Learning Based Distributed Tracking. - Hao Wu 057; Junhao Gan; Rui Zhang 003 (KDD, 2020)

Dynamic Structural Clustering on Graphs. - Boyu Ruan; Junhao Gan; Hao Wu 057; Anthony Wirth (SIGMOD Conference, 2021)

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. - Hao Wu 057; Junhao Gan; Zhewei Wei; Rui Zhang 003 (SIGMOD Conference, 2021)

Locally Differentially Private Frequency Estimation. - Hao Wu 057; Anthony Wirth (CoRR, 2021)

Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches. - Hao Wu 057; Anthony Wirth (AISTATS, 2022)

Randomize the Future: Asymptotically Optimal Locally Private Frequency Estimation Protocol for Longitudinal Data. - Olga Ohrimenko; Anthony Wirth; Hao Wu 057 (PODS, 2022)

Walking to Hide: Privacy Amplification via Random Message Exchanges in Network. - Hao Wu 057; Olga Ohrimenko; Anthony Wirth (CoRR, 2022)

Tight Data Access Bounds for Private Top-k Selection. - Hao Wu 057; Olga Ohrimenko; Anthony Wirth (ICML, 2023)

Differentially Private Data Analysis. - Hao Wu 057 (2023)

Profile Reconstruction from Private Sketches. - Hao Wu 057; Rasmus Pagh (ICML, 2024)

Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning. - Hao Wu 057; Hanwen Zhang 003 (NeurIPS, 2024)

Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning. - Hao Wu 057; Hanwen Zhang 003 (CoRR, 2024)

Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation. - Rasmus Pagh; Lukas Retschmeier; Hao Wu 057; Hanwen Zhang 003 (Proc. ACM Manag. Data, 2025)