# Rong Jin

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^{1}, Rong Jin## Timeline

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## Bibliography

2017

Delay Analysis of Physical-Layer Key Generation in Dynamic Roadside-to-Vehicle Networks.

IEEE Trans. Vehicular Technology, 2017

Sparse Learning with Stochastic Composite Optimization.

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Finding multiple stable clusterings.

Knowl. Inf. Syst., 2017

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

CoRR, 2017

Strongly Adaptive Regret Implies Optimally Dynamic Regret.

CoRR, 2017

Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n

^{2})-type of Risk Bounds.
CoRR, 2017

Deep Learning at Alibaba.

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Missing Modalities Imputation via Cascaded Residual Autoencoder.

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds.

Proceedings of the 30th Conference on Learning Theory, 2017

Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL).

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis.

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Practical Secret Key Agreement for Full-Duplex Near Field Communications.

IEEE Trans. Mob. Comput., 2016

MagPairing: Pairing Smartphones in Close Proximity Using Magnetometers.

IEEE Trans. Information Forensics and Security, 2016

On Data Preconditioning for Regularized Loss Minimization.

Machine Learning, 2016

A Hybrid Calibration Method for Aperture Synthesis Radiometers.

IEEE Geosci. Remote Sensing Lett., 2016

Online kernel learning with nearly constant support vectors.

Neurocomputing, 2016

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.

CoRR, 2016

Improved dynamic regret for non-degeneracy functions.

CoRR, 2016

Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis.

Bioinformatics, 2016

One-pass AUC optimization.

Artif. Intell., 2016

Correction of SMOS data in coastal area of South China Sea based on land contamination analysis.

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Array configuration optimization for Rotating mirrored aperture synthesis (RMAS).

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Online Stochastic Linear Optimization under One-bit Feedback.

Proceedings of the 33nd International Conference on Machine Learning, 2016

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.

Proceedings of the 33nd International Conference on Machine Learning, 2016

Social Graph Publishing with Privacy Guarantees.

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Large-scale Robust Online Matching and Its Application in E-commerce.

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

Accelerated Sparse Linear Regression via Random Projection.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Fast and Accurate Refined Nyström-Based Kernel SVM.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Stochastic Optimization for Kernel PCA.

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning to Rank Image Tags With Limited Training Examples.

IEEE Trans. Image Processing, 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

Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees.

CoRR, 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

Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach.

CoRR, 2015

Stochastic Proximal Gradient Descent for Nuclear Norm Regularization.

CoRR, 2015

Online Stochastic Linear Optimization under One-bit Feedback.

CoRR, 2015

Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion.

CoRR, 2015

Renotation from Optical Music Recognition.

Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

Stock Constrained Recommendation in Tmall.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Big Data Analytics: Optimization and Randomization.

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Graph-Based Rhythm Interpretation.

Proceedings of the 16th International Society for Music Information Retrieval Conference, 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

CUR Algorithm for Partially Observed Matrices.

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

Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Fine-grained visual categorization via multi-stage metric learning.

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization.

Proceedings of The 28th Conference on Learning Theory, 2015

Physical layer key agreement under signal injection attacks.

Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015

SecNFC: Securing inductively-coupled Near Field Communication at physical layer.

Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015

Topic Modeling in Semantic Space with Keywords.

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters.

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

An atomic capability chain composition method.

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

A reconfigurable system of routing and switching node based on ATC.

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

A Simple Homotopy Algorithm for Compressive Sensing.

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Online Bandit Learning for a Special Class of Non-Convex Losses.

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

Online Feature Selection and Its Applications.

IEEE Trans. Knowl. Data Eng., 2014

Random Projections for Classification: A Recovery Approach.

IEEE Trans. Information Theory, 2014

Online Multiple Kernel Similarity Learning for Visual Search.

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Active Learning by Querying Informative and Representative Examples.

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Multiple Kernel Learning for Visual Object Recognition: A Review.

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Regret bounded by gradual variation for online convex optimization.

Machine Learning, 2014

A smart method of optimizing the read/write current on PCM array.

IEICE Electronic Express, 2014

A novel auxiliary-free zero inductor current detection scheme for step down non-isolated LED driver.

IEICE Electronic Express, 2014

Optimization of periphery circuits in a 1K-bit PCRAM chip for highly reliable write and read operations.

IEICE Electronic Express, 2014

On Data Preconditioning for Regularized Loss Minimization.

CoRR, 2014

A Simple Homotopy Proximal Mapping for Compressive Sensing.

CoRR, 2014

CUR Algorithm for Partially Observed Matrices.

CoRR, 2014

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

CoRR, 2014

Excess Risk Bounds for Exponentially Concave Losses.

CoRR, 2014

Binary Excess Risk for Smooth Convex Surrogates.

CoRR, 2014

Top Rank Optimization in Linear Time.

CoRR, 2014

CUR Algorithm with Incomplete Matrix Observation.

CoRR, 2014

Scalable Kernel Clustering: Approximate Kernel k-means.

CoRR, 2014

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property.

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Top Rank Optimization in Linear Time.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Provide IPv4 Service Using Pure IPv6 Servers with Stateless NAT64 Translator.

Proceedings of the 9th IEEE International Conference on Networking, 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

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Algorithms for Robust One-bit Compressive Sensing.

Proceedings of the 31th International Conference on Machine Learning, 2014

Delay analysis of physical layer key generation in multi-user dynamic wireless networks.

Proceedings of the IEEE International Conference on Communications, 2014

Image Tag Completion by Noisy Matrix Recovery.

Proceedings of the Computer Vision - ECCV 2014, 2014

Optical music recognition on the International Music Score Library Project.

Proceedings of the Document Recognition and Retrieval XXI, 2014

MagPairing: Exploiting magnetometers for pairing smartphones in close proximity.

Proceedings of the IEEE Conference on Communications and Network Security, 2014

Practical secret key agreement for full-duplex near field communications.

Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, 2014

Sparse Learning for Stochastic Composite Optimization.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Privacy and Regression Model Preserved Learning.

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Improved Bounds for the Nyström Method With Application to Kernel Classification.

IEEE Trans. Information Theory, 2013

Tag Completion for Image Retrieval.

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Online Multiple Kernel Classification.

Machine Learning, 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

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions

CoRR, 2013

Passive Learning with Target Risk

CoRR, 2013

Sparse Multiple Kernel Learning with Geometric Convergence Rate

CoRR, 2013

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.

CoRR, 2013

MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization.

CoRR, 2013

Stochastic Optimization of Smooth Loss.

CoRR, 2013

A Random Matrix Approach to Differential Privacy and Structure Preserved Social Network Graph Publishing.

CoRR, 2013

Improving the Minimax Rate of Active Learning.

CoRR, 2013

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning.

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

Stochastic Convex Optimization with Multiple Objectives.

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

Mixed Optimization for Smooth Functions.

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

Linear Convergence with Condition Number Independent Access of Full Gradients.

Online Kernel Learning with a Near Optimal Sparsity Bound.

Proceedings of the 30th International Conference on Machine Learning, 2013

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions.

Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.

Proceedings of the 30th International Conference on Machine Learning, 2013

One-Pass AUC Optimization.

Proceedings of the 30th International Conference on Machine Learning, 2013

Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning.

Proceedings of the IEEE International Conference on Computer Vision, 2013

Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach.

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

A compensation method to improve the performance of IPI-based entity recognition system in body sensor networks.

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Compressed Hashing.

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

Passive Learning with Target Risk.

Proceedings of the COLT 2013, 2013

Fuzzy vault based automatic secret sharing in body sensor networks.

Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012

Learning Bregman Distance Functions for Semi-Supervised Clustering.

IEEE Trans. Knowl. Data Eng., 2012

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems.

ACM TIST, 2012

Array Configuration Design of One-Dimensional Mirrored Interferometric Aperture Synthesis.

IEEE Geosci. Remote Sensing Lett., 2012

A Robust Regularization Kernel Regression Algorithm for Passive Millimeter Wave Imaging Target Detection.

IEEE Geosci. Remote Sensing Lett., 2012

An On-Board External Calibration Method for Aperture Synthesis Radiometer by Rotation.

IEEE Geosci. Remote Sensing Lett., 2012

Trading regret for efficiency: online convex optimization with long term constraints.

Journal of Machine Learning Research, 2012

Online Optimization with Gradual Variations.

Proceedings of the COLT 2012, 2012

A Kernel Approach to Multi-Task Learning with Task-Specific Kernels.

J. Comput. Sci. Technol., 2012

Large-scale near-duplicate image retrieval by kernel density estimation.

IJMIR, 2012

Image Retrieval in Forensics: Tattoo Image Database Application.

IEEE MultiMedia, 2012

Preference-based Graphic Models for Collaborative Filtering

CoRR, 2012

Online Stochastic Optimization with Multiple Objectives

CoRR, 2012

Recovering Optimal Solution by Dual Random Projection

CoRR, 2012

An Improved Bound for the Nystrom Method for Large Eigengap

CoRR, 2012

A Bayesian Approach toward Active Learning for Collaborative Filtering

CoRR, 2012

Bayesian Active Distance Metric Learning

CoRR, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning

CoRR, 2012

Multiple Kernel Learning from Noisy Labels by Stochastic Programming

CoRR, 2012

A Bayesian Framework for Community Detection Integrating Content and Link

CoRR, 2012

Efficient Constrained Regret Minimization

CoRR, 2012

Robust Metric Learning by Smooth Optimization

CoRR, 2012

An Efficient Primal-Dual Prox Method for Non-Smooth Optimization

CoRR, 2012

Tattoo Image Matching and Retrieval.

IEEE Computer, 2012

Learning kernel combination from noisy pairwise constraints.

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning.

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

Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison.

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

Online feature selection for mining big data.

Proceedings of the 1st International Workshop on Big Data, 2012

Interpreting Rhythm in Optical Music Recognition.

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

A Bayesian reconstruction algorithm for synthesis aperture imaging radiometer.

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Calibration of staggered Y-shaped array by 120 degree rotation.

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Error model and calibration of synthetic aperture interferometric radiometer based on visibility function.

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Multiple Kernel Learning from Noisy Labels by Stochastic Programming.

Proceedings of the 29th International Conference on Machine Learning, 2012

A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.

Proceedings of the 29th International Conference on Machine Learning, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.

Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Ensemble Clustering by Matrix Completion.

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Efficient Kernel Clustering Using Random Fourier Features.

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Wearable autonomous microsystem with electrochemical gas sensor array for real-time health and safety monitoring.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression.

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Online Kernel Selection: Algorithms and Evaluations.

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Random Projection with Filtering for Nearly Duplicate Search.

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Distance metric learning from uncertain side information for automated photo tagging.

ACM TIST, 2011

Active multiple kernel learning for interactive 3D object retrieval systems.

TiiS, 2011

Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.

Machine Learning, 2011

Double Updating Online Learning.

Journal of Machine Learning Research, 2011

Regret Bound by Variation for Online Convex Optimization

CoRR, 2011

Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

CoRR, 2011

Improved Bound for the Nystrom's Method and its Application to Kernel Classification

CoRR, 2011

Machine learning for information retrieval.

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

A kernel density based approach for large scale image retrieval.

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Learning to trade off between exploration and exploitation in multiclass bandit prediction.

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

Approximate kernel k-means: solution to large scale kernel clustering.

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

Online AUC Maximization.

Proceedings of the 28th International Conference on Machine Learning, 2011

Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering.

Proceedings of the FUZZ-IEEE 2011, 2011

Multi-label learning with incomplete class assignments.

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A probabilistic representation for efficient large scale visual recognition tasks.

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multi-Task Learning in Square Integrable Space.

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

Efficient Algorithm for Localized Support Vector Machine.

IEEE Trans. Knowl. Data Eng., 2010

A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval.

IEEE Trans. Pattern Anal. Mach. Intell., 2010

On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles.

Neural Computation, 2010

Understanding bag-of-words model: a statistical framework.

Int. J. Machine Learning & Cybernetics, 2010

Exclusive Lasso for Multi-task Feature Selection.

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Potential-based Framework for Online Multi-class Learning with Partial Feedback.

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Robust Metric Learning by Smooth Optimization.

Proceedings of the UAI 2010, 2010

Non-parametric Mixture Models for Clustering.

Proceedings of the Structural, 2010

Directed Network Community Detection: A Popularity and Productivity Link Model.

Proceedings of the SIAM International Conference on Data Mining, 2010

Active Learning by Querying Informative and Representative Examples.

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

Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition.

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 transfer classification: application to text categorization.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Exploitation and exploration in a performance based contextual advertising system.

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval.

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Learning from Noisy Side Information by Generalized Maximum Entropy Model.

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

Online visual vocabulary pruning using pairwise constraints.

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Online Multiple Kernel Learning: Algorithms and Mistake Bounds.

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

Smooth Optimization for Effective Multiple Kernel Learning.

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis.

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009

Semisupervised SVM batch mode active learning with applications to image retrieval.

ACM Trans. Inf. Syst., 2009

Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval.

IEEE Trans. Knowl. Data Eng., 2009

SemiBoost: Boosting for Semi-Supervised Learning.

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach.

Neural Computation, 2009

An Information Geometry Approach for Distance Metric Learning.

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization.

Bioinformatics, 2009

A Bayesian Framework for Community Detection Integrating Content and Link.

Proceedings of the UAI 2009, 2009

A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.

Proceedings of the SIAM International Conference on Data Mining, 2009

DUOL: A Double Updating Approach for Online Learning.

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

Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering.

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

Learning to Rank by Optimizing NDCG Measure.

Regularized Distance Metric Learning: Theory and Algorithm.

Distance metric learning from uncertain side information with application to automated photo tagging.

Proceedings of the 17th International Conference on Multimedia 2009, 2009

First ACM SIGMM international workshop onsocial media (WSM'09).

Proceedings of the 17th International Conference on Multimedia 2009, 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

Discriminative Semi-Supervised Feature Selection via Manifold Regularization.

Proceedings of the IJCAI 2009, 2009

Online learning by ellipsoid method.

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Non-monotonic feature selection.

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Content-based image retrieval: An application to tattoo images.

Proceedings of the International Conference on Image Processing, 2009

Efficient multi-label ranking for multi-class learning: Application to object recognition.

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks.

Proceedings of the IEEE International Conference on Acoustics, 2009

Learning a distance metric from multi-instance multi-label data.

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

A Bayesian framework for knowledge driven regression model in micro-array data analysis.

IJDMB, 2008

Automated annotation of

*Drosophila*gene expression patterns using a controlled vocabulary.
Bioinformatics, 2008

Ranking refinement and its application to information retrieval.

Proceedings of the 17th International Conference on World Wide Web, 2008

Semi-Supervised Boosting for Multi-Class Classification.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An Extended Level Method for Efficient Multiple Kernel Learning.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multi-label Multiple Kernel Learning.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Active query selection for semi-supervised clustering.

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Active kernel learning.

Proceedings of the Machine Learning, 2008

Unifying discriminative visual codebook generation with classifier training for object category recognition.

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Rank-based distance metric learning: An application to image retrieval.

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Semi-supervised SVM batch mode active learning for image retrieval.

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Representative entry selection for profiling blogs.

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Semi-supervised text categorization by active search.

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Semi-Supervised Ensemble Ranking.

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

An empirical investigation of user term feedback in text-based targeted image search.

ACM Trans. Inf. Syst., 2007

Multi-Class Learning by Smoothed Boosting.

Machine Learning, 2007

Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering.

Neurocomputing, 2007

Bayesian Active Distance Metric Learning.

Proceedings of the UAI 2007, 2007

Michigan State University at the 2007 TREC ciQA Task.

Proceedings of The Sixteenth Text REtrieval Conference, 2007

Localized Support Vector Machine and Its Efficient Algorithm.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Similarity Beyond Distance Measurement.

Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007

Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification.

Proceedings of the Advances in Multimedia Information Processing, 2007

Efficient Convex Relaxation for Transductive Support Vector Machine.

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

BoostCluster: boosting clustering by pairwise constraints.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A learning framework using Green's function and kernel regularization with application to recommender system.

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Design and Implementation of an Open Programmable Router Compliant to IETF ForCES Specifications.

Proceedings of the Sixth International Conference on Networking (ICN 2007), 2007

Learning nonparametric kernel matrices from pairwise constraints.

Proceedings of the Machine Learning, 2007

Semi-supervised Collaborative Text Classification.

Proceedings of the Machine Learning: ECML 2007, 2007

Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data.

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems.

Proceedings of the ACL 2007, 2007

Semi-Supervised Learning by Mixed Label Propagation.

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Active Algorithm Selection.

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

A Unified Log-Based Relevance Feedback Scheme for Image Retrieval.

IEEE Trans. Knowl. Data Eng., 2006

A statistical framework for query translation disambiguation.

ACM Trans. Asian Lang. Inf. Process., 2006

Collaborative image retrieval via regularized metric learning.

Multimedia Syst., 2006

A study of mixture models for collaborative filtering.

Inf. Retr., 2006

Large-scale text categorization by batch mode active learning.

Proceedings of the 15th international conference on World Wide Web, 2006

A graph-based framework for relation propagation and its application to multi-label learning.

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Generalized Maximum Margin Clustering and Unsupervised Kernel Learning.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Batch mode active learning and its application to medical image classification.

Proceedings of the Machine Learning, 2006

A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering.

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Correlated Label Propagation with Application to Multi-label Learning.

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

An Efficient Algorithm for Local Distance Metric Learning.

Proceedings of the Proceedings, 2006

Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization.

Proceedings of the Proceedings, 2006

2005

User term feedback in interactive text-based image retrieval.

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

A maximum coherence model for dictionary-based cross-language information retrieval.

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Study of cross lingual information retrieval using on-line translation systems.

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Symmetric Statistical Translation Models for Automatic Image Annotation.

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Framework for Incorporating Class Priors into Discriminative Classification.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Probabilistic Approach for Optimizing Spectral Clustering.

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Linguistic theories in efficient multimodal reference resolution: an empirical investigation.

Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

A Novel Approach to Model Generation for Heterogeneous Data Classification.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning with Labeled Sessions.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

A smoothed boosting algorithm using probabilistic output codes.

Proceedings of the Machine Learning, 2005

Learn to weight terms in information retrieval using category information.

Proceedings of the Machine Learning, 2005

Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval.

Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Sensor Localization in an Obstructed Environment.

Proceedings of the Distributed Computing in Sensor Systems, 2005

Query Translation Disambiguation as Graph Partitioning.

Proceedings of the Proceedings, 2005

2004

A Bayesian Approach toward Active Learning for Collaborative Filtering.

Proceedings of the UAI '04, 2004

A study of methods for normalizing user ratings in collaborative filtering.

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

An automatic weighting scheme for collaborative filtering.

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Effective automatic image annotation via a coherent language model and active learning.

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Ordering patterns by combining opinions from multiple sources.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Robust feature induction for support vector machines.

Proceedings of the Machine Learning, 2004

SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.

Proceedings of the Machine Learning: ECML 2004, 2004

MSU at ImageCLEF: Cross Language and Interactive Image Retrieval.

Proceedings of the Multilingual Information Access for Text, 2004

Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model.

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

Regularizing translation models for better automatic image annotation.

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003

Statistical approaches toward automatic title generation.

SIGIR Forum, 2003

Web Image Retrieval Re-Ranking with Relevance Model.

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Preference-based Graphic Models for Collaborative Filtering.

Proceedings of the UAI '03, 2003

Video retrieval using speech and image information.

Proceedings of the Storage and Retrieval for Media Databases 2003, 2003

Negative pseudo-relevance feedback in content-based video retrieval.

Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization.

Proceedings of the Machine Learning, 2003

Flexible Mixture Model for Collaborative Filtering.

Proceedings of the Machine Learning, 2003

A Faster Iterative Scaling Algorithm for Conditional Exponential Model.

Proceedings of the Machine Learning, 2003

Learning to identify video shots with people based on face detection.

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

On predicting rare classes with SVM ensembles in scene classification.

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A New Pairwise Ensemble Approach for Text Classification.

Proceedings of the Machine Learning: ECML 2003, 2003

Information retrieval for OCR documents: a content-based probabilistic correction model.

Proceedings of the Document Recognition and Retrieval X, 2003

Multimedia Search with Pseudo-relevance Feedback.

Proceedings of the Image and Video Retrieval, Second International Conference, 2003

Collaborative filtering with decoupled models for preferences and ratings.

Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002

Video Classification and Retrieval with the Informedia Digital Video Library System.

Proceedings of The Eleventh Text REtrieval Conference, 2002

Language model for IR using collection information.

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Title language model for information retrieval.

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Meta-Classification of Multimedia Classifiers.

Proceedings of the International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD 2002), 2002

Learning with Multiple Labels.

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Multi-modal information retrieval from broadcast video using OCR and speech recognition.

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2002

A Probabilistic Model for Camera Zoom Detection.

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Using a probabilistic source model for comparing images.

Proceedings of the 2002 International Conference on Image Processing, 2002

A New Probabilistic Model for Title Generation.

Proceedings of the 19th International Conference on Computational Linguistics, 2002

A language modeling framework for resource selection and results merging.

Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001

Video Retrieval with the Informedia Digital Video Library System.

Proceedings of The Tenth Text REtrieval Conference, 2001

Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall.

Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Probabilistic Combination of Content and Links.

Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Title Generation for Machine-Translated Documents.

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval.

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Title Generation Using a Training Corpus.

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001

2000

Title generation for spoken broadcast news using a training corpus.

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Data Analysis for a Multimedia Library.

Proceedings of the Text- and Speech-Triggered Information Access, 2000

1999

CMU Spoken Document Retrieval in Trec-8: Analysis of the role of Term Frequency TF.

Proceedings of The Eighth Text REtrieval Conference, 1999