Personal Academic Archive
YU-HAN-ZOU
A quiet archive of learning, research, engineering, and long-term technical growth.
Notes, projects, experiments, and reflections from my technical journey. 从基础学习到科研系统，把成长过程沉淀成长期可检索的知识库。
Positioning
A long-term homepage for learning, research, and engineering practice.
This site is designed as a personal academic growth archive and technical portfolio, not a short-term resume page.
I am a student in Intelligent Science and Technology, focusing on algorithms, artificial intelligence, computer vision, deep learning, research projects, and engineering practice. Through long-term writing and project documentation, I want to keep a clear record of what I learn, what I build, what I test, and how my research interests evolve.
中文记录会作为补充，用来沉淀课程、算法训练、科研复现、实验室项目和阶段性反思。整体目标是专业、克制、可持续。
Featured Sections
Clear entrances for different readers.
导师、实验室同学、实习面试官和未来的我，都可以从不同入口快速理解学习轨迹、科研兴趣和项目积累。
Research Progress
Paper reading, experiment logs, blockers, and next-step decisions for long-term research work.
Engineering Projects
Runnable projects, documentation, technical stacks, and future internship-facing work.
Learning Notes
A knowledge base for CS foundations, AI, mathematics, physics, and engineering tools.
Blog Essays
More polished writing about projects, research thinking, study methods, and technical review.
Algorithms & Data Structures
Practice patterns, implementation notes, and interview-oriented foundations.
Computer Vision / Deep Learning
CNN, Transformer, detection, 3D vision, OCC, and future research directions.
Academic Roadmap
A structured path from coursework and fundamentals toward research systems.
Personal Timeline
Milestones, course progress, lab work, demos, writing, and future goals.
Latest Updates
Recent writing, projects, notes, and research logs.
Mock data is separated from components and can be replaced later by Markdown or MDX content.
From Fundamentals to Research Systems
A personal plan for connecting data structures, algorithms, deep learning, and reproducible research practice.
Boxer Project
A reserved lab project space for documenting background, goals, experiment progress, and future results.
Graph Search Templates
BFS, DFS, shortest paths, and common state modeling patterns.
Set up research logging structure
Defined fields for weekly progress, blockers, experiment settings, and next actions.