• 2007.09 - 2011.10: Ph.D., Hong Kong Polytechnic University
  Department of Computing
  

• 2004.09 -2007.04: M.Phil., Shanghai JiaoTong University
  Department of Computer Science & Engineering
  

• 1999.09 - 2003.07: B.E., Nanjing University of Posts & Telecommunications, Jiangsu Province
  Department of Computer Science

• 2018.04 - present: 江苏省计算机网络技术重点实验室副主任

• 2014.11 - present: CCF (China Computer Federation) Member with No. E200044148M

• 2016.10 - present: CCF 网络与数据通信专委会，委员

• 2021.09 - present: CCF 互联网专委会，委员

• 2010.01 - present: IEEE (Institute of Electrical and Electronics Engineers) Member with No. 90875507

• 2016.11 - present: ACM (Association for Computing Machinery) Member with No. 1503749

实验室关注如下科研方向 --- 网络流量大数据挖掘、网络全流量行为分析、流式数据处理、大图数据处理、网络异常行为分析、可编程网络设备等。实验室已搭建好万兆数据中心网、网络行为和日志数据集、大数据分析平台，以及Nvidia GeForce RTX3090的机器学习平台，供大家研究使用。感兴趣加入的同学请发送个人简历、项目经历和文章列表。

肖卿俊，2007年在香港理工大学攻读博士学位，2011年毕业后在美国佛罗里达大学从事博士后工作。2014年加入东南大学，目前担任副教授、博士生导师、江苏省网络技术重点实验室副主任。工作期间，在一流刊物发表论文44 篇，包括中国计算机学会CCF推荐的A类期刊/会议论文15篇，B类论文14篇。其中，第一作者论文22篇，包括12篇CCF A类论文（IEEE/ACM TON 8篇、IEEE TMC、IEEE INFOCOM 3篇）和8篇CCF B类论文（ACM TOSN、ACM SIGMETRICS、ACM MOBIHOC 2篇、IEEE ICNP、IEEE IWQoS 3篇）。2023年获评江苏省网络空间安全学会的优秀科技工作者，2022年获得江苏省“333高层次人才培养工程”第六期第三层次，在江苏省科技厅“2021江苏省科学技术奖”评选中获得一等奖（第3完成人），获得江苏省计算机学会2021年“青年科技奖”（江苏省当年7人获奖），获得中国CICC指挥与控制学会2020年“CICC科技精英奖”，获得国际计算机学会南京分部2016年科研新星奖（江苏省当年3人获奖）。

• 2024.01-2028.12: 面向网络群体行为检测的图数据流概要和属性图社区发现理论研究
  项目单位东南大学，国家自然基金面上项目 General Program Grant from National Natural Science Foundation of China (62372106)，项目主持

• 2022.12-2023.12: 未知网络攻击行为的检测技术研究
  项目单位东南大学，2022 年度 CCF-绿盟科技“鲲鹏”科研计划（编号:CCF-NSFOCUS202206），项目主持

• 2021.07-2023.06: 大规模确定性骨干网络架构及关键技术研究
  项目单位紫金山实验室，科技部国家重点研发计划项目 National Key Research and Development Plan (2020YFB1805204)，课题主持

• 2020.07-2023.06: High-speed traffic measurement and spatial-temporal behavioral analysis in software-defined networks
  项目中文名：软件定义网络中的高速流量测量和跨时空域行为分析
  Southeast University, Principle Investigator: Qingjun Xiao, funded by Science Foundation of Jiangsu Province of China (No. BK20201266).

• 2019.01-2022.12: Network streaming big data: Spatial and temporal joint processing, and performance optimization
  项目中文名：海量网络流量数据的跨时空域协同分析和性能优化研究
  Southeast University, Principle Investigator: Qingjun Xiao, funded by National Science Foundation of China (No. 61872080) , Amount: 640,000 RMB

• 2016.01-2018.12: Real-time Processing of Network Streaming Data in Temporal and Spatial Domains by Sketch Encoding and Mining
  项目中文名：基于略图挖掘的在不同时空域的网络流式数据实时处理
  Southeast University, Principle Investigator: Qingjun Xiao, funded by National Science Foundation of China (No. 61502098), Natural Science Foundation of Jiangsu Province (No. BK20150629) and China Postdoctoral Science Foundation (No. 2016M601699), Amount: 250,000 + 200,000 + 50,000 RMB

• 2024: 获得江苏省网络空间安全学会科技进步一等奖，项目题目：高速网络的全流量智能测量关键技术研发

• 2024: 获得江苏省网络空间安全学会优秀学术成果论文奖，论文题目：Accurate and O(1)-time query of per-flow cardinality in high-speed networks，作者：肖卿俊、蔡月啸、曹云鹏、陈世刚

• 2023: 在江苏省网络空间安全学会科技进步奖、优秀科技工作者、青年科技奖、优秀博/硕士学位论文奖评选中，获得优秀科技工作者称号

• 2022: 江苏省科学技术厅的“江苏省科学技术奖”评选中，项目“Tbps级全流量态势智能感知关键技术的研发及产业化”获得一等奖（第3完成人），2021-1-1-R3

• 2022: 入选2022年江苏省科技副总项目，依托江苏省易安联网络技术有限公司

• 2022: 江苏省“333高层次人才培养工程”第六期第三层次，培养管理期从2022从1月至2026年12月

• 2021: 在2021年度江苏省计算机学会科学技术奖、优秀科技工作者、青年科技奖、优博、优硕评选中，获评江苏省计算机学会青年科技奖
  

• 2020: 在中国CICC指挥与控制学会2020年“全国科技工作者日”评选中，被授予“CICC科技精英奖”称号

• 2016: Academic Rising Star award bestowed by ACM Nanjing Chapter for the entire Jiangsu province

学生获奖

• 2024: 在江苏省网络空间安全学会科技进步奖、优秀科技工作者、青年科技奖、优秀博/硕士学位论文奖评奖中，2020级入学研究生潘冠男获得江苏省网络空间安全学会的优秀硕士学位论文奖

• 2024: 研究生金子昂, 罗永杰, 李婷婷, 唐泽平, 周子集获得优秀团队奖（排名11-20），在Qianxin DataCon 2023 (big data analysis for cybersecurity) contest的互联网威胁溯源赛道中

• 2023: 三年级研究生蔡月啸、张铨炜各自获得国家奖学金，金额两万

• 2023: 在江苏省网络空间安全学会科技进步奖、优秀科技工作者、青年科技奖、优秀博/硕士学位论文奖评奖中，2019级入学研究生蔡绪元、胡雄钦获得江苏省网络空间安全学会的优秀硕士学位论文奖

• 2022: 在“Intel英特尔2022 P4中国黑客松Hackathon”比赛，研究生蔡月啸、殷广成、李逸飞的项目“基于On-vLLC Sketch的纯数据面网络流基数估算与DDoS攻击检测”项目获得中国区唯一的一等奖，金额两万。

• 2021: 在第五届未来网络发展大会组委会主办的未来之光——未来网络科技创新大赛，研究生王浩天、蔡绪元、苏豪、李逸飞获得三等奖，金额一万

• 2021: 在中国电子学会主办的第一届大学生协作学习与网络安全大赛，研究生石唱、章轶群、汤梓寅获得三等奖

• 2018: 在江苏省首届研究生网络空间安全科研创新实践大赛，研究生唐志颖、温霖、肖涵宇获得二等奖

• 2018: 在教育部科技发展中心主办的全国高校软件定义网络应用创新SDN开发大赛中，本科生郑浩、郑云川、朱一苇、吕顺、张诚天获得全国一等奖

• 操作系统概念，西尔伯莎茨编著（第七版英文影印版，高等教育出版社，2010年）或者（第九版中文版，机械工业出版社，2018年）.
  

• 操作系统课程设计

Books

• Shigang Chen, Min Chen, Qingjun Xiao, Traffic measurement for big network data, Springer International Publishing, ISBN 978-3-319-47340-6, 2017.

Patents

• 肖卿俊, 张铨炜, 蔡月啸, 基于通用略图的高速网络逐流基数和分布函数的估算方法, 专利号2023113287278, 2023.

• 肖卿俊, 胡雄钦, 基于略图结构的网络流基数在线实时估算方法, 专利号ZL202110633705.7, 2022.

Conference Papers

1. Liang Zheng, Qingjun Xiao*, Xuyuan Cai, “A universal sketch for estimating heavy hitters and per-element frequency moments in data streams with bounded deletions”, in Proc. of ACM SIGMOD (CCF A), 2024.
   

2. Qifan Zhang, Liang Zheng, Liukun He, Jiaming Zhang, Qingjun Xiao*, “Unbiasedly estimate temporal Katz centrality and identify top-K vertices in streaming graph”, in Proc. of APWebWAIM (CCF C), published by Springer in Lecture Notes in Computer Science (LNCS), 2024.

3. Guannan Pan, Yongchao Zhang, Qingjun Xiao*, “Bucket-level elastic cuckoo filter based on consistent hashing with higher memory efficiency”, in Proc. of IEEE ICNP (CCF B), 2023.

4. Hao Su, Qingjun Xiao*, “Online detection of 1D and 2D hierarchical superspreaders in high-speed networks”, in Proc. of IEEE APNet (Asia-Pacific Workshop on Networking) (CCF C), 2023.

5. Qingjun Xiao, Haotian Wang, Guannan Pan, “Accurately identify time-decaying heavy hitters by decay-aware cuckoo filter along kicking path”, in Proc. of IEEE IWQoS (CCF B), 2022. (acceptance rate 24.3%)

6. Qingjun Xiao, Xiongqin Hu, Shigang Chen, “Supporting flow-cardinality queries with O(1) time complexity in high-speed networks”, in Proc. of IEEE IWQoS (CCF B), 2021. (acceptance rate 25%)

7. Qingjun Xiao, Lin Wen, “Multi-resolution odd sketch for mining Jaccard similarities between dynamic streaming sets”, in Proc. of IEEE CSCWD (CCF C), 2021.

8. Qingjun Xiao, Zhiying Tang, Shigang Chen, “Universal online sketch for tracking heavy hitters and estimating moments of data streams”, in Proc. of IEEE INFOCOM (CCF A), 2020. (acceptance rate 19.8%)
   

9. Zhiying Tang, Qingjun Xiao*, Junzhou Luo, “A memory-compact and fast sketch for online tracking heavy hitters in a data stream,” in Proc. of ACM TURC'19 SIGCOMM China, 2019. (acceptance ratio 103/278=37%, win the BEST PAPER AWARD)

10. Qingjun Xiao, You Zhou, Shigang Chen, “Better with fewer bits: Improving the performance of cardinality estimation of large data streams”, in Proc. of IEEE INFOCOM (CCF A), Atlanta, USA, 2017. (Acceptance ratio: 20.93%, WOS:000425232200145) [Slides Download]
    

11. Qingjun Xiao, Shigang Chen, Min Chen, “Joint property estimation for multiple RFID tag sets using snapshots of variable lengths”, in Proc. of ACM MOBIHOC (CCF B)(Int. Symposium on Mobile Ad Hoc Networking & Computing), Paderborn, Germany, 2016. (Acceptance ratio: 18.7%, WOS:000390463900016)
    

12. Qingjun Xiao, Shigang Chen, Min Chen, Yian Zhou, “Temporally or spatially dispersed joint RFID estimation using snapshots of variable lengths”, in Proc. of ACM MOBIHOC (CCF B) (International Symposium on Mobile Ad Hoc Networking and Computing), HongZhou, China, 2015. (Acceptance ratio: 14.8%)
    

13. Qingjun Xiao, Shigang Chen, Min Chen, Yibei Ling, “Hyper-compact virtual estimators for big network data based on register sharing”, in Proc. of ACM SIGMETRICS (CCF B), Portland, Oregon, 2015. (Acceptance ratio: 13%)
    

14. Qingjun Xiao, Yan Qiao, Zhen Mo, Shigang Chen, Estimating the persistent spreads in high-speed networks'', in Prof. of IEEE ICNP (CCF B), North Carolina, USA, 2014. (Acceptance ratio: 20%, WOS:000392944400012)

15. Qingjun Xiao, Bin Xiao, and Shigang Chen, “Differential estimation in dynamic RFID systems”, in Proc. of IEEE INFOCOM (CCF A), Turin, Italy, April 14-19, 2013. (Main+mini acceptance ratio: 25%, WOS:000326335200067)
    

16. Qingjun Xiao, Bu Kai, Bin Xiao, “Efficient monitoring of dynamic tag populations in RFID systems”, in Proc. of IEEE/IFIP EUC (Embedded and Ubiquitous Computing), Best Paper Award, Melbourne, Australia, October 2011.
    

17. Qingjun Xiao, Bin Xiao, Jiaqing Luo, Guobin Liu, “Reliable navigation of mobile sensors in wireless sensor networks without localization service”, in Proc. of IEEE IWQoS (CCF B), Charleston, SC, USA, 2009.

Journal Papers

1. Qingjun Xiao, Shiwei Yang, Panpan Li, Kangying Li, and Lin Wen, “Multi-resolution Odd Sketch for Mining Extended Jaccard Similarity of Dynamic Streaming Sets”, IEEE TNSE (Transactions on Network Science and Engineering) (JCR Q1), 2024.

2. Qingjun Xiao, Yifei Li, Yeke Wu, “Finding Recently Persistent Flows in High-Speed Packet Streams based on Cuckoo Filter”, Elsevier Computer Networks (CCF B), Volume 237, December 2023, 110097.

3. Quanwei Zhang, Qingjun Xiao*, Yuexiao Cai, “A generic sketch for estimating super-spreaders and per-flow cardinality distribution in high-speed data streams”, Elsevier Computer Networks (CCF B), Volume 237, December 2023, 110059.

4. Qingjun Xiao, Yuexiao Cai, Yunpeng Cao, Shigang Chen, “Accurate and O(1)-Time Query of Per-Flow Cardinality in High-Speed Networks”, IEEE/ACM TON (CCF A) (Transactions on Networking), Volume 31, Issue 6, pages 2994-3009, December 2023.
   

5. Qingjun Xiao, Xuyuan Cai, Yifei Qin, Zhiying Tang, Shigang Chen, “Universal and accurate sketch for estimating heavy hitters and moments in data streams”, IEEE/ACM TON (CCF A) (Transactions on Networking), Volume 31, Issue 5, pages 1919-1934, 2023.

6. Qingjun Xiao, Shigang Chen, You Zhou, Junzhou Luo, Estimating cardinality for arbitrarily large data stream with improved memory efficiency, IEEE/ACM TON (CCF A) (Transactions on Networking), Volume: 28 , Issue: 2, April 2020. (WOS:000528838300001)

7. Qingjun Xiao, Youlin Zhang, Shigang Chen, Min Chen, Jia Liu, Guang Cheng, Junzhou Luo, Estimating cardinality of arbitrary expression of multiple tag sets in a distributed RFID system, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 27, issue 2, pp. 748-762, April 2019. (WOS:000465307500021)

8. Qingjun Xiao, Shigang Chen, Jia Liu, Guang Cheng, Junzhou Luo, A protocol for simultaneously estimating moments and popular groups in a multigroup RFID system, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 27, issue 1, pp. 143-158, Feb. 2019. (WOS:000458851600011)

9. Qingjun Xiao, Shigang Chen, You Zhou, Min Chen, Junzhou Luo, Tengli Li, Yibei Ling, Cardinality estimation for elephant flows: A compact solution based on virtual register sharing, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 25, no. 6, pp. 3738-3752, December 2017. (WOS:000418581900036)
   

10. Qingjun Xiao, Shigang Chen, Min Chen, Yian Zhou, Zhiping Cai, Junzhou Luo, Adaptive joint estimation protocol for arbitrary pair of tag sets in a distributed RFID system, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 25, no. 5, pp. 2670-2685, October 2017. (WOS:000413332100007)

11. Qingjun Xiao, Bin Xiao, Shigang Chen, Jimin Chen, Collision-aware churn estimation in large-scale dynamic RFID systems, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 25, no. 1, pp. 392-405, Feb. 2017. (WOS:000395867000030)

12. Qingjun Xiao, Bin Xiao, Bu Kai, Jiannong Cao, “Iterative localization of wireless sensor networks: An accurate and robust approach”, IEEE/ACM TON (CCF A) (Transactions on Networking), vol. 22, no. 2, pp. 608-621, April 2014. (WOS:000335821100020)
    

13. Qingjun Xiao, Kai Bu, Zhijun Wang, and Bin Xiao, “Robust localization against outliers in wireless sensor networks”, ACM TOSN (CCF B) (Transactions on Sensor Networks), vol. 9, no. 2, article 24, March 2013. (WOS:000316964400015)

14. Qingjun Xiao, Kai Bu, Bin Xiao, Limin Sun, “Efficient protocol design for dynamic tag population monitoring in large-scale RFID systems”, Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd, vol. 25, no. 14, pp. 2080-2097, 25 September 2013. (WOS:000324306500008)

15. Qingjun Xiao, Bin Xiao, Jiannong Cao, Jianping Wang, “Multihop range-free localization in anisotropic wireless sensor networks: A pattern driven scheme”, IEEE TMC (CCF A) (Transactions on Mobile Computing), vol. 9, no. 11, pp. 1592-1607, November 2010. (WOS:000281990200008)