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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
952019
Theory and evaluation metrics for learning disentangled representations
K Do, T Tran
arXiv preprint arXiv:1908.09961, 2019
482019
Knowledge graph embedding with multiple relation projections
K Do, T Tran, S Venkatesh
2018 24th International Conference on Pattern Recognition (ICPR), 332-337, 2018
272018
Energy-based anomaly detection for mixed data
K Do, T Tran, S Venkatesh
Knowledge and Information Systems 57 (2), 413-435, 2018
172018
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
Machine Learning 108 (10), 1757-1781, 2019
142019
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
142018
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
122016
Learning deep matrix representations
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1703.01454, 2017
92017
Clustering by maximizing mutual information across views
K Do, T Tran, S Venkatesh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Matrix-centric neural networks
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1703.01454, 2017
72017
Multilevel anomaly detection for mixed data
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1610.06249, 2016
42016
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
International Conference on Service-Oriented Computing, 19-33, 2021
32021
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
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
12022
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
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
K Do, H Le, D Nguyen, D Nguyen, H Harikumar, T Tran, S Rana, ...
arXiv preprint arXiv:2209.10359, 2022
2022
Black-box Few-shot Knowledge Distillation
D Nguyen, S Gupta, K Do, S Venkatesh
arXiv preprint arXiv:2207.12106, 2022
2022
Defense Against Multi-target Trojan Attacks
H Harikumar, S Rana, K Do, S Gupta, W Zong, W Susilo, S Venkastesh
arXiv preprint arXiv:2207.03895, 2022
2022
Memory-Constrained Policy Optimization
H Le, TK George, M Abdolshah, D Nguyen, K Do, S Gupta, S Venkatesh
arXiv preprint arXiv:2204.09315, 2022
2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
K Do, H Harikumar, H Le, D Nguyen, T Tran, S Rana, D Nguyen, W Susilo, ...
arXiv preprint arXiv:2202.12154, 2022
2022
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