About Me
I am a Research Resident under the supervision of Dr. Toan Tran, Dr. Tung Pham, and Prof. Trung Le at Qualcomm AI Research, Vietnam. Previously, I worked in Prof. Phi Le Nguyen’s group (ICN Lab) at School of Information and Communications Technology (SoICT), Hanoi University of Science and Technology (HUST). I received a bachelor’s degree in Computer Science from HUST in 2023.
My research focuses on Deep Generative Models, including Diffusion Models, Consistency Models, and Auto-Regressive Models. I am particularly interested in improving generation quality and computational efficiency in both the training and inference stages.
🔥 News
- January 2025: Our two papers Improved Training Technique for Latent Consistency Models and Boosting Multiple Views for pretrained-based Continual Learning are accepted to ICLR 2025!
- September 2024: Our paper Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation is accepted to NeurIPS 2024!
📝 Publications
Notations
- *, **: Equal contributions
- †: Project Lead & Corresponding Author
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Improved Training Technique for Latent Consistency Models
Quan Dao*†, Khanh Doan*, Di Liu, Trung Le, and Dimitris Metaxas.
The Thirteenth International Conference on Learning Representations (ICLR), 2025.
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Boosting Multiple Views for pretrained-based Continual Learning
Quyen Tran*, Lam Tran*, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than**, and Trung Le**.
The Thirteenth International Conference on Learning Representations (ICLR), 2025.
 EraseConcept.png)
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Anh Bui, Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, and Dinh Phung.
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
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Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs
Hung Cuong Nguyen, Manh Cuong Dao, Thanh Trung Nguyen, Khanh Doan, Thanh Hung Nguyen, Truong Thao Nguyen, and Phi Le Nguyen.
2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022.
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Matching the statements: A simple and accurate model for key point analysis
Hoang Phan, Long Nguyen, Long Nguyen, and Khanh Doan.
Proceedings of the 8th Workshop on Argument Mining, the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
🎖 Honors and Awards
- Second Prize in Ministerial Science and Technology Award for Students in Higher Education Institutions, 2022
- Excellent (A-class) Study Encouragement Scholarship at Hanoi University of Science and Technology, 2021
- Gold Medals for both Algebra and Calculus, Group A, Vietnamese Mathematical Olympiad for college students, Vietnam Mathematical Society (VMS), 2019
- Second Prize in Vietnamese Mathematical Olympiad (VMO), 2018
- Third Prize in Vietnamese Mathematical Olympiad (VMO), 2017
💻 Experience
- April 2025 - Now: Research Resident at Qualcomm AI Research, Vietnam
- August 2023 - March 2025: Research Resident at VinAI Research, Vietnam
- August 2021 - June 2023: ICN Lab, School of Information and Communications Technology, Hanoi University of Science and Technology (HUST), Vietnam