Do, Kien

20 publications

CVPR 2025 H-Edit: Effective and Flexible Diffusion-Based Editing via Doob's H-Transform Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen

AAAI 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models Minh Khoa Le, Kien Do, Truyen Tran

AAAI 2025 Multi-Reference Preference Optimization for Large Language Models Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh

IJCAI 2025 Navigating Social Dilemmas with LLM-Based Agents via Consideration of Future Consequences Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

ICLR 2025 Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

IJCAI 2024 Diversifying Training Pool Predictability for Zero-Shot Coordination: A Theory of Mind Approach Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

WACV 2024 Domain Generalisation via Risk Distribution Matching Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen

ECML-PKDD 2024 Improving Diversity in Black-Box Few-Shot Knowledge Distillation Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta

TMLR 2024 Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran

AAAI 2023 Memory-Augmented Theory of Mind Network Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

IJCAI 2023 Social Motivation for Modelling Other Agents Under Partial Observability in Decentralised Training Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

ECCV 2022 Black-Box Few-Shot Knowledge Distillation Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh

AAAI 2022 Episodic Policy Gradient Training Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh

NeurIPS 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

NeurIPS 2022 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation Kien Do, Thai Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

ECCV 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

ICCV 2021 Clustering by Maximizing Mutual Information Across Views Kien Do, Truyen Tran, Svetha Venkatesh

AAAI 2021 Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization Kien Do, Truyen Tran, Svetha Venkatesh

ICLR 2020 Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do, Truyen Tran

MLJ 2019 Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh