Hoang Thanh-Tung

According to our database, Hoang Thanh-Tung authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning to Stop Overthinking at Test Time.

Bao Hieu Tran, Nguyen Cong Dat, Nguyen Duc Anh, Hoang Thanh-Tung

CoRR, February, 2025

Improving the Robustness of Representation Misdirection for Large Language Model Unlearning.

Huu-Tien Dang, Hoang Thanh-Tung, Le-Minh Nguyen, Naoya Inoue

CoRR, January, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On Effects of Steering Latent Representation for Large Language Model Unlearning.

Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung, Naoya Inoue

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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

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

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

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

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

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2020

Toward a Generalization Metric for Deep Generative Models.

Hoang Thanh-Tung, Truyen Tran

CoRR, 2020

Catastrophic forgetting and mode collapse in GANs.

Hoang Thanh-Tung, Truyen Tran

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Improving Generalization and Stability of Generative Adversarial Networks.

Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

On catastrophic forgetting and mode collapse in Generative Adversarial Networks.

Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh

CoRR, 2018