Kien Do

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Topics

Anomaly Detection

Unsupervised Image Segmentation

Variational Bayesian Inference

Top Venues

Publications

Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
Domain Generalisation via Risk Distribution Matching. WACV (2024)
Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
Multi-Reference Preference Optimization for Large Language Models. CoRR (2024)
Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
Variational Flow Models: Flowing in Your Style. CoRR (2024)
Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR (2024)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS (2024)
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250 (2024)
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI (2023)
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. AAAI (2023)
Khang Nguyen, Kien Do, Truong Vu, Khoat Than
Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. 173 (2023)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Intrinsic Motivation via Surprise Memory. CoRR (2023)
Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP (2023)
Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
Domain Generalisation via Risk Distribution Matching. CoRR (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. CoRR (2023)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. AAAI (2022)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Memory-Constrained Policy Optimization. CoRR (2022)
Truong Vu, Kien Do, Khang Nguyen, Khoat Than
Face Swapping as A Simple Arithmetic Operation. CoRR (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-box Few-shot Knowledge Distillation. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. CoRR (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-Box Few-Shot Knowledge Distillation. ECCV (21) (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
Defense Against Multi-target Trojan Attacks. CoRR (2022)
Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS (2022)
Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC (2021)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. CoRR (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Clustering by Maximizing Mutual Information Across Views. CoRR (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Clustering by Maximizing Mutual Information Across Views. ICCV (2021)
Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh
Semantic Host-free Trojan Attack. CoRR (2021)
Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI (2020)
Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR (2020)
Kien Do, Truyen Tran
Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR (2020)
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR (2020)
Kien Do, Truyen Tran, Svetha Venkatesh
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD (2019)
Kien Do, Truyen Tran
Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR (2019)
Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108 (10) (2019)
Kien Do, Truyen Tran, Svetha Venkatesh
Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. 57 (2) (2018)
Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR (2018)
Kien Do, Truyen Tran, Svetha Venkatesh
Knowledge Graph Embedding with Multiple Relation Projections. ICPR (2018)
Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR (2018)
Kien Do, Truyen Tran, Svetha Venkatesh
Knowledge Graph Embedding with Multiple Relation Projections. CoRR (2018)
Kien Do, Truyen Tran, Svetha Venkatesh
Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR (2018)
Kien Do, Truyen Tran, Svetha Venkatesh
Matrix-centric Neural Networks. CoRR (2017)
Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA (2016)
Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR (2016)
Kien Do, Truyen Tran, Svetha Venkatesh
Multilevel Anomaly Detection for Mixed Data. CoRR (2016)