publications

2026

1. DASHSys

   Utilizing LLM-based Multi-agent Framework for Pipelining Complex Data Discovery Tasks

   Qianyu Yang and Jin Wang

   In Workshop on Systems for Data-centric Agents with Human-in-the-loop (DASHSys), co-located with VLDB 2026, 2026

   Accepted. Workshop to be held on September 4, 2026.

   Bib

   @inproceedings{yang2026dashsys,
     title = {Utilizing LLM-based Multi-agent Framework for Pipelining Complex Data Discovery Tasks},
     author = {Yang, Qianyu and Wang, Jin},
     booktitle = {Workshop on Systems for Data-centric Agents with Human-in-the-loop (DASHSys), co-located with VLDB 2026},
     year = {2026},
     note = {Accepted. Workshop to be held on September 4, 2026.}
   }

2025

1. PVLDB

   Hint-QPT: Hints for Robust Query Performance Tuning

   Haibo Xiu, Yang Li, Qianyu Yang, and 5 more authors

   Proceedings of the VLDB Endowment, 2025

   Demonstration track.

   DOI Bib

   @article{xiu2025hintqpt,
     title = {Hint-QPT: Hints for Robust Query Performance Tuning},
     author = {Xiu, Haibo and Li, Yang and Yang, Qianyu and Guo, Weihang and Liu, Yuxi and Agarwal, Pankaj K. and Roy, Sudeepa and Yang, Jun},
     journal = {Proceedings of the VLDB Endowment},
     volume = {18},
     number = {12},
     pages = {5327--5330},
     year = {2025},
     doi = {10.14778/3750601.3750663},
     url = {https://doi.org/10.14778/3750601.3750663},
     note = {Demonstration track.}
   }

2. PVLDB

   PAR2QO: Parametric Penalty-Aware Robust Query Optimization

   Haibo Xiu, Yang Li, Qianyu Yang, and 2 more authors

   Proceedings of the VLDB Endowment, 2025

   DOI Bib

   @article{xiu2025par2qo,
     title = {PAR2QO: Parametric Penalty-Aware Robust Query Optimization},
     author = {Xiu, Haibo and Li, Yang and Yang, Qianyu and Agarwal, Pankaj K. and Yang, Jun},
     journal = {Proceedings of the VLDB Endowment},
     volume = {18},
     number = {11},
     pages = {4532--4545},
     year = {2025},
     doi = {10.14778/3749646.3749711},
     url = {https://doi.org/10.14778/3749646.3749711}
   }