Kien Do - RankMe

75 papers A* 18A 6B 1C 1Journal 43Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FrameDiT: Diffusion Transformer with Frame-Level Matrix Attention for Efficient Video Generation. CoRR Minh Khoa Le, Kien Do, Duc Thanh Nguyen, Truyen Tran
2025	—	`conf`	Bidirectional Diffusion Bridge Models. KDD (2) Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen
2025	J	`jnl`	Bidirectional Diffusion Bridge Models. CoRR Duc Kieu, Kien Do, Nguyen Thanh Binh, Dang Nguyen, Thin Nguyen
2025	—	`conf`	Defense Against Multi-target Multi-trigger Backdoor Attacks. PAKDD (6) Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
2025	J	`jnl`	Finding the Trigger: Causal Abductive Reasoning on Video Events. CoRR Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	Large Language Models for Imbalanced Classification: Diversity makes the difference. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Binh T. Nguyen, Taylor A. Braund, Alexis E. Whitton, Svetha Venkatesh
2025	A*	`conf`	Learning Structural Causal Models from Ordering: Identifiable Flow Models. AAAI Minh Khoa Le, Kien Do, Truyen Tran
2025	A*	`conf`	Multi-Reference Preference Optimization for Large Language Models. AAAI Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2025	A	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. ICLR Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2025	J	`jnl`	Universal Multi-Domain Translation via Diffusion Routers. CoRR Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen
2025	A*	`conf`	h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. CVPR Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen
2025	J	`jnl`	h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. CoRR Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen
2024	A	`conf`	Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2024	J	`jnl`	Class-incremental learning with causal relational replay. Expert Syst. Appl. Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
2024	A*	`conf`	Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2024	A	`conf`	Domain Generalisation via Risk Distribution Matching. WACV Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2024	J	`jnl`	Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	A*	`conf`	Generating Realistic Tabular Data with Large Language Models. ICDM Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Generating Realistic Tabular Data with Large Language Models. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	—	`conf`	Improving Diversity in Black-Box Few-Shot Knowledge Distillation. ECML/PKDD (2) Tri-Nhan Vo, Dang Nguyen, Kien Do, Sunil Gupta
2024	J	`jnl`	Learning Structural Causal Models from Ordering: Identifiable Flow Models. CoRR Minh Khoa Le, Kien Do, Truyen Tran
2024	J	`jnl`	Multi-Reference Preference Optimization for Large Language Models. CoRR Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2024	J	`jnl`	Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Predicting the Reliability of an Image Classifier under Image Distortion. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh
2024	J	`jnl`	Variational Flow Models: Flowing in Your Style. CoRR Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
2023	A*	`conf`	Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2023	J	`jnl`	Domain Generalisation via Risk Distribution Matching. CoRR Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2023	J	`jnl`	Intrinsic Motivation via Surprise Memory. CoRR Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2023	A*	`conf`	Memory-Augmented Theory of Mind Network. AAAI Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Memory-Augmented Theory of Mind Network. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh
2023	J	`jnl`	Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. Khang Nguyen, Kien Do, Truong Vu, Khoat Than
2022	—	`conf`	Black-Box Few-Shot Knowledge Distillation. ECCV (21) Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	J	`jnl`	Black-box Few-shot Knowledge Distillation. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	J	`jnl`	Defense Against Multi-target Trojan Attacks. CoRR Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
2022	A*	`conf`	Episodic Policy Gradient Training. AAAI Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2022	J	`jnl`	Face Swapping as A Simple Arithmetic Operation. CoRR Truong Vu, Kien Do, Khang Nguyen, Khoat Than
2022	J	`jnl`	Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2022	A	`conf`	Learning Theory of Mind via Dynamic Traits Attribution. AAMAS Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning Theory of Mind via Dynamic Traits Attribution. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	A*	`conf`	Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	J	`jnl`	Memory-Constrained Policy Optimization. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2021	A*	`conf`	Clustering by Maximizing Mutual Information Across Views. ICCV Kien Do, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Clustering by Maximizing Mutual Information Across Views. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2021	A	`conf`	DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
2021	J	`jnl`	Episodic Policy Gradient Training. CoRR Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2021	J	`jnl`	Semantic Host-free Trojan Attack. CoRR Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh
2021	A*	`conf`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI Kien Do, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2020	A*	`conf`	Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR Kien Do, Truyen Tran
2020	—	`conf`	Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
2020	J	`jnl`	Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
2019	J	`jnl`	Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2019	A*	`conf`	Graph Transformation Policy Network for Chemical Reaction Prediction. KDD Kien Do, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR Kien Do, Truyen Tran
2018	J	`jnl`	Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	B	`conf`	Knowledge Graph Embedding with Multiple Relation Projections. ICPR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Knowledge Graph Embedding with Multiple Relation Projections. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta
2017	J	`jnl`	Matrix-centric Neural Networks. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2016	J	`jnl`	Multilevel Anomaly Detection for Mixed Data. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2016	C	`conf`	Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh