Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay. - Khanh Doan; Quyen Tran; Tuan Nguyen 004; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. - Anh Bui; Tung-Long Vuong; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (NeurIPS, 2024)

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. - Anh Tuan Bui; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (CoRR, 2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models. - Khanh Doan; Long Tung Vuong; Tuan Nguyen 004; Anh Tuan Bui; Quyen Tran; Thanh-Toan Do; Dinh Phung 001; Trung Le 001 (CoRR, 2024)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. - Anh Bui; Long Tung Vuong; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (CoRR, 2024)

Improved Training Technique for Latent Consistency Models. - Quan Dao; Khanh Doan; Di Liu 003; Trung Le 001; Dimitris N. Metaxas (ICLR, 2025)

Boosting Multiple Views for pretrained-based Continual Learning. - Quyen Tran; Tung Lam Tran; Khanh Doan; Toan Tran 003; Dinh Q. Phung; Khoat Than; Trung Le 001 (ICLR, 2025)