My research interests are centered around large-scale data analysis, with a focus on online social networks (OSNs). Most of my work is measurement-driven and modeling based, using data mining and machine learning techniques. My research topics include graph analysis and modeling, studying human online behaviors (with an focus on financial markets), ranking/advertising on OSNs, and network traffic monitoring.
2016 November: PH.D. Proposal Talk Data-driven Graph Analysis
2016 September: Our paper Self-similarity in Social Network Dynamics accepted by ACM ToMPECS 2016
2016 July: Our paper Network Growth and Link Prediction Through an Empirical Lens accepted by IMC 2016
Qingyun Liu,Shiliang Tang, Xinyi Zhang, Xiaohan Zhao, Ben Y.Zhao and Haitao Zheng, "Network Growth and Link Prediction Through an Empirical Lens",Proc. of the ACM Internet Measurement Conference (IMC'16), Santa Monica, California, USA, November 2016.
Qingyun Liu,Xiaohan Zhao, Walter Willinger, Xiao Wang, Ben Y.Zhao and Haitao Zheng, "Self-similarity in Social Network Dynamics", ACM Transactions on Modeling and Performance Evaluation of Computing Systems(ToMPECS) 2016.
Xiaohan Zhao,Qingyun Liu,Haitao Zheng and Ben Y.Zhao, "Towards Graph Watermarks",Proc. of the ACM Conference on Online Social Networks (COSN'15), Stanford University, California, USA, November 2015.
Qingyun Liu,Shiliang Tang, Megan McQueen, Scott Counts, Apurv Jain, Haitao Zheng and Ben Y.Zhao,"Herd Behavior and Inefficiency in Stock Markets",submitted, currently under review
Shiliang Tang,Qingyun Liu, Megan McQueen, Scott Counts, Apurv Jain, Haitao Zheng and Ben Y.Zhao,"Echo Chambers in Investment Discussion Boards",submitted, currently under review
Junjie Yao, Bin Cui, Zijun Xue and Qingyun Liu, "Provenance-based Indexing Support in Micro-blog Patlforms",,Proc. of the IEEE 28th International Conference on Data Engeneering (ICDE'12), Arlington, VA, USA, April 2012. [PDF]