Wenlin Chen

According to our database1, Wenlin Chen authored at least 24 papers between 2012 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Multi-Scale Convolutional Neural Networks for Time Series Classification.
CoRR, 2016

Deep Metric Learning with Data Summarization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Compressing Convolutional Neural Networks in the Frequency Domain.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Strategies for Training Large Vocabulary Neural Language Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Nonlinear Metric Learning with Kernel Density Estimation.
IEEE Trans. Knowl. Data Eng., 2015

Compressing Convolutional Neural Networks.
CoRR, 2015

Compressing Neural Networks with the Hashing Trick.
CoRR, 2015

Strategies for Training Large Vocabulary Neural Language Models.
CoRR, 2015

A unifying learning framework for building artificial game-playing agents.
Ann. Math. Artif. Intell., 2015

Fast Distributed k-Center Clustering with Outliers on Massive Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Action Extraction for Random Forests and Boosted Trees.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Compressing Neural Networks with the Hashing Trick.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.
Proceedings of the AMIA 2015, 2015

Filtered Search for Submodular Maximization with Controllable Approximation Bounds.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing.
CoRR, 2014

Fast flux discriminant for large-scale sparse nonlinear classification.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Feature-Cost Sensitive Learning with Submodular Trees of Classifiers.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Density-based logistic regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Maximum Variance Correction with Application to A* Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

Kernel Density Metric Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Utilizing Landmarks in Euclidean Heuristics for Optimal Planning.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Goal-Oriented Euclidean Heuristics with Manifold Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
An integrated data mining approach to real-time clinical monitoring and deterioration warning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012


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