Zhongfei (Mark) Zhang

According to our database1, Zhongfei (Mark) Zhang authored at least 65 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Efficient Network Representations Learning: An Edge-Centric Perspective.
Proceedings of the Knowledge Science, Engineering and Management, 2019

2018
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Image Annotation Retrieval with Text-Domain Label Denoising.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017
Boosted Zero-Shot Learning with Semantic Correlation Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning with Feature Network and Label Network Simultaneously.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Doubly Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-View Learning with Limited and Noisy Tagging.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semisupervised Autoencoder for Sentiment Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning with Marginalized Corrupted Features and Labels Together.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Sensor network partitioning based on homogeneity.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Scalable Nonnegative Matrix Factorization with Block-wise Updates.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Learning with limited and noisy tagging.
Proceedings of the ACM Multimedia Conference, 2013

Bayesian Multi-Task Relationship Learning with Link Structure.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Scientific articles recommendation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Discriminative feature selection for multi-view cross-domain learning.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Unsupervised Ensemble Learning for Mining Top-n Outliers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Multi-view learning from imperfect tagging.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Mining noisy tagging from multi-label space.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
RKOF: Robust Kernel-Based Local Outlier Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Mining partially annotated images.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Overview of ACM international workshop on connected multimedia.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Local Outlier Detection Based on Kernel Regression.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008
A General Model for Multiple View Unsupervised Learning.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Learning Based on Semiparametric Regularization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Mining Bulletin Board Systems Using Community Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Supervised Learning for Head Pose Estimation Using SVD and Gabor Wavelets.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Dirichlet Process Based Evolutionary Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Clustering on Complex Graphs.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A probabilistic framework for relational clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Relational clustering by symmetric convex coding.
Proceedings of the Machine Learning, 2007

Community Learning by Graph Approximation.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Graph Partitioning Based on Link Distributions.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Unsupervised learning on k-partite graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Spectral clustering for multi-type relational data.
Proceedings of the Machine Learning, 2006

Automatic Medical Image Annotation and Retrieval using SEMI-SECC.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Improve Web Search Using Image Snippets.
Proceedings of the Proceedings, 2006

2005
Co-clustering by block value decomposition.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Combining Multiple Clusterings by Soft Correspondence.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Comparing various algorithms for discovering social groups with uni-party data.
Proceedings of the Data Mining, 2005

Semi-Supervised Learning Based Object Detection in Aerial Imagery.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
A multimodal approach to time-invariant scene retrieval from single overhead image.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

A data mining approach to modeling relationships among categories in image collection.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A Bayesian Framework for Automatic Concept Discovery in Image Collections.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Region Based a-Semantics Graph Driven Image Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Systematic Static Shadow Detection.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semantic repository modeling in image database.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval.
Proceedings of the Computer Vision, 2004

Hidden Semantic Concept Discovery in Region Based Image Retrieval.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously.
Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

Applying data mining in investigating money laundering crimes.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Person Name Identification in Chinese Documents Using Finite State Automata.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

"Automatic" Multimodal Medical Image Fusion.
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

2001
IBMAS: An Internet Based Medical Archive System.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

A Web-Based Multimedia Diabetes Mellitus Education Tool for School Nurses.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

2000
Applications of Image Understanding in Semantics-Oriented Multimedia Information Retrieval.
Proceedings of the 2000 International Symposium on Multimedia Software Engineering, 2000


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