Kien Do
TitleCited byYear
Outlier detection on mixed-type data: an energy-based approach
K Do, T Tran, D Phung, S Venkatesh
International Conference on Advanced Data Mining and Applications, 111-125, 2016
72016
Graph transformation policy network for chemical reaction prediction
K Do, T Tran, S Venkatesh
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
52019
Knowledge graph embedding with multiple relation projections
K Do, T Tran, S Venkatesh
2018 24th International Conference on Pattern Recognition (ICPR), 332-337, 2018
42018
Memory-augmented neural networks for predictive process analytics
A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta
arXiv preprint arXiv:1802.00938, 2018
42018
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
Machine Learning 108 (10), 1757-1781, 2019
32019
Energy-based anomaly detection for mixed data
K Do, T Tran, S Venkatesh
Knowledge and Information Systems 57 (2), 413-435, 2018
32018
Learning deep matrix representations
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1703.01454, 2017
32017
Multilevel anomaly detection for mixed data
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1610.06249, 2016
22016
Theory and Evaluation Metrics for Learning Disentangled Representations
K Do, T Tran
arXiv preprint arXiv:1908.09961, 2019
2019
Matrix-Centric Neural Nets
K Do, T Tran, S Venkatesh
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Articles 1–10