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Yubao Wu

Assistant Professor    

B.Eng., Electronic and Information Engineering, Dalian University of Technology, China, 2007
M.Eng., Signal and Information Processing, Dalian University of Technology, China, 2009
Ph.D., Computer Science, Case Western Reserve University, 2016


Big data analytics, data mining, and bioinformatics, with a particular interest in analyzing and mining large-scale networks and their applications in biomedical and social domains


Dr. Yubao (Robert) Wu received his Ph.D. degree from the Department of Electrical Engineering and Computer Science at Case Western Reserve University. He received both his M.Eng. and B.Eng. degrees from Dalian University of Technology, China. Dr. Wu is currently an assistant professor in the Department of Computer Science at Georgia State University.

Dr. Wu’s research focuses on big data analytics, data mining, and bioinformatics. He is especially interested in analyzing and mining large-scale networks and their applications in biomedical and social domains. Graphs are ubiquitous data structures that can model many real-world problems. Measuring similarity between nodes and detecting community structures in graphs are two fundamental problems in graph analysis. Dr. Wu is especially interested in applying random walks on graphs to design effective similarity measures and community detection methods. He is also interested in developing efficient computing algorithms for processing large-scale graphs. For example, he designs Monte Carlo methods for computing random-walk-based similarity measures. These Monte Carlo methods are randomized algorithms that can be deployed in distributed systems for processing large-scale graphs.


Yubao Wu, Yuchen Bian, and Xiang Zhang, Remember where you came from: on the second-order random walk based proximity measures, to appear in Proceedings of the 43rd International Conference on Very Large Data Bases (VLDB 2017).

Yubao Wu, Ruoming Jin, Jing Li, and Xiang Zhang, Robust local community detection: on free rider effect and its elimination, Proceedings of the VLDB Endowment, vol. 8, no. 7, 2015, pp. 798–809.

Yubao Wu, Ruoming Jin, Xiaofeng Zhu, and Xiang Zhang, Finding dense and connected subgraphs in dual networks, Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE 2015), pp. 915–926.

Yubao Wu, Ruoming Jin, and Xiang Zhang, Fast and unified local search for random walk based k-nearest-neighbor query in large graphs, Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (SIGMOD ’14), pp. 1139–1150.