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Kien Do
Kien Do
Applied Artificial Intelligence Institute (A2I2), Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
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
1162019
Theory and evaluation metrics for learning disentangled representations
K Do, T Tran
arXiv preprint arXiv:1908.09961, 2019
562019
Knowledge graph embedding with multiple relation projections
K Do, T Tran, S Venkatesh
2018 24th International Conference on Pattern Recognition (ICPR), 332-337, 2018
282018
Energy-based anomaly detection for mixed data
K Do, T Tran, S Venkatesh
Knowledge and Information Systems 57 (2), 413-435, 2018
182018
Clustering by maximizing mutual information across views
K Do, T Tran, S Venkatesh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
172021
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
Machine Learning 108 (10), 1757-1781, 2019
172019
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
172018
Outlier detection on mixed-type data: an energy-based approach
K Do, T Tran, D Phung, S Venkatesh
Advanced Data Mining and Applications: 12th International Conference, ADMA …, 2016
122016
Learning deep matrix representations
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1703.01454, 2017
92017
DeepProcess: supporting business process execution using a MANN-based recommender system
A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta
Service-Oriented Computing: 19th International Conference, ICSOC 2021 …, 2021
42021
Multilevel anomaly detection for mixed data
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1610.06249, 2016
42016
Learning theory of mind via dynamic traits attribution
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
arXiv preprint arXiv:2204.09047, 2022
22022
Black-box few-shot knowledge distillation
D Nguyen, S Gupta, K Do, S Venkatesh
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
12022
Episodic policy gradient training
H Le, M Abdolshah, TK George, K Do, D Nguyen, S Venkatesh
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7317-7325, 2022
12022
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
K Do, T Tran, S Venkatesh
Proceedings of the AAAI Conference on Artificial Intelligence 35, 7236-7244, 2021
12021
Unsupervised Anomaly Detection on Temporal Multiway Data
D Nguyen, P Nguyen, K Do, S Rana, S Gupta, T Tran
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1059-1066, 2020
12020
Memory-Augmented Theory of Mind Network
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
arXiv preprint arXiv:2301.06926, 2023
2023
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems
W Zong, YW Chow, W Susilo, K Do, S Venkatesh
2023 IEEE Symposium on Security and Privacy (SP), 906-922, 2022
2022
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation
T Nguyen, K Do, DT Nguyen, B Duong, T Nguyen
arXiv preprint arXiv:2212.03063, 2022
2022
Face Swapping as A Simple Arithmetic Operation
T Vu, K Do, K Nguyen, K Than
arXiv preprint arXiv:2211.10812, 2022
2022
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