王平辉 (中文个人主页)

May 4th, 2020

王平辉 博士生导师,教授
国家级人才项目获得者
phwang@mail.xjtu.edu.cn

西安交通大学
电子与信息工程学院
自动化科学与技术系-系统工程研究所
智能网络与网络安全教育部重点实验室
西安,中国,710049

招募实习生&研究生
欢迎优秀同学加入!

研究兴趣
移动互联网安全
网络图数据挖掘与知识发现
网络故障分析与诊断
高速网络流量测量与监控
大网络图数据分析处理
在线社会网络测量

工作经历
2019.05-至今 西安交通大学 教授,博士生导师
2015.04-2019.05 西安交通大学 特聘研究员,博士生导师
2014.01-2015.03 华为公司 香港大数据技术实验室Noah’s Ark Lab,研究员
2012.11-2013.10 加拿大麦吉尔大学计算机学院,博士后
2012.04-2012-10 香港中文大学计算机工程与科学系,博士后

学习经历
2006.09-2012.03 西安交通大学,博士研究生
2009.09-2010.09 美国University of Massachusetts Amherst,访问学生
2002.09-2006.06 西安交通大学,教改班,本科

在读博士生
孙飞扬(西安交大最具影响力期刊论文1篇,国家奖学金,与管晓宏院士、香港中文大学John C.S. Lui教授联合指导)
兰林(CCF A类论文1篇,与管晓宏院士联合指导)
曾菊香(西安交大最具影响力期刊论文1篇,与管晓宏院士联合指导)
齐逸岩 (CCF A类论文6篇,腾讯实习生,新加坡国立大学访问学生)
贾鹏 (CCF A类论文6篇,国家奖学金)
许诺 (CCF A类论文2篇)
张远鸣 (CCF A类论文2篇)

在读硕士生
王翔宇 (CCF A类论文1篇,国家奖学金,腾讯、阿里实习生)
程腾浪
李润东
常跃
陈龙
张朔(与陶敬老师联合指导)
王悦(与陶敬老师联合指导)

毕业生去向
2019年毕业生
胡小雨(与管晓宏院士联合指导)=> 百度
曹宇(与陶敬老师联合指导)=> 中国农业银行
赵琪琪(与陶敬老师联合指导)=> 阿里

2018年毕业生
硕士 李娜 => 美团
硕士 王迪(与陶敬老师联合指导)=> 华为成都
硕士 张博(与陶敬老师联合指导)=> 微众银行

2017年毕业生
硕士 陈雅静(与管晓宏院士联合指导)=> 百度
硕士 梁肖(与陶敬老师联合指导)=> 腾讯

科研项目
2019年国家自然科学基金委优秀青年基金项目“网络模式发现与分析”, 120万,主持
2018年国家重点研发计划项目课题“基于案卷语义分析的审判质量多粒度评估技术”,286万,主持
2016年国家自然科学基金青年项目“大规模网络子图模式快速挖掘方法研究”,21万,主持
2018年“人工智能”教育部-中国移动建设项目,750万,主持
2016年教育部-中国移动科研基金项目“基于深度学习技术的并行训练优化算法研究”,90万,主持
2015年教育部-中国移动科研基金项目“面向在线服务的电信网络大数据应用”,50万,主持
2019年华为项目“基于图卷积XXXXXXX技术项目”,主持
2017年CCF-腾讯犀牛鸟创意基金项目, 主持
2015年华为项目“APKXXXXXXX技术项目”,主持

文章发表 (*表示通信作者)

  • 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. (中国计算机学会A类期刊)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类期刊)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类期刊)
  • 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, (中国计算机学会A类会议, 接收率: 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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.  (中国计算机学会A类会议, 录稿率: 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.  (中国计算机学会A类会议, 录稿率: 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.  (中国计算机学会A类期刊)
  • 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. (中国计算机学会A类会议, oral research track 论文录稿率:110/1200 = 9.2%)
  • 李娜, 范正洁, 郝传洲, 王平辉, 陶敬, 林杰. “采用语义分析的标签体系构建方法”. 西安交通大学学报, 2019.
  • 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. (中国计算机学会A类期刊)
  • 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. (中国计算机学会A类期刊. 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. (中国计算机学会B类期刊)
  • 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), 2018. (中国计算机学会B类期刊)
  • Junzhou Zhao, Shuo Shang, Xiangliang Zhang, Pinghui Wang, John C.S. Lui. “Submodular Optimization Over Streams with Inhomogeneous Decays”. Accepted for AAAI 2019. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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][codeIEEE Transactions on Knowledge and Data Engineering  30(1): 73-86, 2018. (中国计算机学会A类期刊)
  • 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. (中国计算机学会B类期刊, Impact Factor: 3.364)
  • 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. (中国计算机学会B类期刊, Impact Factor: 3.364)
  • 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. (中国计算机学会B类期刊, Impact Factor: 3.364)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会A类期刊. 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. (中国计算机学会A类会议)
  • 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. (中国计算机学会B类期刊. 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. (中国计算机学会B类期刊)
  • 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. (中国计算机学会A类期刊)
  • 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 ofIEEE ICDE 2014.(中国计算机学会A类会议)
  • 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. (中国计算机学会A类期刊)
  • Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan, “Sampling Node Pairs Over Large Graphs”, Proceedings of IEEE ICDE 2013.  (中国计算机学会A类会议)
  • 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.  (中国计算机学会B类期刊)
  • Bruno Ribeiro, Pinghui Wang, Fabricio Murai, and Don Towsley, “Sampling Directed Graphs with Random Walks”, Proceedings ofIEEE INFOCOM 2012.  (中国计算机学会A类会议)
  • 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.  (中国计算机学会A类会议. 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.  (中国计算机学会A类期刊)
  • 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.  (中国计算机学会A类期刊)
  • Pinghui Wang, Xiaohong Guan, Tao Qin, “P2P Traffic Identification Based on the Signatures of Key Packets”, Proceedings of IEEE  CAMAD2009.
  • 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)
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