个人简历

韩恺，男，研究员，博士生导师。分别于1997年和2004年在中国科学技术大学少年班和计算机系获学士和博士学位；2008年于中国科学技术大学数学系计算数学专业博士后流动站出站；后曾在新加坡南洋理工大学计算机工程学院长期访问研究，于2015年以海外人才引进方式回国工作。主要研究兴趣包括大数据处理与机器学习、网络科学与数据挖掘、信息安全。近年来以第一作者身份在PVLDB、ICDE、MobiHoc、INFOCOM、TON、TKDE、TMC、TC等国际顶级会议和期刊发表论文多篇。 曾主持和参与国家自然科学基金项目、新加坡教育部MOE AcRF Tier 1、Tier 2项目、国家973项目等多项重大科研项目。曾担任TON、JSAC、TMC、TKDE、TPDS、TC、INFOCOM、MobiHoc等一系列国际顶级期刊和会议的审稿人。目前担任微软亚洲研究院(MSRA)合作导师，可招收博士后、博士生或硕士生联合指导和培养。

研究领域

大数据处理与数据挖掘、机器学习理论及应用、计算机网络与信息安全""

近期论文

1.Kai Han*, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang: Efficient and Effective Algorithms for Clustering Uncertain Graphs, PVLDB 12(6), 2019.
2.Kai Han*, etc: Organizing an influential social event under a budget constraint, IEEE Transactions on Knowledge and Data Engineering, in press.
3.Kai Han*, Huan Liu, Shaojie Tang, and Mingjun Xiao, Jun Luo: Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing, IEEE Transactions on Mobile Computing, in press
4.Kai Han*, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang: Efficient Algorithms for Adaptive Influence Maximization, PVLDB 11(9): 1029-1040, 2018.
5.Kai Han*, He Huang, Jun Luo: Quality-Aware Pricing for Mobile Crowdsensing, IEEE/ACM Transactions on Networking, in press
6.Kai Han*, Chaoting Xu, Fei Gui, Shaojie Tang, He Huang, Jun Luo: Discount Allocation for Revenue Maximization in Online Social Networks. ACM MobiHoc 2018.
7.Kai Han*,Yuntian He,Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu,Jun Luo, Budget-Constrained Organization of Influential Social Events, IEEE ICDE 2018.
8.Kai Han*, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo: Online Pricing for Mobile Crowdsourcing with Multi-Minded Users. ACM MobiHoc 2017.
9.Kai Han*, He Huang, Jun Luo: Posted pricing for robust crowdsensing. ACM MobiHoc 2016.
10.Kai Han*, Z. Hu, J. Luo, and L. Xiang, “RUSH: RoUting and Scheduling for Hybrid Data Center Networks,” IEEE INFOCOM, 2015.
11.Kai Han*, C. Zhang, J. Luo, M. Hu and B. Veeravalli, “Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing,” IEEE Transactions on Computers, Vol. 65, No. 1, pp 294-307, 2016
12.Kai Han*, C. Zhang, and J. Luo, “Taming the Uncertainty: Budget Limited Robust Crowdsensing through Online Learning,” IEEE/ACM Transactions on Networking，24(3): 1462-1475, 2016
13.Kai Han*, Jun Luo, Xiang Liu, Mingjun Xiao, and Liusheng Huang, \