Qiang Qu
Qiang Qu
Chinese Academy of Sciences, SIAT
Verified email at siat.ac.cn - Homepage
Cited by
Cited by
Spatial keyword querying
X Cao, L Chen, G Cong, CS Jensen, Q Qu, A Skovsgaard, D Wu, ML Yiu
International Conference on Conceptual Modeling, 16-29, 2012
Mining top-k large structural patterns in a massive network
F Zhu, Q Qu, D Lo, X Yan, J Han, PS Yu
Proceedings of the VLDB Endowment 4 (11), 807-818, 2011
Renovating blockchain with distributed databases: An open source system
M Muzammal, Q Qu, B Nasrulin
Future generation computer systems 90, 105-117, 2019
Efficient topological OLAP on information networks
Q Qu, F Zhu, X Yan, J Han, SY Philip, H Li
International Conference on Database Systems for Advanced Applications, 389-403, 2011
Generative adversarial network for abstractive text summarization
L Liu, Y Lu, M Yang, Q Qu, J Zhu, H Li
Thirty-second AAAI conference on artificial intelligence, 2018
Spatio-temporal analysis of passenger travel patterns in massive smart card data
J Zhao, Q Qu, F Zhang, C Xu, S Liu
IEEE Transactions on Intelligent Transportation Systems 18 (11), 3135-3146, 2017
Interestingness-driven diffusion process summarization in dynamic networks
Q Qu, S Liu, CS Jensen, F Zhu, C Faloutsos
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Asset Prices and Monetary Policy [J]
Q Qiang
Economic Research Journal 7, 2001
Opinion leader detection: A methodological review
SMH Bamakan, I Nurgaliev, Q Qu
Expert Systems with Applications 115, 200-222, 2019
Efficient Online Summarization of Large-scale Dynamic Networks
Q Qu, S Liu, F Zhu, C Jensen
IEEE Transactions on Knowledge & Data Engineering, 2016
SMC: A practical schema for privacy-preserved data sharing over distributed data streams
S Liu, Q Qu, L Chen, LM Ni
IEEE Transactions on Big Data 1 (2), 68-81, 2015
Space-Time Aware Behavioral Topic Modeling for Microblog Posts.
Q Qu, C Chen, CS Jensen, A Skovsgaard
IEEE Data Eng. Bull. 38 (2), 58-67, 2015
Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems
Y Tian, M Mirzabagheri, SMH Bamakan, H Wang, Q Qu
Neurocomputing 310, 223-235, 2018
Dynamic collective routing using crowdsourcing data
S Liu, Q Qu
Transportation Research Part B: Methodological 93, 450-469, 2016
Graph-based knowledge representation model and pattern retrieval
Q Qu, J Qiu, C Sun, Y Wang
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery …, 2008
Feature-enhanced attention network for target-dependent sentiment classification
M Yang, Q Qu, X Chen, C Guo, Y Shen, K Lei
Neurocomputing 307, 91-97, 2018
Trajectory mining using uncertain sensor data
M Muzammal, M Gohar, AU Rahman, Q Qu, A Ahmad, G Jeon
IEEE Access 6, 4895-4903, 2017
Rationality analytics from trajectories
S Liu, Q Qu, S Wang
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 1-22, 2015
A direct mining approach to efficient constrained graph pattern discovery
F Zhu, Z Zhang, Q Qu
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
Efficient top-k spatial locality search for co-located spatial web objects
Q Qu, S Liu, B Yang, CS Jensen
2014 IEEE 15th International Conference on Mobile Data Management 1, 269-278, 2014
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