Teaching Assistant
Mai Duc Binh graduated with Excellent Honors from the Posts and Telecommunications Institute of Technology (PTIT), Hanoi, in 2026. He is currently a teaching assistant at the Faculty of Artificial Intelligence, PTIT, where he previously worked as a research assistant. His current research focuses on generative models, with particular interests in accelerating inference, reducing computational requirements, and enabling efficient deployment on resource-constrained hardware. He is also interested in applying generative models to real-time applications, where latency, computational efficiency, and resource utilization are critical considerations.
| No | Article | Authors | Journal/Conference | Year |
| 1 |
Miximotion: One-step text-to-motion generation via asymmetric set distillation |
H. Dinh, Binh Mai*, Q. B. L. Tran, L. Nguyen, and C. Tran |
Under review at the International Symposium on Information and Communication Technology (SOICT), co-first author |
2026 |
| 2 |
Swiftaudio: Data-efficient caption-only distillation for one-step text-to-audio diffusion-based generation |
Binh Mai, T. Q. B. Le, H. Dinh, and C. Tran |
Under review at IEEE Transactions on Knowledge and Data Engineering. |
2026 |
| 3 |
Synthesizing cultural heritage: An end-to-end system for designing jewelry with vietnamese hue imperial motifs |
H. Nguyen, Binh Mai*, H. Hoang, H. Dao, and C. Tran |
Proceedings of the International Symposium on Information and Communication Technology (SOICT), Co-first author, Nha Trang, Vietnam |
2025 |
| 4 |
Ts2f: Text-assisted speech-to-face generation |
Binh Duc Mai, H. M. Dinh, and C. Tran |
ICT Express |
2025 |