RockSalt: better, faster, stronger SFI for the x86 G Morrisett, G Tan, J Tassarotti, JB Tristan, E Gan Proceedings of the 33rd ACM SIGPLAN conference on Programming Language …, 2012 | 206 | 2012 |
Macrobase: Prioritizing attention in fast data P Bailis, E Gan, S Madden, D Narayanan, K Rong, S Suri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 184 | 2017 |
Moment-based quantile sketches for efficient high cardinality aggregation queries E Gan, J Ding, KS Tai, V Sharan, P Bailis Proceedings of the VLDB Endowment 11 (11), 1647-1660, 2018 | 70 | 2018 |
Diff: a relational interface for large-scale data explanation F Abuzaid, P Kraft, S Suri, E Gan, E Xu, A Shenoy, A Ananthanarayan, ... The VLDB Journal, 1-26, 2020 | 55 | 2020 |
Approximate Selection with Guarantees using Proxies D Kang, E Gan, P Bailis, T Hashimoto, M Zaharia arXiv preprint arXiv:2004.00827, 2020 | 35 | 2020 |
Scalable kernel density classification via threshold-based pruning E Gan, P Bailis Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 35 | 2017 |
Prioritizing attention in fast data: Principles and promise P Bailis, E Gan, K Rong, S Suri Proceedings of the 2017 ACM SIGMOD International Conference on Management of …, 2017 | 24 | 2017 |
CoopStore: Optimizing Precomputed Summaries for Aggregation E Gan, P Bailis, M Charikar Proceedings of the VLDB Endowment 13 (11), 2020 | 19 | 2020 |
MacroBase: Prioritizing Attention in Fast Data F Abuzaid, P Bailis, J Ding, E Gan, S Madden, D Narayanan, K Rong, ... ACM Transactions on Database Systems (TODS) 43 (4), 1-45, 2018 | 18 | 2018 |
Expanding mutually exclusive clusters of users of an online system clustered based on a specified dimension S Powell, BP Arnoux, SA Hong, DK Chapsky, AS Berger, NG Nawathe, ... US Patent App. 14/808,320, 2017 | 15 | 2017 |
Macrobase: Analytic monitoring for the internet of things P Bailis, E Gan, S Madden, D Narayanan, K Rong, S Suri arXiv preprint arXiv:1603.00567 7, 2016 | 14 | 2016 |
Type classes for lightweight substructural types E Gan, JA Tov, G Morrisett arXiv preprint arXiv:1502.04772, 2015 | 7 | 2015 |
CrossTrainer: Practical Domain Adaptation with Loss Reweighting J Chen, E Gan, K Rong, S Suri, P Bailis Proceedings of the 3rd International Workshop on Data Management for End-to …, 2019 | 6 | 2019 |
MacroBase, A Fast Data Analysis Engine P Bailis, E Gan, K Rong, S Suri Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 4 | 2017 |
Data Summaries for Scalable, High-Cardinality Analytics E Gan Stanford University, 2020 | | 2020 |
Efficient Mergeable Quantile Sketches using Moments E Gan, J Ding, P Bailis SysML, 2018 | | 2018 |