Yexuan Shi (史烨轩)

Selected Publications [Full List]

1. TKDE 2022

   Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation

   Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, and Lei Chen

   IEEE Transactions on Knowledge and Data Engineering. 2022

   Bib PDF

   @article{tkde22-shi-efficient,
     author = {Shi, Yexuan and Tong, Yongxin and Zeng, Yuxiang and Zhou, Zimu and Ding, Bolin and Chen, Lei},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     title = {Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation},
     year = {2022},
     publisher = {IEEE},
     url = {https://doi.org/10.1109/TKDE.2021.3084141},
   }

2. VLDB 2022

   Hu-Fu: Efficient and Secure Spatial Queries over Data Federation

   Yongxin Tong, Xuchen Pan, Yuxiang Zeng,  Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, and Weifeng Lv

   Proceedings of the VLDB Endowment. 2022

   Bib PDF

   @article{vldb22-tong-hufu,
     author = {Tong, Yongxin and Pan, Xuchen and Zeng, Yuxiang and Shi, Yexuan and Xue, Chunbo and Zhou, Zimu and Zhang, Xiaofei and Chen, Lei and Xu, Yi and Xu, Ke and Lv, Weifeng},
     title = {Hu-Fu: Efficient and Secure Spatial Queries over Data Federation},
     journal = {Proceedings of the {VLDB} Endowment},
     volume = {15},
     number = {6},
     pages = {1159--1172},
     year = {2022},
     doi = {10.14778/3514061.3514064},
   }

3. TKDE 2021

   An Efficient Insertion Operator in Dynamic Ridesharing Services

   Yi Xu, Yongxin Tong,  Yexuan Shi, Qian Tao, Ke Xu, and Wei Li

   IEEE Transactions on Knowledge and Data Engineering. 2021

   Bib PDF

   @article{tkde21-xu-efficient,
     title = {An Efficient Insertion Operator in Dynamic Ridesharing Services},
     author = {Xu, Yi and Tong, Yongxin and Shi, Yexuan and Tao, Qian and Xu, Ke and Li, Wei},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     year = {2021},
     publisher = {IEEE},
     url = {https://doi.org/10.1109/TKDE.2020.3027200},
   }

4. MIS 2021

   Federated Topic Discovery: A Semantic Consistent Approach

   Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, and Wenbin Zhang

   IEEE Intelligent Systems. 2021

   Bib PDF

   @article{mis21-shi-federated,
     author = {Shi, Yexuan and Tong, Yongxin and Su, Zhiyang and Jiang, Di and Zhou, Zimu and Zhang, Wenbin},
     title = {Federated Topic Discovery: {A} Semantic Consistent Approach},
     journal = {{IEEE} Intelligent Systems},
     volume = {36},
     number = {5},
     pages = {96--103},
     year = {2021},
     url = {https://doi.org/10.1109/MIS.2020.3033459},
   }

5. AAAI 2019

   A Unified Approach to Online Matching with Conflict-Aware Constraints

   Pan Xu,  Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, and Leonidas Tsepenekas

   In the 33rd AAAI Conference on Artificial Intelligence. 2019

   Bib PDF

   @inproceedings{aaai19-xu-unified,
     author = {Xu, Pan and Shi, Yexuan and Cheng, Hao and Dickerson, John P. and Sankararaman, Karthik Abinav and Srinivasan, Aravind and Tong, Yongxin and Tsepenekas, Leonidas},
     title = {A Unified Approach to Online Matching with Conflict-Aware Constraints},
     booktitle = {the 33rd {AAAI} Conference on Artificial Intelligence},
     pages = {2221--2228},
     publisher = {{AAAI} Press},
     year = {2019},
     url = {https://doi.org/10.1609/aaai.v33i01.33012221},
   }

6. AAAI 2019

   Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach

   Boming Zhao, Pan Xu,  Yexuan Shi, Yongxin Tong, Zimu Zhou, and Yuxiang Zeng

   In the 33rd AAAI Conference on Artificial Intelligence. 2019

   Bib PDF

   @inproceedings{aaai19-zhao-preference,
     author = {Zhao, Boming and Xu, Pan and Shi, Yexuan and Tong, Yongxin and Zhou, Zimu and Zeng, Yuxiang},
     title = {Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An
                    Online Stable Matching Approach},
     booktitle = {the 33rd {AAAI} Conference on Artificial Intelligence},
     pages = {2245--2252},
     publisher = {{AAAI} Press},
     year = {2019},
     url = {https://doi.org/10.1609/aaai.v33i01.33012245},
   }