# Xia Ning

According to our database

Collaborative distances:

^{1}, Xia Ning authored at least 38 papers between 2005 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Drug Recommendation toward Safe Polypharmacy.

CoRR, 2018

Drug Selection via Joint Push and Learning to Rank.

CoRR, 2018

ALE: Additive Latent Effect Models for Grade Prediction.

CoRR, 2018

ALE: Additive Latent Effect Models for Grade Prediction.

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Enhance E-Learning through Data Mining for Personalized Intervention.

Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017

Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.

Journal of Chemical Information and Modeling, 2017

Grade Prediction with Temporal Course-wise Influence.

CoRR, 2017

Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations.

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Predicting High-Order Directional Drug-Drug Interaction Relations.

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Grade Prediction with Temporal Course-wise Influence.

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Differential Compound Prioritization via Bi-Directional Selectivity Push with Power.

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.

CoRR, 2016

Kernelized Sparse Self-Representation for Clustering and Recommendation.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015

A Comprehensive Survey of Neighborhood-Based Recommendation Methods.

Proceedings of the Recommender Systems Handbook, 2015

Multi-Perspective Modeling for Click Event Prediction.

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Recent Advances in Recommender Systems and Future Directions.

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Hierarchical Sparse Dictionary Learning.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Discover and Tame Long-running Idling Processes in Enterprise Systems.

Proceedings of the 10th ACM Symposium on Information, 2015

2014

Interpretable Sparse High-Order Boltzmann Machines.

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

FISM: factored item similarity models for top-N recommender systems.

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Improved Machine Learning Models for Predicting Selective Compounds.

Journal of Chemical Information and Modeling, 2012

Improved Machine Learning Models for Predicting Selective Compounds.

Journal of Chemical Information and Modeling, 2012

Multi-view learning via probabilistic latent semantic analysis.

Inf. Sci., 2012

Sparse linear methods with side information for Top-N recommendations.

Proceedings of the 21st World Wide Web Conference, 2012

Sparse linear methods with side information for top-n recommendations.

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Semi-Supervised Convolution Graph Kernels for Relation Extraction.

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

SLIM: Sparse Linear Methods for Top-N Recommender Systems.

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Improved machine learning models for predicting selective compounds.

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

Trends in Chemical Graph Data Mining.

Proceedings of the Managing and Mining Graph Data, 2010

Multi-task Learning for Recommender System.

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets.

Journal of Chemical Information and Modeling, 2009

The Set Classification Problem and Solution Methods.

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

The Set Classification Problem and Solution Methods.

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005

Scalable Parallel Quadrilateral Mesh Generation Coupled with Mesh Partitioning.

Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005