Wei Fan

Affiliations:
  • Tencent Medical AI Lab, Palo Alto, CA, USA
  • Baidu Research Big Data Lab, Sunnyvale, CA, USA
  • Huawei Noah Ark's Lab, Hong Kong
  • IBM Thomas J. Watson Research Center, Hawthorne, NY, USA
  • Columbia University, NY, USA (PhD 2001)


According to our database1, Wei Fan authored at least 253 papers between 1998 and 2024.

Collaborative distances:

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Bibliography

2024
Temporal-order association-based dynamic graph evolution for recommendation.
J. Supercomput., March, 2024

Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection.
CoRR, 2024

A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network.
CoRR, 2024

2023
SpanMTL: a span-based multi-table labeling for aspect-oriented fine-grained opinion extraction.
Soft Comput., 2023

Torque-Type Backlash Inverse Control for an Electromechanical Actuator With Active Disturbance Rejection.
IEEE Access, 2023

Multi-scale Convolutional Feature Approximation for Defocus Blur Detection.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Background-Mixed Augmentation for Weakly Supervised Change Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
ACM Trans. Knowl. Discov. Data, 2022

Selecting change image for efficient change detection.
IET Signal Process., 2022

Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.
CoRR, 2022

IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection.
CoRR, 2022

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Modeling Behavior and Attribute feedback based Flight Recommendation for Dynamic Pricing.
Proceedings of the IEEE Smartworld, 2022

2021
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.
IEEE Trans. Medical Imaging, 2021

Graph Ranking Auditing: Problem Definition and Fast Solutions.
IEEE Trans. Knowl. Data Eng., 2021

Adaptive robust local online density estimation for streaming data.
Int. J. Mach. Learn. Cybern., 2021

Change detection with various combinations of fluid pyramid integration networks.
Neurocomputing, 2021

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection.
CoRR, 2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model.
CoRR, 2021

Order-guided deep neural network for emotion-cause pair prediction.
Appl. Soft Comput., 2021

Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Test-Time Training for Deformable Multi-Scale Image Registration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multiplex Graph Neural Network for Extractive Text Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

U-BERT: Pre-training User Representations for Improved Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Incomplete Network Alignment: Problem Definitions and Fast Solutions.
ACM Trans. Knowl. Discov. Data, 2020

Extracting Medical Knowledge from Crowdsourced Question Answering Website.
IEEE Trans. Big Data, 2020

Automatic keyphrase extraction using word embeddings.
Soft Comput., 2020

A network representation method based on edge information extraction.
Soft Comput., 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.
CoRR, 2020

Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images.
CoRR, 2020

Partly Supervised Multitask Learning.
CoRR, 2020

Analysis of Scoliosis From Spinal X-Ray Images.
CoRR, 2020

Crowd Teaching with Imperfect Labels.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Commonsense Evidence Generation and Injection in Reading Comprehension.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Prophet Attention: Predicting Attention with Future Attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Bridging the Gap between Vision and Language Domains for Improved Image Captioning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Entity Synonym Discovery via Multipiece Bilateral Context Matching.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Partly Supervised Multi-Task Learning.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Automatic Distractor Generation for Multiple Choice Questions in Standard Tests.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Fully-Automated Analysis of Scoliosis from Spinal X-Ray Images.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

CorGAN: Context aware Recurrent Generative Adversarial Network for Medical Image Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Object-Guided Instance Segmentation for Biological Images.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

On the Generation of Medical Question-Answer Pairs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Federated Learning for Vision-and-Language Grounding Problems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

PSENet: Psoriasis Severity Evaluation Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

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

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking.
CoRR, 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

A Better Understanding of the Interaction Between Users and Items by Knowledge Graph Learning for Temporal Recommendation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Predicting Scientific Impact via Heterogeneous Academic Network Embedding.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Extracting Keyphrases from Research Papers Using Word Embeddings.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis.
Proceedings of the 30th British Machine Vision Conference 2019, 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

ComClus: A Self-Grouping Framework for Multi-Network Clustering.
IEEE Trans. Knowl. Data Eng., 2018

Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation.
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

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation.
CoRR, 2018

AURORA: Auditing PageRank on Large Graphs.
CoRR, 2018

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 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

Local Graph Clustering by Multi-network Random Walk with Restart.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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 (IEEE BigData 2018), 2018

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

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification.
CoRR, 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

Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

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

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

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

Mining Dual Networks: Models, Algorithms, and Applications.
ACM Trans. Knowl. Discov. Data, 2016

SAND: A fault-tolerant streaming architecture for network traffic analytics.
J. Syst. Softw., 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.
Comput. Biol. Chem., 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

<i>iPath: </i> 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

Self-Grouping Multi-network Clustering.
Proceedings of the IEEE 16th International Conference on 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 Explor., 2015

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion.
SIAM J. Sci. Comput., 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
Proc. VLDB Endow., 2015

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Iterative sampling based frequent itemset mining for big data.
Int. J. Mach. Learn. Cybern., 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

<i>Cheetah</i>: 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

Piecewise linear approximation of streaming time series data with max-error guarantees.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

VENUS: Vertex-centric streamlined graph computation on a single PC.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
User behavior learning and transfer in composite social networks.
ACM Trans. Knowl. Discov. Data, 2014

A Random Decision Tree Framework for Privacy-Preserving Data Mining.
IEEE Trans. Dependable Secur. Comput., 2014

Design and Implementation of a Real-Time Interactive Analytics System for Large Spatio-Temporal Data.
Proc. VLDB Endow., 2014

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
Proc. VLDB Endow., 2014

Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage, 2014

Friendship Prediction in Composite Social Networks.
CoRR, 2014

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

OceanRT: real-time analytics over large temporal data.
Proceedings of the International Conference on Management of Data, 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

Supervised deep learning with auxiliary networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Efficient multi-task feature learning with calibration.
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

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Rank-One Matrix Pursuit for Matrix Completion.
Proceedings of the 31th International Conference on Machine Learning, 2014

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

Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 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

Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction.
ACM Trans. Knowl. Discov. Data, 2013

Batch Mode Active Sampling Based on Marginal Probability Distribution Matching.
ACM Trans. Knowl. Discov. Data, 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

An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
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.
ACM Trans. Knowl. Discov. Data, 2012

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

ComSoc: adaptive transfer of user behaviors over composite social network.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

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

Tutorial: Data Stream Mining and Its Applications.
Proceedings of the Database Systems for Advanced Applications, 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

Sembler: Ensembling Crowd Sequential Labeling for Improved Quality.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Chernoff Dimensionality Reduction-Where Fisher Meets FKT.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

ShareBoost: Boosting for Multi-view Learning with Performance Guarantees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Connecting users with similar interests via tag network inference.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

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

Analysis of Chernoff criterion for linear dimensionality reduction.
Proceedings of the IEEE International Conference on Systems, 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

The next generation of transportation systems, greenhouse emissions, and data mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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.
Int. J. Comput. Biol. Drug Des., 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
Ozone Level Detection.
Dataset, April, 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 Comput., 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
Maximizing Tree Diversity by Building Complete-Random Decision Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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.
J. Comput. Secur., 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 Rec., 2001

Mining System Audit Data: Opportunities and Challenges.
SIGMOD Rec., 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
Distributed data mining in credit card fraud detection.
IEEE Intell. Syst., 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

1998
KDD Cup 1999 Data.
Dataset, December, 1998


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