Shuang-Hong Yang

According to our database1, Shuang-Hong Yang authored at least 30 papers between 2006 and 2014.

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Bibliography

2014
Large-scale high-precision topic modeling on twitter.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Pursuing insights about healthcare utilization via geocoded search queries.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

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

The first workshop on user engagement optimization.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Predictive models for online human activities.
PhD thesis, 2012

Discriminative Feature Selection by Nonparametric Bayes Error Minimization.
IEEE Trans. Knowl. Data Eng., 2012

Collaborative Competitive filtering II: Optimal Recommendation and Collaborative Games
CoRR, 2012

A Scale-Space Theory for Text
CoRR, 2012

Hybrid Generative/Discriminative Learning for Automatic Image Annotation
CoRR, 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

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

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
Local Optimality of User Choices and Collaborative Competitive Filtering
CoRR, 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

Ranking with auxiliary data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions.
Inf. Sci., 2009

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

Named entity mining from click-through data using weakly supervised latent dirichlet allocation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Structural identifiability of generalized constraint neural network models for nonlinear regression.
Neurocomputing, 2008

A Stagewise Least Square Loss Function for Classification.
Proceedings of the SIAM International Conference on Data Mining, 2008

Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Sparse Kernel-Based Feature Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Feature Selection by Nonparametric Bayes Error Minimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Efficient Feature Selection in the Presence of Outliers and Noises.
Proceedings of the Information Retrieval Technology, 2008

2006
Reformulated Parametric Learning Based on Ordinary Differential Equations.
Proceedings of the Computational Intelligence, 2006


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