Welcome to zhulibo's personal website

Here, I will share with you my learning and practical journey in the field of computer science, covering multi-dimensional experiences such as web development and computer vision algorithms.

I hope that through this platform, I can exchange technical insights with like-minded peers and grow together. Now, follow my perspective and embark on this journey filled with code and innovation!


About Me

Name: Zhu Libo
University: Shanghai University
Major: Intelligent Science and Technology, Junior

Technical Skills

  • Programming Languages & Development Basics: Proficient in Java (OOP, collections like Map, List, Set), familiar with Python/JavaScript; backend development using Flask/Express/SpringBoot; basic knowledge of Vue3 and Echarts; experienced with browser debugging; familiar with data structures (arrays, linked lists, stacks, queues) and algorithms (sorting, two pointers, sliding window, etc.).
  • Computer Fundamentals: Knowledgeable in OS process and memory management; TCP/IP networking, HTTP/TCP/IP principles; experienced with MySQL (indexes, transactions, locks) and SQL optimization.
  • Deep Learning & 3D Vision: Proficient in Python and PyTorch; experience with models like ResNet, ConvNeXt, ViT; expertise in custom network development; familiar with panoramic image projection/inverse projection, viewport extraction, and 2D/3D quality assessment algorithms; understanding of PointNet, PointNet++ and NeRF/3DGS models with experience in creating 3D datasets.
  • Basic Development Skills: Familiar with Linux bash and vim; version control with Git; proficient in package managers (npm, pip, conda); experience with Docker for deploying large models.

Development Practices

Tongyun Huishi(铜韵慧识) — Ancient Bronze Intelligent Identification and Learning Platform

Empowering ancient bronze identification and learning through AI technology. It includes four modules: Ancient Mirror Appraisal, Bronze Encyclopedia, In-depth Bronze Study, and 3D Reconstruction. Additionally, a community platform has been built, allowing users to post, like, and collect content, with a large model function provided in the bottom right corner. (A national-level innovation and entrepreneurship project, served as the project leader, and has been used in teaching at the High School Affiliated to Renmin University of China.)

Project 1 Image 1 Project 1 Image 2 Project 1 Image 3
View Details

Multi-source Meteorological Data Visualization and Analysis Platform

Build a multi-source meteorological(historical data + real-time data) data visualization platform. It includes four functional modules: real-time weather query, historical meteorological data query, life index, and disaster warning. The front-end uses Vue3, the back-end uses SpringBoot, MySQL for data persistence, and ECharts for chart rendering.

Project 5 Image 1 Project 5 Image 2 Project 5 Image 3
View Details

Algorithm Research

Research on Ancient Bronze Classification and Dating Algorithms

By integrating features such as contour, vessel shape, and decorative patterns, an end-to-end multi-task model for the classification and dating of ancient bronzes was constructed, and a bronze artifact category-function matrix was designed to assist the classification task. Ablation experiments demonstrated that the classification accuracy reached 97.59% , and the dating accuracy reached 87.57% .

Project 2 Image 1 Project 2 Image 2 Project 2 Image 3
View Details

3D Reconstruction and Digitization of Ancient Artifacts

This project utilizes FFmpeg, Colmap, and the open-source Instant-NGP model to perform 3D reconstruction and digital processing of bronze artifacts exhibited at Shanghai University, generating high-precision 3D models.

Project 3 Image 1 Project 3 Image 2 Project 3 Image 3
View Details

Research on Panoramic Image Quality Assessment Algorithms

A subjective experiment was designed, organizing 16 participants to rate 3,200 viewport images, thereby constructing a dataset. Based on this, a weighted multi-viewport CNN algorithm was developed, with results showing that the algorithm achieved an SROCC metric of 0.9665, indicating excellent performance.

Project 4 Image 1 Project 4 Image 2 Project 4 Image 3
View Details

Contact

Email: 2295894399@qq.com