Yiyu Zhuang 庄义昱

Mentoring 科研与培养方式

As an early-career faculty member, I remain closely engaged with research, coding, and paper writing. I aim to communicate frequently with each student and provide hands-on guidance in topic selection, implementation, experiments, and writing. 作为青年教师，我目前仍保持在科研、代码和论文一线，希望针对每位同学的基础和兴趣进行较高频率的交流，在选题、代码、实验和写作等环节提供具体指导。

We value research quality while respecting the pace of academic growth. Curiosity, initiative, execution, responsibility, and persistence matter more than having prior publications. 我们重视研究质量，也尊重科研成长规律。相比一开始是否已有论文，我更看重好奇心、自驱力、执行力、责任感，以及面对困难时持续推进的能力。

What We Value 申请要求

• Interest in spatial intelligence, embodied AI, 3D vision, brain–computer interfaces, or multimodal learning.
• A foundation in Python, PyTorch, mathematics, or signal processing.
• Commitment to sustained research and proactive communication.
• Experience in computer vision, deep learning, EEG analysis, or robotics is a plus.

• 对空间智能、具身智能、三维视觉、脑机接口或多模态学习感兴趣；
• 具备 Python、PyTorch、数学或信号处理等基础；
• 愿意持续投入科研，并主动沟通研究进展；
• 有计算机视觉、深度学习、脑电分析或机器人相关经验者优先。

Students from computer science, AI, automation, biomedical engineering, communications, and related disciplines are welcome. Learning ability, research interest, and execution matter more than a specific major. 欢迎计算机、人工智能、自动化、生物医学工程、通信工程等相关专业的同学联系。专业背景不是唯一标准，学习能力、科研兴趣和执行力更加重要。

How to Apply 申请方式

Please email your CV, a brief self-introduction, your research interests, and the date you can begin participating in research. 请将个人简历、简短自我介绍、感兴趣的研究方向和可以开始参与科研的时间发送至：

Subject: Application Type — University — Name — Research Interest 邮件标题：申请类型—学校—姓名—研究方向