Tri Dung Duong

14 papers A 1B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. WWW (Companion Volume) Jonathan Lin, Aditya Joshi, Hye-Young Paik, Tri Dung Duong, Deepti Gurdasani
2025	J	`jnl`	RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. CoRR Jonathan Lin, Aditya Joshi, Hye-Young Paik, Tri Dung Duong, Deepti Gurdasani
2024	J	`jnl`	Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. Tri Dung Duong, Qian Li, Guandong Xu
2024	J	`jnl`	Causality-based counterfactual explanation for classification models. Knowl. Based Syst. Tri Dung Duong, Qian Li, Guandong Xu
2023	J	`jnl`	Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2023	—	`conf`	CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) Tri Dung Duong, Qian Li, Guandong Xu
2023	J	`jnl`	CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2022	J	`jnl`	Stochastic intervention for causal inference via reinforcement learning. Neurocomputing Tri Dung Duong, Qian Li, Guandong Xu
2021	A	`conf`	Causal-Aware Generative Imputation for Automated Underwriting. CIKM Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
2021	J	`jnl`	Prototype-based Counterfactual Explanation for Causal Classification. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2021	B	`conf`	Stochastic Intervention for Causal Effect Estimation. IJCNN Tri Dung Duong, Qian Li, Guandong Xu
2021	J	`jnl`	Stochastic Intervention for Causal Effect Estimation. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2021	J	`jnl`	Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2020	J	`jnl`	Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang