I am a final year Computer Science undergradute at School of Computing, National University of Singapore.
With a passion in solving real-world problems, I have a broad interest in embodied AI with current focus on robot learning and dexterous manipulation. I am currently doing Final Year Project about Robot Manipulation under the supervision of Prof. Lin SHAO. 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
- Reproduced a diffusion-based dataset distillation baseline MinimaxDiffusion.
- Authored and deployed code for experimenting effect of mixing original and synthesized images.
- 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.
Publications
