CV

Education

• M.Sc. in Artificial Intelligence, Nanyang Technological University, 2026 (expected)
• B.Sc. in Data Science, Southern University of Science and Technology, 2025

Experience

• Aug 2025 – May 2026: Research Intern
  • A*STAR, Centre for Frontier AI Research (CFAR)
  • AI4Science: Transformer-based PDE solvers and physics-informed neural networks
  • Supervisor: Dr. Yueming Lyu
• May 2024 – Jul 2024: Visiting Student
  • National University of Singapore, School of Computing Summer Workshop
  • Special Mention Prize

Skills

• Deep learning: PyTorch, distributed training (DDP / torchrun)
• Generative models: Diffusion Transformers (DiT), video generation
• LLMs and transformer architectures

Publications

In-Context Learning with Unpaired Clips for Instruction-based Video Editing

Xinyao Liao, Xianfang Zeng, Ziye Song, Zhoujie Fu, Gang Yu, Guosheng Lin. (2025). "In-Context Learning with Unpaired Clips for Instruction-based Video Editing." arXiv:2510.14648.

Honors and Awards

• Special Mention Prize, NUS School of Computing Summer Workshop, 2024
• Finalist, Mathematical Contest in Modeling (MCM), 2024