Shenghuo Zhu

According to our database1, Shenghuo Zhu authored at least 137 papers between 2002 and 2018.

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Bibliography

2018
Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication.
CoRR, 2018

Large-scale Distance Metric Learning with Uncertainty.
CoRR, 2018

Learning with Non-Convex Truncated Losses by SGD.
CoRR, 2018

Robust Optimization over Multiple Domains.
CoRR, 2018

Multinomial Logit Bandit with Linear Utility Functions.
CoRR, 2018

PRNN: Recurrent Neural Network with Persistent Memory.
CoRR, 2018

Multinomial Logit Bandit with Linear Utility Functions.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Finding multiple stable clusterings.
Knowl. Inf. Syst., 2017

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM.
CoRR, 2017

The Opensesame NIST 2016 Speaker Recognition Evaluation System.
Proceedings of the Interspeech 2017, 2017

2016
On Data Preconditioning for Regularized Loss Minimization.
Machine Learning, 2016

One-pass AUC optimization.
Artif. Intell., 2016

2015
SmartSLA: Cost-Sensitive Management of Virtualized Resources for CPU-Bound Database Services.
IEEE Trans. Parallel Distrib. Syst., 2015

Regionlets for Generic Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

An efficient primal dual prox method for non-smooth optimization.
Machine Learning, 2015

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).
Machine Learning, 2015

Theory of Dual-sparse Regularized Randomized Reduction.
CoRR, 2015

Towards Making High Dimensional Distance Metric Learning Practical.
CoRR, 2015

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.
CoRR, 2015

Theory of Dual-sparse Regularized Randomized Reduction.
Proceedings of the 32nd International Conference on Machine Learning, 2015

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Finding Multiple Stable Clusterings.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Fine-grained visual categorization via multi-stage metric learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

2014
Combining Link and Content for Community Detection.
Encyclopedia of Social Network Analysis and Mining, 2014

A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks.
IEEE Trans. Knowl. Data Eng., 2014

Random Projections for Classification: A Recovery Approach.
IEEE Trans. Information Theory, 2014

Regret bounded by gradual variation for online convex optimization.
Machine Learning, 2014

On Data Preconditioning for Regularized Loss Minimization.
CoRR, 2014

A Simple Homotopy Proximal Mapping for Compressive Sensing.
CoRR, 2014

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization.
CoRR, 2014

CUR Algorithm with Incomplete Matrix Observation.
CoRR, 2014

Distance metric learning using dropout: a structured regularization approach.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Comparative Document Summarization via Discriminative Sentence Selection.
TKDD, 2013

FacetCube: a general framework for non-negative tensor factorization.
Knowl. Inf. Syst., 2013

SumView: A Web-based engine for summarizing product reviews and customer opinions.
Expert Syst. Appl., 2013

Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates
CoRR, 2013

One-Pass AUC Optimization
CoRR, 2013

A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent
CoRR, 2013

Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)
CoRR, 2013

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.
CoRR, 2013

Image segmentation for large-scale subcategory flower recognition.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

One-Pass AUC Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Predicting query execution time: Are optimizer cost models really unusable?
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Packing light: Portable workload performance prediction for the cloud.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Regionlets for Generic Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Efficient Object Detection and Segmentation for Fine-Grained Recognition.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Recovering the Optimal Solution by Dual Random Projection.
Proceedings of the COLT 2013, 2013

2012
Comparative document summarization via discriminative sentence selection.
TKDD, 2012

Online Optimization with Gradual Variations.
Proceedings of the COLT 2012, 2012

Resolution-invariant coding for continuous image super-resolution.
Neurocomputing, 2012

Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
CoRR, 2012

Influence Analysis in the Blogosphere
CoRR, 2012

A short note on the tail bound of Wishart distribution
CoRR, 2012

A Bayesian Framework for Community Detection Integrating Content and Link
CoRR, 2012

An Efficient Primal-Dual Prox Method for Non-Smooth Optimization
CoRR, 2012

Deep Learning of Invariant Features via Simulated Fixations in Video.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Stochastic Gradient Descent with Only One Projection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
iHelp: An Intelligent Online Helpdesk System.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Integrating Document Clustering and Multidocument Summarization.
TKDD, 2011

Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.
Machine Learning, 2011

Community discovery using nonnegative matrix factorization.
Data Min. Knowl. Discov., 2011

Combining file content and file relations for cloud based malware detection.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Intelligent management of virtualized resources for database systems in cloud environment.
Proceedings of the 27th International Conference on Data Engineering, 2011

Contextual weighting for vocabulary tree based image retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Correspondence driven adaptation for human profile recognition.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large-scale image classification: Fast feature extraction and SVM training.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

ActiveSLA: a profit-oriented admission control framework for database-as-a-service providers.
Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011

Can irrelevant data help semi-supervised learning, why and how?
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Driving Safety Monitoring Using Semisupervised Learning on Time Series Data.
IEEE Trans. Intelligent Transportation Systems, 2010

Feature Selection for Gene Expression Using Model-Based Entropy.
IEEE/ACM Trans. Comput. Biology Bioinform., 2010

Resolution enhancement based on learning the sparse association of image patches.
Pattern Recognition Letters, 2010

Videos Semantic Indexing using Image Classification.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Directed Network Community Detection: A Popularity and Productivity Link Model.
Proceedings of the SIAM International Conference on Data Mining, 2010

Deep Coding Network.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Unsupervised Learning from Linked Documents.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

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

A Topic Model for Linked Documents and Update Rules for its Estimation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Music Clustering With Features From Different Information Sources.
IEEE Trans. Multimedia, 2009

iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data.
IEEE Trans. Multimedia, 2009

Analyzing communities and their evolutions in dynamic social networks.
TKDD, 2009

Learning Sparse Markov Network Structure via Ensemble-of-Trees Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Visual-Quality Optimizing Super Resolution.
Comput. Graph. Forum, 2009

A Bayesian Framework for Community Detection Integrating Content and Link.
Proceedings of the UAI 2009, 2009

Fast nonparametric matrix factorization for large-scale collaborative filtering.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A latent topic model for linked documents.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Proceedings of the SIAM International Conference on Data Mining, 2009

Ordering innovators and laggards for product categorization and recommendation.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Combining link and content for community detection: a discriminative approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large-scale collaborative prediction using a nonparametric random effects model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Resolution-Invariant Image Representation for Content-Based Zooming.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Knowledge Discovery from Citation Networks.
Proceedings of the ICDM 2009, 2009

Resolution-Invariant Image Representation and its applications.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Comparative document summarization via discriminative sentence selection.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Multi-Document Summarization using Sentence-based Topic Models.
Proceedings of the ACL 2009, 2009

2008
KDD2008 workshop report DMMT'08: data mining using matrices and tensors.
SIGKDD Explorations, 2008

Dynamic active probing of helpdesk databases.
PVLDB, 2008

Text categorization via generalized discriminant analysis.
Inf. Process. Manage., 2008

Learning multiple graphs for document recommendations.
Proceedings of the 17th International Conference on World Wide Web, 2008

Facetnet: a framework for analyzing communities and their evolutions in dynamic networks.
Proceedings of the 17th International Conference on World Wide Web, 2008

Non-greedy active learning for text categorization using convex transductive experimental design.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Stochastic Relational Models for Large-scale Dyadic Data using MCMC.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Noisy video super-resolution.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Integrating clustering and multi-document summarization to improve document understanding.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Probabilistic polyadic factorization and its application to personalized recommendation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Hierarchical document classification using automatically generated hierarchy.
J. Intell. Inf. Syst., 2007

Capturing User Interests by Both Exploitation and Exploration.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

Combining content and link for classification using matrix factorization.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Predictive Matrix-Variate t Models.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Structural and temporal analysis of the blogosphere through community factorization.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Monitoring RSS Feeds Based on User Browsing Pattern.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Efficient Video Object Segmentation by Graph-Cut.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
Using discriminant analysis for multi-class classification: an experimental investigation.
Knowl. Inf. Syst., 2006

Empirical Studies on Multi-label Classification.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Trend Analysis for Large Document Streams.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Integrating Features from Different Sources for Music Information Retrieval.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Multi-labelled classification using maximum entropy method.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Efficient map synchronization in ad hoc mobile robot networks for environment exploration.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

2004
Identifying early buyers from purchase data.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Algorithms for clustering high dimensional and distributed data.
Intell. Data Anal., 2003

Association-based similarity testing and its applications.
Intell. Data Anal., 2003

Topic hierarchy generation via linear discriminant projection.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

A New Distributed Data Mining Model Based on Similarity.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Gene Functional Classification by Semisupervised Learning from Heterogeneous Data.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

A Framework of Individually-Focused Teleconferencing (IFT) via an Efficient 3D Reprojection Technique.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Using Discriminant Analysis for Multi-class Classification.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Efficient multi-way text categorization via generalized discriminant analysis.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
A Survey on Wavelet Applications in Data Mining.
SIGKDD Explorations, 2002

Document clustering with cluster refinement and model selection capabilities.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Attentional Object Spotting by Integrating Multimodal Input.
Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

CoFD : An Algorithm for Non-distance Based Clustering in High Dimensional Spaces.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

Estimating Joint Probabilities from Marginal Ones.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002


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