I am currently an M.S. student in Electrical and Computer Engineering at UC San Diego, specializing in Intelligent Systems, Robotics & Control.
With a passion for solving real-world problems, I have a broad interest in embodied AI with a current focus on robot learning and dexterous manipulation. I’m actively exploring PhD opportunities and am always open to new collaborations - please feel free to reach out~
Previously, I received my bachelor’s degree in Computer Science from the School of Computing at the National University of Singapore (NUS).
Email: zhmu@ucsd.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 & Preprints
