Shengxiang Lin
林圣翔
Ph.D, Zhejiang University (2026)
Artificial Intelligence Academic Researcher
Xingqing Campus, 28 Xianning West Road, Xi'an City, Shaanxi Province
Zhejiang University
Ph.D. in Artificial Intelligence, College of Computer Science and Technology 2026.09 - 2031.06
University of California, Berkeley
Visiting Student, UCBX Concurrent International 2024.08 - 2024.12
Xi'an Jiaotong University
B.S. in Computer Science and Technology (Qian Xuesen Honor Class), Faculty of Electronic and Information Engineering 2022.09 - 2026.06
2025.05 - 2025.06 Lead Developer Open Source
Implement a Douban book data scraping module to collect over 100,000+ book entries and 200,000+ user records, storing this data in a PostgreSQL relational database engineered to 3NF. The system features a Flask-RESTful server that integrates Deepseek-V3’s large model API and employs a hybrid recommendation algorithm. The functionality includes the admin panel for book CRUD operations and inventory dashboards, plus the User Portal with categorized search, shopping cart transactions, hybrid algorithm-powered recommendations, and AI-driven Q&A.
2025.03 - 2025.06 Lead Developer Open Source
This project implements a distributed security service architecture, utilizing RESTful APIs for frontend-backend network interfaces and SQLx for database construction. It integrates multiple multimodal large language models such as Deepseek and Doubao, employing the LLOneBot middleware to handle request routing and dialogue state management. The system supports dynamic persona response configuration for various contexts through methods like real-time prompt modification, and has been successfully deployed and operates stably on the QQ platform.
2024.03 - 2024.04 Lead Developer Open Source
Based on XJTU's century-old history, this project transforms historical campus buildings and legends into core game narrative elements, achieving deep integration between campus culture and game content. Artistically, it employs customized pixel-art maps that fully cover the main Xingqing campus. Technically, it features a dynamically developed real-time character tracking system for automated scene transitions and a self-developed interaction engine that supports multi-character movement—including walking, running, and interactive actions—along with seamless scene rendering.