李险峰 - 北京大学 - 信息工程学院

个人简介

李险峰，副教授。1995年毕业于北京理工大学计算机与控制学院，获学士学位。2005获新加坡国立大学计算机专业博士学位。2006年至2008年在北京大学从事博士后研究。2008年至今在北京大学深圳研究生院工作，2009年开始任副教授，同年获颁深圳市高层次领军人才（地方级）。现为深圳物联网智能感知技术工程实验室副主任，国家自然科学基金、深圳市科创委项目评议人，以及多个国际学术会议程序委员。近年来，承担一项国家自然科学基金项目，四项深圳市基础研究计划项目，一项产学研合作项目，并作为主要成员参与了多项国家级重点科研项目，包括国家“863”计划重点项目与“核高基”重大专项（高端芯片方向）。在相关领域已发表论文40余篇。部分研究成果已作为开放源代码工具发布，并被国际同行在教学与科研中采用。近年来从事的研究的课题包括： 1）面向人工智能/大数据/移动Web计算的高性能软硬件协同设计； 2）移动物联网/无人机群自组织网络； 3）软件定义网络SDN高速转发平面与网络测量技术研究。教学工作 1. 高等计算机体系结构 2. 嵌入式操作系统/Android核心技术与原理 3. 软硬件协同设计技术 4. 高等计算机网络（客座讲授） 5. Python编程基础与数据分析技术（客座讲授）目前承担的主要科研项目： 1. “暗硅条件下的应用加速软硬件协同技术研究”，深圳市科技计划项目（基础研究类），JCYJ20170818090006804，2018.04-2020.04（项目负责人）； 2.“无人机群自组织网络基础技术研究”，深圳市科技计划项目（基础研究类），JCYJ20150629144717142,2015.10-2017.10（项目负责人）； 3. “智能电视新型开放系统平台与多终端耦合人机交互技术研究”，深圳市科技计划项目（协同创新类），JCYJ20130331144751105，2013-8-2015.8，（项目负责人）； 4.“面向核心路由器的众核网络处理器基础架构研究”，深圳市互联网产业发展专项资金基础研究（杰青项目），JC201005270274A，2011.5 - 2014.4，（项目负责人）； 5.“协议无关的SDN转发芯片架构研究”，中心通讯产学研论坛项目，2015.1 - 2016.6，（项目负责人）； 6.“实时嵌入式系统能耗有效性分析与调度技术研究”，国家自然科学基金，2008.1 - 2010.12，（项目负责人）； 7.“深圳物联网智能感知技术工程实验室建设专项”，深圳市发改委，2012.10-2015.9，（项目副组长）； 8.“自主指令系统CPU”，“核高基”国家科技重大专项通用芯片方向，2009.11-2011.10，（项目主要成员）。

研究领域

1. 嵌入式系统与软硬件协同设计；2. 高性能网络包处理； 3. 移动物联网技术。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1]Li, Wenjun, Li, Xianfeng, Li, Hui, and Xie, Gaogang, “CutSplit: A Decesion-Tree Combining Cutting and Splitting for Scalable Packet Classification,” presented at the IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, Hawaii, USA, 2018, pp. 1–9. [2]Li, Xianfeng and Chen, Jie, “An Efficient Framework for Target Search with Cooperative UAVs in a FANET,” presented at the 2017 IEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Guangzhou, China, 2017, pp. 306–313. [3]X. Li and J. Huang, “ABPP: An Adaptive Beacon Scheme for Geographic Routing in FANET,” IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2017, pp. 293–299. [4]X. Li, T. Zhang, and J. Li, “A Particle Swarm Mobility Model for Flying Ad Hoc Networks,” in GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017, pp. 1–6. [5]X. Li and J. Yan, “LEPR: Link Stability Estimation-based Preemptive Routing protocol for Flying Ad Hoc Networks,” in 2017 IEEE Symposium on Computers and Communications (ISCC), 2017, pp. 1079–1084. [6]X. Li and W. Xie, “CRAFT: A Cache Reduction Architecture for Flow Tables in Software-Defined Networks,” in 2017 IEEE Symposium on Computers and Communications (ISCC), 2017, pp. 967–972. [7]W. Li, X. Li, and H. Li, “MEET-IP: Memory and Energy Efficient TCAM-Based IP Lookup,” in 2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017, pp. 1–8. [8]Xianfeng Li and Guikang Chen, “Energy-Efficient Execution for Repetitive App Usage Scenarios on big.LITTLE Architectures,” presented at the ACM/IEEE Design Automation Conference (DAC), Austin,, USA, 2017, pp. 156–161. [9]Qin, Shaohua and Li, Xianfeng, “An Efficient Framework for Probabilistic Search with Multi-UAVs,” presented at the The 5th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2017), 2017, pp. 157–163. [10]Z. Bao and X. Li, “A comprehensive performance study of HTML5-enabled WebApps,” International Journal of Embedded Systems (IJES), vol. 9, no. 2, p. 119, 2017. [11]X. Li and Y. Lin, “TaPaC: A TCAM-Assisted Algorithmic Packet Classification with Bounded Worst-Case Performance,” in 2016 IEEE Global Communications Conference (GLOBECOM), 2016, pp. 1–6. [12]X. Li and T. Zhang, “STGM: A Spatiotemporally Correlated Group Mobility Model for Flying Ad Hoc Networks,” in China Communications and Networking, 2016 (ChinaCom), pp. 391–400.(Best Paper Award) [13]X. Li, Y. Lin, and W. Li, “GreenTCAM: A memory- and energy-efficient TCAM-based packet classification,” in 2016 International Conference on Computing, Networking and Communications (ICNC), 2016, pp. 1–6. [14]X. Li, W. Wen, and X. Wang, “Usage History-Directed Power Management for Smartphones,” in Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part I, G. Wang, A. Zomaya, G. Martinez Perez, and K. Li, Eds. Cham: Springer International Publishing, 2015, pp. 288–302. [15]X. Li and B. Jin, “Performance Evaluation and Optimization of Wi-Fi Display on Android,” in Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV, G. Wang, A. Zomaya, G. Martinez Perez, and K. Li, Eds. Cham: Springer International Publishing, 2015, pp. 204–215. [16]T. Zhang, X. Li, and R.-Z. Guo, “Producing virtual face images for single sample face recognition,” Optik - International Journal for Light and Electron Optics, vol. 125, no. 17, pp. 5017–5024, Sep. 2014. [17]X. Wang, X. Li, and W. Wen, “WLCleaner: Reducing Energy Waste Caused by WakeLock Bugs at Runtime,” in 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC), 2014, pp. 429–434. [18]R. Shen, X. Li, and H. Li, “A space- and power-efficient multi-match packet classification technique combining TCAMs and SRAMs,” J Supercomput, vol. 69, no. 2, pp. 673–692, Jan. 2014. [19]T. Zhang and X. Li, “Evaluating and Analyzing the Performance of RPL in Contiki,” in Proceedings of the First International Workshop on Mobile Sensing, Computing and Communication, New York, NY, USA, 2014, pp. 19–24. [20]Z. Ruan, X. Li, and W. Li, “An energy-efficient TCAM-based packet classification with decision-tree mapping,” in TENCON 2013 - 2013 IEEE Region 10 Conference (31194), 2013, pp. 1–5. [21]W. Li and X. Li, “Scalable packet classification using hybrid and dynamic cuttings,” in TENCON 2013 - 2013 IEEE Region 10 Conference (31194), 2013, pp. 1–5. [22]W. Li and X. Li, “HybridCuts: A Scheme Combining Decomposition and Cutting for Packet Classification,” in 2013 IEEE 21st Annual Symposium on High-Performance Interconnects (HOTI), 2013, pp. 41–48.