Recent publications

Dieu Vu, Khang Truong, Khanh Nguyen, Linh Ngo, Khoat Than, “Revisiting Supervised Word Embeddings”, Journal of Information Science and Engineering, accepted, 2020.

Xuan Bui, Hieu Vu, Oanh Nguyen, Khoat Than, “MAP estimation with Bernoulli randomness, and its application to text analysis and recommender systems”. IEEE Access, 2020.

Shu, Rui, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, and Hung H. Bui. “Predictive Coding for Locally-Linear Control.” ICML (2020).

Anh Tuan Phan, Bach Tran, Thien Huu Nguyen, Linh Van Ngo, Khoat Than, “Bag of biterms modeling for short texts”, Knowledge and Information Systems (KAIS) journal, […]

N. Van Linh, D. A. Nguyen, T. B. Nguyen and K. Than, “Neural Poisson Factorization,” in IEEE Access, doi: 10.1109/ACCESS.2020.2994239.

Duong Minh Le, My T. Thai, Thien Huu Nguyen, “Multi-task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation” In Proceedings […]

Van-Son Nguyen, Duc-Tung Nguyen, Linh Ngo Van, Khoat Than, “Infinite Dropout for training Bayesian models from data streams”, In Proceedings of IEEE International Conference on Big […]

Tuan Anh Phan, Nhat Nguyen Trong, Duong Bui, Linh Van Ngo, and Khoat Than, “From Implicit to Explicit Feedbacks: A deep neural network for modeling […]

Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen, “Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via […]

Cuong Ha-Nhat, Dang Tran, Linh Ngo Van, Khoat Than, “Eliminating overfitting of probabilistic topic models on short and noisy text: The role of Dropout”, International Journal […]