湖南大学副教授，博士生导师
研究方向：物联网、云计算

作为骨干人员参与了香港科研基金（RGC），香港创新及科技基金（ITF），国家自然科学基金、国家863项目和国防基础科研项目研究。致力于创新性强的研究工作，在学科重点期刊和国际著名会议《IEEETransactionsonMobileComputing（TMC）》《IEEETransactionsonParallelandDistributedSystems（TPDS）》，《IEEETransactionsonComputers(TC)》，《TelecommunicationSystems》，IWQoS，MASS等发表高水平论文多篇。

邮箱:xuan_liu@hnu.edu.cn,
xuanliu1022@gmail.com
地址:湖南大学计算机工程系209，信息科学与工程学院。

教育背景

香港理工大学     计算机系     哲学博士  

国防科技大学    计算机学院    工学硕士    

研究方向

我们坚持在top的期刊和会议上发表创新型强，有意义的工作。

1. 物联网：

2. 移动云计算：

科研项目

1. 面向动态复杂环境的RFID高效监测技术研究，国家自然科学基金，2017.1-2019.12，主持

2. 面向大规模物联网应用的无线射频识别监测与感知方法研究，湖南省自然科学基金，2017.6-2020.6，主持

3. 高动态RFID系统中的高效标签监测与搜索方法研究，计算机软件新技术国家重点实验室，2016.6-2018.6，主持

4. 城市多网空间下软件定义物联网的移动接入机制研究，国家自然科学基金，2017.1-2019.12，参与，排名第二

5. 超级计算系统预算约束的可靠性与能耗动态融合任务调度策略，国家自然科学基金，2017.1-2019.12，参与，排名第二

6. 动态RFID系统中的新技术：问题，应用与方案，香港科研基金会（RGC）PolyU 5281/13E，2012.1 -2015.12，主研，排名第二

学术论文

期刊论文

1. Xuan Liu, Bin Xiao, Shigeng Zhang, Kai Bu, and Alvin Chan, STEP: A Time-EfficientTag Searching Protocol in Large RFID Systems, IEEE Transactions on Computers(TC),vol. 64, no. 11, pp. 3265-3277, 2015. (CCF A)

2. Xuan Liu, Shigeng Zhang, Bin Xiao, and Kai Bu, Flexible and Time-Efficient TagScanning with Handheld Readers, IEEE Transactions on Mobile Computing (TMC),vol. 15, no. 4, pp.840-852, 2-16.   (CCF A)

3. Xuan Liu, Bin Xiao, Shigeng Zhang, Kai Bu. Unknown Tag Identification in Large RFID Systems: An Efficient and Complete Solution. IEEE Transactions on Parallel andDistributed Systems (TPDS), vol. 26, no. 6, pp. 1775-1788, 2015。(CCF A)

4. Xuan Liu, Shigeng Zhang, and Kai Bu, ALocality-Based Range-Free Localization Algorithm for Anisotropic WirelessSensor Networks, Telecommunication Systems, accepted.  DOI :10.1007/s11235-015-9978-8.  (SCI)

5. KaiBu, Xuan Liu, and Bin Xiao,Approaching the Time Lower Bound on Cloned-tag Identification for Large RFIDSystems, Ad Hoc Networks , vol.13, Part B, no. 0, pp. 271-281, 2014. (SCI)

6. KaiBu, Xuan Liu, Jiaqing Luo, Bin Xiao,and Guiyi Wei, Unreconciled Collisions Uncover Cloning Attacks in AnonymousRFID Systems, IEEE Transactions on Information Forensics and Security (TIFS),vol. 8, no. 3, pp. 429-439, 2013. (SCI)

7.   Shigeng Zhang, Xuan Liu, Jianxin Wang, Jiannong Cao, Geyong Min. Accurate Range-Free Localization for Anisotropic Wireless Sensor Networks. ACM Transactions on Sensor Networks (TOSN), vol. 11, no. 3, article ID 51, pp. 1-28, 2015. (CCF B)

8.   Shigeng Zhang, Xuan Liu, Jianxin Wang, Jiannong Cao, Geyong Min. Energy-Efficient Active Tag Searching in Large Scale RFID System. Information Sciences (INS), vol. 317, pp. 143-156, 2015. (SCI)

会议论文

1.  Xuan Liu, Bin Xiao, Feng Zhu, Shigeng Zhang. Let's work together: Fast Tag Identification by Interference Elimination for Multiple RFID Readers, accepted to appear in ICNP 2016.  (CCF B, acceptance rate 20.1%)

2. Xuan Liu, Bin Xiao, Shigeng Zhang, Kai Bu. One More Hash is Enough: Efficient Tag Stocktaking in Highly Dynamic RFID Systems, ICC 2016.  (CCF C)

3. Jia Liu, Bin Xiao, Xuan Liu, and Lijun Chen, "Fast RFID Polling Protocols", in Proc. of the International Conference on Parallel Processing (ICPP 2016), Philadelphia, USA, Aug. 2016. (CCF B, acceptance rate 21.1%)

4. Feng Zhu, Bin Xiao, Jia Liu, Xuan Liu, and Lijun Chen, "PLAT: A Physical-layer Tag Searching Protocol in Large RFID Systems", in Proc. of the IEEE International  Conference on Sensing, Communication and Networking (SECON), London, UK, June 27-30, 2016. (CCF B, acceptance rate 26.3%)

5. Xuan Liu, Bin Xiao, Kai Bu, and Shigeng Zhang, LOCK: A Fast and Flexible TagScanning Mechanism with Handheld Readers, in Proc. of the 22th IEEE/ACMInternational Workshop on Quality of Service (IWQoS), Hong Kong, China, May.2014. (CCF B, acceptance rate 23.8%%)

6. Xuan Liu, Shigeng Zhang, Kai Bu, and Bin Xiao, Complete and Fast Unknown TagIdentification in Large RFID Systems, in Proc. of the 9th IEEE InternationalConference on Mobile Ad Hoc and Sensor Systems (MASS), Las Vegas, Nevada, USA,October 8-11, 2012, pp. 47-55. (CCF C)

7. Xuan Liu, Shigeng Zhang, JianxinWang, Jiannong Cao, and Bin Xiao, Anchor SupervisedDistance Estimation in Anisotropic Wireless Sensor Networks, Proc. of the IEEEWireless Communications and Networking Conference (WCNC), Quintana-Roo, Mexico,March 28-31, 2011. (CCF C)

8. KaiBu, Mingjie Xu, Xuan Liu, JiaqingLuo, and Shigeng Zhang, Toward Fast and Deterministic Clone Detection for LargeAnonymous RFID Systems, in Proc. of the 11th IEEE International Conference onMobile Ad Hoc and Sensor Systems (MASS), Philadelphia, PA, USA, October 28-30,2014.  (CCF C)

9. KaiBu, Xuan Liu, Jiwei Li, and Bin XiaoLess is More: Efficient RFID-based 3D Localization, in Proc. of the 10th IEEEInternational Conference on Mobile Ad Hoc and Sensor Systems (MASS), Hangzhou,Zhejiang, China, October 14-16, 2013, pp. 86-94. (CCF C)

10. JiweiLi, Kai Bu, Xuan Liu, and Bin Xiao,ENDA: Embracing Network In- consistency for Dynamic Application Offloading, inProc. of The Second Mobile Cloud Computing Workshop (MCC), Hong Kong, China,August 12, 2013.

11. KaiBu, Xuan Liu, and Bin Xiao,[Poster/Short Paper] Fast Cloned-Tag Identification Protocols for Large-ScaleRFID Systems, in Proc. of the 20th IEEE/ACM International Workshop on Qualityof Service (IWQoS), Coimbra, Portugal, June 4-5, 2012, pp. 1-4. (CCF B)

12. ShigengZhang, Jianxin Wang, Xuan Liu, andJiannong Cao, Range-free Selective Multilateration for Anisotropic WirelessSensor Networks, in Proc. of the 9th Annual IEEE Communications SocietyConference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), June18-21, 2012, Seoul, Korea. (CCF B)

13. JiannongCao, Weigang Wu, and Xuan Liu,Seamless Mobility support for Adaptive Applications in Heterogeneous WirelessNetworks, Proc.2010 International Workshop on Mobile Cyber-Physical Systems(MobiCPS), Xian, China. Oct. 26 C 29, 2010.

14. Yuhong Feng, Jiannong Cao, Ivan Chuen Ho Lau, and Xuan Liu, A Self-configuring PersonalAgent Platform for Pervasive Computing, Proc. 4th IEEE/IFIP InternationalConference On Embedded and Ubiquitous Computing (EUC), Shanghai, China. Dec.17C20, 2008. pp. 438-444.Best PaperAward

学生培养

期待工作认真努力的学生加入我们这个年轻有活力的研究团队。

如果你有良好的编程基础或者数学分析能力，动手能力强，对新事物有强烈好奇心，希望在国际顶级会议或者期刊发表你的成果，欢迎你加入我们团队。