, Zhihong Zhao, Zhenyu Chen.
    paper  code

  • [Internetware’23] Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems
    Shihao Weng, Yang Feng*, Yining Yin, Jia Liu.
    paper  code