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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
1662019
Theory and evaluation metrics for learning disentangled representations
K Do, T Tran
arXiv preprint arXiv:1908.09961, 2019
782019
Clustering by maximizing mutual information across views
K Do, T Tran, S Venkatesh
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
372021
Knowledge graph embedding with multiple relation projections
K Do, T Tran, S Venkatesh
2018 24th International Conference on Pattern Recognition (ICPR), 332-337, 2018
352018
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
332018
Energy-based anomaly detection for mixed data
K Do, T Tran, S Venkatesh
Knowledge and Information Systems 57 (2), 413-435, 2018
222018
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
Machine Learning 108 (10), 1757-1781, 2019
182019
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
182016
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
K Do, TH Le, D Nguyen, D Nguyen, H Harikumar, T Tran, S Rana, ...
Advances in Neural Information Processing Systems 35, 10055-10067, 2022
142022
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
112021
Learning deep matrix representations
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1703.01454, 2017
102017
Black-box few-shot knowledge distillation
D Nguyen, S Gupta, K Do, S Venkatesh
European Conference on Computer Vision, 196-211, 2022
72022
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
62022
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, ...
European Conference on Computer Vision, 283-300, 2022
6*2022
Memory-augmented theory of mind network
D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran
arXiv preprint arXiv:2301.06926, 2023
52023
Multilevel anomaly detection for mixed data
K Do, T Tran, S Venkatesh
arXiv preprint arXiv:1610.06249, 2016
52016
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), 1667-1683, 2023
42023
Face Swapping as A Simple Arithmetic Operation
T Vu, K Do, K Nguyen, K Than
arXiv preprint arXiv:2211.10812, 2022
32022
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
32020
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
22022
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