Hoa T. Vu

32 papers A* 5A 4B 2Misc 2Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
Constructing Decision Trees from Data Streams.
ISIT
Huy Pham, Hoang Ta, Hoa T. Vu
2025 J jnl
Fast and Simple Densest Subgraph with Predictions.
CoRR
Thai Bui, Hoa T. Vu
2025 — conf
Massively Parallel Maximum Coverage Revisited.
SOFSEM (1)
Thai Bui, Hoa T. Vu
2024 J jnl
Finding Decision Tree Splits in Streaming and Massively Parallel Models.
CoRR
Huy Pham, Hoang Ta, Hoa T. Vu
2024 J jnl
Massively Parallel Maximum Coverage Revisited.
CoRR
Thai Bui, Hoa T. Vu
2024 J jnl
Revisiting maximum satisfiability and related problems in data streams.
Theor. Comput. Sci.
Hoa T. Vu
2023 J jnl
On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition.
SIAM J. Discret. Math.
David G. Harris, Hsin-Hao Su, Hoa T. Vu
2023 A* conf
Towards Better Bounds for Finding Quasi-Identifiers.
PODS
Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu
2022 Misc conf
Revisiting Maximum Satisfiability and Related Problems in Data Streams.
COCOON
Hoa T. Vu
2022 J jnl
Revisiting Maximum Satisfiability and Related Problems in Data Streams.
CoRR
Hoa T. Vu
2022 J jnl
Towards Better Bounds for Finding Quasi-Identifiers.
CoRR
Ryan Hildebrant, Quoc-Tung Le, Duy-Hoang Ta, Hoa T. Vu
2021 A conf
Maximum Coverage in the Data Stream Model: Parameterized and Generalized.
ICDT
Andrew McGregor, David Tench, Hoa T. Vu
2021 J jnl
Maximum Coverage in the Data Stream Model: Parameterized and Generalized.
CoRR
Andrew McGregor, David Tench, Hoa T. Vu
2021 A* conf
On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition.
PODC
David G. Harris, Hsin-Hao Su, Hoa T. Vu
2020 A conf
Distributed Dense Subgraph Detection and Low Outdegree Orientation.
DISC
Hsin-Hao Su, Hoa T. Vu
2020 J jnl
On the Locality of Nash-Williams Forest Decomposition and Star-Forest Decomposition.
CoRR
David G. Harris, Hsin-Hao Su, Hoa T. Vu
2019 J jnl
Better Streaming Algorithms for the Maximum Coverage Problem.
Theory Comput. Syst.
Andrew McGregor, Hoa T. Vu
2019 A conf
Distributed Data Summarization in Well-Connected Networks.
DISC
Hsin-Hao Su, Hoa T. Vu
2019 J jnl
Distributed Data Summarization in Well-Connected Networks.
CoRR
Hsin-Hao Su, Hoa T. Vu
2019 J jnl
Distributed Dense Subgraph Detection and Low Outdegree Orientation.
CoRR
Hsin-Hao Su, Hoa T. Vu
2019 J jnl
Towards the Locality of Vizing's Theorem.
CoRR
Hsin-Hao Su, Hoa T. Vu
2019 A* conf
Towards the locality of Vizing's theorem.
STOC
Hsin-Hao Su, Hoa T. Vu
2018 A* conf
Finding Subcube Heavy Hitters in Analytics Data Streams.
WWW
Branislav Kveton, S. Muthukrishnan, Hoa T. Vu, Yikun Xian
2017 A conf
Better Streaming Algorithms for the Maximum Coverage Problem.
ICDT
Andrew McGregor, Hoa T. Vu
2017 J jnl
Finding Subcube Heavy Hitters in Data Streams.
CoRR
Branislav Kveton, S. Muthukrishnan, Hoa T. Vu
2016 A* conf
Better Algorithms for Counting Triangles in Data Streams.
PODS
Andrew McGregor, Sofya Vorotnikova, Hoa T. Vu
2016 J jnl
Better Streaming Algorithms for the Maximum Coverage Problem.
CoRR
Andrew McGregor, Hoa T. Vu
2015 — conf
Densest Subgraph in Dynamic Graph Streams.
MFCS (2)
Andrew McGregor, David Tench, Sofya Vorotnikova, Hoa T. Vu
2015 J jnl
Densest Subgraph in Dynamic Graph Streams.
CoRR
Andrew McGregor, David Tench, Sofya Vorotnikova, Hoa T. Vu
2015 Misc conf
Evaluating Bayesian Networks via Data Streams.
COCOON
Andrew McGregor, Hoa T. Vu
2015 B conf
Run Generation Revisited: What Goes Up May or May Not Come Down.
ISAAC
Michael A. Bender, Samuel McCauley, Andrew McGregor, Shikha Singh, Hoa T. Vu
2015 J jnl
Run Generation Revisited: What Goes Up May or May Not Come Down.
CoRR
Michael A. Bender, Samuel McCauley, Andrew McGregor, Shikha Singh, Hoa T. Vu