Hi, I'm Wu Junzhe, currently a Master’s student in Electronic Information (Artificial Intelligence) at Tsinghua University, Shenzhen International Graduate School (Tsinghua SIGS). I completed my Bachelor’s degree at Beihang University (BUAA), 2021–2025, majoring in Intelligent Flight Technology.
My interests lie in Embodied AI, 3D vision, 3D Gaussian Splatting, multimodal VLA models, and Real2Sim2Real robotic systems. I focus on how perception, language and actions can be unified to build agents capable of understanding, predicting and acting in complex environments.
M.Eng. in Electronic Information (Artificial Intelligence) Current research themes:
- Embodied AI and robotic manipulation
- Multimodal VLA models (π0 family, MiMo-Embodied, Qwen-VL, etc.)
- 3DGS-based simulation and Real2Sim2Real pipelines
- Research projects and coursework in AI & robotics
B.Eng. in Intelligent Flight Technology Focused on UAV systems, robotics, computer vision and AI engineering fundamentals.
My current research mainly focuses on:
- Embodied AI training pipelines — policy learning, behavior generation, spatial reasoning
- 3D Gaussian Splatting (3DGS) reconstruction & simulation scene generation
- Multimodal VLA models for robotic perception & action
- Real-to-Sim-to-Real (R2S2R) validation in open-world settings
I emphasize conceptual understanding, algorithm insight, and reproducible engineering.
- Programming: Python, C++, basic engineering workflows
- Machine Learning: training pipelines, frameworks, model reproduction
- 3D Vision: 3DGS, reconstruction concepts, common toolchains
- Embodied AI & Robotics: basic simulators and VLA model reproduction
- Engineering: GPU environment setup, dependency management, research codebases
- Embodied task design & imitation-learning reproduction (DISCOVERSE / ACT)
- 3DGS reconstruction & scene generation reproduction (VGGT / COLMAP / gsplat)
- VLA model inference reproduction (MiMo-Embodied / π0 series)
- AI, vision, and system-engineering tasks from courses and research
Feel free to reach out for academic discussion or collaboration:
- GitHub: xyys2003
- Email: wu-jz25@mails.tsinghua.edu.cn(2715611905@qq.com)