According to our database1, Pinghui Wang authored at least 32 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Inferring Higher-Order Structure Statistics of Large Networks from Sampled Edges.
IEEE Trans. Knowl. Data Eng., 2019
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.
IEEE Trans. Knowl. Data Eng., 2018
Predicting attributes and friends of mobile users from AP-Trajectories.
Inf. Sci., 2018
Mining Long-Term Stealthy User Behaviors on High Speed Links.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage.
I/O-efficient calculation of H-group closeness centrality over disk-resident graphs.
Inf. Sci., 2017
AL-bitmap: Monitoring network traffic activity graphs on high speed links.
Inf. Sci., 2017
Mining repeating pattern in packet arrivals: Metrics, models, and applications.
Inf. Sci., 2017
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Efficiently Estimating Statistics of Points of Interests on Maps.
IEEE Trans. Knowl. Data Eng., 2016
A General Framework for Estimating Graphlet Statistics via Random Walk.
Minfer: A method of inferring motif statistics from sampled edges.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Unbiased Characterization of Node Pairs over Large Graphs.
A tale of three graphs: Sampling design on hybrid social-affiliation networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams.
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015
Efficiently Estimating Motif Statistics of Large Networks.
A New Sketch Method for Measuring Host Connection Degree Distribution.
IEEE Trans. Information Forensics and Security, 2014
A new connection degree calculation and measurement method for large scale network monitoring.
J. Network and Computer Applications, 2014
A Tale of Three Social Networks: User Activity Comparisons across Facebook, Twitter, and Foursquare.
IEEE Internet Computing, 2014
An efficient sampling method for characterizing points of interests on maps.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling.
IEEE Journal on Selected Areas in Communications, 2013
Sampling node pairs over large graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Virtual indexing based methods for estimating node connection degrees.
Computer Networks, 2012
Sampling directed graphs with random walks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
A Data Streaming Method for Monitoring Host Connection Degrees of High-Speed Links.
IEEE Trans. Information Forensics and Security, 2011
Monitoring abnormal network traffic based on blind source separation approach.
J. Network and Computer Applications, 2011
A new virtual indexing method for measuring host connection degrees.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring.
IEEE Trans. Information Forensics and Security, 2010
Monitoring Abnormal Traffic Flows Based on Independent Component Analysis.
Proceedings of IEEE International Conference on Communications, 2009
A New Data Streaming Method for Locating Hosts with Large Connection Degree.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009
P2P Traffic Identification Based on the Signatures of Key Packets.
Proceedings of the IEEE 14th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2009