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shaofeng.jiang
静园五院206-1
理论计算机科学、大数据上的算法、近似算法、在线算法 https://shaofengjiang.cn/简介
姜少峰博士，现任北京大学前沿计算研究中心助理教授，博士生导师，北京大学博雅青年学者，于2021年6月正式加入中心。他于2017年在香港大学取得博士学位，曾在以色列魏茨曼科学研究学院（Weizmann Institute of Science）进行为期三年的博士后研究，并曾在芬兰阿尔托大学（Aalto University）任助理教授。他博士在读期间获微软亚洲研究院PhD Fellowship提名奖，博士后研究获魏茨曼杰出博士后研究成果奖。他的研究方向为理论计算机科学，近期侧重于大数据算法及其在机器学习中的应用，并已经在包括FOCS，SICOMP，SODA，ICML，NeurIPS等的主流国际期刊和会议上发表论文多篇。姜少峰博士现致力于理论计算机科学、数据科学理论基础等方面的教学和科研，并与国际知名机构积极展开合作，积极推进相关方向的人才培养和科研产出，提升中心的国际影响力。
发表论著
Journal Papers
■ A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics. T-H. Hubert Chan, Haotian Jiang, Shaofeng H.-C. Jiang. TALG 2020.
■ OnDisc: Online Latency-Sensitive Job Dispatching and Scheduling in Heterogeneous Edge-Clouds. Zhenhua Han, Haisheng Tan, Xiang-Yang Li, Shaofeng H.-C. Jiang, Yupeng Li, Francis C.M. Lau. ToN 2019.
■ Joint Online Coflow Routing and Scheduling in Data Center Networks. Haisheng Tan, Shaofeng H.-C. Jiang, Yupeng Li, Xiang-Yang Li, Chenzi Zhang, Zhenhua Han, Francis C.M. Lau. ToN 2019.
■ A PTAS for the Steiner Forest Problem in Doubling Metrics. T-H. Hubert Chan, Shuguang Hu, Shaofeng H.-C. Jiang. SICOMP 2018.
■ Online Submodular Maximization with Free Disposal. T.-H. Hubert Chan, Zhiyi Huang, Shaofeng H.-C. Jiang, Ning Kang, Zhihao Gavin Tang. TALG 2018.
■ Reducing Curse of Dimensionality: Improved PTAS for TSP (with Neighborhoods) in Doubling Metrics. T-H. Hubert Chan, Shaofeng H.-C. Jiang. TALG 2018.
Conference Papers
■ Coresets for Clustering in Excluded-minor Graphs and Beyond. Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. SODA 2021.
■ Coresets for Clustering in Graphs of Bounded Treewidth. Daniel Baker, Vladimir Braverman, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. ICML 2020.
■ Scheduling Placement-Sensitive BSP Jobs with Inaccurate Execution Time Estimation. Zhenhua Han, Haisheng Tan, Shaofeng H.-C. Jiang, Xiaoming Fu, Wanli Cao, Francis C.M. Lau. INFOCOM 2020.
■ Online Dispatching and Scheduling of Jobs with Heterogeneous Utilities in Edge Computing. Chi Zhang, Haisheng Tan, Haoqiang Huang, Zhenhua Han, Shaofeng H.-C. Jiang, Nikolaos Freris, XiangYang Li. Mobihoc 2020.
■ Coresets for Clustering with Fairness Constraints. Lingxiao Huang, Shaofeng H.-C. Jiang, Nisheeth Vishnoi. NeurIPS 2019.
■ Coresets for Ordered Weighted Clustering. Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu. ICML 2019.
■ Camul: Online Caching on Multiple Caches with Relaying and Bypassing. Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Liuyan Liu, Kai Han, Qinglin Zhao. INFOCOM 2019.
■ epsilon-Coresets for Clustering (with Outliers) in Doubling Metrics. Lingxiao Huang, Shaofeng H.-C. Jiang, Jian Li, Xuan Wu. FOCS 2018.
■ A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics. T-H. Hubert Chan, Haotian Jiang, Shaofeng H.-C. Jiang. ESA 2018.
■ Online Submodular Maximization Problem with Vector Packing Constraint. T-H. Hubert Chan, Shaofeng H.-C. Jiang, Zhihao Gavin Tang, Xiaowei Wu. ESA 2017.
■ Online Submodular Maximization with Free Disposal: Randomization Beats 1/4 for Partition Matroids. T-H. Hubert Chan, Zhiyi Huang, Shaofeng H.-C. Jiang, Ning Kang, Zhihao Gavin Tang. SODA 2017.
■ A PTAS for the Steiner Forest Problem in Doubling Metrics. T-H. Hubert Chan, Shuguang Hu, Shaofeng H.-C. Jiang. FOCS 2016.
■ Efficient Online Coflow Routing and Scheduling. Yupeng Li, Shaofeng H.-C. Jiang, Haisheng Tan, Chenzi Zhang, Guihai Chen, Jipeng Zhou, Francis C.M. Lau. Mobihoc 2016.
■ Reducing Curse of Dimensionality: Improved PTAS for TSP (with Neighborhoods) in Doubling Metrics. T-H. Hubert Chan, Shaofeng H.-C. Jiang. SODA 2016.
■ Revealing Optimal Thresholds for Generalized Secretary Problem via Continuous LP: Impacts on Online K-Item Auction and Bipartite K-Matching with Random Arrival Order. T-H. Hubert Chan, Fei Chen, Shaofeng H.-C. Jiang. SODA 2015.