Outlier Detection on Mixed-Type Data: An Energy-Based Approach. - Kien Do; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ADMA, 2016)

Multilevel Anomaly Detection for Mixed Data. - Kien Do; Truyen Tran 001; Svetha Venkatesh (CoRR, 2016)

Matrix-centric Neural Networks. - Kien Do; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

Knowledge Graph Embedding with Multiple Relation Projections. - Kien Do; Truyen Tran 001; Svetha Venkatesh (ICPR, 2018)

Memory-Augmented Neural Networks for Predictive Process Analytics. - Muhammad Asjad Khan; Hung Le; Kien Do; Truyen Tran 001; Aditya Ghose; Khanh Hoa Dam; Renuka Sindhgatta (CoRR, 2018)

Energy-based anomaly detection for mixed data. - Kien Do; Truyen Tran 001; Svetha Venkatesh (Knowl. Inf. Syst., 2018)

Graph Transformation Policy Network for Chemical Reaction Prediction. - Kien Do; Truyen Tran 001; Svetha Venkatesh (KDD, 2019)

Attentional multilabel learning over graphs: a message passing approach. - Kien Do; Truyen Tran 001; Thin Nguyen; Svetha Venkatesh (Mach. Learn., 2019)

Theory and Evaluation Metrics for Learning Disentangled Representations. - Kien Do; Truyen Tran 001 (ICLR, 2020)

Unsupervised Anomaly Detection on Temporal Multiway Data. - Duc Nguyen; Phuoc Nguyen; Kien Do; Santu Rana; Sunil Gupta 001; Truyen Tran 001 (SSCI, 2020)

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. - Kien Do; Truyen Tran 001; Svetha Venkatesh (AAAI, 2021)

Clustering by Maximizing Mutual Information Across Views. - Kien Do; Truyen Tran 001; Svetha Venkatesh (ICCV, 2021)

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. - Asjad Khan; Hung Le; Kien Do; Truyen Tran 001; Aditya Ghose; Hoa Khanh Dam; Renuka Sindhgatta (ICSOC, 2021)

Semantic Host-free Trojan Attack. - Haripriya Harikumar; Kien Do; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2021)

Episodic Policy Gradient Training. - Hung Le; Majid Abdolshah; Thommen George Karimpanal; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAAI, 2022)

Learning Theory of Mind via Dynamic Traits Attribution. - Dung Nguyen 001; Phuoc Nguyen; Hung Le; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Towards Effective and Robust Neural Trojan Defenses via Input Filtering. - Kien Do; Haripriya Harikumar; Hung Le; Dung Nguyen 001; Truyen Tran 001; Santu Rana; Dang Nguyen 002; Willy Susilo; Svetha Venkatesh (ECCV (5), 2022)

Black-Box Few-Shot Knowledge Distillation. - Dang Nguyen 002; Sunil Gupta 001; Kien Do; Svetha Venkatesh (ECCV (21), 2022)

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. - Kien Do; Hung Le; Dung Nguyen 001; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (NeurIPS, 2022)

Learning to Constrain Policy Optimization with Virtual Trust Region. - Thai Hung Le; Thommen Karimpanal George; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (NeurIPS, 2022)

Memory-Constrained Policy Optimization. - Hung Le; Thommen George Karimpanal; Majid Abdolshah; Dung Nguyen 001; Kien Do; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2022)

Defense Against Multi-target Trojan Attacks. - Haripriya Harikumar; Santu Rana; Kien Do; Sunil Gupta 001; Wei Zong; Willy Susilo; Svetha Venkatesh (CoRR, 2022)

Face Swapping as A Simple Arithmetic Operation. - Truong Vu; Kien Do; Khang Nguyen; Khoat Than (CoRR, 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)

Memory-Augmented Theory of Mind Network. - Dung Nguyen 001; Phuoc Nguyen; Hung Le; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAAI, 2023)

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. - Dung Nguyen 001; Hung Le; Kien Do; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2023)

Causal Inference via Style Transfer for Out-of-distribution Generalisation. - Toan Nguyen; Kien Do; Duc Thanh Nguyen; Bao Duong; Thin Nguyen (KDD, 2023)

TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. - Wei Zong; Yang-Wai Chow; Willy Susilo; Kien Do; Svetha Venkatesh (SP, 2023)

Intrinsic Motivation via Surprise Memory. - Hung Le; Kien Do; Dung Nguyen 001; Svetha Venkatesh (CoRR, 2023)

Unsupervised image segmentation with robust virtual class contrast. - Khang Nguyen; Kien Do; Truong Vu; Khoat Than (Pattern Recognit. Lett., 2023)

Beyond Surprise: Improving Exploration Through Surprise Novelty. - Hung Le; Kien Do; Dung Nguyen 001; Svetha Venkatesh (AAMAS, 2024)

Revisiting the Dataset Bias Problem from a Statistical Perspective. - Kien Do; Dung Nguyen 001; Hung Le; Thao Le 003; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (ECAI, 2024)

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. - Dung Nguyen 001; Hung Le; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2024)

Improving Diversity in Black-Box Few-Shot Knowledge Distillation. - Tri-Nhan Vo; Dang Nguyen 002; Kien Do; Sunil Gupta 001 (ECML/PKDD (2), 2024)

Domain Generalisation via Risk Distribution Matching. - Toan Nguyen; Kien Do; Bao Duong; Thin Nguyen (WACV, 2024)

Variational Flow Models: Flowing in Your Style. - Kien Do; Duc Kieu; Toan Nguyen; Dang Nguyen 002; Hung Le; Dung Nguyen 001; Thin Nguyen (CoRR, 2024)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. - Hung Le; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2024)

Multi-Reference Preference Optimization for Large Language Models. - Hung Le; Quan Tran; Dung Nguyen 001; Kien Do; Saloni Mittal; Kelechi Ogueji; Svetha Venkatesh (CoRR, 2024)

Class-incremental learning with causal relational replay. - Toan Nguyen; Duc Kieu; Bao Duong; Tung Kieu; Kien Do; Thin Nguyen; Bac Le (Expert Syst. Appl., 2024)