A paper at Neurocomputing by Tung Nguyen et al.
Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than. “Balancing stability and plasticity when learning topic models from short and noisy text streams”. […]
Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than. “Balancing stability and plasticity when learning topic models from short and noisy text streams”. […]
Two new papers got accepted at PAKDD which is ranked A and has high/top quality: Linh Ngo Van, Nam Le Hai, Hoang Pham, Khoat Than. “Auxiliary Local Variables […]
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui. “Structured Dropout Variational Inference for Bayesian Neural Networks”. In Advances in Neural Information […]
Two new papers got (conditionally) accepted at international journals which have high/top quality: Tien-Cuong Nguyen, Van-Quyen Nguyen, Van-Linh Ngo, Khoat Than, Tien-Lam Pham. “Learning Hidden Chemistry […]
Many students got new papers conditionally accepted at international journals which have high/top quality: Quyen Tran, Lam Tran, Linh Chu Hai, Linh Ngo, Khoat Than. […]
Duc-Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than, “Boosting prior knowledge in streaming variational Bayes,” accepted, Neurocomputing, 2020.
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, […]
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