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 226 papers
between 1998 and 2024.
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Bibliography
2024
J. Supercomput., March, 2024
2023
Torque-Type Backlash Inverse Control for an Electromechanical Actuator With Active Disturbance Rejection.
IEEE Access, 2023
2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
ACM Trans. Knowl. Discov. Data, 2022
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.
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
IEEE Trans. Knowl. Data Eng., 2021
Int. J. Mach. Learn. Cybern., 2021
CoRR, 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
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
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
ACM Trans. Knowl. Discov. Data, 2020
IEEE Trans. Big Data, 2020
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.
CoRR, 2020
CoRR, 2020
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
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
Proceedings of the 28th International Conference on Computational Linguistics, 2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
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
IEEE Trans. Knowl. Data Eng., 2018
Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation.
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
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
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
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
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
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
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
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
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
ACM Trans. Knowl. Discov. Data, 2016
J. Syst. Softw., 2016
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
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
SIAM J. Sci. Comput., 2015
Proc. VLDB Endow., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Int. J. Mach. Learn. Cybern., 2015
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
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
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 4th International Workshop on Big Data, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
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 (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
ACM Trans. Knowl. Discov. Data, 2014
IEEE Trans. Dependable Secur. Comput., 2014
Proc. VLDB Endow., 2014
NeuroImage, 2014
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.
CoRR, 2014
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
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
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
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
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
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
ACM Trans. Knowl. Discov. Data, 2013
Knowl. Inf. Syst., 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
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
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
ACM Trans. Knowl. Discov. Data, 2012
Proceedings of the 21st World Wide Web Conference, 2012
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
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
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
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
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
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
Proceedings of the SIAM International Conference on Data Mining, 2010
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
2009
Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation.
Int. J. Comput. Biol. Drug Des., 2009
Proceedings of the 18th International Conference on World Wide Web, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
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
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Knowl. Inf. Syst., 2008
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
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
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
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
2006
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
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
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
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
2004
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
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004
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
Proceedings of the Advances in Database Technology, 2004
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the IJCAI-03, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Proceedings of the 19th International Conference on Data Engineering, 2003
Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS 2003), 2003
2002
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
Proceedings of the Second SIAM International Conference on Data Mining, 2002
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
Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS'02), 2002
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
2001
SIGMOD Rec., 2001
2000
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000
1999
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