Conference Papers

  • h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform, CVPR 2025
    Toan Nguyen*, Kien Do*, Duc Kieu, Thin Nguyen
    arXiv | Code
  • Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning, ICLR 2025
    Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
    Link | arXiv | Code
  • Learning Structural Causal Models from Ordering: Identifiable Flow Models, AAAI 2025
    Minh Khoa Le, Kien Do, Truyen Tran
    Link | arXiv
  • Multi-reference preference optimization for large language models, AAAI 2025
    Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
    Link | arXiv | Code
  • Generating Realistic Tabular Data with Large Language Models, ICDM 2024
    Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
    Link | arXiv
  • Revisiting the Dataset Bias Problem from a Statistical Perspective, ECAI 2024
    Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
    Link | arXiv
  • Improving Diversity in Black-Box Few-Shot Knowledge Distillation, ECML-PKDD 2024
    Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta
    Link
  • Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach, IJCAI 2024
    Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
    Link
  • Beyond Surprise: Improving Exploration Through Surprise Novelty, AAMAS 2024 (Oral)
    Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
    Link | Code
  • Domain Generalisation via Risk Distribution Matching, WACV 2024
    Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
    arXiv | Code
  • TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems, IEEE Symposium on Security and Privacy 2023
    Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh
    Link
  • Causal Inference via Style Transfer for Out-of-distribution Generalisation, KDD 2023
    Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
    Link | arXiv | Code
  • Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training, IJCAI 2023
    Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
    Link
  • Memory-Augmented Theory of Mind Network, AAAI 2022
    Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
    Link
  • Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation, NeurIPS 2022
    Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya, Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
    Link | arXiv
  • Learning to Constrain Policy Optimization with Virtual Trust Region, NeurIPS 2022 (Spotlight)
    Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
    Link | arXiv
  • Black-box Few-shot Knowledge Distillation, ECCV 2022
    Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
    Link | arXiv
  • Towards Effective and Robust Neural Trojan Defenses via Input Filtering, ECCV 2022
    Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
    Link | arXiv
  • Learning Theory of Mind via Dynamic Traits Attribution, AAMAS 2022
    Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
    Link
  • Episodic Policy Gradient Training, AAAI 2022 (Oral)
    Hung Le, Majid Abdolshah, Thommen Karimpanal George, Kien Do, Dung Nguyen, Svetha Venkatesh
    arXiv | Code
  • Memory-Augmented Neural Networks for Predictive Process Analytics, ICSOC 2021
    Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Dam, Renuka Sindhgatta
    arXiv
  • Clustering by Maximizing Mutual Information Across Views, ICCV 2021
    Kien Do, Truyen Tran, Svetha Venkatesh
    arXiv | Slides | Code
  • Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization, AAAI 2021
    Kien Do, Truyen Tran, Svetha Venkatesh
    Link | arXiv | Slides | Code
  • Unsupervised Anomaly Detection on Temporal Multiway Data, AusDM 2020
    Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
    Link
  • Theory and Evaluation Metrics for Learning Disentangled Representations, ICLR 2020
    Kien Do, Truyen Tran
    Link | arXiv | Slides | Code
  • Graph Transformation Policy Network for Chemical Reaction Prediction, KDD 2019
    Kien Do, Truyen Tran, Svetha Venkatesh
    Link | arXiv
  • Knowledge Graph Embedding with Multiple Relation Projections, ICPR 2018
    Kien Do, Truyen Tran, Svetha Venkatesh
    Link | arXiv
  • Outlier Detection on Mixed-Type Data: An Energy-based Approach, ADMA 2016 (Best Student Paper Runner-up Award)
    Kien Do, Truyen Tran, Dinh Phung, Svetha Venkatesh
    Link

Journal Papers

  • Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory, Transactions on Machine Learning Research 2024
    Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
    Link | Code
  • Class-incremental learning with causal relational replay, Expert Systems with Applications 2024
    Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
    Link
  • Unsupervised Image Segmentation with Robust Virtual Class Contrast, Pattern Recognition Letters 2023
    Khang Nguyen, Kien Do, Truong Vu, Khoat Than
    Link
  • Attentional Multilabel Learning over Graphs: a Message Passing Approach, Machine Learning 2019
    Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
    Link | arXiv
  • Energy-Based Anomaly Detection for Mixed Data, Knowledge and Information Systems 2018
    Kien Do, Truyen Tran, Svetha Venkatesh
    Link

Workshop Papers

  • Matrix-centric Neural Nets, Workshop on Representation Learning for Graphs, IJCAI 2017
    Kien Do, Truyen Tran, Svetha Venkatesh
    arXiv

Preprints

  • Bidirectional Diffusion Bridge Models, 2025
    Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen
    arXiv | Code
  • Finding the Trigger: Causal Abductive Reasoning on Video Events, 2025
    Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
    arXiv
  • Predicting the Reliability of an Image Classifier under Image Distortion, 2024
    Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
    arXiv
  • Variational Flow Models: Flowing in Your Style, 2024
    Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
    arXiv | Code
  • Face Swapping as A Simple Arithmetic Operation, 2022
    Truong Vu, Kien Do, Khang Nguyen, Khoat Than
    arXiv | Code
  • Defense Against Multi-target Trojan Attacks, 2022
    Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
    arXiv
  • Semantic Host-free Trojan Attack, 2021
    Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh
    arXiv