About me

I am a junior majoring in Computer Science and Technology at Fuzhou University. My goal is to obtain a postgraduate recommendation during my undergraduate studies, and I hope to pursue in‑depth learning in my fields of interest in the future.

My main areas of interest include AI Agents, embodied intelligence, and multimodal learning. I aspire to achieve accomplishments in AI research.

Skills & Projects

Technical Skills

  • Programming Languages: C/C++
  • Frameworks & Tools: Flask, Git, Hugging Face API, basic deep‑learning libraries
  • Others: Markdown, GitHub Pages deployment, basic model inference and web interface development

Practical Experience

I have completed multiple computer‑related course practices. One representative work is building a web interactive image‑generation system. I called the Flux model via the Hugging Face API, built backend services with Flask, and designed a simple front‑end page to realize prompt‑driven AI image generation. I have also finished assignments covering computer networks and artificial intelligence‑related topics.

Self‑Assessment

Competencies I have mastered

I have grasped core undergraduate computer knowledge, including data structures, computer networks, operating systems and basic principles of artificial intelligence.

Technical directions I am interested in

My primary research interests are AI Agents, embodied intelligence, and multimodal learning. I am fascinated about how agents perceive environments, make decisions, and interact with the physical world through multi‑modal signals.

Knowledge I most want to learn

I hope to systematically learn large‑scale model fine‑tuning, multi‑modal model architecture design, agent memory and planning mechanisms, together with the theories of embodied perception. I also plan to improve my abilities in academic reading, paper writing and experimental research.

Three‑Year Plan

My core goal is to obtain postgraduate recommendation and pursue further postgraduate study in artificial intelligence research.

Year 1 (Senior Year, Undergraduate Final Year)

Strive to meet the requirements for postgraduate recommendation. Consolidate my professional foundation, complete undergraduate courses with good grades. Meanwhile, read more top papers on AI Agents, embodied intelligence and multimodal learning, try to participate in research projects, accumulate research experience, and prepare for postgraduate admission.

Year 2 (First Year of Postgraduate Study)

After getting the opportunity for further study, I will quickly get familiar with the research group’s research direction. Master relevant experimental platforms and tool chains. Participate in research tasks, learn standard research workflows, and try to complete preliminary research outputs.

Year 3 (Second Year of Postgraduate Study)

Focus on in‑depth research on my interested AI fields. Explore practical research questions, finish experimental verification, and strive to produce qualified academic publications. Lay a solid foundation for my long‑term AI‑related research career.

Reason for my goal

I am highly passionate about artificial intelligence, especially agent‑based and embodied AI research. I expect to receive systematic academic training in postgraduate studies so that I can keep exploring and make contributions in my interested research areas.