Fuzhen Zhuang

According to our database1, Fuzhen Zhuang
  • authored at least 76 papers between 2008 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017

Recommendation in heterogeneous information network via dual similarity regularization.
I. J. Data Science and Analytics, 2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Representation Learning with Pair-wise Constraints for Collaborative Ranking.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Transfer Learning with Manifold Regularized Convolutional Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Mining Precise-Positioning Episode Rules from Event Sequences.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Local Ensemble across Multiple Sources for Collaborative Filtering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Integrating heterogeneous information via flexible regularization framework for recommendation.
Knowl. Inf. Syst., 2016

Bag of little bootstraps on features for enhancing classification performance.
Intell. Data Anal., 2016

Expenditure Aware Rating Prediction for Recommendation.
CoRR, 2016

RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density.
CoRR, 2016

Aspect Mining with Rating Bias.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Dual Similarity Regularization for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Tag correlation and user social relation based microblog recommendation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online Bayesian Max-Margin Subspace Multi-View Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Expenditure aware rating prediction for recommendation.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
QPLSA: Utilizing quad-tuples for aspect identification and rating.
Inf. Process. Manage., 2015

Learning deep representations via extreme learning machines.
Neurocomputing, 2015

Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval.
Neurocomputing, 2015

Parallel sampling from big data with uncertainty distribution.
Fuzzy Sets and Systems, 2015

Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation.
CoRR, 2015

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Improving ESVM with Generalized Cross-Validation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Online Frequent Episode Mining.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Bayesian Maximum Margin Principal Component Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybernetics, 2014

Combining supervised and unsupervised models via unconstrained probabilistic embedding.
Inf. Sci., 2014

Clustering in extreme learning machine feature space.
Neurocomputing, 2014

Discovering and learning sensational episodes of news events.
Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable bootstrap clustering for massive data.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Parallel feature selection using positive approximation based on MapReduce.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Nonparametric Bayesian Multi-Task Large-margin Classification.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization.
Knowl.-Based Syst., 2013

Parallel extreme learning machine for regression based on MapReduce.
Neurocomputing, 2013

Particle swarm optimization using dimension selection methods.
Applied Mathematics and Computation, 2013

Triplex transfer learning: exploiting both shared and distinct concepts for text classification.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Shared Structure Learning for Multiple Tasks with Multiple Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Extreme Learning Machine combining matrix factorization for collaborative filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework.
Proceedings of the IJCAI 2013, 2013

A New Similarity Measure Based on Preference Sequences for Collaborative Filtering.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification".
IEEE Trans. Knowl. Data Eng., 2012

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification.
IEEE Trans. Knowl. Data Eng., 2012

Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci., 2012

Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Parallel Decision Tree with Application to Water Quality Data Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Effectively Constructing Reliable Data for Cross-Domain Text Classification.
Proceedings of the Intelligent Information Processing VI, 2012

Improving Transfer Learning by Introspective Reasoner.
Proceedings of the Intelligent Information Processing VI, 2012

PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce.
Proceedings of the Intelligent Information Processing VI, 2012

Fast Time Series Classification Based on Infrequent Shapelets.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Multi-task Semi-supervised Semantic Feature Learning for Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

TINAC: A fast and effective web video topic detection framework.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Exploiting associations between word clusters and document classes for cross-domain text categorization.
Statistical Analysis and Data Mining, 2011

A parallel incremental extreme SVM classifier.
Neurocomputing, 2011

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding.
Proceedings of the IJCAI 2011, 2011

Parallel Outlier Detection Using KD-Tree Based on MapReduce.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective.
IEEE Trans. Knowl. Data Eng., 2010

Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization.
Proceedings of the SIAM International Conference on Data Mining, 2010

Parallel Implementation of Classification Algorithms Based on MapReduce.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Local Bayesian Based Rejection Method for HSC Ensemble.
Proceedings of the Advances in Neural Networks, 2010

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification.
Proceedings of the ICDM 2010, 2010

A noise handling method for hyper surface classification.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Effectively Leveraging Entropy and Relevance for Summarization.
Proceedings of the Information Retrieval Technology, 2010

2008
Transfer learning from multiple source domains via consensus regularization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008


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