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Wang Pinghui
phwang@mail.xjtu.edu.cn

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 the 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 (* denotes the corresponding author）

• Rui Li, Zhinan Cheng, Patrick P. C. Lee, Pinghui Wang*, Yi Qiang, Lin Lan, Cheng He, Jinlong Lu, Mian Wang and Xinquan Ding. “Automated Intelligent Healing in Cloud-Scale Data Centers”. Accepted for SRDS 2021. (CCF Rank B)
• Junzhou Zhao, Pinghui Wang*, Chao Deng, Jing Tao. “Temporal Biased Streaming Submodular Optimization”. Accepted for SIGKDD 2021. (CCF Rank A)
• Runze Lei, Pinghui Wang*, Rundong Li, Peng Jia, Junzhou Zhao, Xiaohong Guan, Chao Deng. “Fast Rotation Kernel Density Estimation over Data Streams”. Accepted for SIGKDD 2021. (CCF Rank A)
• Feiyang Sun, Pinghui Wang*, Junzhou Zhao, Nuo Xu, Juxiang Zeng, Jing Tao, Kaikai Song, Chao Deng, John C.S. Lui, Xiaohong Guan. “Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns”. Accepted for IEEE Transactions on Mobile Computing. (CCF Rank A) (the dataset available upon request)
• Rundong Li, Pinghui Wang*, Peng Jia, Xiangliang Zhang, Jing Tao, Ye Yuan, Xiaohong Guan. “Approximately Counting Butterflies in Large Bipartite Graph Streams”. Accepted for IEEE Transactions on Knowledge and Data Engineering. (CCF Rank A)
• Peng Jia, Pinghui Wang*, Junzhou Zhao, Ye Yuan, Jing Tao, Xiaohong Guan. “LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams”. Accepted for ICDE 2021. (CCF Rank A)
• Peng Jia, Pinghui Wang*, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan. “Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams”. Accepted for IEEE Transactions on Knowledge and Data Engineering. (CCF Rank A)
• Rundong Li, Pinghui Wang*, Jiongli Zhu, Junzhou Zhao, Jia Di, Xiaofei Yang, Kai Ye. “Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying”. Accepted for SIGMOD 2021. (CCF Rank A)
• Peng Jia, Pinghui Wang*, Junzhou Zhao, Shuo Zhang, Yiyan Qi, Min Hu, Chao Deng, Xiaohong Guan. “Bidirectionally Densifying LSH Sketches with Empty Bins”. Accepted for SIGMOD 2021. (CCF Rank A)
• Shuo Zhang, Junzhou Zhao*, Pinghui Wang*, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, and Junlan Feng. “Learning to Check Contract Inconsistencies”. Accepted for AAAI 2021. (CCF Rank A)
• Yuanming Zhang, Jing Tao, Shuo Zhang, Yuchao Zhang, Pinghui Wang. “A machine learning based approach for user privacy preservation in social networks”. Peer-to-Peer Networking and Applications, 2021.
• Junzhou Zhao, Pinghui Wang*, Zhouguo Chen, Jianwei Ding, John C.S. Lui, Don Towsley, Xiaohong Guan. “Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Graph Streams”. Accepted for KAIS 2020. (CCF Rank B)
• Changyu Wang, Kevin Chang, Pinghui Wang*, Tao Qin, and Xiaohong Guan. “Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation”. Accepted for IEEE Transactions on Knowledge and Data Engineering, 2020. (CCF Rank A)
• Changyu Wang, Xiaohong Guan, Tao Qin, Pinghui Wang, Jing Tao, Yongwei Meng, Jingyuan Liu. “Addressing the train-test gap on traffic classification combined subflow model with ensemble learning”. Knowledge-Based Systems, 204: 106192, 2020.
• Lin Lan, Pinghui Wang*, Xuefeng Du, Kaikai Song, Jing Tao, and Xiaohong Guan. “Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding”. Accepted for NeurIPS, 2020. (CCF Rank A)
• Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, and Xiaohong Guan. “Towards Understanding the Instability of
  Network Embedding”. Accepted for IEEE Transactions on Knowledge and Data Engineering, 2020. (CCF Rank A)
• Nuo Xu, Pinghui Wang*, Long Chen, Li Pan, Xiaoyan Wang and Junzhou Zhao. “Distinguish Confusing Law Articles for Legal Judgment Prediction”. Accepted for ACL 2020, Long paper. (CCF Rank A)
• Peng Jia, Pinghui Wang*, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, and Don Towsley. “Accurately Estimating User Cardinalities and Detecting Super Spreaders over Time”. Accepted for IEEE Transactions on Knowledge and Data Engineering, 2020. (CCF Rank A)
• Junzhou Zhao, Pinghui Wang*, Jing Tao, Shuo Zhang, John C.S. Lui. “Continuously Tracking Core Items in Data Streams with Probabilistic Decays”. Accepted for ICDE 2020. (CCF Rank A)
• Yiyan Qi, Pinghui Wang*, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, John C.S. Lui, and Xiaohong Guan. “Streaming Algorithms for Estimating High Set Similarities in LogLog Space”. Accepted for IEEE Transactions on Knowledge and Data Engineering, 2020. (CCF Rank A)
• Yiyan Qi, Pinghui Wang*, Yuanming Zhang, Junzhou Zhao, Guangjian Tian and Xiaohong Guan. “Fast Generating A Large Number of Gumbel-Max Variables”. Accepted for TheWebConf (or WWW) 2020, Full Oral Paper, (CCF Rank A, acceptance rate: 217/1129 = 19%) (link on axiv)
• Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Marcus Kalander, Junjian Ye, Pinghui Wang. “Proactive Microwave Link Anomaly Detection in Cellular Data Networks”. Accepted for Elsevier Computer Networks, 2019.  (CCF Rank B)
• Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang*. “Discriminative Streaming Network Embedding”. Accepted for Knowledge-Based Systems, 2019.
• Lin Lan, Pinghui Wang*, Junzhou Zhao, Jing Tao, John C.S. Lui, Xiaohong Guan. “Improving Network Embedding with Partially Available Vertex and Edge Content”. Accepted for Information Sciences, 2019. (CCF Rank B)
• Juxiang Zeng, Pinghui Wang*, Qiqi Zhao, Jianye Pang, Jing Tao, Xiaohong Guan. “Effectively Linking Persons on Cameras and Mobile Devices on Networks”. Accepted for IEEE Internet Computing‘s special issue: SI: July/Aug 2019 – Live Video Analytics.
• Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang*. “Meta Reinforcement Learning with Task Embedding and Shared Policy”. Accepted for IJCAI 2019.  (CCF Rank A, acceptance rate: 850/4752 = 17.8%)
• Nuo Xu, Pinghui Wang*, Long Chen, Jing Tao, Junzhou Zhao. “MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions”. Accepted for  IJCAI 2019.  (CCF Rank A, acceptance rate: 850/4752 = 17.8%)
• Tao Qin, Zhaoli Liu, Pinghui Wang*, Shancang Li, Lixin Gao. “Symmetry Degree Measurement and Its Applications to Anomaly Detection”. Accepted for  IEEE Transactions on Information Forensics and Security.  (CCF Rank A)
• Pinghui Wang, Yiyan Qi, Yuanming Zhang, Chenxu Wang, Qiaozhu Zhai, Xiaohong Guan, John C.S. Lui. “A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets”. Accepted as an oral research track paper of SIGKDD, 2019. (CCF Rank A, acceptance rate of oral research track papers: 110/1200 = 9.2%)
• Na Li, Zhengjie Fan, Chuanzhou Hao, Pinghui Wang, Jing Tao, Jie Lin. “An Algorithm for Building Tag Systems Based on Semantic Feature Analysis”. Accepted for Journal of Xi’an Jiaotong University, 2019 (In Chinese).
• Pinghui Wang, Xiangyu Wang, Jing Tao, Peng Zhang, Xiaohong Guan. “Continuously Distinct Sampling over Centralized and Distributed High Speed Data Streams”. IEEE Transactions on Parallel and Distributed Systems  30(2):300-314,2019. (CCF Rank A)
• 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”. IEEE Transactions on Knowledge and Data Engineering 31(1):61-74,2019. (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)
• Junzhou Zhao, Pinghui Wang, John C.S. Lui. “Optimizing Node Discovery on Networks: Problem Definitions, Fast Algorithms, and Observations”. Information Sciences 477: 161-185, 2019. (CCF Rank B)
• Fabricio Murai, Bruno Ribeiro, Don Towsley, and Pinghui Wang. “Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps”. ACM Transactions on Knowledge Discovery from Data, 13(1), 2019. (CCF Rank B)
• Junzhou Zhao, Shuo Shang, Xiangliang Zhang, Pinghui Wang, John C.S. Lui. “Submodular Optimization Over Streams with Inhomogeneous Decays”. Accepted for AAAI 2019. (CCF Rank A)
• Peng Jia, Pinghui Wang*, Jing Tao, Xiaohong Guan. “A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams”. Accepted for ICDE 2019, 4-page short paper. (CCF Rank A)
• Pinghui Wang, Peng Jia, Qi Yiyan, Sun Yu, Jing Tao, Xiaohong Guan. “REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel”. Accepted for ICDE 2019. (CCF Rank A)
• Pinghui Wang, Peng Jia, Xiangliang Zhang, Jing Tao, Xiaohong Guan, Don Towsley. “Utilizing Dynamic Properties of Virtual Sketches to Accurately Estimate User Cardinalities over Time”. Accepted for ICDE 2019. (CCF Rank A)
• Junzhou Zhao, Xiangliang Zhang, Shuo Shang, Pinghui Wang, John C.S. Lui. “Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks”. Accepted for ICDE 2019. (CCF Rank A)
• Yuanming Zhang, Shuo Zhang, Yuchao Zhang, Jing Tao, Pinghui Wang, John C.S. Lui. “A Large-Scale Empirical Study of Internet Users’ Privacy Leakage in China”.  IEEE BigCyberSecurity2019.
• Pinghui Wang, Peng Jia, Jing Tao, Xiaohong Guan. “Detecting a Variety of Long-Term Stealthy User Behaviors on High Speed Links”. Accepted for IEEE Transactions on Knowledge and Data Engineering 2018. (CCF Rank A)
• Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Jing Tao, Xiaohong Guan. “SNOD: A Fast Sampling Method of Exploring Node Orbit Degrees for Large Graphs”. Accepted for KAIS 2018. (CCF Rank B)
• Junzhou Zhao, Pinghui Wang*, John C. S. Lui, Don Towsley, Xiaohong Guan. “Sampling Online Social Networks by Random Walk with Indirect Jumps”. Accepted for DAMI (Data Mining and Knowledge Discovery) 2018. (CCF Rank B)
• Pinghui Wang, Feiyang Sun, Jing Tao, Xiaohong Guan, Albert Bifet. “Predicting Attributes and Friends of Mobile Users From AP-Trajectories”. Accepted for Information Sciences 2018. (CCF Rank B)
• Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, Xiaohong Guan. “Fast Crawling Methods of Exploring Content Distributed Over Large Graphs”. Accepted for KAIS 2018. (CCF Rank B)
• Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C.S. Lui, Don Towsley, and Xiaohong Guan. “Practical Characterization of Large Networks Using Neighborhood Information”. Accepted for KAIS 2018. (CCF Rank B)
• 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 (Extended Abstract)”. Proceedings of IEEE ICDE 2018 (TKDE invited poster), 2 pages.
• Pinghui Wang, Peng Jia, Jing Tao, and Xiaohong Guan. “Mining Long-Term Stealthy User Behaviors on High Speed Links”. Accepted for INFOCOM 2018. (CCF Rank A)
• Pinghui Wang, Yiyan Qi, Yu Sun, Xiangliang Zhang, Jing Tao, and Xiaohong Guan. “Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage”.  VLDB 2018. (CCF Rank A)
• 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”. [paper][arxiv][code] IEEE Transactions on Knowledge and Data Engineering 30(1): 73-86, 2018. (CCF Rank A)
• Jing Tao, Pinghui Wang*, Xiaohong Guan, and Wenjun Hu. “AL-bitmap: Monitoring Network Traffic Activity Graphs on High Speed Links”. Information Sciences, 408: 162-175, 2017. (CCF Rank B)
• Jianfeng Li, Xiaobo Ma, Junjie Zhang, Jing Tao, Pinghui Wang, and Xiaohong Guan. “Mining Repeating Pattern in Packet Arrivals: Metrics, Models, and Applications”. Information Sciences, 408: 1-22, 2017. (CCF Rank B)
• 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”. Information Sciences 400: 105-128, 2017. (CCF Rank B)
• 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”. Alternative Research Track at WWW 2017.
• Xiaowei Chen, Yongkun Li, Pinghui Wang, and John C.S. Lui. “A General Framework for Estimating Graphlet Statistics via Random Walk”.   VLDB 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.
• 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.
• 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, “Users’ Behavior Character Analysis and Classification Approaches in Enterprise Networks”,  Proceedings of IEEE ICIS 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)