基本信息
姓名: Z Chu
科研机构: Computer
注册时间: 2017-06-10
活跃度: 2011
研究兴趣画像 系统自动生成

根据浏览过的会议与期刊，该研究者最可能关注的研究方向是 系统与体系结构, 数据挖掘与数据库, 网络与通信, 软件工程。 高频浏览的会议 / 期刊包括 EuroSys, SC, ICDM, DASFAA, IPDPS。

简历
关注的会议
总计17条数据。
CCFICORE简称全称截稿日期通知日期会议日期
AA*VLDBInternational Conference on Very Large Data Bases2027-03-012027-04-152027-08-23
AA*KDDACM SIGKDD Conference on Knowledge Discovery and Data Mining2026-07-192026-11-142027-08-09
CBSSDBMInternational Conference on Scalable Scientific Data Management2026-04-242026-06-142026-08-11
CBICCCNInternational Conference on Computer Communications and Networks2026-03-072026-04-242026-07-27
BBEuro-ParEuropean Conference on Parallel and Distributed Computing2026-02-272026-04-302026-08-24
BAUAIConference on Uncertainty in Artificial Intelligence2026-02-252026-06-012026-08-17
CCFORTEInternational Conference on Formal Techniques for Distributed Systems2026-02-212026-06-08
BBSPAAACM Symposium on Parallelism in Algorithms and Architectures2026-02-202026-05-152026-07-06
BA*PODCACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing2026-02-112026-04-292026-07-06
AA*SIGCOMMAnnual Conference of the ACM Special Interest Group on Data Communication2026-02-062026-08-17
BA*ICALPInternational Colloquium on Automata, Languages and Programming2026-02-032026-04-202026-07-07
BAICSInternational Conference on Supercomputing2026-02-022026-04-062026-07-06
CCISCCIEEE symposium on Computers and Communications2026-02-012026-03-202026-06-23
CBCOMPSACInternational Computer Software and Applications Conference2026-01-312026-04-012026-07-07
AAHPDCInternational ACM Symposium on High-Performance Parallel and Distributed Computing2026-01-292026-03-312026-07-13
BAIPDPSInternational Parallel & Distributed Processing Symposium2025-10-022026-02-022026-05-25
CAEASEInternational Conference on Evaluation and Assessment in Software Engineering2027-06-15
参加的会议
总计1条数据。
CCFICORE简称全称会议日期会议地点
BAIPDPSInternational Parallel & Distributed Processing Symposium2025-06-03Milan, Italy
关注的期刊
CCF全称影响因子出版商ISSN
没有找到数据。
关注的科研人员
姓名科研机构注册时间活跃度
没有找到数据。