| 2026 | ACL | Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models. | Hoang Phan, Xianjun Yang, Yuanshun Yao, Jingyu Zhang, Shengjie Bi, Xiaocheng Tang, Madian Khabsa, Lijuan Liu, Deren Lei |
| 2025 | CVPR | PLVM: A tuning-free approach for Personalized Large Vision-Language Model. | Chau Pham, Hoang Phan, David S. Doermann, Yunjie Tian |
| 2025 | CVPR | Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. | Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung |
| 2025 | EMNLP | Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection. | Hoang Phan, Victor Li, Qi Lei |
| 2025 | ICCV | Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective. | Hoang Phan, Lam Tran, Quyen Tran, Ngoc N. Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Q. Phung, Trung Le |
| 2024 | ICML | Controllable Prompt Tuning For Balancing Group Distributional Robustness. | Hoang Phan, Andrew Gordon Wilson, Qi Lei |
| 2023 | AISTATS | Global-Local Regularization Via Distributional Robustness. | Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung |
| 2022 | PAKDD | Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. | Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than |
| 2021 | IV | Full interpretable machine learning in 2D with inline coordinates. | Boris Kovalerchuk, Hoang Phan |