Education Profile

  • Ph.D., Control Science and Engineering, Xi'an Jiaotong University, Xi'an, China, 2015
  • B.S., Automation Science and Technology, Xi'an Jiaotong University, Xi'an, China, 2008 

Professional Profile

  • 2017-Present: Postdoctoral Fellow, KAUST, Thuwal, Saudi Arabia.
  • 2015-2017: Postdoctoral Fellow, The Chinese University of Hong Kong.

Honors & Awards

  • Best Paper Award, ACM RecSys 2017.
  • Best Paper Award, WWW SIMPLEX Workshop 2014.

Scientific and Professional Membership

  • ​IEEE Member

Junzhou Zhao works as a Postdoctoral Research Fellow with Professor Xiangliang Zhang at Machine Intelligence and kNowledge Engineering (MINE) Laboratory in King Abdullah University of Science and Technology (KAUST).

Research Interests

​His research interests mainly focus on large-scale graph/network measurement, mining, and optimization, with a particular interest in online social network applications, a.k.a. the network science.

Selected Publications

  • ​Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. “IO-Efficient Calculation of H-Group Closeness Centrality over Disk-Resident Graphs”. Information Sciences (IS), 400:105–128, 2017.
  • Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. “Whom to Follow: Efficient Followee Selection for Cascading Outbreak Detection on Online Social Networks”. Computer Networks (COMNET), 75:544–559, 2014.
  • Pinghui Wang, Junzhou Zhao*, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C.S. Lui, Don Towsley, Jing Tao, and Xiaohong Guan. MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
  • Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. Unbiased Characterization of Node Pairs over Large Graphs. In ACM Transactions on Knowledge Discovery from Data (TKDD), 2014.
  • ​Xiaoying Zhang, Junzhou Zhao, and John C.S. Lui. “Modeling the Assimilation-Contrast effects in Online Product Rating Systems: Debiasing and Recommendations”. In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys), 2017. (Best Paper Award)
  • Pinghui Wang, John C.S. Lui, Don Towsley, and Junzhou Zhao. Minfer: A Method of Inferring Motif Statistics from Sampled Edges. In Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), 2016.
  • Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. “A Tale of Three Graphs: Sampling Design on Hybrid Social-Affiliation Networks”. In Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), 2015.
  • Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. “Measuring and Maximizing Group Closeness Centrality over Disk-Resident Graphs”. In the sixth Annual Workshop on Simplifying Complex Networks for Practitioners (SIMPLEX, co-located with WWW), 2014. (Best Paper Award)
  • Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan. “Sampling Node Pairs Over Large Graphs”. In proceedings of the 29th International Conference on Data Engineering (ICDE), 2013.