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Qizhong Mao
Qizhong Mao
Research Engineer, ByteDance
Verified email at bytedance.com - Homepage
Title
Cited by
Cited by
Year
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
3992019
Comparison and evaluation of state-of-the-art LSM merge policies
Q Mao, S Jacobs, W Amjad, V Hristidis, VJ Tsotras, NE Young
The VLDB Journal 30 (3), 361-378, 2021
102021
Experimental evaluation of bounded-depth LSM merge policies
Q Mao, S Jacobs, W Amjad, V Hristidis, VJ Tsotras, NE Young
2019 IEEE International Conference on Big Data (Big Data), 523-532, 2019
102019
Comprehensive Comparison of LSM Architectures for Spatial Data
Q Mao, MA Qader, V Hristidis
2020 IEEE International Conference on Big Data (Big Data), 455-460, 2020
82020
Bi-directional Log-Structured Merge Tree
X Zhang, Q Mao, A Eldawy, V Hristidis, Y Sun
34th International Conference on Scientific and Statistical Database …, 2022
42022
Comparison of LSM indexing techniques for storing spatial data
Q Mao, MA Qader, V Hristidis
Journal of Big Data 10 (1), 51, 2023
32023
LavaStore: ByteDance’s Purpose-built, High-performance, Cost-effective Local Storage Engine for Cloud Services
H Wang, J Ou, M Zhao, S Qiu, Y Jiao, Y Wang, Q Mao, Z Yang, Y Liu, ...
Proceedings of the VLDB Endowment 17 (12), 3799-3812, 2024
2024
Systems and methods for input/output dispatch
Z Yang, H Wang, S Qiu, Y Liu, Y Jiao, Q Mao, J Ou, M Zhao, Y Wang, ...
US Patent US20240036767A1, 2024
2024
Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs
Q Mao, V Hristidis
2023 IEEE International Conference on Big Data (BigData), 530-535, 2023
2023
Efficient Storage Design in Log-Structured Merge (LSM) Tree Databases
Q Mao
University of California, Riverside, 2022
2022
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