Publications include 'PageRank Centrality in Directed Graphs with Bounded In-Degree', 'Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method', 'Optimal Dynamic Parameterized Subset Sampling', and more. Organized the WAVE (Women in Algorithms, Venture into Exploration) workshop at the University of Copenhagen on October 10, 2025.
Research Experience
Currently a PostDoc at BARC (Basic Algorithms Research Copenhagen), University of Copenhagen, working with Prof. Mikkel Thorup. Will join the School of Computing and Information Systems (CIS), The University of Melbourne as a Lecturer in November 2025.
Education
Received B.E. degree in Computer Science and Technology from the School of Information at Renmin University of China in June 2019. Obtained Ph.D. in Computer Science and Technology from the School of Information at Renmin University of China in May 2024, under the supervision of Prof. Zhewei Wei.
Background
Research interests: graph analysis algorithms, with a particular focus on the design of scalable algorithms for large graphs. Previous work primarily centers on sublinear-time algorithms for random-walk probability estimation. Also interested in local clustering and graph neural networks.
Miscellany
Email: hanzhi.hzwang@gmail.com; Google Scholar, DBLP, LinkedIn