Long Tung Vuong

11 papers A* 3A 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. ICLR Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2025	A	`conf`	Task-Driven Discrete Representation Learning. AISTATS Long Tung Vuong
2025	J	`jnl`	Why Domain Generalization Fail? A View of Necessity and Sufficiency. CoRR Long Tung Vuong, Vy Vo, Hien Dang, Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Trung Le, Dinh Q. Phung
2024	J	`jnl`	Connective Viewpoints of Signal-to-Noise Diffusion Models. CoRR Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024	J	`jnl`	Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. CoRR Anh Bui, Long Tung Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
2024	A*	`conf`	Parameter Estimation in DAGs from Incomplete Data via Optimal Transport. ICML Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung
2023	J	`jnl`	Flat Seeking Bayesian Neural Networks. CoRR Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Learning Directed Graphical Models with Optimal Transport. CoRR Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Q. Phung
2023	A*	`conf`	Vector Quantized Wasserstein Auto-Encoder. ICML Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
2022	J	`jnl`	MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. CoRR Chuanxia Zheng, Long Tung Vuong, Jianfei Cai, Dinh Q. Phung
2022	J	`jnl`	Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le