Xiao Hu

60 papers A* 9A 4B 1Journal 41Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A conf
Neither Cover nor Pack: Distributed Worst-Case Optimality of Degree-2 Joins.
ICDT
Heba Aamer, Xiao Hu, Bas Ketsman
2026 J jnl
Reservoir Sampling over Joins.
ACM Trans. Database Syst.
Binyang Dai, Xiao Hu, Ke Yi
2025 J jnl
Enumeration Algorithms for Conjunctive Queries with Projection.
Log. Methods Comput. Sci.
Shaleen Deep, Xiao Hu, Paraschos Koutris
2025 J jnl
Fast Matrix Multiplication meets the Submodular Width.
Proc. ACM Manag. Data
Mahmoud Abo Khamis, Xiao Hu, Dan Suciu
2025 A conf
Optimal Oblivious Algorithms for Multi-Way Joins.
ICDT
Xiao Hu, Zhiang Wu
2025 J jnl
Optimal Oblivious Algorithms for Multi-way Joins.
CoRR
Xiao Hu, Zhiang Wu
2025 J jnl
Output-Optimal Algorithms for Join-Aggregate Queries.
Proc. ACM Manag. Data
Xiao Hu
2025 J jnl
Reservoir Sampling over Joins.
SIGMOD Rec.
Binyang Dai, Xiao Hu, Ke Yi
2025 J jnl
Smallest Synthetic Witnesses for Conjunctive Queries.
Proc. ACM Manag. Data
Aryan Esmailpour, Boris Glavic, Xiao Hu, Stavros Sintos
2025 J jnl
Space-Time Tradeoffs for Spatial Conjunctive Queries.
CoRR
Aryan Esmailpour, Xiao Hu, Stavros Sintos
2025 J jnl
Subset Sampling over Joins.
CoRR
Aryan Esmailpour, Xiao Hu, Jinchao Huang, Stavros Sintos
2025 J jnl
Towards Update-Dependent Analysis of Query Maintenance.
Proc. ACM Manag. Data
Xiao Hu, Qichen Wang
2024 J jnl
Computing A Well-Representative Summary of Conjunctive Query Results.
Proc. ACM Manag. Data
Pankaj K. Agarwal, Aryan Esmailpour, Xiao Hu, Stavros Sintos, Jun Yang
2024 J jnl
Fast Matrix Multiplication for Query Processing.
Proc. ACM Manag. Data
Xiao Hu
2024 J jnl
Fast Matrix Multiplication meets the Subdmodular Width.
CoRR
Mahmoud Abo Khamis, Xiao Hu, Dan Suciu
2024 A conf
Finding Smallest Witnesses for Conjunctive Queries.
ICDT
Xiao Hu, Stavros Sintos
2024 J jnl
On Reporting Durable Patterns in Temporal Proximity Graphs.
CoRR
Pankaj K. Agarwal, Xiao Hu, Stavros Sintos, Jun Yang
2024 J jnl
On Reporting Durable Patterns in Temporal Proximity Graphs.
Proc. ACM Manag. Data
Pankaj K. Agarwal, Xiao Hu, Stavros Sintos, Jun Yang
2024 J jnl
Parallel Acyclic Joins: Optimal Algorithms and Cyclicity Separation.
J. ACM
Xiao Hu, Yufei Tao
2024 J jnl
Reservoir Sampling over Joins.
CoRR
Binyang Dai, Xiao Hu, Ke Yi
2024 J jnl
Reservoir Sampling over Joins.
Proc. ACM Manag. Data
Binyang Dai, Xiao Hu, Ke Yi
2024 J jnl
Topology-aware Parallel Joins.
Proc. ACM Manag. Data
Xiao Hu, Paraschos Koutris
2023 J jnl
Change Propagation Without Joins.
CoRR
Qichen Wang, Xiao Hu, Binyang Dai, Ke Yi
2023 J jnl
Change Propagation Without Joins.
Proc. VLDB Endow.
Qichen Wang, Xiao Hu, Binyang Dai, Ke Yi
2023 J jnl
Computing the Difference of Conjunctive Queries Efficiently.
CoRR
Xiao Hu, Qichen Wang
2023 J jnl
Computing the Difference of Conjunctive Queries Efficiently.
Proc. ACM Manag. Data
Xiao Hu, Qichen Wang
2023 A* conf
Differentially Private Data Release over Multiple Tables.
PODS
Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
2023 J jnl
Differentially Private Data Release over Multiple Tables.
CoRR
Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
2023 J jnl
Finding Smallest Witnesses for Conjunctive Queries.
CoRR
Xiao Hu, Stavros Sintos
2023 J jnl
Front Matter.
Proc. VLDB Endow.
Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete
2023 B conf
General Space-Time Tradeoffs via Relational Queries.
WADS
Shaleen Deep, Xiao Hu, Paraschos Koutris
2023 J jnl
NOCAP: Near-Optimal Correlation-Aware Partitioning Joins.
CoRR
Zichen Zhu, Xiao Hu, Manos Athanassoulis
2023 J jnl
NOCAP: Near-Optimal Correlation-Aware Partitioning Joins.
Proc. ACM Manag. Data
Zichen Zhu, Xiao Hu, Manos Athanassoulis
2023 A* conf
On Differentially Private Sampling from Gaussian and Product Distributions.
NeurIPS
Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
2023 J jnl
On Differentially Private Sampling from Gaussian and Product Distributions.
CoRR
Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
2023 — ed.
Proceedings of the VLDB 2023 PhD Workshop co-located with the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023.
PhD@VLDB
Vasilis Efthymiou, Xiao Hu
2022 — conf
Computing Complex Temporal Join Queries Efficiently.
SIGMOD Conference
Xiao Hu, Stavros Sintos, Junyang Gao, Pankaj K. Agarwal, Jun Yang
2022 J jnl
Ranked Enumeration of Join Queries with Projections.
CoRR
Shaleen Deep, Xiao Hu, Paraschos Koutris
2022 J jnl
Ranked Enumeration of Join Queries with Projections.
Proc. VLDB Endow.
Shaleen Deep, Xiao Hu, Paraschos Koutris
2022 — conf
Selectivity Functions of Range Queries are Learnable.
SIGMOD Conference
Xiao Hu, Yuxi Liu, Haibo Xiu, Pankaj K. Agarwal, Debmalya Panigrahi, Sudeepa Roy, Jun Yang
2021 A* conf
Algorithms for a Topology-aware Massively Parallel Computation Model.
PODS
Xiao Hu, Paraschos Koutris, Spyros Blanas
2021 A* conf
Cover or Pack: New Upper and Lower Bounds for Massively Parallel Joins.
PODS
Xiao Hu
2021 A* conf
Dynamic Enumeration of Similarity Joins.
ICALP
Pankaj K. Agarwal, Xiao Hu, Stavros Sintos, Jun Yang
2021 J jnl
Dynamic Enumeration of Similarity Joins.
CoRR
Pankaj K. Agarwal, Xiao Hu, Stavros Sintos, Jun Yang
2021 A conf
Enumeration Algorithms for Conjunctive Queries with Projection.
ICDT
Shaleen Deep, Xiao Hu, Paraschos Koutris
2021 J jnl
Enumeration Algorithms for Conjunctive Queries with Projection.
CoRR
Shaleen Deep, Xiao Hu, Paraschos Koutris
2021 J jnl
Space-Time Tradeoffs for Answering Boolean Conjunctive Queries.
CoRR
Shaleen Deep, Xiao Hu, Paraschos Koutris
2020 J jnl
Aggregated Deletion Propagation for Counting Conjunctive Query Answers.
CoRR
Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
2020 J jnl
Aggregated Deletion Propagation for Counting Conjunctive Query Answers.
Proc. VLDB Endow.
Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
2020 J jnl
Algorithms for a Topology-aware Massively Parallel Computation Model.
CoRR
Xiao Hu, Paraschos Koutris, Spyros Blanas
2020 — conf
Fast Join Project Query Evaluation using Matrix Multiplication.
SIGMOD Conference
Shaleen Deep, Xiao Hu, Paraschos Koutris
2020 J jnl
Fast Join Project Query Evaluation using Matrix Multiplication.
CoRR
Shaleen Deep, Xiao Hu, Paraschos Koutris
2020 J jnl
Massively Parallel Join Algorithms.
SIGMOD Rec.
Xiao Hu, Ke Yi
2020 A* conf
Parallel Algorithms for Sparse Matrix Multiplication and Join-Aggregate Queries.
PODS
Xiao Hu, Ke Yi
2019 A* conf
Instance and Output Optimal Parallel Algorithms for Acyclic Joins.
PODS
Xiao Hu, Ke Yi
2019 J jnl
Instance and Output Optimal Parallel Algorithms for Acyclic Joins.
CoRR
Xiao Hu, Ke Yi
2019 J jnl
Output-Optimal Massively Parallel Algorithms for Similarity Joins.
ACM Trans. Database Syst.
Xiao Hu, Ke Yi, Yufei Tao
2018 — conf
Random Sampling over Joins Revisited.
SIGMOD Conference
Zhuoyue Zhao, Robert Christensen, Feifei Li, Xiao Hu, Ke Yi
2017 A* conf
Output-optimal Parallel Algorithms for Similarity Joins.
PODS
Xiao Hu, Yufei Tao, Ke Yi
2016 A* conf
Towards a Worst-Case I/O-Optimal Algorithm for Acyclic Joins.
PODS
Xiao Hu, Ke Yi