基本信息
李佟  男  硕导  中国科学院信息工程研究所
电子邮件: litong@iie.ac.cn
通信地址: 北京市海淀区杏石口路益园文化创意产业园C1北段
邮政编码:

招生信息

   
招生专业
081201-计算机系统结构
0812Z1-信息安全
招生方向
网络和计算机体系结构
网络测量与行为分析
云原生网络及安全

教育背景

2013-07--2017-07   中国科学院大学   博士
2002-09--2005-07   北京师范大学   硕士

工作经历

   
工作简历
2015-03~现在, 中科院信息工程研究所, 高级工程师
2005-07~2016-02,中科院计算机网络信息中心, 高级工程师

出版信息

   
发表论文
[1] 徐英瑞, 胡静远, 葛敬国, 吴玉磊, 李佟, 李辉. Contrastive Learning at the Relation and Event Level for Rumor Detection. ICASSP 2023null. 2023, [2] Jiang Zhaoxue, Li Tong, Zhang Zhenguo, Ge Jingguo, You Junling, Li Liangxiong. A Survey On Log Research Of AIOps: Methods and Trends. MOBILE NETWORKS & APPLICATIONS. 2022, [3] Jiang Zhaoxue, Li Tong, Zhang Zhenguo, Ge Jingguo, You Junling, Li Liangxiong. A Survey On Log Research Of AIOps: Methods and Trends. MOBILE NETWORKS & APPLICATIONS[J]. 2021, 26(6): 2353-2364, http://dx.doi.org/10.1007/s11036-021-01832-3.
[4] Cheng, Jin, Wu, Yulei, Yuepeng, E, You, Junling, Li, Tong, Li, Hui, Ge, Jingguo. MATEC: A lightweight neural network for online encrypted traffic classification. COMPUTER NETWORKS[J]. 2021, 199: http://dx.doi.org/10.1016/j.comnet.2021.108472.
[5] Liu, Xun, You, Junling, Wu, Yulei, Li, Tong, Li, Liangxiong, Zhang, Zheyuan, Ge, Jingguo. Attention-based bidirectional GRU networks for efficient HTTPS traffic classification. INFORMATION SCIENCES[J]. 2020, 541: 297-315, http://dx.doi.org/10.1016/j.ins.2020.05.035.
[6] 李佟. Mining DApp Repositories: Towards In-Depth Comprehension and Accurate Classification. SEKE. 2020, [7] Yan, Zhongxia, Ge, Jingguo, Wu, Yulei, Li, Liangxiong, Li, Tong. Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS[J]. 2020, 38(6): 1040-1057, http://dx.doi.org/10.1109/JSAC.2020.2986662.
[8] 李佟. Attention-Based Bidirectional GRU Networks for Efficient HTTPS Traffic Classification. Information Sciences. 2020, [9] Lin, Yeming, Zhang, Yunjian, Li, Tong, Ge, Jingguo, ACM. Residual-based Fast Single Image Fog Removal. ICVIP 2019: PROCEEDINGS OF 2019 3RD INTERNATIONAL CONFERENCE ON VIDEO AND IMAGE PROCESSINGnull. 2019, 112-115, [10] Li, Tong, Wang, Chuan, Cao, Xiaochun, Singh, L, DeVeaux, R, Karypis, G, Bonchi, F, Hill, J. Deep Crowd Counting In Congested Scenes Through Refine Modules. 2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019)null. 2019, 183-192, [11] 葛敬国. Automatic Virtual Network Embedding Based on Deep Reinforcement Learning and Graph Convolutional Network. HPCC. 2019, [12] Tang, Haina, Wu, Yulei, Li, Tong, Han, Chunjing, Ge, Jingguo, Zhao, Xiangpeng. Efficient Identification of TOP-K Heavy Hitters over Sliding Windows. MOBILE NETWORKS & APPLICATIONS[J]. 2019, 24(5): 1732-1741, https://www.webofscience.com/wos/woscc/full-record/WOS:000492662900030.
[13] 李佟, 葛敬国, 鄂跃鹏, 韩春静, 李俊. 基于标签的POF网络虚拟化技术研究. 计算机应用研究[J]. 2018, 35(2): 552-558,572, http://lib.cqvip.com/Qikan/Article/Detail?id=674426578.
[14] 刘正印, 葛敬国, 李佟, 韩春静, 吴嘉磊. 基于协议无感知转发的服务功能链. 计算机系统应用[J]. 2018, 27(9): 93-99, http://lib.cqvip.com/Qikan/Article/Detail?id=676183001.
[15] 李佟, 韩春静, 李俊. SDN网络虚拟化中规则映射研究. 计算机系统应用[J]. 2017, 26(9): 238-245, http://lib.cqvip.com/Qikan/Article/Detail?id=673109839.
[16] 韩春静, 杨晔, 吕红蕾, 葛敬国, 李佟, 刘韵洁. 面向应用感知的骨干网缓存方法研究. 通信学报[J]. 2017, 38(12期): 73-85, VIP_JournalArticle.
[17] 韩春静, 葛敬国, 谢高岗, 李亮雄, 李佟, 刘韵洁. 基于匿名化流表的网络数据分组实时匿名方法. 通信学报[J]. 2016, 37(11): 11-22, http://lib.cqvip.com/Qikan/Article/Detail?id=670575702.
[18] Tang Haina. D2Sketch: Supporting Efficient Identification of Heavy Hitters Over Sliding Windows. SMARTGIFT2016. 2016, [19] 李佟. Performance investigation of virtual network and physical network based on advanced testbed networks. IUCC 2015. 2015,