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陈世敏  研究员  


                                        
研究方向：

                                        
所属部门：先进计算机系统研究中心

                                        
导师类别：博导计算机系统结构

                                        
联系方式：chensm@ict.ac.cn

                                        
个人网页：https://www.shimin-chen.com

                                    

                                

                            


                        

                    

                

            

            

                

                    

                        

                            

                                
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陈世敏，中科院计算所研究员，在清华大学计算机系获学士和硕士学位，在美国Carnegie Mellon University获得计算机科学博士学位。主要研究方向为数据库系统和大数据处理。论文发表在包括SIGMOD, ISCA, VLDB, ASPLOS, ICDE, CIDR等顶级国际会议和ACM TODS, IEEE TKDE等顶级国际期刊，并获得ICDE'04 Best Paper，SIGMOD'01 Runner-up Best Paper，和2008年体系结构国际会议年度顶级论文奖（Top Picks'08）。担任PVLDB 2017，ICDE 2018，ICDCS 2016，CIKM 2014等会议的PC Area Chair，在ICDE担任多届大数据新硬件技术的主要Workshop HardBD&Active的Co-Chair。在中国科学院大学担任岗位教授，讲授研究生“大数据系统与大规模数据分析”课程和本科“数据库系统”课程。


 

                                

                            

                            

                                
主要论著：

                                

                                    


[1]    Gang Liu, Leying Chen, Shimin Chen. "Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory". PVLDB, 14(5): 835 - 848, 2021. (PVLDB'21).


[2]    Jiacheng Wu, Yong Zhang, Shimin Chen, Yu Chen, Jin Wang, Chunxiao Xing. "Updatable Learned Index with Precise Positions". PVLDB 2021. (PVLDB'21).


[3]    Shaonan Ma, Kang Chen, Shimin Chen, Mengxing Liu, Jianglang Zhu, Hongbo Kang, and Yongwei Wu. "ROART: Range-query Optimized Persistent ART". 19th USENIX Conference on File and Storage Technologies (FAST'21).


[4]    Mengsu Ding, Shimin Chen, Nantia Makrynioti, Stefan Manegold. "Progressive Join Algorithms Considering User Preference". 11th Conference on Innovative Data Systems Research (CIDR'21).


[5]    Jihang Liu, Shimin Chen, Lujun Wang. "LB+-Trees: Optimizing Persistent Index Performance on 3DXPoint Memory". PVLDB 13(7): 1078-1090. (PVLDB'20).


[6]    Zhiyi Wang, Shimin Chen. "Exploiting Common Patterns for Tree-Structured Data". In proceedings of the 2017 SIGMOD International Conference on Management of Data (SIGMOD'17).


[7]    Shimin Chen, Qin Jin. "Persistent B+-Trees in Non-Volatile Main Memory". PVLDB, 8(7): 786-797 (PVLDB 2015).


[8]    Manos Athanassoulis, Shimin Chen, Anastasia Ailamaki, Phillip B. Gibbons, Radu Stoica. "Online Updates on Data Warehouses via Judicious Use of Solid-State Storage". ACM Trans. Database Syst. 40(1): 6:1-6:42 (TODS 2015)


[9]    Zhao Cao, Shimin Chen, Feifei Li, Min Wang, X. Sean Wang. "LogKV: Exploiting Key-Value Stores for Event Log Processing". 6th biennial Conference on Innovative Data Systems Research (CIDR'13).


[10] Shimin Chen, Phillip B. Gibbons, Suman Nath. "Rethinking Database Algorithms for Phase Change Memory". In proceedings of the 5th Biennial Conference on Innovative Data Systems Research (CIDR'11).


[11] Shimin Chen. "FlashLogging: Exploiting Flash Devices for Synchronous Logging Performance". In proceedings of the 2009 SIGMOD International Conference on Management of Data (SIGMOD'09).


[12] Shimin Chen, Michael Kozuch, Theodoros Strigkos, Babak Falsafi, Phillip B. Gibbons, Todd C. Mowry, Vijaya Ramachandran, Olatunji Ruwase, Michael Ryan, Evangelos Vlachos. "Flexible Hardware Acceleration for Instruction-Grain Program Monitoring". In proceedings of the 35th International Symposium on Computer Architecture (ISCA'08) (accepted in IEEE Micro Special Issue "Top Picks from Computer Architecture Conferences").


[13] Shimin Chen, Anastasia Ailamaki, Phillip B. Gibbons, and Todd C. Mowry. "Improving Hash Join Performance through Prefetching". In proceedings of the 20th International Conference on Data Engineering, 2004(ICDE'04). (Best Paper Award)


 


[14] Shimin Chen, Phillip B. Gibbons, and Todd C. Mowry. "Improving Index Performance through Prefetching". In proceedings of the 2001 SIGMOD International Conference on Management of Data (SIGMOD'01). (Runner-up for Best Paper Award)



                                

                            

                            

                                
科研项目：

                                

                                    
                                

                            

                            

                                
获奖及荣誉：

                                

                                    
 


1.          ''Flexible Hardware Acceleration for Instruction-Grain Lifeguards'' (Top Picks from the 2008 Computer Architecture Conferences) 被IEEE Micro评选为2008年度计算机体系结构会议顶级论文 


2.          ''Improving Hash Join Performance through Prefetching'' （ICDE'04 Best Paper）在2004年IEEE数据工程国际年会上被评为最佳论文


3.          ''Improving Index Performance through Prefetching'' （SIGMOD'01 Runner-up Best Paper）在2001年ACM数据管理国际年会上被评为亚军最佳论文


4.          1997年本科毕业，获得清华大学优秀毕业生称号。（计算机科学与技术系150名应届毕业生中3人获得此称号）