Publications

CoopStore: Optimizing Precomputed Summaries for Aggregation

Edward Gan, Peter Bailis, Moses Charikar
VLDB 2020 doi: 10.14778/3407790.3407817

[Code]

Approximate Selection with Guarantees using Proxies

Daniel Kang*, Edward Gan*, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia
VLDB 2020 doi: 10.14778/3407790.3407804

Data summaries for scalable, high-cardinality analytics

Edward Gan
PhD Thesis 2020

[Slides]

CrossTrainer: Practical Domain Adaptation with Loss Reweighting

Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
SIGMOD DEEM 2019 doi: 10.1145/3329486.3329491

DIFF: A Relational Interface for Large-Scale Data Explanation

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeff Naughton, Peter Bailis, Matei Zaharia
VLDB 2019 doi: 10.14778/3297753.3297761

Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries

Edward Gan, Jialin Ding, Kai Sheng Tai, Vatsal Sharan, Peter Bailis
VLDB 2018 doi: 10.14778/3236187.3236212

[Slides] [Code]

Scalable Kernel Density Classification via Threshold-Based Pruning

Edward Gan, Peter Bailis
SIGMOD 2017 doi: 10.1145/3035918.3064035

[Slides] [Code]

MacroBase: Prioritizing Attention in Fast Data

Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
SIGMOD 2017 doi: 10.1145/3035918.3035928

[Extended Journal]

Prioritizing Attention in Fast Data: Principles and Promise

Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
CIDR 2017

Type Classes for Lightweight Substructural Types

Edward Gan, Jesse Tov, Greg Morrisett
EPTCS (LINEARITY) 2014 doi: 10.4204/EPTCS.176.4

[Thesis] [Slides]

RockSalt: Better, Faster, Stronger SFI for the x86

Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-Baptiste Tristan, Edward Gan
PLDI 2011 doi: 10.1145/2254064.2254111