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Mingdao Li
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2020 – today
- 2024
- [c5]Mingdao Li, Peng Peng, Zheyuan Hu, Lei Zou, Zheng Qin:
Variable-Length Path Query Evaluation Based on Worst-Case Optimal Joins. ICDE 2024: 3311-3323 - 2023
- [j3]Ningchao Ge, Zheng Qin, Peng Peng, Mingdao Li, Lei Zou, Keqin Li:
A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems. IEEE Trans. Big Data 9(2): 665-676 (2023) - [j2]Mingdao Li, Peng Peng, Zhen Tian, Zheng Qin, Zheng Huang, Yi Liu:
Optimizing Keyword Search Over Federated RDF Systems. IEEE Trans. Big Data 9(3): 918-935 (2023) - [c4]Mingdao Li, Bo Zhai, Yuntao Jiang, Yunjian Li, Zheng Qin, Peng Peng:
Locality Sensitive Hashing for Data Placement to Optimize Parallel Subgraph Query Evaluation. APWeb-WAIM (1) 2023: 32-47 - [c3]Mingdao Li, Peng Peng, Zheng Qin:
Feds: A Highly Efficient Keyword Search System Operating on Federated RDF Systems. APWeb/WAIM (4) 2023: 483-488 - 2021
- [c2]Ningchao Ge, Peng Peng, Zheng Qin, Mingdao Li:
FedAggs: Optimizing Aggregate Queries Evaluation in Federated RDF Systems. WISE (2) 2021: 527-535 - 2020
- [j1]Qing Wang, Shengyi Ji, Peng Peng, Mingdao Li, Ping Huang, Zheng Qin:
Optimizing Distance Computation in Distributed Graph Systems. IEEE Access 8: 191673-191682 (2020)
2010 – 2019
- 2019
- [c1]Mingdao Li, Peng Peng, Yang Xu, Hao Xia, Zheng Qin:
Distributed Landmark Selection for Lower Bound Estimation of Distances in Large Graphs. APWeb/WAIM (1) 2019: 223-239
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