Hao Wu

24 papers A* 7A 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Improved Approximations for Hard Graph Problems using Predictions.
ICML
Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu
2025 J jnl
Improved Approximations for Hard Graph Problems using Predictions.
CoRR
Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu
2025 A* conf
Learning-Augmented Frequent Directions.
ICLR
Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu
2025 J jnl
Learning-Augmented Frequent Directions.
CoRR
Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu
2025 J jnl
Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation.
Proc. ACM Manag. Data
Rasmus Pagh, Lukas Retschmeier, Hao Wu, Hanwen Zhang
2024 J jnl
Faster Differentially Private Top-
CoRR
Hao Wu, Hanwen Zhang
2024 A* conf
Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning.
NeurIPS
Hao Wu, Hanwen Zhang
2024 J jnl
Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation.
CoRR
Rasmus Pagh, Lukas Retschmeier, Hao Wu, Hanwen Zhang
2024 A* conf
Profile Reconstruction from Private Sketches.
ICML
Hao Wu, Rasmus Pagh
2024 J jnl
Profile Reconstruction from Private Sketches.
CoRR
Hao Wu, Rasmus Pagh
2023 — —
Differentially Private Data Analysis.
Hao Wu
2023 J jnl
Tight Data Access Bounds for Private Top-$k$ Selection.
CoRR
Hao Wu, Olga Ohrimenko, Anthony Wirth
2023 A* conf
Tight Data Access Bounds for Private Top-k Selection.
ICML
Hao Wu, Olga Ohrimenko, Anthony Wirth
2022 A conf
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches.
AISTATS
Hao Wu, Anthony Wirth
2022 A* conf
Randomize the Future: Asymptotically Optimal Locally Private Frequency Estimation Protocol for Longitudinal Data.
PODS
Olga Ohrimenko, Anthony Wirth, Hao Wu
2022 J jnl
Walking to Hide: Privacy Amplification via Random Message Exchanges in Network.
CoRR
Hao Wu, Olga Ohrimenko, Anthony Wirth
2021 — conf
Dynamic Structural Clustering on Graphs.
SIGMOD Conference
Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth
2021 J jnl
Dynamic Structural Clustering on Graphs.
CoRR
Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth
2021 J jnl
Locally Differentially Private Frequency Estimation.
CoRR
Hao Wu, Anthony Wirth
2021 J jnl
Randomize the Future: Asymptotically Optimal Locally Private Frequency Estimation Protocol for Longitudinal Data.
CoRR
Olga Ohrimenko, Anthony Wirth, Hao Wu
2021 — conf
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
SIGMOD Conference
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2021 J jnl
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
CoRR
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2020 A* conf
Learning Based Distributed Tracking.
KDD
Hao Wu, Junhao Gan, Rui Zhang
2020 J jnl
Learning Based Distributed Tracking.
CoRR
Hao Wu, Junhao Gan, Rui Zhang