I am a final year Computer Science undergradute at School of Computing, National University of Singapore.

With a passion in solving real-world problems, my research intersts lie in Embodied AI and Dexterous Manipulation. I’m actively seeking PhD opportunities beginning in August 2026 and am always open to new collaborations - please feel free to reach out~

Email: mu_zhaoyu@u.nus.edu

SELECTED COURSEWORK

• CS3263 Foundations of Artificial Intelligence: Knowledge representation and reasoning with uncertainty; Bayesian networks; Markov Decision Process

• CS4278 Intelligent Robots: Algorithms and Systems: Kinematics; Theory and Models of Grasping; Motion Planning; State Estimation; Deep Reinforcement Learning

• CS3210 Parallel Computing: Theory of parallelism and models; shared-memory, distributed-memory, and data parallel architectures; CUDA and GPGPU programming

INTERNSHIP & WORK EXPERIENCE

• Research Intern, Agency For Science and Technology, CFAR, Singapore May 2024 - Aug 2024
  • Explored diffusion-based dataset distillation methods.
  • Investigated the impact of mixing real and synthesized images on model performance.
• AI Intern, Tencent, Beijing, China Feb 2022 - Jun 2022
  • Proposed and implemented a solution to reduce false positive rates in Tencent Video AI-based Black/Blurred screen detection network; improved model’s recall and accuracy by about 5% after deployment online.
  • Conducted in-depth research and experimentation on diverse loss functions and sampling methods for Tencent News’ large-scale multi-label text classification network, leading to a 3% improvement in precision.