Hanzhi Wang

According to our database, Hanzhi Wang authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PageRank Centrality in Directed Graphs with Bounded In-Degree.

Mikkel Thorup, Hanzhi Wang, Zhewei Wei, Mingji Yang

Proceedings of the 2026 Annual ACM-SIAM Symposium on Discrete Algorithms, 2026

2025

Instance Optimality in PageRank Centrality Estimation.

Mikkel Thorup, Hanzhi Wang

CoRR, December, 2025

Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates.

Zhuowei Zhao, Zhuo Zhang, Hanzhi Wang, Junhao Gan, Zhifeng Bao, Jianzhong Qi

CoRR, September, 2025

Estimating Random-Walk Probabilities in Directed Graphs.

Christian Bertram, Mads Vestergaard Jensen, Mikkel Thorup, Hanzhi Wang, Shuyi Yan

CoRR, April, 2025

Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method.

Guanyu Cui, Hanzhi Wang, Zhewei Wei

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Optimal Dynamic Parameterized Subset Sampling.

Junhao Gan, Seeun William Umboh, Hanzhi Wang, Anthony Wirth, Zhuo Zhang

Proc. ACM Manag. Data, November, 2024

Efficient Algorithms for Personalized PageRank Computation: A Survey.

Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2024

Revisiting Local Computation of PageRank: Simple and Optimal.

Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Revisiting Local PageRank Estimation on Undirected Graphs: Simple and Optimal.

Hanzhi Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Estimating Single-Node PageRank in Õ(min{d_t, √m}) Time.

Hanzhi Wang, Zhewei Wei

CoRR, 2023

Optimal Dynamic Subset Sampling: Theory and Applications.

Lu Yi, Hanzhi Wang, Zhewei Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Edge-based Local Push for Personalized PageRank.

Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Proc. VLDB Endow., 2022

Instant Graph Neural Networks for Dynamic Graphs.

Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.

Hanzhi Wang, Zhewei Wei, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

VLDB J., 2021

Approximate Graph Propagation.

Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Exact Single-Source SimRank Computation on Large Graphs.

Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Proceedings of the 2020 International Conference on Management of Data, 2020

Personalized PageRank to a Target Node, Revisited.

Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020