On catastrophic forgetting and mode collapse in Generative Adversarial Networks. - Hoang Thanh-Tung; Truyen Tran 001; Svetha Venkatesh (CoRR, 2018)

Improving Generalization and Stability of Generative Adversarial Networks. - Hoang Thanh-Tung; Truyen Tran 001; Svetha Venkatesh (ICLR (Poster), 2019)

Catastrophic forgetting and mode collapse in GANs. - Hoang Thanh-Tung; Truyen Tran 001 (IJCNN, 2020)

Toward a Generalization Metric for Deep Generative Models. - Hoang Thanh-Tung; Truyen Tran 001 (CoRR, 2020)

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora. - Anh T. V. Dau; Nghi D. Q. Bui; Thang Nguyen-Duc; Hoang Thanh-Tung (ASE, 2022)

Towards Using Data-Centric Approach for Better Code Representation Learning. - Anh Dau; Thang Nguyen-Duc; Hoang Thanh-Tung; Nghi D. Q. Bui (CoRR, 2022)

Class based Influence Functions for Error Detection. - Thang Nguyen-Duc; Hoang Thanh-Tung; Quan Hung Tran; Huu-Tien Dang; Hieu Nguyen; Anh T. V. Dau; Nghi D. Q. Bui (ACL (2), 2023)

Class based Influence Functions for Error Detection. - Thang Nguyen-Duc; Hoang Thanh-Tung; Quan Hung Tran; Huu-Tien Dang; Hieu Ngoc Nguyen; Anh T. V. Dau; Nghi D. Q. Bui (CoRR, 2023)

A Cosine Similarity-based Method for Out-of-Distribution Detection. - Hieu Ngoc Nguyen; Nguyen Hung-Quang; The-Anh Ta; Thanh Nguyen-Tang; Khoa D. Doan; Hoang Thanh-Tung (CoRR, 2023)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Quang H. Nguyen; Nguyen Ngoc-Hieu; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (CoRR, 2024)

On Effects of Steering Latent Representation for Large Language Model Unlearning. - Huu-Tien Dang; Trung-Tin Pham; Hoang Thanh-Tung; Naoya Inoue (CoRR, 2024)

On Effects of Steering Latent Representation for Large Language Model Unlearning. - Huu-Tien Dang; Tin Pham; Hoang Thanh-Tung; Naoya Inoue (AAAI, 2025)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Nguyen Hung-Quang; Ngoc-Hieu Nguyen; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (ICLR, 2025)

Improving the Robustness of Representation Misdirection for Large Language Model Unlearning. - Huu-Tien Dang; Hoang Thanh-Tung; Le-Minh Nguyen 001; Naoya Inoue (CoRR, 2025)

Learning to Stop Overthinking at Test Time. - Bao Hieu Tran; Nguyen Cong Dat; Nguyen Duc Anh; Hoang Thanh-Tung (CoRR, 2025)