王平輝(西安交通大學自動化科學與工程學院教授、博士生導師):研究方向,人物經歷,學

王平輝，博士，西安交通大學自動化科學與工程學院教授、博士生導師，國家級青年人才，西安交通大學“青年拔尖人才A類”。

主要研究領域為機器學習與數據挖掘、自然語言處理、移動網際網路安全、網路圖數據挖掘與知識發現、網路故障分析與診斷、高速網路流量測量與監控、大網路圖數據分析處理、線上社會網路測量。

基本介紹

中文名：王平輝
畢業院校：西安交通大學
學位/學歷：博士
職業：教師
專業方向：機器學習與數據挖掘、自然語言處理、移動網際網路安全、網路圖數據挖掘與知識發現、網路故障分析與診斷、高速網路流量測量與監控、大網路圖數據分析處理、線上社會網路測量
任職院校：西安交通大學自動化科學與工程學院

研究方向,人物經歷,學習經歷,工作經歷,畢業生去向,2022年,2021年,2020年,2019年,2018年,2017年,科研項目,文章發表,

研究方向

機器學習與數據挖掘

自然語言處理

移動網際網路安全

網路圖數據挖掘與知識發現

網路故障分析與診斷

高速網路流量測量與監控

大網路圖數據分析處理

線上社會網路測量

人物經歷

學習經歷

2006.09-2012.03 西安交通大學，博士研究生

2009.09-2010.09 美國University of Massachusetts Amherst，訪問學生

2002.09-2006.06 西安交通大學，教改班，本科

工作經歷

2019.05-至今西安交通大學教授，博士生導師

2015.04-2019.05 西安交通大學特聘研究員，博士生導師

2014.01-2015.03 華為公司香港大數據技術實驗室Noah’s Ark Lab，研究員

2012.11-2013.10 加拿大麥吉爾大學計算機學院，博士後

2012.04-2012-10 香港中文大學計算機工程與科學系，博士後

畢業生去向

2022年

博士賈鵬（CCF A類論文10篇，國家獎學金、阿里實習生）=＞華為西安研究所（入選“華為天才少年計畫”）

博士孫飛揚（西安交大最具影響力期刊論文2篇，國家獎學金，與管曉宏院士、香港中文大學John C.S. Lui教授聯合指導）=＞華為西安研究所（入選“華為天才少年計畫”）

博士蘭林（CCF A類論文2篇，與管曉宏院士聯合指導）=＞華為西安研究所（special offer）

2021年

博士王昌鈺（西安交大最具影響力期刊論文3篇，CCF A類論文1篇，與管曉宏院士聯合指導）=＞ 京東管培生

博士齊逸岩（CCF A類論文6篇，國家獎學金、騰訊實習生，新加坡國立大學訪問學生）=＞騰訊

碩士程騰浪 =＞華為

碩士常躍 =＞滴滴

碩士陳龍（阿里實習生） =＞文遠智行

2020年

碩士王翔宇（CCF A類論文1篇，國家獎學金，騰訊、阿里實習生）=＞華為(Special Offer)

碩士侯永博 =＞貝殼網

2019年

碩士胡小雨（與管曉宏院士聯合指導）=＞百度

碩士曹宇 =＞中國農業銀行

2018年

碩士李娜 =＞美團

2017年

碩士陳雅靜（與管曉宏院士聯合指導）=＞百度

科研項目

2019年國家自然科學基金委優秀青年基金項目“網路模式發現與分析”， 120萬，主持

2018年國家重點研發計畫項目課題“基於案卷語義分析的審判質量多粒度評估技術”，286萬，主持

2016年國家自然科學基金青年項目“大規模網路子圖模式快速挖掘方法研究”，21萬，主持

2018年“人工智慧”教育部-中國移動建設項目，750萬，主持

2016年教育部-中國移動科研基金項目“基於深度學習技術的並行訓練最佳化算法研究”，90萬，主持

2015年教育部-中國移動科研基金項目“面向線上服務的電信網路大數據套用”，50萬，主持

2019年華為項目“基於圖卷積XXXXXXX技術項目”，主持

2017年CCF-騰訊犀牛鳥創意基金項目，主持

2015年華為項目“APKXXXXXXX技術項目”，主持

文章發表

Shuo Zhang, Junzhou Zhao*, Pinghui Wang*, Yu Li, Yi Huang, and Junlan Feng. “Think Before You Speak”: Improving Multi-action Dialog Policy by Planning Single-Action Dialogs. Accepted for IJCAI 2022. (中國計算機學會A類會議)
Juxiang Zeng, Pinghui Wang*, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu and Xiaohong Guan. "Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs". Accepted for ICDE 2022. (中國計算機學會A類會議)
Changyu Wang, Pinghui Wang*, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang. "SocialSift: Target Query Discovery on Online Social Media with Deep Reinforcement Learning". Accepted for IEEE Transactions on Neural Networks and Learning Systems.
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. (中國計算機學會B類會議)
Junzhou Zhao, Pinghui Wang*, Chao Deng, Jing Tao. “Temporal Biased Streaming Submodular Optimization”. Accepted for SIGKDD 2021. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊) (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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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.
王悅, 王平輝, 許諾, 陳龍, 楊鵬, 吳用. "面向案件審判難度預測的神經網路模型研究". 計算機科學與探索, 2021.
呂昕遠, 王平輝, 邢舒明, 張宇超, 王斌, 叢鵬宇. "深度學習容器雲平台下的GPU動態分配系統". NDBC, 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. (中國計算機學會B類期刊)
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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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, (中國計算機學會A類會議, 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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會A類會議, 錄稿率: 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. (中國計算機學會A類會議, 錄稿率: 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. (中國計算機學會A類期刊)
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. (中國計算機學會A類會議, oral research track 論文錄稿率：110/1200 = 9.2%)
李娜, 范正潔, 郝傳洲, 王平輝, 陶敬, 林傑. "採用語義分析的標籤體系構建方法". 西安交通大學學報, 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. (中國計算機學會A類期刊)
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. (中國計算機學會A類期刊. 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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
Junzhou Zhao, Shuo Shang, Xiangliang Zhang, Pinghui Wang, John C.S. Lui. "Submodular Optimization Over Streams with Inhomogeneous Decays". Accepted for AAAI 2019. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會B類期刊)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
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. (中國計算機學會B類期刊, 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. (中國計算機學會B類期刊, 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. (中國計算機學會B類期刊, 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. (中國計算機學會A類會議)
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. (中國計算機學會A類會議)
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. (中國計算機學會A類期刊. 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. (中國計算機學會A類會議)
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. (中國計算機學會B類期刊. 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. (中國計算機學會B類期刊)
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. (中國計算機學會A類期刊)
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.(中國計算機學會A類會議)
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. (中國計算機學會A類期刊)
Pinghui Wang, Junzhou Zhao, John C.S. Lui, Don Towsley, and Xiaohong Guan, “Sampling Node Pairs Over Large Graphs”, Proceedings of IEEE ICDE 2013. (中國計算機學會A類會議)
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. (中國計算機學會B類期刊)
Bruno Ribeiro, Pinghui Wang, Fabricio Murai, and Don Towsley, “Sampling Directed Graphs with Random Walks”, Proceedings ofIEEE INFOCOM 2012. (中國計算機學會A類會議)
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. (中國計算機學會A類會議.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. (中國計算機學會A類期刊)
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. (中國計算機學會A類期刊)
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)

王平輝(西安交通大學自動化科學與工程學院教授、博士生導師)