BMI | qu
136
page-template-default,page,page-id-136,ajax_fade,page_not_loaded,,side_area_uncovered_from_content,qode-child-theme-ver-1.0.0,qode-theme-ver-11.0,qode-theme-bridge,wpb-js-composer js-comp-ver-5.1.1,vc_responsive
 

 

 

 

 

 

博导

 

移动智能与大数据研究室执行主任

 

广东省区块链与分布式物联网安全工程技术研究中心主任

简介

,丹麦奥胡斯大学(Aarhus University)计算机科学博士,中国科学院大学博士生导师,中科院率先行动 “” 人才,现为中国科学院深圳先进技术研究院前瞻性科学与技术中心移动智能与大数据实验室执行主任,广东省区块链与分布式物联网安全工程技术研究中心主任,中国科学院深圳先进技术研究院杭州分院常务副院长。此外,曲博士为俄罗斯英纳波利斯大学(Innopolis University)客座教授,并曾在美国卡内基梅隆大学(Carnegie Mellon University)、苏黎世联邦理工学院(ETH Zurich)等任职。曲博士是区块链、大数据与人工智能专家,在顶级学术期刊和会议上发表论文60余篇,撰写专著2部等。

  • Sadegh Nobari, Qiang Qu*, Christian S. Jensen. In-memory Spatial Join: Data Matters! EDBT 2017: 462-465 (CCF B)
  • Qiang Qu*, Siyuan Liu, Feida Zhu, Christian S. Jensen. Efficient Online Summarization of Large-scale Dynamic Networks. IEEE Trans. Knowl. Data Eng. 28(12): 3231-3245 (2016) (CCF A; JCR Q1, IF=3.438)
  • Siyuan Liu, Qiang Qu*. Dynamic Collective Routing using Crowdsourcing Data. Transportation Research Part B Methodology, 2016, 93: 450-469. (JCR Q1, IF=3.769)
  • Fang Zhou, Qiang Qu, Hannu Toivonen. Summarization of Weighted Networks, Journal of Experimental & Theoretical Artificial Intelligence, 2016 (JCR Q2, IF=1.384)
  • Ali Hadian, Sadegh Nobari, Behrouz Minaei-Bidgoli, Qiang Qu. ROLL: Fast In-Memory Generation of Gigantic Scale-free Networks. SIGMOD, 2016: 1829-1842 (CCF A)
  • Mingli Zhang, Christian Desrosiers, Qiang Qu*, Fenghua Guo, Caiming Zhang. Medical Image Super-resolution with Non-local Embedding Sparse Representation and Improved IBP. ICASSP, 2016 (CCF B)
  • Qiang Qu*, Cen Chen, Christian S. Jensen, Anders Skovsgaard. Space-Time Aware Behavioral-Topic Modeling for Microblog Posts. IEEE Data Eng. Bull. 38(2): 58-67 (2015)
  • Siyuan Liu, Qiang Qu, Shuhui Wang. Rationality Analytics from Trajectories. ACM Transactions on Knowledge Discovery from Data 10(1): 10 (2015) (CCF B; JCR Q3, IF=1.895)
  • Siyuan Liu, Qiang Qu*, Ce Liu, Lei Chen, Lionel M. Ni. SMC: Privacy-preserved Data Sharing over Distributed Data Streams. IEEE Transactions on Big Data, 2015, 1(2):68-81.
  • Qiang Qu*, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos. Interestingness-driven Diffusion Process Summarizing in Dynamic Networks. ECML/PKDD 2014: 597–613 (CCF B)
  • Qiang Qu*, Siyuan Liu, Bin Yang, Christian S. Jensen. Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. MDM 2014: 269–278
  • Qiang Qu*, Bin Yang, Christian S. Jensen. Integrating Non-spatial Preferences with Spatial Location Queries. SSDBM 2014: 8:1–8:12
  • Feida Zhu, Zequn Zhang, Qiang Qu. A Direct Approach to Efficient Constrained Graph Pattern Discovery. SIGMOD 2013: 821–832 (CCF A)
  • Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu: Spatial Keyword Querying. ER 2012: 1–14 (Invited Paper)
  • Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu: Mining Top-K Large Structural Patterns in a Massive Network. PVLDB 4(11): 807–818 (2011) (CCF A)
  • Qiang Qu*, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li: Efficient Topological OLAP on Information Networks. DASFAA 2011: 389–403 (CCF B)
  • Coauthor of Book Chapter in Encyclopedia of GIS, Edition 2 published by Springer.
  • Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang: Mobility Analytics for Spatio-Temporal and Social Data – First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10731, Springer 2018, ISBN 978-3-319-73520-7.