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Xiaofang Zhou
Titel
Zitiert von
Zitiert von
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ℓ2,1-Norm regularized discriminative feature selection for unsupervised learning
Y Yang, HT Shen, Z Ma, Z Huang, X Zhou
IJCAI international joint conference on artificial intelligence, 2011
10512011
Infrared patch-image model for small target detection in a single image
C Gao, D Meng, Y Yang, Y Wang, X Zhou, AG Hauptmann
IEEE transactions on image processing 22 (12), 4996-5009, 2013
9912013
Computing with spatial trajectories
Y Zheng, X Zhou
Springer Science & Business Media, 2011
7702011
Unsupervised feature selection using nonnegative spectral analysis
Z Li, Y Yang, J Liu, X Zhou, H Lu
Proceedings of the AAAI conference on artificial intelligence 26 (1), 1026-1032, 2012
6582012
Graph contextualized self-attention network for session-based recommendation.
C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou
IJCAI 19, 3940-3946, 2019
6522019
Discovery of convoys in trajectory databases
H Jeung, ML Yiu, X Zhou, CS Jensen, HT Shen
arXiv preprint arXiv:1002.0963, 2010
6212010
Where to go next: A spatio-temporal gated network for next poi recommendation
P Zhao, A Luo, Y Liu, J Xu, Z Li, F Zhuang, VS Sheng, X Zhou
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2512-2524, 2020
5022020
Discovering popular routes from trajectories
Z Chen, HT Shen, X Zhou
2011 IEEE 27th International Conference on Data Engineering, 900-911, 2011
4752011
Spark: top-k keyword query in relational databases
Y Luo, X Lin, W Wang, X Zhou
Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007
4582007
A hybrid prediction model for moving objects
H Jeung, Q Liu, HT Shen, X Zhou
2008 IEEE 24th international conference on data engineering, 70-79, 2008
4012008
Clustering-guided sparse structural learning for unsupervised feature selection
Z Li, J Liu, Y Yang, X Zhou, H Lu
IEEE Transactions on Knowledge and Data Engineering 26 (9), 2138-2150, 2013
3542013
Feature-level deeper self-attention network for sequential recommendation.
T Zhang, P Zhao, Y Liu, VS Sheng, J Xu, D Wang, G Liu, X Zhou
IJCAI, 4320-4326, 2019
3212019
Searching trajectories by locations: an efficiency study
Z Chen, HT Shen, X Zhou, Y Zheng, X Xie
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
3102010
Spatial-aware hierarchical collaborative deep learning for POI recommendation
H Yin, W Wang, H Wang, L Chen, X Zhou
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2537-2551, 2017
3012017
Reducing uncertainty of low-sampling-rate trajectories
K Zheng, Y Zheng, X Xie, X Zhou
2012 IEEE 28th international conference on data engineering, 1144-1155, 2012
3012012
Lc-rnn: A deep learning model for traffic speed prediction.
Z Lv, J Xu, K Zheng, H Yin, P Zhao, X Zhou
IJCAI 2018, 27, 2018
2882018
Adapting to user interest drift for poi recommendation
H Yin, X Zhou, B Cui, H Wang, K Zheng, QVH Nguyen
IEEE Transactions on Knowledge and Data Engineering 28 (10), 2566-2581, 2016
2852016
Multi-source skyline query processing in road networks
K Deng, X Zhou, HT Shen
2007 IEEE 23rd international conference on data engineering, 796-805, 2006
2672006
Online discovery of gathering patterns over trajectories
K Zheng, Y Zheng, NJ Yuan, S Shang, X Zhou
IEEE Transactions on Knowledge and Data Engineering 26 (8), 1974-1988, 2013
2432013
Social influence-based group representation learning for group recommendation
H Yin, Q Wang, K Zheng, Z Li, J Yang, X Zhou
2019 IEEE 35th International Conference on Data Engineering (ICDE), 566-577, 2019
2342019
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