Wei Liu
TitleCited byYear
Page Header Logo AAAI Publications
L Jiang, W Liu, L Cao, G Long
Discovering spatio-temporal causal interactions in traffic data streams
W Liu, Y Zheng, S Chawla, J Yuan, X Xing
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Class confidence weighted knn algorithms for imbalanced data sets
W Liu, S Chawla
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 345-356, 2011
A robust decision tree algorithm for imbalanced data sets
W Liu, S Chawla, DA Cieslak, NV Chawla
Proceedings of the 2010 SIAM International Conference on Data Mining, 766-777, 2010
On detection of emerging anomalous traffic patterns using GPS data
LX Pang, S Chawla, W Liu, Y Zheng
Data & Knowledge Engineering 87, 357-373, 2013
Training deep neural networks on imbalanced data sets
S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy
2016 International Joint Conference on Neural Networks (IJCNN), 4368-4374, 2016
On mining anomalous patterns in road traffic streams
L Pang, S Chawla, W Liu, Y Zheng
Advanced Data Mining and Applications, 237-251, 2011
Detecting communities based on network topology
W Liu, M Pellegrini, X Wang
Scientific reports 4, 5739, 2014
A game theoretical model for adversarial learning
W Liu, S Chawla
2009 IEEE International Conference on Data Mining Workshops, 25-30, 2009
Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination.
W Liu, X Tang, J Liu
IJCAI, 2141-2146, 2007
Spatio-temporal outlier detection in precipitation data
E Wu, W Liu, S Chawla
Knowledge Discovery from Sensor Data, 115-133, 2010
Ensemble-based wrapper methods for feature selection and class imbalance learning
P Yang, W Liu, BB Zhou, S Chawla, AY Zomaya
Discovering congestion propagation patterns in spatio-temporal traffic data
H Nguyen, W Liu, F Chen
IEEE Transactions on Big Data 3 (2), 169-180, 2017
Mining adversarial patterns via regularized loss minimization
W Liu, S Chawla
Machine learning 81 (1), 69-83, 2010
Attention-based transactional context embedding for next-item recommendation
S Wang, L Hu, L Cao, X Huang, D Lian, W Liu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
On Compressing Weighted Time-evolving Graphs
W Liu, A Kan, J Chan, J Bailey, C Leckie, P Jian, R Kotagiri
Discovering communities in complex networks by edge label propagation
W Liu, X Jiang, M Pellegrini, X Wang
Scientific reports 6 (1), 1-10, 2016
On sparse feature attacks in adversarial learning
F Wang, W Liu, S Chawla
2014 IEEE International Conference on Data Mining, 1013-1018, 2014
Mining labelled tensors by discovering both their common and discriminative subspaces
W Liu, J Chan, J Bailey, C Leckie, K Ramamohanarao
Proc. of the 2013 SIAM International Conference on Data Mining (SDM), 2013
Discrimination aware classification for imbalanced datasets
G Ristanoski, W Liu, J Bailey
Proceedings of the 22nd ACM international conference on Information …, 2013
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Articles 1–20