@misc{song2026feat,title={FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data},author={Song, Zhenghang and Qian, Tang and Chen, Lu and Li, Yushuai and Hu, Zhengke and Fang, Bingbing and Song, Yumeng and Zhao, Junbo and Zhang, Sheng and Li, Tianyi},year={2026},eprint={2603.16513},archiveprefix={arXiv},primaryclass={cs.LG},note={Preprint},}
OneDB
OneDB: A Distributed Multi-Metric Data Similarity Search System
Tang Qian, Yifan Zhu, Lu Chen, and 3 more authors
In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2026
@inproceedings{qian2026onedb,title={OneDB: A Distributed Multi-Metric Data Similarity Search System},author={Qian, Tang and Zhu, Yifan and Chen, Lu and Ke, Xiangyu and Li, Tianyi and Jensen, Christian},booktitle={Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2},year={2026},pages={4024--4033},publisher={ACM},doi={10.1145/3770855.3817776},}
QBase
QBase: A Query Aware Vector Search System
Boyu Tan, Tang Qian, Ziquan Fang, and 4 more authors
IEEE Transactions on Knowledge and Data Engineering (TKDE). Source Code can be found here , 2026
@article{tan2023qbase,title={QBase: A Query Aware Vector Search System},author={Tan, Boyu and Qian, Tang and Fang, Ziquan and Chen, Lu and Wang, Mengzhao and Wang, Qilong and Zhao, Jingwen},journal={IEEE Transactions on Knowledge and Data Engineering (TKDE)},year={2026},url={https://github.com/ZJU-DAILY/QBase},}
2024
DIMS
DIMS: Distributed Index for Similarity Search in Metric Spaces
Yifan Zhu, Chengyang Luo, Tang Qian, and 3 more authors
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
@article{zhu2024dims,title={DIMS: Distributed Index for Similarity Search in Metric Spaces},author={Zhu, Yifan and Luo, Chengyang and Qian, Tang and Chen, Lu and Gao, Yunjun and Zheng, Baihua},journal={IEEE Transactions on Knowledge and Data Engineering (TKDE)},year={2024},publisher={IEEE},}
2022
ST-LGSL
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Jiabin Tang, Tang Qian, Shijing Liu, and 3 more authors
@misc{tang2022spatiotemporallatentgraphstructure,title={Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting},author={Tang, Jiabin and Qian, Tang and Liu, Shijing and Du, Shengdong and Hu, Jie and Li, Tianrui},year={2022},eprint={2202.12586},archiveprefix={arXiv},primaryclass={cs.LG},url={https://arxiv.org/abs/2202.12586},journal={International Joint Conference on Neural Networks (IJCNN 2022)},}