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Zhiwei Fan
Zhiwei Fan
Research Scientist, Meta
在 meta.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Scaling-up in-memory datalog processing: Observations and techniques
Z Fan, J Zhu, Z Zhang, A Albarghouthi, P Koutris, J Patel
arXiv preprint arXiv:1812.03975, 2018
292018
Machine learning–aided exploration of relationship between strength and elastic properties in ascending thoracic aneurysm
Y Luo, Z Fan, S Baek, J Lu
International journal for numerical methods in biomedical engineering 34 (6 …, 2018
212018
Scalable inference of topic evolution via models for latent geometric structures
M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen
Advances in neural information processing systems 32, 2019
142019
Methods for automatic selection of degrees of parallelism for efficient execution of queries in a database system
FAN Zhiwei, R Sen, H Chavan, A Halverson
US Patent 11,176,129, 2021
102021
Automated tuning of query degree of parallelism via machine learning
Z Fan, R Sen, P Koutris, A Albarghouthi
Proceedings of the Third International Workshop on Exploiting Artificial …, 2020
92020
Lincqa: Faster consistent query answering with linear time guarantees
Z Fan, P Koutris, X Ouyang, J Wijsen
Proceedings of the ACM on Management of Data 1 (1), 1-25, 2023
52023
Certifiable Robustness for Naive Bayes Classifiers
S Bian, X Ouyang, Z Fan, P Koutris
arXiv preprint arXiv:2303.04811, 2023
22023
Towards Better Understanding of the Performance and Design of Datalog Systems.
Z Fan, S Mallireddy, P Koutris
Datalog 2, 166-180, 2022
22022
Building Datalog Systems for Scalable and Efficient Data Analytics
Z Fan
The University of Wisconsin-Madison, 2022
12022
A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism
Z Fan, R Sen, P Koutris, A Albarghouthi
arXiv preprint arXiv:2005.08439, 2020
12020
Supplementary material for Scalable inference of topic evolution via models for latent geometric structures
M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen
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