Kien Do

According to our database, Kien Do authored at least 33 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Revisiting the Dataset Bias Problem from a Statistical Perspective.

Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen

CoRR, 2024

Domain Generalisation via Risk Distribution Matching.

Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unsupervised image segmentation with robust virtual class contrast.

Khang Nguyen, Kien Do, Truong Vu, Khoat Than

Pattern Recognit. Lett., September, 2023

Intrinsic Motivation via Surprise Memory.

Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

CoRR, 2023

TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems.

Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Causal Inference via Style Transfer for Out-of-distribution Generalisation.

Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training.

Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Memory-Augmented Theory of Mind Network.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation.

Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen

CoRR, 2022

Face Swapping as A Simple Arithmetic Operation.

Truong Vu, Kien Do, Khang Nguyen, Khoat Than

CoRR, 2022

Defense Against Multi-target Trojan Attacks.

Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh

CoRR, 2022

Memory-Constrained Policy Optimization.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

CoRR, 2022

Learning to Constrain Policy Optimization with Virtual Trust Region.

Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Black-Box Few-Shot Knowledge Distillation.

Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.

Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Theory of Mind via Dynamic Traits Attribution.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Episodic Policy Gradient Training.

Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Semantic Host-free Trojan Attack.

Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh

CoRR, 2021

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System.

Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Clustering by Maximizing Mutual Information Across Views.

Kien Do, Truyen Tran, Svetha Venkatesh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization.

Kien Do, Truyen Tran, Svetha Venkatesh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised Anomaly Detection on Temporal Multiway Data.

Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Theory and Evaluation Metrics for Learning Disentangled Representations.

Kien Do, Truyen Tran

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Attentional multilabel learning over graphs: a message passing approach.

Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh

Mach. Learn., 2019

Graph Transformation Policy Network for Chemical Reaction Prediction.

Kien Do, Truyen Tran, Svetha Venkatesh

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Energy-based anomaly detection for mixed data.

Kien Do, Truyen Tran, Svetha Venkatesh

Knowl. Inf. Syst., 2018

Memory-Augmented Neural Networks for Predictive Process Analytics.

Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta

CoRR, 2018

Knowledge Graph Embedding with Multiple Relation Projections.

Kien Do, Truyen Tran, Svetha Venkatesh

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Matrix-centric Neural Networks.

Kien Do, Truyen Tran, Svetha Venkatesh

CoRR, 2017

2016

Multilevel Anomaly Detection for Mixed Data.

Kien Do, Truyen Tran, Svetha Venkatesh

CoRR, 2016

Outlier Detection on Mixed-Type Data: An Energy-Based Approach.

Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016