Lei Yu

According to our database1, Lei Yu
  • authored at least 32 papers between 2002 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
RHMD: evasion-resilient hardware malware detectors.
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2015
Predictive feature selection for genetic policy search.
Autonomous Agents and Multi-Agent Systems, 2015

CFQI: Fitted Q-Iteration with Complex Returns.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Improving Approximate Value Iteration with Complex Returns by Bounding.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Exploiting Multi-step Sample Trajectories for Approximate Value Iteration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Stable Gene Selection from Microarray Data via Sample Weighting.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

A variance reduction framework for stable feature selection.
Statistical Analysis and Data Mining, 2012

Progressive Mining of Transition Dynamics for Autonomous Control.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Sample aware embedded feature selection for reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Embedded Incremental Feature Selection for Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Margin Based Sample Weighting for Stable Feature Selection.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

A Variance Reduction Framework for Stable Feature Selection.
Proceedings of the ICDM 2010, 2010

2009
Feature cluster selection for high-throughput data analysis.
IJDMB, 2009

Kernel-Based Transductive Learning with Nearest Neighbors.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Stable and Accurate Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Consensus group stable feature selection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Stable feature selection via dense feature groups.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using Visual Features for Fine-Grained Genre Classification of Web Pages.
Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

2007
Toward optimal selection of feature clusters.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Visual features in genre classification of html.
Proceedings of the HYPERTEXT 2007, 2007

Feature Cluster Selection for High-Throughput Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Towards Answering How do I Questions Using Classification.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2005
Toward Integrating Feature Selection Algorithms for Classification and Clustering.
IEEE Trans. Knowl. Data Eng., 2005

Evolving Feature Selection.
IEEE Intelligent Systems, 2005

2004
Efficient Feature Selection via Analysis of Relevance and Redundancy.
Journal of Machine Learning Research, 2004

A selective sampling approach to active feature selection.
Artif. Intell., 2004

Redundancy based feature selection for microarray data.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Active Sampling: An Effective Approach to Feature Selection.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Active Feature Selection Using Classes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Efficiently handling feature redundancy in high-dimensional data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution.
Proceedings of the Machine Learning, 2003

2002
Feature Selection with Selective Sampling.
Proceedings of the Machine Learning, 2002


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