电 话：(0551)63603412
E-Mail：lvmin05@ustc.tsg211.com
个人主页： http://staff.ustc.tsg211.com/~lvmin05
主要研究方向： 容错存储系统、图计算、数据隐私
吕敏，女，图书馆VIP计算机科学与技术学院副教授。1999年毕业于安徽大学数学系，获学士学位；2002年获得安徽大学应用数学硕士学位；2005年获得图书馆VIP数学博士学位。同年进入图书馆VIP计算机系做博士后；2007年留校工作。2015年在普渡大学计算机系进行访问交流。在VLDB、SIGMOD、INFOCOM、TPDS、VLDB Journal、ACM Trans.等国际重要会议和期刊上发表多篇论文，参与编写英文学术专著一部(Morgan & Claypool 出版社)。
获奖情况：
2018获王宽诚育才奖
代表性论著：
Liangliang Xu, Min Lv, Zhipeng Li, Cheng Li and Yinlong Xu. PDL: A Data Layout towards Fast Failure Recovery for Erasure-coded Distributed Storage Systems. IEEE International Conference on Computer Communications (IEEE INFOCOM), 2020: 736-745.
Liangliang Xu, Min Lv, Zhipeng Li, Yongkun Li and Yinlong Xu, Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Distributed Storage Systems, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020, 31(10): 2248-2262.
Zhipeng Li, Min Lv, Yinlong Xu, Yongkun Li, Liangliang Xu. D3: Deterministic Data Distribution for Efficient Data Reconstruction in Erasure-Coded Distributed Storage Systems. IPDPS 2019.5: 545-556.
Chen Yang, Min Lv, Yongkun Li, Qianqian Zhao, Yinlong Xu, SSRW: A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk. DASFAA (1) 2018: 272-288.
Caiyin Liu, Min Lv, Yubiao Pan, Hao Chen, Yongkun Li, Cheng Li and Yinlong Xu, LCR: Load-aware Cache Replacement Algorithm for Flash-based SSDs. NAS 2018.
Dong Su，Jianneng Cao，Ninghui Li，Min Lv，PrivPfC: Differentially Private Data Publication for Classification. The VLDB Journal 27(2), 2018: 201–223.
Min Lv, Dong Su, Ninghui Li. Understanding the Sparse Vector Technique for Differential Privacy. PVLDB 10(6), 2017: 637-648.
Dong Su, Jianneng Cao, Ninghui Li, Elisa Bertino, Min Lv, Hongxia Jin, Differentially Private K-Means Clustering and a Hybrid Approach to Private Optimization. ACM Trans. Priv. Secur. 20(4), 2017: 16:1-16:33.
Wei-Yen Day, Ninghui Li, Min Lv, Publishing Graph Degree Distribution with Node Differential Privacy. SIGMOD 2016: 123-138.
Ninghui Li, Min Lv, Wei-Yen Day, Dong Su, Differential Privacy: From Theory to Practice, Morgan & Claypool Publishers, 2016.
