W. Fan

发表

Empirical comparison of various reinforcement learning strategies for sequential targeted marketing

Haixun Wang, Naoki Abe, Bianca Zadrozny, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning

Qiang Yang, Wei Fan, Jiangtao Ren, 2010, ECML/PKDD.

Actively Transfer Domain Knowledge

Wei Fan, Jiangtao Ren, Xiaoxiao Shi, 2008, ECML/PKDD.

An improved categorization of classifier's sensitivity on sample selection bias

Philip S. Yu, Ian Davidson, Bianca Zadrozny, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Alu distribution and mutation types of cancer genes

W. Fan, P. Deininger, Kun Zhang, 2011, BMC Genomics.

Cross domain distribution adaptation via kernel mapping

Deepak S. Turaga, Kun Zhang, Jing Peng, 2009, KDD.

Business Process Optimization

Zhi-Hua Zhou, Goetz Graefe, Sameer Antani, 2002, Encyclopedia of Database Systems.

Inferring the expression variability of human transposable element-derived exons by linear model analysis of deep RNA sequencing data

W. Fan, P. Deininger, Kun Zhang, 2013, BMC Genomics.

Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond

Kun Zhang, Wei Fan, W. Fan, 2008, Knowledge and Information Systems.

Mining concept-drifting data streams using ensemble classifiers

Philip S. Yu, Jiawei Han, Haixun Wang, 2003, KDD '03.

Indexing weighted-sequences in large databases

Philip S. Yu, Haixun Wang, Wei Fan, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

An index structure for pattern similarity searching in DNA microarray data

Philip S. Yu, Haixun Wang, Wei Fan, 2002, Proceedings. IEEE Computer Society Bioinformatics Conference.

In Silico Target-Specific siRNA Design Based on Domain Transfer in Heterogeneous Data

Philip S. Yu, Wei Fan, Ruixin Zhu, 2012, PloS one.

On the Optimality of Probability Estimation by Random Decision Trees

Wei Fan, W. Fan, 2004, AAAI.

Transfer across Completely Different Feature Spaces via Spectral Embedding

Philip S. Yu, Qi Liu, Wei Fan, 2013, IEEE Transactions on Knowledge and Data Engineering.

Predictive Modeling with Heterogeneous Sources

Philip S. Yu, Qiang Yang, Qi Liu, 2010, SDM.

Heterogeneous source consensus learning via decision propagation and negotiation

Yizhou Sun, Jiawei Han, Wei Fan, 2009, KDD.

Knowledge transfer via multiple model local structure mapping

Jiawei Han, Wei Fan, Jing Gao, 2008, KDD.

Forward Semi-supervised Feature Selection

Philip S. Yu, Hong Cheng, Wei Fan, 2008, PAKDD.

The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication

Kun Zhang, Wensheng Zhang, Wei Fan, 2016, Comput. Biol. Chem..

svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification

D. Zhu, W. Fan, Andrea Edwards, 2010, BMC Bioinformatics.

Multisource domain adaptation and its application to early detection of fatigue

Jieping Ye, R. Chattopadhyay, I. Davidson, 2012, TKDD.

Multi-source domain adaptation and its application to early detection of fatigue

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2011, KDD.

Is random model better? On its accuracy and efficiency

Philip S. Yu, Haixun Wang, Wei Fan, 2003, Third IEEE International Conference on Data Mining.

Progressive modeling

Philip S. Yu, Salvatore J. Stolfo, Haixun Wang, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation

Philip S. Yu, Qi Liu, Wei Fan, 2010, 2010 IEEE International Conference on Data Mining.

Direct mining of discriminative and essential frequent patterns via model-based search tree

Philip S. Yu, Kun Zhang, Jiawei Han, 2008, KDD.

Connecting users with similar interests via tag network inference

Huan Liu, Wei Fan, Xufei Wang, 2011, CIKM '11.

The next generation of transportation systems,greenhouse emissions, and data mining

João Gama, Hillol Kargupta, Wei Fan, 2010, KDD.

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection

Philip S. Yu, Kun Zhang, Wei Fan, 2014, 2014 IEEE International Conference on Data Mining.

Relaxed Transfer of Different Classes via Spectral Partition

Qiang Yang, Wei Fan, Jiangtao Ren, 2009, ECML/PKDD.

Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing

Philip S. Yu, Wei Fan, Jiangtao Ren, 2008, SDM.

Reverse testing: an efficient framework to select amongst classifiers under sample selection bias

Ian Davidson, Wei Fan, I. Davidson, 2006, KDD '06.

A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships

Deepak S. Turaga, Jiawei Han, Wei Fan, 2011, 2011 IEEE 11th International Conference on Data Mining.

Classifying Data Streams with Skewed Class Distributions and Concept Drifts

Philip S. Yu, Jiawei Han, Wei Fan, 2008, IEEE Internet Computing.

On Appropriate Assumptions to Mine Data Streams: Analysis and Practice

Jiawei Han, Wei Fan, Jing Gao, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Generalized and Heuristic-Free Feature Construction for Improved Accuracy

Rong Yan, Qiang Yang, Kun Zhang, 2010, SDM.

Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions

Kun Zhang, Ian Davidson, Wei Fan, 2006, Sixth International Conference on Data Mining (ICDM'06).

Systematic data selection to mine concept-drifting data streams

Wei Fan, W. Fan, 2004, KDD.

Adaptive robust local online density estimation for streaming data

Wei Fan, Zhide Fang, Andrea Edwards, 2021, International Journal of Machine Learning and Cybernetics.

miRNA-mRNA Correlation-Network Modules in Human Prostate Cancer and the Differences between Primary and Metastatic Tumor Subtypes

Wei Fan, Andrea Edwards, Erik K. Flemington, 2012, PloS one.

Dual active feature and sample selection for graph classification

Philip S. Yu, Wei Fan, Xiangnan Kong, 2011, KDD.

Bagging

Wei Fan, Kun Zhang, Wei Fan, 2009, Encyclopedia of Machine Learning.

Pruning and dynamic scheduling of cost-sensitive ensembles

Philip S. Yu, Haixun Wang, Wei Fan, 2002, AAAI/IAAI.

Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation

Kun Zhang, Wei Fan, Bill P. Buckles, 2006, Sixth International Conference on Data Mining (ICDM'06).

Inductive Learning in Less Than One Sequential Data Scan

Philip S. Yu, Haixun Wang, Wei Fan, 2003, IJCAI.

Batch mode active sampling based on marginal probability distribution matching

Sethuraman Panchanathan, Jieping Ye, Ian Davidson, 2012, TKDD.

Active Mining of Data Streams

Philip S. Yu, Haixun Wang, Wei Fan, 2004, SDM.

Forecasting skewed biased stochastic ozone days : analyses , solutions and beyond

W. Fan, Kun Zhang, 2008 .

Cross-feature analysis for detecting ad-hoc routing anomalies

Philip S. Yu, Wei Fan, Wenke Lee, 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

When Efficient Model Averaging Out-Performs Boosting and Bagging

Ian Davidson, Wei Fan, I. Davidson, 2006, PKDD.

Effective estimation of posterior probabilities: explaining the accuracy of randomized decision tree approaches

Philip S. Yu, Wei Fan, Ed Greengrass, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction

Guna Seetharaman, Jing Peng, Aparna S. Varde, 2013, TKDD.

Chernoff Dimensionality Reduction-Where Fisher Meets FKT

Guna Seetharaman, Jing Peng, Stefan A. Robila, 2011, SDM.

A general framework for accurate and fast regression by data summarization in random decision trees

Philip S. Yu, Wei Fan, Joe McCloskey, 2006, KDD '06.

Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection

Deepak S. Turaga, Jiawei Han, Wei Fan, 2011, 2011 Proceedings IEEE INFOCOM.

Systematic data selection to mine concept-drifting data streams

W. Fan, 2004, KDD.

CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning

Zhong Chen, Kun Zhang, Wei Fan, 2017, SDM.

ShareBoost: Boosting for Multi-view Learning with Performance Guarantees

Guna Seetharaman, Jing Peng, Costin Barbu, 2011, ECML/PKDD.

An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing

Philip S. Yu, Wei Fan, Sihong Xie, 2012, SDM.

svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification

Kun Zhang, Wensheng Zhang, Wei Fan, 2010, BMC Bioinformatics.

Analysis of Chernoff criterion for linear dimensionality reduction

Guna Seetharaman, Jing Peng, Stefan A. Robila, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.