| 2025 | AAAI | Multi-Reference Preference Optimization for Large Language Models. | Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh |
| 2025 | AAAI | Learning Structural Causal Models from Ordering: Identifiable Flow Models. | Minh Khoa Le, Kien Do, Truyen Tran |
| 2025 | CVPR | h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. | Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen |
| 2025 | ICLR | Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. | Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh |
| 2025 | IJCAI | Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2025 | KDD | Bidirectional Diffusion Bridge Models. | Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen |
| 2025 | PAKDD | Defense Against Multi-target Multi-trigger Backdoor Attacks. | Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh |
| 2024 | ECAI | 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 |
| 2024 | ICDM | Generating Realistic Tabular Data with Large Language Models. | Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh |
| 2024 | IJCAI | 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 |
| 2024 | WACV | Domain Generalisation via Risk Distribution Matching. | Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen |
| 2023 | AAAI | Memory-Augmented Theory of Mind Network. | Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | IJCAI | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. | Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | KDD | Causal Inference via Style Transfer for Out-of-distribution Generalisation. | Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen |
| 2023 | SP | TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. | Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh |
| 2022 | AAAI | Episodic Policy Gradient Training. | Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Black-Box Few-Shot Knowledge Distillation. | Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh |
| 2021 | AAAI | Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | ICCV | Clustering by Maximizing Mutual Information Across Views. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | ICSOC | 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 |
| 2020 | ICLR | Theory and Evaluation Metrics for Learning Disentangled Representations. | Kien Do, Truyen Tran |
| 2019 | KDD | Graph Transformation Policy Network for Chemical Reaction Prediction. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2018 | ICPR | Knowledge Graph Embedding with Multiple Relation Projections. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2016 | ADMA | Outlier Detection on Mixed-Type Data: An Energy-Based Approach. | Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |