Haoyue Ping

13 papers A* 2B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences.
Proc. ACM Manag. Data
Haoyue Ping, Julia Stoyanovich
2021 J jnl
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences.
CoRR
Haoyue Ping, Julia Stoyanovich
2020 J jnl
Supporting Hard Queries over Probabilistic Preferences.
CoRR
Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld
2020 J jnl
Supporting Hard Queries over Probabilistic Preferences.
Proc. VLDB Endow.
Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld
2018 — conf
A Query Engine for Probabilistic Preferences.
SIGMOD Conference
Uzi Cohen, Batya Kenig, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
2018 — conf
MobilityMirror: Bias-Adjusted Transportation Datasets.
BiDU@VLDB
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2018 J jnl
MobilityMirror: Bias-Adjusted Transportation Datasets.
CoRR
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2018 A* conf
Probabilistic Inference Over Repeated Insertion Models.
AAAI
Batya Kenig, Lovro Ilijasic, Haoyue Ping, Benny Kimelfeld, Julia Stoyanovich
2017 — conf
A Database Framework for Probabilistic Preferences.
AMW
Batya Kenig, Benny Kimelfeld, Haoyue Ping, Julia Stoyanovich
2017 B conf
DataSynthesizer: Privacy-Preserving Synthetic Datasets.
SSDBM
Haoyue Ping, Julia Stoyanovich, Bill Howe
2017 A* conf
Querying Probabilistic Preferences in Databases.
PODS
Batya Kenig, Benny Kimelfeld, Haoyue Ping, Julia Stoyanovich
2017 J jnl
Synthetic Data for Social Good.
CoRR
Bill Howe, Julia Stoyanovich, Haoyue Ping, Bernease Herman, Matt Gee
2016 — conf
Workload-driven learning of mallows mixtures with pairwise preference data.
WebDB
Julia Stoyanovich, Lovro Ilijasic, Haoyue Ping