publications

2026

1. TSE

   CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents

   Jing Gong, Yanghui Wu^*, Linxi Liang^*, and 4 more authors

   IEEE Transactions on Software Engineering, Jan 2026

   DOI Bib HTML

   @article{gong2026cosqa,
     title = {{CoSQA+}: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents},
     author = {Gong, Jing and Wu, Yanghui and Liang, Linxi and Wang, Yanlin and Chen, Jiachi and Liu, Mingwei and Zheng, Zibin},
     journal = {IEEE Transactions on Software Engineering},
     volume = {52},
     number = {1},
     pages = {206--220},
     year = {2026},
     month = jan,
     doi = {10.1109/TSE.2025.3631886},
     url = {https://doi.org/10.1109/TSE.2025.3631886},
   }

2025

1. arXiv

   RustEvo²: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation

   Linxi Liang, Jing Gong^*, Mingwei Liu, and 5 more authors

   arXiv preprint arXiv:2503.16922, 2025

   arXiv Bib HTML

   @article{liang2025rustevo2,
     title = {RustEvo²: An Evolving Benchmark for {API} Evolution in {LLM}-based {Rust} Code Generation},
     author = {Liang, Linxi and Gong, Jing and Liu, Mingwei and Wang, Chong and Ou, Guangsheng and Wang, Yanlin and Peng, Xin and Zheng, Zibin},
     journal = {arXiv preprint arXiv:2503.16922},
     year = {2025},
     url = {https://arxiv.org/abs/2503.16922},
   }

2. JGR-ML

   An Explainable Deep Learning Method with Squeeze and Excitation Block for Nowcasting Tropical Cyclone Remote Precipitation

   Shiqi Xiao, Aoqi Zhang, Jing Gong, and 3 more authors

   Journal of Geophysical Research: Machine Learning and Computation, 2025

   DOI Bib HTML

   @article{xiao2025tropical,
     title = {An Explainable Deep Learning Method with Squeeze and Excitation Block for Nowcasting Tropical Cyclone Remote Precipitation},
     author = {Xiao, Shiqi and Zhang, Aoqi and Gong, Jing and Chen, Yilun and Chen, Shumin and Li, Weibiao},
     journal = {Journal of Geophysical Research: Machine Learning and Computation},
     volume = {2},
     number = {3},
     pages = {e2025JH000675},
     year = {2025},
     doi = {10.1029/2025JH000675},
     url = {https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025JH000675},
   }

2024

1. ICMIII

   A Study of Tennis Momentum Based on K-means++ and LightGBM Models

   Jing Gong

   In Proceedings of the 2024 2nd International Conference on Mechatronics, IoT, and Industrial Informatics (ICMIII 2024), Jun 2024

   Bib HTML

   @inproceedings{gong2024tennis,
     title = {A Study of Tennis Momentum Based on {K-means++} and {LightGBM} Models},
     author = {Gong, Jing},
     booktitle = {Proceedings of the 2024 2nd International Conference on Mechatronics, IoT, and Industrial Informatics (ICMIII 2024)},
     pages = {298--303},
     year = {2024},
     month = jun,
     address = {Melbourne, VIC, Australia},
     publisher = {IEEE},
     isbn = {9798350386639},
     url = {https://ieeexplore.ieee.org/abstract/document/10660045},
   }

2. arXiv

   A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning

   Chenlin Wu, Xiaoyu He, Zike Li, and 2 more authors

   arXiv preprint arXiv:2409.15955, 2024

   arXiv Bib HTML

   @article{wu2024federated,
     title = {A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning},
     author = {Wu, Chenlin and He, Xiaoyu and Li, Zike and Gong, Jing and Zheng, Zibin},
     journal = {arXiv preprint arXiv:2409.15955},
     year = {2024},
     url = {https://arxiv.org/abs/2409.15955},
   }