Main

March 11th, 2017

Wang Pinghui

Associate Professor, Ministry of Education Key Lab for Intelligent Networks and Network Security

#28, Xianning West Road,
Xi’an Jiaotong University,
Xi’an 710049, China

Short Biography

Pinghui Wang received the B.S. and Ph.D. degrees in information engineering from Xi’an Jiaotong University in 2006 and 2012 respectively. From 2009 to 2010, he was a visiting student in the Department of Electrical and Computer Engineering at University of Massachusetts, Amherst. He was a Postdoctoral Fellow in the Department of Computer Science & Engineering at The Chinese University of Hong Kong in 2012. From 2012 to 2013, he was a Postdoctoral Fellow in the School of Computer Science at McGill University. From 2014 to 2015, he was a researcher at HUAWEI Noah’s Ark Lab, Hong Kong.

Research Interests

Mobile application security, Graph mining, Social network privacy, Large scale graph analysis, Online social network measurement, High speed traffic analysis.

Publications

  • Junzhou Zhao, Pinghui Wang, John C.S. Lui, Don Towsley, and Xiaohong Guan. “I/O-Efficient Calculation of H-Group Closeness Centrality over Disk-Resident Graphs”. Accepted for Information Sciences 2017. (Impact Factor: 3.364)
  • Pinghui Wang, Yiyan Qi, John C.S. Lui, Don Towsley, Junzhou Zhao, and Jing Tao. “Inferring Higher-Order Structure Statistics of Large Networks From Sampled Edges”. Accepted for IEEE Transactions on Knowledge and Data Engineering 2017. (CCF Rank A. An earlier version appeared in Proceedings of IEEE ICDE 2016. Best papers of IEEE ICDE 2016 selected for a special section of IEEE TKDE)
  • Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, and Albert Bifet. “Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories”. Accepted for Alternative Research Track at WWW 2017. (CCF Rank A)
  • Xiaowei Chen, Yongkun Li, Pinghui Wang, and John C.S. Lui. “A General Framework for Estimating Graphlet Statistics via Random Walk”. Accepted for Proceedings of  VLDB Conference 2017. (CCF Rank A)
  • Pinghui Wang, John C.S. Lui, Don Towsley, and Junzhou Zhao. “Minfer: A Method of Inferring Motif Statistics From Sampled Edges”.  Proceedings of  IEEE ICDE 2016. (CCF Rank A, reported by MIT Technology Review and US Department of Defense S&T News Bulletin)
  • Pinghui Wang, Wenbo He, and Xue Liu. “Efficiently Estimating Statistics of Points of Interests on Maps”. IEEE Transactions on Knowledge and Data Engineering, 28(2): 425-438, 2016. (CCF Rank A. An earlier version appeared in Proceedings of IEEE ICDE 2014.)
  • Junzhou Zhao, John C.S. Lui, Don Towsley, Pinghui Wang, and Xiaohong Guan. “Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams”. Proceedings of ACM Conference on Online Social Networks (COSN’15) 2015.
  • 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”. Proceedings of IEEE ICDE 2015. (CCF Rank A).
  • Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan, “Unbiased Characterization of Node Pairs Over Large Graphs”,  ACM Transactions on Knowledge Discovery from Data, 9(3), 2015. (CCF Rank B. An earlier version appeared in Proceedings of IEEE ICDE 2013. )
  • Pinghui Wang, John C.S. Lui, Bruno Ribeiro, Don Towsley, Junzhou Zhao, and Xiaohong Guan, “Efficiently Estimating Motif Statistics of Large Networks”,  ACM Transactions on Knowledge Discovery from Data, 9(2), 2014. (CCF Rank B)
  • Pinghui Wang, Xiaohong Guan, Junzhou Zhao, Jing Tao, and Tao Qin, “A New Sketch Method for Measuring Host Connection Degree Distribution”, IEEE Transactions on Information Forensics and Security, 9(6): 948-960, 2014. (CCF Rank A)
  • Pinghui Wang, Wenbo He, and Junzhou Zhao, “A Tale of Three Social Networks: User Activity Comparisons Among Facebook, Twitter, and Foursquare”,  IEEE Internet Computing‘s special issue: SI: Mar/Apr 2014 – Identity, Privacy, and Deception in Social Networks. (Featured Article of the Special Technical Community on Social Networks. “Featured Articles” is a section of the Special Technical Community on Social Networks that will shed light to pieces of social network research that are considered interesting and promising. Each month one research article will be selected from the IEEE Computer Society Digital Library to be featured in this section.)
  • Pinghui Wang, Wenbo He, and Xue Liu, “An Efficient Sampling Method for Characterizing Points of Interests on Maps”, Proceedings of IEEE ICDE 2014.(CCF Rank A)
  • Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, Min Zhu, “A new connection degree calculation and measurement method for large scale network monitoring”,  Elsevier Journal of Network and Computer Applications 41: 15-26, 2014. (CCF Rank B)
  • Fabricio Murai, Bruno Ribeiro, Don Towsley, and Pinghui Wang, “On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling”, IEEE Journal on Selected Areas in Communications 31(6): 1017-1025, 2013. (CCF Rank A)
  • Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan, “Sampling Node Pairs Over Large Graphs”, Proceedings of IEEE ICDE 2013.  (CCF Rank A)
  • Pinghui Wang, Xiaohong Guan, Don Towsley, and Jing Tao, “Virtual indexing based methods for estimating node connection degrees”,  Elsevier Computer Networks 56(12): 2773–2787, 2012.  (CCF Rank B)
  • Bruno Ribeiro, Pinghui Wang, Fabricio Murai, and Don Towsley, “Sampling Directed Graphs with Random Walks”, Proceedings of IEEE INFOCOM 2012.  (CCF Rank A)
  • Pinghui Wang, Xiaohong Guan, Weibo Gong, and Don Towsley, “A new virtual indexing method for measuring host connection degrees”, Proceedings of IEEE INFOCOM Mini-Conference, pp. 1156-1160, April 2011.  (CCF Rank A. There are errors in the conference version, and the correct version is available here [pdf])
  • Pinghui Wang, Xiaohong Guan, Tao Qin, Qiuzhen Huang, “A Data Streaming Method for Monitoring Host Connection Degrees of High-Speed Links”, IEEE Transactions on Information Forensics and Security 6(3-2): 1086-1098, 2011.  (CCF Rank A)
  • Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, Qiuzhen Huang, “Monitoring abnormal network traffic based on blind source separation approach”, Elsevier Journal of Network and Computer Applications 34(5): 1732-1742, 2011.  (CCF Rank B)
  • Xiaohong Guan, Tao Qin, Wei Li, Pinghui Wang, “Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring”, IEEE Transactions on Information Forensics and Security 5(4): 905-919, 2010.  (CCF Rank A)
  • Pinghui Wang, Xiaohong Guan, Tao Qin, “P2P Traffic Identification Based on the Signatures of Key Packets”, Proceedings of IEEE  CAMAD 2009.
  • Xiaohong Guan, Pinghui Wang, Tao Qin, “A New Data Streaming Method for Locating Hosts with Large Connection Degree”, Proceedings of IEEE  GLOBECOM 2009.
  • Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, “Monitoring Abnormal Traffic Flows Based on Independent Component Analysis”,  Proceedings of IEEE ICC 2009.
  • Tao Qin, Xiaohong Guan, Wei Li, Pinghui Wang, “Dynamic Features Measurement and Analysis for Large-Scale Networks”, Proceedings of IEEE  CAMAD 2008. (The IEEE CSIM 2008 Best Paper Award)
  • Pinghui Wang, Qinghua Zheng, Guolin Niu, Xiaohong Guan, and Zhongmin Cai, “Port scan detection algorithms based on statistical traffic features”, Journal on Communications 28(12), 2007. (In Chinese)
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