Publications

2025

  1. ICCV Highlight
    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 Phung, and Trung Le
    Proceedings of the IEEE/CVF International Conference on Computer Vision 2025
  2. Toward a Holistic Approach to Continual Model Merging
    Hoang Phan, Sungmin Cha, Tung Lam Tran, and Qi Lei
    Workshop on Continual Learning in Computer Vision 2025
  3. Personalized Large Vision-Language Models
    Chau Pham, Hoang Phan, David Doermann, and Yunjie Tian
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2025
  4. Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
    Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, and Dinh Phung
    Proceedings of the Computer Vision and Pattern Recognition Conference 2025

2024

  1. Revisiting Data Mixing Through the Lens of Multi-Objective Optimization
    Hoang Phan
    2024
  2. Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
    Yijun Dong*, Hoang Phan*, Xiang Pan*, and Qi Lei
    Advances in Neural Information Processing Systems 2024
  3. Enhancing Domain Adaptation through Prompt Gradient Alignment
    Hoang Phan*, Lam Tran*, Quyen Tran*, and Trung Le
    Advances in Neural Information Processing Systems 2024
  4. DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
    Hao Phung*, Quan Dao*, Trung Dao, Hoang Phan, Dimitris N. Metaxas, and Anh Tran
    Advances in Neural Information Processing Systems 2024
  5. Randomly Pivoted V-optimal Design: Fast Data Selection under Low Intrinsic Dimension
    Yijun Dong*, Xiang Pan*, Hoang Phan*, and Qi Lei
    Machine Learning and Compression Workshop 2024
  6. Controllable Prompt Tuning For Balancing Group Distributional Robustness
    Hoang Phan, Andrew Gordon Wilson, and Qi Lei
    Proceedings of the 41st International Conference on Machine Learning 2024

2023

  1. Flat Seeking Bayesian Neural Networks
    Anh Nguyen, Long Vuong, Hoang Phan, Toan Do, Dinh Phung, and Trung Le
    Advances in Neural Information Processing Systems 2023
  2. Global-Local Regularization Via Distributional Robustness
    Hoang Phan, Trung Le, Trung Phung, Tuan Anh Bui, Nhat Ho, and Dinh Phung
    Proceedings of The 26th International Conference on Artificial Intelligence and Statistics 2023

2022

  1. Stochastic Multiple Target Sampling Gradient Descent
    Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, and Dinh Phung
    Advances in Neural Information Processing Systems 2022
  2. Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation
    Hoang Phan*, Phan Tuan Anh*, Son Nguyen*, Ngo Van Linh, and Khoat Than
    Advances in Knowledge Discovery and Data Mining. PAKDD. Lecture Notes in Computer Science. Springer 2022

2021

  1. Matching the statements: A simple and accurate model for key point analysis
    Hoang Phan, Long Nguyen, and Khanh Doan
    Proceedings of the 8th Workshop on Argument Mining 2021
  2. Contrastive learning for natural language-based vehicle retrieval
    Tam Nguyen, Quang Pham, Linh Doan, Hoang Trinh, Anh Nguyen, and Hoang Phan
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2021