I'm interested in machine learning, and natural language processing,. Currently, I'm working with Professor Guy Lebanon at Statistical Machine Learning and Visualization Laboratory.
Learning document representations based on domain knowledge and sequential information
- Language Model on Sequential Document Representations (currently working)
- Mood Analysis
- Recommendation System (co-work with Joonseok Lee)
- Version Controlled Documents
- Search Engine Visualization (co-work)
Seungyeon Kim, Fuxin Li, Guy Lebanon, and Irfan Essa. Beyond Sentiment: The Manifold of Human Emotions. Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS), 2013. pdf
Joonseok Lee, Seungyeon Kim, Guy Lebanon, and Yoram Singer. Local Low-Rank Matrix Approximation. Proceedings of the 30th International Conference on Machine Learning (ICML) 2013.
Joonseok Lee, Mingxuan Sun, Seungyeon Kim, and Guy Lebanon. Automatic Feature Induction for Stagewise Collaborative Filtering. Advances in Neural Information Processing Systems(NIPS) 25, 2012. pdf
Seungyeon Kim, Joshua V. Dillon and Guy Lebanon. Cumulative Revision Map. preprint
Seungyeon Kim. Modeling and Visualizing Version-controlled Documents. Master's Thesis, Georgia Institute of Technology, 2011. pdf
Seungyeon Kim and Guy Lebanon. Local Space-Time Smoothing for Version Controlled Documents. Proc. of The 23rd International Conference on Computational Linguistics (COLING) 2010. pdf