| An efficient insertion operator in dynamic ridesharing services Y Xu, Y Tong, Y Shi, Q Tao, K Xu, W Li IEEE Transactions on Knowledge and Data Engineering 34 (8), 3583-3596, 2020 | 87 | 2020 |
| Differentially private online task assignment in spatial crowdsourcing: A tree-based approach Q Tao, Y Tong, Z Zhou, Y Shi, L Chen, K Xu 2020 IEEE 36th International Conference on Data Engineering (ICDE), 517-528, 2020 | 76 | 2020 |
| Demand-aware charger planning for electric vehicle sharing B Du, Y Tong, Z Zhou, Q Tao, W Zhou Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 51 | 2018 |
| Multi-worker-aware task planning in real-time spatial crowdsourcing Q Tao, Y Zeng, Z Zhou, Y Tong, L Chen, K Xu Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 46 | 2018 |
| Bridging the Gap between Relational {OLTP} and Graph-based {OLAP} S Shen, Z Yao, L Shi, L Wang, L Lai, Q Tao, L Su, R Chen, W Yu, H Chen, ... 2023 USENIX Annual Technical Conference (USENIX ATC 23), 181-196, 2023 | 9 | 2023 |
| Ragraph: A region-aware framework for geo-distributed graph processing F Yao, Q Tao, W Yu, Y Zhang, S Gong, Q Wang, G Yu, J Zhou Proceedings of the VLDB Endowment 17 (3), 264-277, 2023 | 8 | 2023 |
| LON-GNN: spectral GNNs with learnable orthonormal basis Q Tao, Z Wang, W Yu, Y Li, Z Wei arXiv preprint arXiv:2303.13750, 2023 | 7 | 2023 |
| A differentially private task planning framework for spatial crowdsourcing Q Tao, Y Tong, S Li, Y Zeng, Z Zhou, K Xu 2021 22nd IEEE international conference on Mobile data management (MDM), 9-18, 2021 | 6 | 2021 |
| Market-driven optimal task assignment in spatial crowdsouring K Tan, Q Tao International Conference on Web-Age Information Management, 224-235, 2016 | 4 | 2016 |
| Asymkv: Enabling 1-bit quantization of kv cache with layer-wise asymmetric quantization configurations Q Tao, W Yu, J Zhou Proceedings of the 31st International Conference on Computational …, 2024 | 3 | 2024 |
| Efficient Multi-GPU Graph Processing with Remote Work Stealing K Meng, L Geng, X Li, Q Tao, W Yu, J Zhou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 191-204, 2023 | 3 | 2023 |
| Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph S Yu, S Gong, Y Zhang, W Yu, Q Yin, C Tian, Q Tao, Y Yan, G Yu, J Zhou 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2766-2779, 2023 | 3 | 2023 |
| Finding optimal team for multi-skill task in spatial crowdsourcing Q Tao, B Du, T Song, K Xu Web and Big Data: APWeb-WAIM 2017 International Workshops: MWDA, HotSpatial …, 2017 | 3 | 2017 |
| Interaction Management in Crowdsourcing. Y Wang, T Song, Q Tao, Y Zeng, Z Zhou, Y Xu, Y Tong, L Chen IEEE Data Eng. Bull. 42 (4), 23-34, 2019 | 2 | 2019 |
| Finding optimal team for multiskill task based on vehicle sensors data B Du, Q Tao, F Zhu, T Song Journal of Sensors 2017 (1), 8568613, 2017 | 2 | 2017 |
| GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing H Li arXiv preprint arXiv:2312.14396, 2023 | 1 | 2023 |
| Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy Q Tao, X Wang, M Zhang, S Hu, W Yu, J Zhou arXiv preprint arXiv:2412.18125, 2024 | | 2024 |
| LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR S Yu, S Gong, Q Tao, S Shen, Y Zhang, W Yu, P Liu, Z Zhang, H Li, X Luo, ... Proceedings of the ACM on Management of Data 2 (6), 1-28, 2024 | | 2024 |
| Towards Efficient Graph Processing in Geo-Distributed Data Centers F Yao, Q Tao, S Lin, Y Zhang, W Yu, S Gong, Q Wang, G Yu, J Zhou IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
| XU, Ke. Multi-worker-aware task planning in real-time spatial crowdsourcing.(2018) Q TAO, Y ZENG, Z ZHOU, Y TONG, L CHEN Proceedings of the 23rd Database Systems for Advanced Applications, DASFAA …, 2018 | | 2018 |
Yongxin Tong（童咏昕）Professor of Computer Science, Beihang UniversityDirección de correo verificada de buaa.edu.cn
