姓名：李丹
职称：教授
邮箱：tolidan@tsinghua.edu.cn
主页：http://nasp.cs.tsinghua.edu.cn/lidan.html
教育背景
工学硕士 (计算机科学与技术), 清华大学, 中国, 2005;
工学博士 (计算机科学与技术), 清华大学, 中国, 2007.
社会兼职
十四五重点研发计划“网络空间安全治理”专项，专家组副组长
ACM SIGCOMM 2019，程序委员会委员
IEEE Transactions on Computers，编委（2013-2015）
IEEE Transactions on Wireless Communications，编委（2018-2020）
APNet，指导委员会委员
研究领域
数据中心网络，网络安全，网络智能
研究概况
在数据中心网络方向，研究数据中心网络大规模路由控制、数据中心网络拓扑优化和数据中心网络流调度方法；在网络安全方向，研究安全可信的下一代互联网体系结构、互联网基础设施安全和网络空间安全自动化；在网络智能方向，研究数据驱动的智能路由控制、大规模网络仿真系统和数字孪生网络。获教育部青年科学奖，担任国家重点研发计划项目首席科学家，担任国家十四五重点研发计划“网络空间安全治理”专家组副组长。在ACM SIGCOMM、USENIX NSDI、ACM CoNext、USENIX Security、IEEE/ACM ToN等会议和期刊上发表论文100余篇，获授权专利30余项。研究成果获中国通信学会技术发明一等奖、中国电子学会科技进步特等奖。
学术成果
(1) 代表性会议论文
[1] Shuai Wang, Kaihui Gao, Kun Qian, Dan Li, Rui Miao, Bo Li, Yu Zhou, Ennan Zhai, Chen Sun, Jiaqi Gao, Dai Zhang, Binzhang Fu, Frank Kelly, Dennis Cai, Hongqiang Harry Liu, Ming Zhang, “Predictable vFabric on Informative Data Plane”, ACM SIGCOMM 2022, Amsterdam, Netherlands.
[2] Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo, “BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing”, USENIX NSDI 2023, Anaheim, CA, USA.
[3] Yanshu Wang, Dan Li, Yuanwei Lu, Jianping Wu, Hua Shao, Yutian Wang, “Elixir: A High-performance and Low-cost Approach to Managing Hardware/ Software Hybrid Flow Tables Considering Flow Burstiness”, USENIX NSDI 2022, Virtual.
[4] Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang, “Buffer-based End-to-end Request Event Monitoring in the Cloud”, USENIX NSDI 2022, Virtual.
[5] Lancheng Qin, Dan Li, Ruifeng Li, Kang Wang, “Themis: Accelerating the Detection of Route Origin Hijacking by Distinguishing Legitimate and Illegitimate MOAS”, USENIX Security 2022, Boston, MA, USA.
（2）代表性期刊论文
[1] Shuai Wang, Jinkun Geng, Dan Li, “Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology”, IEEE/ACM Transactions on Networking, 30(2):572-585, 2022.
[2] Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia and Jianping Wu, "A Scalable, High-performance and Fault-tolerant Network Architecture for Distributed Machine Learning", IEEE/ACM Transactions on Networking, 28(4):1752-1764, 2020.
[3] Xuya Jia, Dan Li, Jing Zhu and Yong Jiang, "Metro: An Efficient Traffic Fast Rerouting Scheme With Low Overhead", IEEE/ACM Transactions on Networking, 27(5):2015-2027, 2019.
[4] Guo Chen, Youjian Zhao, Hailiang Xu, Dan Pei and Dan Li, "F2Tree: Rapid Failure Recovery for Routing in Production Data Center Networks", IEEE/ACM Transactions on Networking, 25(4):1940-1953, 2017.
[5] Ming Zhu, Dan Li, Fangxin Wang, Anke Li, K.K. Ramakrishnan, Ying Liu, Jianping Wu, Nan Zhu and Xue Liu, "CCDN: Content-Centric Data Center Networks", IEEE/ACM Transactions on Networking, 24(6):3537-3550, 2016.
