Wei Fan

According to our database1, Wei Fan authored at least 155 papers between 1999 and 2019.

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Bibliography

2019
The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.
J. Medical Systems, 2019

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining.
Int. J. Data Sci. Anal., 2019

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.
CoRR, 2019

Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images.
IEEE Access, 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
Proceedings of the World Wide Web Conference, 2019

MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Question Difficulty Prediction for Multiple Choice Problems in Medical Exams.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-grained Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bagging.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

On the Generation of Medical Question-Answer Pairs.
CoRR, 2018

Finding Similar Medical Questions from Question Answering Websites.
CoRR, 2018

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR, 2018

AURORA: Auditing PageRank on Large Graphs.
CoRR, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

On the Generative Discovery of Structured Medical Knowledge.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

AURORA: Auditing PageRank on Large Graphs.
Proceedings of the IEEE International Conference on Big Data, 2018

Online Density Estimation over Streaming Data: A Local Adaptive Solution.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks.
IEEE Trans. Mob. Comput., 2017

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization.
IEEE Trans. Knowl. Data Eng., 2017

Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Extremely Fast Decision Tree Mining for Evolving Data Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

iNEAT: Incomplete Network Alignment.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Bringing semantic structures to user intent detection in online medical queries.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition.
IEEE Trans. Neural Netw. Learning Syst., 2016

Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016

Variational hybridization and transformation for large inaccurate noisy-or networks.
CoRR, 2016

The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication.
Computational Biology and Chemistry, 2016

Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

iPath: Forecasting the Pathway to Impact.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

IoT Big Data Stream Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

QUINT: On Query-Specific Optimal Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Reliable Information from Passively and Actively Crowdsourced Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multi-source Hierarchical Prediction Consolidation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
A Survey on Truth Discovery.
SIGKDD Explorations, 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
PVLDB, 2015

Iterative sampling based frequent itemset mining for big data.
Int. J. Machine Learning & Cybernetics, 2015

Detecting Marionette Microblog Users for Improved Information Credibility.
J. Comput. Sci. Technol., 2015

Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization.
CoRR, 2015

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

OnlineCM: Real-time Consensus Classification with Missing Values.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Fast Mining of a Network of Coevolving Time Series.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Random Decision Hashing for Massive Data Learning.
Proceedings of the 4th International Workshop on Big Data, 2015

Flexible and Robust Multi-Network Clustering.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Facets: Fast Comprehensive Mining of Coevolving High-order Time Series.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

StreamDM: Advanced Data Mining in Spark Streaming.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
User behavior learning and transfer in composite social networks.
TKDD, 2014

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
PVLDB, 2014

Friendship Prediction in Composite Social Networks.
CoRR, 2014

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.
CoRR, 2014

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014

Adaptive User Distance Modeling in Social Media.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Class-distribution regularized consensus maximization for alleviating overfitting in model combination.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inside the atoms: ranking on a network of networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Preface.
Proceedings of the 3rd International Workshop on Big Data, 2014

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Ensemble Learning.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Transfer across Completely Different Feature Spaces via Spectral Embedding.
IEEE Trans. Knowl. Data Eng., 2013

A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.
IEEE Trans. Knowl. Data Eng., 2013

Batch Mode Active Sampling Based on Marginal Probability Distribution Matching.
TKDD, 2013

Query-dependent cross-domain ranking in heterogeneous network.
Knowl. Inf. Syst., 2013

Dynamic Shaker Detection from Evolving Entities.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Modeling the dynamics of composite social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

NIM: Scalable Distributed Stream Processing System on Mobile Network Data.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

Joint Transfer and Batch-mode Active Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Multilabel Consensus Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Multisource domain adaptation and its application to early detection of fatigue.
TKDD, 2012

Mining big data: current status, and forecast to the future.
SIGKDD Explorations, 2012

A framework to represent and mine knowledge evolution from Wikipedia revisions.
Proceedings of the 21st World Wide Web Conference, 2012

Contextual Collaborative Filtering via Hierarchical Matrix Factorization.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

A general framework to encode heterogeneous information sources for contextual pattern mining.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Discovering shakers from evolving entities via cascading graph inference.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Dual active feature and sample selection for graph classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multi-source domain adaptation and its application to early detection of fatigue.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification.
BMC Bioinformatics, 2010

Predictive Modeling with Heterogeneous Sources.
Proceedings of the SIAM International Conference on Data Mining, 2010

Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Efficient and Numerically Stable Sparse Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

On community outliers and their efficient detection in information networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation.
Proceedings of the ICDM 2010, 2010

Efficient Semi-supervised Spectral Co-clustering with Constraints.
Proceedings of the ICDM 2010, 2010

2009
Bagging.
Proceedings of the Encyclopedia of Database Systems, 2009

Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation.
I. J. Computational Biology and Drug Design, 2009

Latent space domain transfer between high dimensional overlapping distributions.
Proceedings of the 18th International Conference on World Wide Web, 2009

Universal Learning over Related Distributions and Adaptive Graph Transduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Relaxed Transfer of Different Classes via Spectral Partition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Cross domain distribution adaptation via kernel mapping.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Heterogeneous source consensus learning via decision propagation and negotiation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Heterogeneous cross domain ranking in latent space.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond.
Knowl. Inf. Syst., 2008

Classifying Data Streams with Skewed Class Distributions and Concept Drifts.
IEEE Internet Computing, 2008

Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing.
Proceedings of the SIAM International Conference on Data Mining, 2008

Actively Transfer Domain Knowledge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Forward Semi-supervised Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Knowledge transfer via multiple model local structure mapping.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Direct mining of discriminative and essential frequent patterns via model-based search tree.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Graph-Based Iterative Hybrid Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

On Appropriate Assumptions to Mine Data Streams: Analysis and Practice.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
When Efficient Model Averaging Out-Performs Boosting and Bagging.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

A general framework for accurate and fast regression by data summarization in random decision trees.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Reverse testing: an efficient framework to select amongst classifiers under sample selection bias.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Using artificial anomalies to detect unknown and known network intrusions.
Knowl. Inf. Syst., 2004

StreamMiner: A Classifier Ensemble-based Engine to Mine Concept-drifting Data Streams.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

A Fast Algorithm for Subspace Clustering by Pattern Similarity.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

Active Mining of Data Streams.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Systematic data selection to mine concept-drifting data streams.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Mining Extremely Skewed Trading Anomalies.
Proceedings of the Advances in Database Technology, 2004

On the Optimality of Probability Estimation by Random Decision Trees.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
ViST: A Dynamic Index Method for Querying XML Data by Tree Structures.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

Mining concept-drifting data streams using ensemble classifiers.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Inductive Learning in Less Than One Sequential Data Scan.
Proceedings of the IJCAI-03, 2003

Is random model better? On its accuracy and efficiency.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Indexing Weighted-Sequences in Large Databases.
Proceedings of the 19th International Conference on Data Engineering, 2003

Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies.
Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS 2003), 2003

2002
Toward Cost-Sensitive Modeling for Intrusion Detection and Response.
Journal of Computer Security, 2002

A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Ensemble-based Adaptive Intrusion Detection.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Progressive Modeling.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

A Fully Distributed Framework for Cost-Sensitive Data Mining.
Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS'02), 2002

An Index Structure for Pattern Similarity Searching in DNA Microarray Dat.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project.
SIGMOD Record, 2001

Mining System Audit Data: Opportunities and Challenges.
SIGMOD Record, 2001

2000
A Multiple Model Cost-Sensitive Approach for Intrusion Detection.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999
The Application of AdaBoost for Distributed, Scalable and On-Line Learning.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

AdaCost: Misclassification Cost-Sensitive Boosting.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999


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