According to our database1, Weicong Ding authored at least 21 papers between 2013 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Whole Page Optimization with Global Constraints.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
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.
A Simple Approach to Learn Polysemous Word Embeddings.
Matrix Factorization with Side and Higher Order Information.
Node embedding for network community discovery.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
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
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery.
Learning Mixed Membership Mallows Models from Pairwise Comparisons.
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
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
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.
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