Zenglin Xu

According to our database1, Zenglin Xu authored at least 80 papers between 2004 and 2019.

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

Timeline

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Links

On csauthors.net:

Bibliography

2019
Variational Random Function Model for Network Modeling.
IEEE Trans. Neural Netw. Learning Syst., 2019

Auto-weighted multi-view clustering via kernelized graph learning.
Pattern Recognition, 2019

Low-rank kernel learning for graph-based clustering.
Knowl.-Based Syst., 2019

Self-paced and soft-weighted nonnegative matrix factorization for data representation.
Knowl.-Based Syst., 2019

Self-paced multi-task clustering.
Neurocomputing, 2019

Parallel boosted clustering.
Neurocomputing, 2019

Semi-supervised deep embedded clustering.
Neurocomputing, 2019

2018
Manifold regularized matrix completion for multi-label learning with ADMM.
Neural Networks, 2018

Adaptive local structure learning for document co-clustering.
Knowl.-Based Syst., 2018

Self-weighted multi-view clustering with soft capped norm.
Knowl.-Based Syst., 2018

Robust multi-view data clustering with multi-view capped-norm K-means.
Neurocomputing, 2018

TensorD: A tensor decomposition library in TensorFlow.
Neurocomputing, 2018

Robust graph regularized nonnegative matrix factorization for clustering.
Data Min. Knowl. Discov., 2018

NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition.
Cognitive Computation, 2018

Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cognitive Computation, 2018

Semi-supervised DenPeak Clustering with Pairwise Constraints.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Superneurons: dynamic GPU memory management for training deep neural networks.
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Visualizing Multi-document Semantics via Open Domain Information Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Structured Inference for Recurrent Hidden Semi-markov Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Self-Paced Multi-Task Multi-View Capped-norm Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Neural Relational Topic Models for Scientific Article Analysis.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Learning With Incomplete Labels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Unified Spectral Clustering With Optimal Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Efficient Communications in Training Large Scale Neural Networks.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Link prediction by exploiting network formation games in exchangeable graphs.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Balanced self-paced learning with feature corruption.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning from semantically dependent multi-tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Simple and efficient parallelization for probabilistic temporal tensor factorization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Nonnegative matrix factorization with adaptive neighbors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robust Softmax Regression for Multi-class Classification with Self-Paced Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

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

2016
Manifold regularized matrix completion for multilabel classification.
Pattern Recognition Letters, 2016

Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning.
J. Artif. Intell. Res., 2016

Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

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

BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing.
Proceedings of the 2016 International Conference on Supercomputing, 2016

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.
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
Bayesian Nonparametric Models for Multiway Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Budget constrained non-monotonic feature selection.
Neural Networks, 2015

Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users.
Proceedings of the Computer Security - ESORICS 2015, 2015

Scalable Nonparametric Multiway Data Analysis.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Non-monotonic Feature Selection for Regression.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Kernel tapering: A simple and effective approach to sparse kernels for image processing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Detecting Insider Information Theft Using Features from File Access Logs.
Proceedings of the Computer Security - ESORICS 2014, 2014

2013
Exact and Stable Recovery of Pairwise Interaction Tensors.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011

Sparse matrix-variate Gaussian process blockmodels for network modeling.
Proceedings of the UAI 2011, 2011

Sparse Matrix-Variate t Process Blockmodels.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Discriminative semi-supervised feature selection via manifold regularization.
IEEE Trans. Neural Networks, 2010

Robust Metric Learning by Smooth Optimization.
Proceedings of the UAI 2010, 2010

Online Learning for Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Simple and Efficient Multiple Kernel Learning by Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Smooth Optimization for Effective Multiple Kernel Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
A novel kernel-based maximum a posteriori classification method.
Neural Networks, 2009

Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
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

Adaptive Regularization for Transductive Support Vector Machine.
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

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
Proceedings of the International Joint Conference on Neural Networks, 2009

Discriminative Semi-Supervised Feature Selection via Manifold Regularization.
Proceedings of the IJCAI 2009, 2009

Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
An Extended Level Method for Efficient Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Semi-supervised Learning from General Unlabeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

An Effective Approach to 3D Deformable Surface Tracking.
Proceedings of the Computer Vision, 2008

Semi-supervised text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Feature Selection Based on Minimum Error minimax Probability Machine.
IJPRAI, 2007

Web page classification with heterogeneous data fusion.
Proceedings of the 16th International Conference on World Wide Web, 2007

Efficient Convex Relaxation for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Maximum Margin based Semi-supervised Spectral Kernel Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

Kernel Maximum a Posteriori Classification with Error Bound Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2004
Feature Selection with Particle Swarms.
Proceedings of the Computational and Information Science, First International Symposium, 2004


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