# Weicong Ding

According to our database

Collaborative distances:

^{1}, Weicong Ding authored at least 21 papers between 2013 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Whole Page Optimization with Global Constraints.

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dynamic Word Embeddings for Evolving Semantic Discovery.

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Node Embedding via Word Embedding for Network Community Discovery.

IEEE Trans. Signal and Information Processing over Networks, 2017

Discovery of Evolving Semantics through Dynamic Word Embedding Learning.

CoRR, 2017

A Simple Approach to Learn Polysemous Word Embeddings.

CoRR, 2017

Matrix Factorization with Side and Higher Order Information.

CoRR, 2017

Node embedding for network community discovery.

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

A Provably Efficient Algorithm for Separable Topic Discovery.

J. Sel. Topics Signal Processing, 2016

Just One More: Modeling Binge Watching Behavior.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery.

CoRR, 2015

Learning Mixed Membership Mallows Models from Pairwise Comparisons.

CoRR, 2015

Most large topic models are approximately separable.

Proceedings of the 2015 Information Theory and Applications Workshop, 2015

Learning shared rankings from mixtures of noisy pairwise comparisons.

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Topic Modeling Approach to Ranking.

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

2014

Sensing-aware kernel SVM.

Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient Distributed Topic Modeling with Provable Guarantees.

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.

CoRR, 2013

Topic Discovery through Data Dependent and Random Projections.

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

A new geometric approach to latent topic modeling and discovery.

Proceedings of the IEEE International Conference on Acoustics, 2013

Dynamic topic discovery through sequential projections.

Proceedings of the 2013 Asilomar Conference on Signals, 2013