Wei Liu

According to our database1, Wei Liu authored at least 48 papers between 2008 and 2019.

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Bibliography

2019
Adversarial Deep Learning Models with Multiple Adversaries.
IEEE Trans. Knowl. Data Eng., 2019

AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.
IEEE Trans. Cybernetics, 2019

2018
Sparse Feature Attacks in Adversarial Learning.
IEEE Trans. Knowl. Data Eng., 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data.
IEEE Trans. Big Data, 2017

Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Positive unlabeled learning via wrapper-based adaptive sampling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

ASTEN: An accurate and scalable approach to Coupled Tensor Factorization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
On Damage Identification in Civil Structures Using Tensor Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Discrimination-Aware Classifiers for Student Performance Prediction.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Mining actionable combined patterns of high utility and frequency.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Document similarity analysis via involving both explicit and implicit semantic couplings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Actionable Combined High Utility Itemset Mining.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Coupled Collaborative Filtering for Context-aware Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Structure-Aware Distance Measures for Comparing Clusterings in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On Sparse Feature Attacks in Adversarial Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Causal Structure Discovery for Spatio-temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2014

Using Local Information to Significantly Improve Classification Performance.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Traffic Analysis as a Service via a Unified Model.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
On detection of emerging anomalous traffic patterns using GPS data.
Data Knowl. Eng., 2013

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Bayesian Classifier for Learning from Tensorial Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Time Series Forecasting Using Distribution Enhanced Linear Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A time-dependent enhanced support vector machine for time series regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Tikhonov or Lasso Regularization: Which Is Better and When.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Clustering and visualization of fuzzy communities in social networks.
Proceedings of the FUZZ-IEEE 2013, 2013

Discrimination aware classification for imbalanced datasets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

On compressing weighted time-evolving graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Discovering spatio-temporal causal interactions in traffic data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

On Mining Anomalous Patterns in Road Traffic Streams.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Mining adversarial patterns via regularized loss minimization.
Machine Learning, 2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
A Game Theoretical Model for Adversarial Learning.
Proceedings of the ICDM Workshops 2009, 2009

2008
Spatio-temporal Outlier Detection in Precipitation Data.
Proceedings of the Knowledge Discovery from Sensor Data, 2008


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