Hongyuan Zha

According to our database1, Hongyuan Zha authored at least 258 papers between 1993 and 2019.

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Bibliography

2019
Visual Progression Analysis of Event Sequence Data.
IEEE Trans. Vis. Comput. Graph., 2019

Adversarial Distillation for Efficient Recommendation with External Knowledge.
ACM Trans. Inf. Syst., 2019

Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Learning to Match via Inverse Optimal Transport.
J. Mach. Learn. Res., 2019

A Fast Proximal Point Method for Computing Exact Wasserstein Distance.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Gromov-Wasserstein Learning for Graph Matching and Node Embedding.
Proceedings of the 36th International Conference on Machine Learning, 2019

On Scalable and Efficient Computation of Large Scale Optimal Transport.
Proceedings of the 36th International Conference on Machine Learning, 2019

Visualizing Uncertainty and Alternatives in Event Sequence Predictions.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
EventThread: Visual Summarization and Stage Analysis of Event Sequence Data.
IEEE Trans. Vis. Comput. Graph., 2018

A Unified Framework for Manifold Landmarking.
IEEE Trans. Signal Processing, 2018

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.
IEEE Trans. Neural Netw. Learning Syst., 2018

A Self-Paced Regularization Framework for Multilabel Learning.
IEEE Trans. Neural Netw. Learning Syst., 2018

Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes.
ACM TIST, 2018

Influence prediction for continuous-time information propagation on networks.
NHM, 2018

On the flexibility of block coordinate descent for large-scale optimization.
Neurocomputing, 2018

Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.
IEEE Access, 2018

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Extreme Multi-label Learning.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Decoupled Learning for Factorial Marked Temporal Point Processes.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Registered Point Processes from Idiosyncratic Observations.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Deep Mean Field Games for Modeling Large Population Behavior.
Proceedings of the 6th International Conference on Learning Representations, 2018

Personalized Prescription for Comorbidity.
Proceedings of the Database Systems for Advanced Applications, 2018

Iterative Learning With Open-Set Noisy Labels.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging.
ACM Trans. Inf. Syst., 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes.
IEEE Trans. Knowl. Data Eng., 2017

MREKLM: A fast multiple empirical kernel learning machine.
Pattern Recognition, 2017

Entropy-based fuzzy support vector machine for imbalanced datasets.
Knowl.-Based Syst., 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.
J. Mach. Learn. Res., 2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell., 2017

Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion.
Proceedings of the 26th International Conference on World Wide Web, 2017

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Wasserstein Learning of Deep Generative Point Process Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Inferring Private Demographics of New Users in Recommender Systems.
Proceedings of the 20th ACM International Conference on Modelling, 2017

Recurrent Poisson Factorization for Temporal Recommendation.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning Hawkes Processes from Short Doubly-Censored Event Sequences.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.
Proceedings of the 34th International Conference on Machine Learning, 2017

Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Fractal Dimension Invariant Filtering and Its CNN-Based Implementation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Glioma grading based on 3D multimodal convolutional neural network and privileged learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Correlated Cascades: Compete or Cooperate.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Deep Learning for Optical Flow Estimation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Self-Paced Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Influence Estimation and Maximization in Continuous-Time Diffusion Networks.
ACM Trans. Inf. Syst., 2016

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.
IEEE Trans. Knowl. Data Eng., 2016

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval.
IEEE Trans. Cybernetics, 2016

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection.
IEEE Access, 2016

Behavior Driven Topic Transition for Search Task Identification.
Proceedings of the 25th International Conference on World Wide Web, 2016

Multistage Campaigning in Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Short Survey of Recent Advances in Graph Matching.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A constrained clustering based approach for matching a collection of feature sets.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learning Granger Causality for Hawkes Processes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.
IEEE Trans. Image Processing, 2015

A Time-Topic Coupled LDA Model for IPTV User Behaviors.
TBC, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

NetCodec: Community Detection from Individual Activities.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Trailer Generation via a Point Process-Based Visual Attractiveness Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Portfolio Choices with Orthogonal Bandit Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Matrix Decomposition Perspective to Multiple Graph Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Online trendy topics detection in microblogs with selective user monitoring under cost constraints.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Discrete hyper-graph matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

On Machine Learning towards Predictive Sales Pipeline Analytics.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Multi-View Point Registration via Alternating Optimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Active Manifold Learning via Gershgorin Circle Guided Sample Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Dictionary Learning with Mutually Reinforcing Group-Graph Structures.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains.
IEEE Trans. Knowl. Data Eng., 2014

Inferring User Image-Search Goals Under the Implicit Guidance of Users.
IEEE Trans. Circuits Syst. Video Techn., 2014

You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data.
TBC, 2014

Behavior Informatics: A New Perspective.
IEEE Intelligent Systems, 2014

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

Understanding and promoting micro-finance activities in Kiva.org.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Shaping Social Activity by Incentivizing Users.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Identifying and labeling search tasks via query-based hawkes processes.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Graduated Consistency-Regularized Optimization for Multi-graph Matching.
Proceedings of the Computer Vision - ECCV 2014, 2014

Manifold Based Dynamic Texture Synthesis from Extremely Few Samples.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

LatentGesture: active user authentication through background touch analysis.
Proceedings of the Second International Symposium of Chinese CHI, 2014

Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A New Algorithm for Inferring User Search Goals with Feedback Sessions.
IEEE Trans. Knowl. Data Eng., 2013

Improving recency ranking using twitter data.
ACM TIST, 2013

Cost-effective node monitoring for online hot eventdetection in sina weibo microblogging.
Proceedings of the 22nd International World Wide Web Conference, 2013

Learning multiple-question decision trees for cold-start recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Scalable Influence Estimation in Continuous-Time Diffusion Networks.
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

Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation.
Proceedings of the IJCAI 2013, 2013

Learning Triggering Kernels for Multi-dimensional Hawkes Processes.
Proceedings of the 30th International Conference on Machine Learning, 2013

Mixture of Mutually Exciting Processes for Viral Diffusion.
Proceedings of the 30th International Conference on Machine Learning, 2013

Joint Optimization for Consistent Multiple Graph Matching.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Manifold Based Face Synthesis from Sparse Samples.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Dyadic event attribution in social networks with mixtures of hawkes processes.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Mining IPTV user behaviors with a coupled LDA model.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2013

Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Uncover Topic-Sensitive Information Diffusion Networks.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

2012
Leveraging Auxiliary Data for Learning to Rank.
ACM TIST, 2012

Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia.
ACM TIST, 2012

Multiscale Semilocal Interpolation With Antialiasing.
IEEE Trans. Image Processing, 2012

Multi-task learning to rank for web search.
Pattern Recognition Letters, 2012

Adaptive Manifold Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Inducible regularization for low-rank matrix factorizations for collaborative filtering.
Neurocomputing, 2012

Inferring user image-search goals by mining query logs with semi-supervised spectral clustering.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

Friend or frenemy?: predicting signed ties in social networks.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Learning binary codes for collaborative filtering.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

On the Convergence of Graph Matching: Graduated Assignment Revisited.
Proceedings of the Computer Vision - ECCV 2012, 2012

Collaborative ranking: improving the relevance for tail queries.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utility of a Clinical Support Tool for Outpatient Evaluation of Pediatric Chest Pain.
Proceedings of the AMIA 2012, 2012

Dimensionality Reduction and Topic Modeling: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond.
Proceedings of the Mining Text Data, 2012

2011
Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Like like alike: joint friendship and interest propagation in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Video summarization via transferrable structured learning.
Proceedings of the 20th International Conference on World Wide Web, 2011

Inferring users' image-search goals with pseudo-images.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Functional matrix factorizations for cold-start recommendation.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Collaborative competitive filtering: learning recommender using context of user choice.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
Time is of the essence: improving recency ranking using Twitter data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM.
Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking with query-dependent loss for web search.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Hybrid Generative/Discriminative Learning for Automatic Image Annotation.
Proceedings of the UAI 2010, 2010

Language pyramid and multi-scale text analysis.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Spectral Properties of the Alignment Matrices in Manifold Learning.
SIAM Review, 2009

The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content.
IEEE Data Eng. Bull., 2009

Web-scale classification with naive bayes.
Proceedings of the 18th International Conference on World Wide Web, 2009

Enhancing diversity, coverage and balance for summarization through structure learning.
Proceedings of the 18th International Conference on World Wide Web, 2009

Learning to recognize reliable users and content in social media with coupled mutual reinforcement.
Proceedings of the 18th International Conference on World Wide Web, 2009

Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Variational Graph Embedding for Globally and Locally Consistent Feature Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Metric Learning for Regression Problems and Human Age Estimation.
Proceedings of the Advances in Multimedia Information Processing, 2009

Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora.
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 distance metric for regression by semidefinite programming with application to human age estimation.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Interpolating fine texturess with fields of experts prior.
Proceedings of the International Conference on Image Processing, 2009

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Multi-task learning for learning to rank in web search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

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

Exploring social annotations for information retrieval.
Proceedings of the 17th International Conference on World Wide Web, 2008

Finding the right facts in the crowd: factoid question answering over social media.
Proceedings of the 17th International Conference on World Wide Web, 2008

Consistent computation of first- and second-order differential quantities for surface meshes.
Proceedings of the 2008 ACM Symposium on Solid and Physical Modeling, 2008

Learning to rank with ties.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

A scalable assistant librarian: hierarchical subject classification of books.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Simple and Effective Variational Optimization of Surface and Volume Triangulations.
Proceedings of the 17th International Meshing Roundtable, 2008

Adapting ranking functions to user preference.
Proceedings of the 24th International Conference on Data Engineering Workshops, 2008

Learning object classes from image thumbnails through deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Spectral methods for semi-supervised manifold learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A few bad votes too many?: towards robust ranking in social media.
Proceedings of the AIRWeb 2008, 2008

2007
Continuum Isomap for manifold learnings.
Computational Statistics & Data Analysis, 2007

Machine Learning and Robust Data Mining.
Computational Statistics & Data Analysis, 2007

A regression framework for learning ranking functions using relative relevance judgments.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Topic segmentation with shared topic detection and alignment of multiple documents.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Conical Dimension as an Intrinsic Dimension Estimator and its Applications.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Distance Preserving Dimension Reduction for Manifold Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Efficient Multiclass Boosting Classification with Active Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

DAG-guided parallel asynchronous variational integrators with super-elements.
Proceedings of the 2007 Summer Computer Simulation Conference, 2007

IKNN: Informative K-Nearest Neighbor Pattern Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning User Clicks in Web Search.
Proceedings of the IJCAI 2007, 2007

Co-ranking Authors and Documents in a Heterogeneous Network.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Temporal Communities from Social Network Documents.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Optimizing Surface Triangulation Via Near Isometry with Reference Meshes.
Proceedings of the Computational Science, 2007

A Comparison of Unsupervised Dimension Reduction Algorithms for Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Splice site prediction using support vector machines with a Bayes kernel.
Expert Syst. Appl., 2006

Towards Inferring Protein Interactions: Challenges and Solutions.
EURASIP J. Adv. Sig. Proc., 2006

Two-way Poisson mixture models for simultaneous document classification and word clustering.
Computational Statistics & Data Analysis, 2006

2nd Special issue on matrix computations and statistics.
Computational Statistics & Data Analysis, 2006

Probabilistic models for discovering e-communities.
Proceedings of the 15th international conference on World Wide Web, 2006

Incorporating query difference for learning retrieval functions in information retrieval.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Semi-supervised nonlinear dimensionality reduction.
Proceedings of the Machine Learning, 2006

R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization.
Proceedings of the Machine Learning, 2006

Boosting the Feature Space: Text Classification for Unstructured Data on the Web.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Topic evolution and social interactions: how authors effect research.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Incorporating query difference for learning retrieval functions in world wide web search.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Multi-task text segmentation and alignment based on weighted mutual information.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
A hierarchical naive Bayes mixture model for name disambiguation in author citations.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Rule-based word clustering for document metadata extraction.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A Domain Decomposition Method for Fast Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Name disambiguation in author citations using a K-way spectral clustering method.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2005

A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes.
Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005

Towards discovering organizational structure from email corpus.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

A new Mallows distance based metric for comparing clusterings.
Proceedings of the Machine Learning, 2005

Efficient Block Noise Removal Based on Nonlinear Manifolds.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Spectral analysis of alignment in manifold learning.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Protein Interaction Inference as a MAX-SAT Problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004
Correlating summarization of multi-source news with k-way graph bi-clustering.
SIGKDD Explorations, 2004

Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment.
SIAM J. Scientific Computing, 2004

Link Analysis: Hubs and Authorities on the World Wide Web.
SIAM Review, 2004

Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations.
SIAM J. Matrix Analysis Applications, 2004

Linear Contour Learning: A Method for Supervised Dimension Reduction.
Proceedings of the UAI '04, 2004

Adaptive Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Two supervised learning approaches for name disambiguation in author citations.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004

Support Vector Clustering Combined with Spectral Graph Partitioning.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks.
Proceedings of IEEE International Conference on Communications, 2004

Spectral Clustering for Robust Motion Segmentation.
Proceedings of the Computer Vision, 2004

Local Smoothing for Manifold Learning.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Exploring Support Vector Machines and Random Forests for Spam Detection.
Proceedings of the CEAS 2004, 2004

2003
Domain-independent text segmentation using anisotropic diffusion and dynamic programming.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Rule-based word clustering for text classification.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Multidimensional scaling based sensor positioning algorithms in wireless sensor networks.
Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, 2003

PageRank: HITS and a Unified Framework for Link Analysis.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Correlating Summarization of A Pair of Multilingual Documents.
Proceedings of the Thirteenth International Work Shop on Research Issues in Data Engineering: Multi-lingual Information Management, 2003

Extracting Shared Topics of Multiple Documents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Automatic Document Metadata Extraction Using Support Vector Machines.
Proceedings of the ACM/IEEE 2003 Joint Conference on Digital Libraries (JCDL 2003), 2003

Nonlinear Dimension Reduction via Local Tangent Space Alignment.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Isometric Embedding and Continuum ISOMAP.
Proceedings of the Machine Learning, 2003

Robust sensor localization algorithm in wireless ad-hoc sensor networks.
Proceedings of the 12th International Conference on Computer Communications and Networks, 2003

2002
Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis.
SIAM J. Matrix Analysis Applications, 2002

Web document clustering using hyperlink structures.
Computational Statistics & Data Analysis, 2002

Preface.
Computational Statistics & Data Analysis, 2002

Correlating multilingual documents via bipartite graph modeling.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

PageRank, HITS and a unified framework for link analysis.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Unsupervised Learning: Self-aggregation in Scaled Principal Component Space.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Adaptive dimension reduction for clustering high dimensional data.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Simultaneous Classification and Feature Clustering Using Discriminant Vector Quantization with Applications to Microarray Data Analysis.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

2001
Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices.
SIAM J. Matrix Analysis Applications, 2001

Spectral Relaxation for K-means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A spectral method to separate disconnected and nearly-disconnected web graph components.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Automatic Topic Identification Using Webpage Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Bipartite Graph Partitioning and Data Clustering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications.
SIAM J. Scientific Computing, 2000

Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing.
SIAM J. Matrix Analysis Applications, 2000

1999
On Updating Problems in Latent Semantic Indexing.
SIAM J. Scientific Computing, 1999

1998
Large-Scale SVD and Subspace-Based Methods for Information Retrieval.
Proceedings of the Solving Irregularly Structured Problems in Parallel, 1998

1996
Fast algorithms for direction-of-arrival finding using large ESPRIT arrays.
Signal Processing, 1996

Indexing Management for Distributed Linear Hash Files.
Proceedings of the Seventh International Workshop on Database and Expert Systems Applications, 1996

1995
Comments on Large Least Squares Problems Involving Kronecker Products.
SIAM J. Matrix Analysis Applications, 1995

1993
A New Preprocessing Algorithm for the Computation of the Generalized Singular Value Decomposition.
SIAM J. Scientific Computing, 1993

An efficient Total Least Squares algorithm based on a rank-revealing two-sided orthogonal decomposition.
Numerical Algorithms, 1993


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