Hoang Thanh-Tung

20 papers A* 3B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Forgetting: Machine Unlearning Elicits Controllable Side Behaviors and Capabilities.
CoRR
Tien Dang, The-Hai Nguyen, Dinh Mai Phuong, Nguyen Minh Phuong, Hoang Thanh-Tung, Le-Minh Nguyen, Naoya Inoue
2026 J jnl
Improving LLM Unlearning Robustness via Random Perturbations.
Trans. Mach. Learn. Res.
Dang Huu-Tien, Hoang Thanh-Tung, Anh Tuan Bui, Nguyen Minh Phuong, Nguyen Minh Le, Naoya Inoue
2025 — conf
Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
ACL (2)
Quan Nguyen-Tri, Cong Dao Tran, Hoang Thanh-Tung
2025 J jnl
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction.
CoRR
Nguyen Cong Dat, Bao Hieu Tran, Hoang Thanh-Tung
2025 J jnl
Improving the Robustness of Representation Misdirection for Large Language Model Unlearning.
CoRR
Huu-Tien Dang, Hoang Thanh-Tung, Le-Minh Nguyen, Naoya Inoue
2025 J jnl
Learning to Stop Overthinking at Test Time.
CoRR
Bao Hieu Tran, Nguyen Cong Dat, Nguyen Duc Anh, Hoang Thanh-Tung
2025 A* conf
On Effects of Steering Latent Representation for Large Language Model Unlearning.
AAAI
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung, Naoya Inoue
2025 A* conf
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks.
ICLR
Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2024 J jnl
On Effects of Steering Latent Representation for Large Language Model Unlearning.
CoRR
Huu-Tien Dang, Trung-Tin Pham, Hoang Thanh-Tung, Naoya Inoue
2024 J jnl
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks.
CoRR
Quang H. Nguyen, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
2023 J jnl
A Cosine Similarity-based Method for Out-of-Distribution Detection.
CoRR
Hieu Ngoc Nguyen, Nguyen Hung-Quang, The-Anh Ta, Thanh Nguyen-Tang, Khoa D. Doan, Hoang Thanh-Tung
2023 — conf
Class based Influence Functions for Error Detection.
ACL (2)
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Huu-Tien Dang, Hieu Nguyen, Anh T. V. Dau, Nghi D. Q. Bui
2023 J jnl
Class based Influence Functions for Error Detection.
CoRR
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Huu-Tien Dang, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui
2022 J jnl
Towards Using Data-Centric Approach for Better Code Representation Learning.
CoRR
Anh Dau, Thang Nguyen-Duc, Hoang Thanh-Tung, Nghi D. Q. Bui
2022 A* conf
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora.
ASE
Anh T. V. Dau, Nghi D. Q. Bui, Thang Nguyen-Duc, Hoang Thanh-Tung
2020 B conf
Catastrophic forgetting and mode collapse in GANs.
IJCNN
Hoang Thanh-Tung, Truyen Tran
2020 J jnl
Toward a Generalization Metric for Deep Generative Models.
CoRR
Hoang Thanh-Tung, Truyen Tran
2019 — conf
Improving Generalization and Stability of Generative Adversarial Networks.
ICLR (Poster)
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2019 J jnl
Improving Generalization and Stability of Generative Adversarial Networks.
CoRR
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2018 J jnl
On catastrophic forgetting and mode collapse in Generative Adversarial Networks.
CoRR
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh