Unsupervised Sentence Simplification via Dependency Parsing. - Vy Vo; Weiqing Wang 001; Wray L. Buntine (CoRR, 2022)

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations. - Vy Vo; Trung Le 001; Van Nguyen 002; He Zhao 001; Edwin V. Bonilla; Gholamreza Haffari; Dinh Q. Phung (CoRR, 2022)

An Additive Instance-Wise Approach to Multi-class Model Interpretation. - Vy Vo; Van Nguyen 002; Trung Le 001; Quan Hung Tran; Gholamreza Haffari; Seyit Camtepe; Dinh Phung 001 (ICLR, 2023)

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations. - Vy Vo; Trung Le 001; Van Nguyen 002; He Zhao 001; Edwin V. Bonilla; Gholamreza Haffari; Dinh Q. Phung (KDD, 2023)

Learning Directed Graphical Models with Optimal Transport. - Vy Vo; Trung Le 001; Long Tung Vuong; He Zhao 001; Edwin V. Bonilla; Dinh Q. Phung (CoRR, 2023)

Optimal Transport for Structure Learning Under Missing Data. - Vy Vo; He Zhao 001; Trung Le 001; Edwin V. Bonilla; Dinh Phung 001 (ICML, 2024)

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. - Vy Vo; Trung Le 001; Long Tung Vuong; He Zhao 001; Edwin V. Bonilla; Dinh Phung 001 (ICML, 2024)

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers. - Anh Bui; Vy Vo; Tung Pham 001; Dinh Q. Phung; Trung Le 001 (CoRR, 2024)

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. - Tung-Long Vuong; Hoang Phan; Vy Vo; Anh Bui; Thanh-Toan Do; Trung Le 001; Dinh Phung 001 (CVPR, 2025)

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning. - Vy Vo; Lizhen Qu; Tao Feng 013; Yuncheng Hua; Xiaoxi Kang; Songhai Fan; Tim Dwyer; Lay-Ki Soon; Gholamreza Haffari (NAACL (Long Papers), 2025)

Why Domain Generalization Fail? A View of Necessity and Sufficiency. - Long Tung Vuong; Vy Vo; Hien Dang 004; Van-Anh Nguyen; Thanh-Toan Do; Mehrtash Harandi; Trung Le 001; Dinh Q. Phung (CoRR, 2025)