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Wei Liu
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Year
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
5132016
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
4772011
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
2372018
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
2042011
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
2042010
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
1832013
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
L Zhang, S Huang, W Liu, D Tao
Proceedings of the IEEE International Conference on Computer Vision, 8331-8340, 2019
1712019
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
1352017
A survey on canonical correlation analysis
X Yang, W Liu, W Liu, D Tao
IEEE Transactions on Knowledge and Data Engineering 33 (6), 2349-2368, 2019
1292019
On mining anomalous patterns in road traffic streams
L Pang, S Chawla, W Liu, Y Zheng
Advanced Data Mining and Applications, 237-251, 2011
1232011
Ensemble-based wrapper methods for feature selection and class imbalance learning
P Yang, W Liu, BB Zhou, S Chawla, AY Zomaya
100*
Spatio-temporal outlier detection in precipitation data
E Wu, W Liu, S Chawla
Knowledge Discovery from Sensor Data, 115-133, 2010
872010
A game theoretical model for adversarial learning
W Liu, S Chawla
2009 IEEE International Conference on Data Mining Workshops, 25-30, 2009
872009
Mining adversarial patterns via regularized loss minimization
W Liu, S Chawla
Machine learning 81, 69-83, 2010
722010
Online spatio-temporal crowd flow distribution prediction for complex metro system
Y Gong, Z Li, J Zhang, W Liu, Y Zheng
IEEE Transactions on knowledge and data engineering 34 (2), 865-880, 2020
712020
Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination.
W Liu, X Tang, J Liu
IJCAI, 2141-2146, 2007
662007
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization
Y Gong, Z Li, J Zhang, W Liu, Y Zheng, C Kirsch
Proceedings of the 27th ACM International Conference on Information and …, 2018
602018
DeepCU: integrating both common and unique latent information for multimodal sentiment analysis
S Verma, C Wang, L Zhu, W Liu
Proceedings of the 28th International Joint Conference on Artificial …, 2019
492019
Trafficwatch: Real-time traffic incident detection and monitoring using social media
H Nguyen, W Liu, P Rivera, F Chen
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
492016
Time Series Forecasting using Distribution Enhanced Linear Regression
G Ristanoski, W Liu, J Bailey
46*
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