su feng
su feng
Verified email at hawk.iit.edu - Homepage
Title
Cited by
Cited by
Year
GProM-a swiss army knife for your provenance needs
BS Arab, S Feng, B Glavic, S Lee, X Niu, Q Zeng
A Quarterly bulletin of the Computer Society of the IEEE Technical Committee …, 2018
182018
Uncertainty annotated databases-A lightweight approach for approximating certain answers
S Feng, A Huber, B Glavic, O Kennedy
Proceedings of the 2019 International Conference on Management of Data, 1313 …, 2019
102019
Data debugging and exploration with vizier
M Brachmann, C Bautista, S Castelo, S Feng, J Freire, B Glavic, ...
Proceedings of the 2019 International Conference on Management of Data, 1877 …, 2019
102019
Debugging transactions and tracking their provenance with reenactment
X Niu, BS Arab, S Lee, S Feng, X Zou, D Gawlick, V Krishnaswamy, ...
arXiv preprint arXiv:1707.09930, 2017
92017
Uncertainty annotated databases-a lightweight approach for approximating certain answers (extended version)
S Feng, A Huber, B Glavic, O Kennedy
arXiv preprint arXiv:1904.00234, 2019
22019
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds
S Feng, B Glavic, A Huber, OA Kennedy
Proceedings of the 2021 International Conference on Management of Data, 528-540, 2021
2021
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds (extended version)
S Feng, A Huber, B Glavic, O Kennedy
arXiv preprint arXiv:2102.11796, 2021
2021
DataSense: Display-Agnostic Data Documentation.
P Kumari, M Brachmann, S Feng, O Kennedy, B Glavic
CIDR, 2021
2021
Uncertainty Annotated Databases-A Lightweight Approach for Dealing with Uncertainty
S Feng, A Huber, B Glavic, O Kennedy
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Articles 1–9