Tung-Long Vuong

12 papers A* 5B 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. CoRR Anh Bui, Trang Vu, Tung-Long Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Q. Phung
2025	J	`jnl`	On the Mechanisms of Collaborative Learning in VAE Recommenders. CoRR Tung-Long Vuong, Julien Monteil, Hien Dang, Volodymyr Vaskovych, Trung Le, Vu Nguyen
2025	A*	`conf`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CVPR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung
2025	J	`jnl`	Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CoRR Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Q. Phung
2025	J	`jnl`	Task-Driven Discrete Representation Learning. CoRR Tung-Long Vuong
2024	A*	`conf`	Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. NeurIPS Anh Bui, Tung-Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
2023	A*	`conf`	Flat Seeking Bayesian Neural Networks. NeurIPS Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
2023	J	`jnl`	Vector Quantized Wasserstein Auto-Encoder. CoRR Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
2022	A*	`conf`	MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. NeurIPS Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
2019	A*	`conf`	Sharing Experience in Multitask Reinforcement Learning. IJCAI Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le
2019	J	`jnl`	Uncertainty-aware Model-based Policy Optimization. CoRR Tung-Long Vuong, Kenneth Tran
2018	B	`conf`	Vision Memory for Target Object Navigation Using Deep Reinforcement Learning: An Empirical Study. SMC Do Van Nguyen, Tung-Long Vuong, Hai-Dang Kieu, Linh Pham, Thanh Ha Le