Luofan Wang
CS Undergraduate & AI Researcher
Growth begins at the end of your comfort zone.
Computer Science and Technology @ UCAS
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Growth begins at the end of your comfort zone.
Computer Science and Technology @ UCAS
A dynamic web application built with HTML, JavaScript, and CSS, supporting daily-level stock trading simulation. Originally developed as a final project for "Introduction to Computer Science" course.
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A centralized LLM API relay system based on One API, supporting powerful models like DeepClaude and DeepGemini. Designed to help users maximize productivity with world-class AI capabilities.
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Reproduced and improved the PENS baseline using deep learning and reinforcement learning. Built a self-hosted ChavAPI relay platform with LLM-based prompt engineering, achieving ROUGE-1/2/L = 0.3286/0.1238/0.2938.
View ProjectA highly immersive night rain lotus pond simulator developed with C and SDL2. Features advanced 3D visual effects, dynamic weather system with 4 modes, realistic physics simulation (gravity, wind, collision), and rich audio effects. Originally developed as a final project for "Data Structures" course.
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A fully-featured Gomoku (Five-in-a-Row) game supporting human vs. human, human vs. AI, and AI vs. AI modes. Strictly implements RIF standard rules including black's forbidden moves. Features Min-Max search algorithm with Alpha-Beta pruning and OpenMP multi-threading optimization.
View ProjectHi, I'm Luofan Wang, a top-ranking Computer Science undergraduate at the University of Chinese Academy of Sciences with a GPA of 3.97/4.00 (Rank 1/88). I am the recipient of the National Scholarship (highest honor for undergraduates) and a Meritorious Winner in MCM 2025.
Currently, I work with Prof. Xiang Ao on robust graph structure learning at the Institute of Computing Technology, CAS. I'm also working under the supervision of Prof. Teng Han to build an intelligent music co-creation system, exploring AI-assisted creativity and human-AI collaboration through the Model Context Protocol (MCP). I also serve as a teaching assistant for core CS courses in UCAS.
I have a strong passion for Human-Computer Interaction (HCI), specifically in AI-assisted creativity, expressive interfaces, and human-AI collaboration. With a solid background in system implementation and research, I am eager to contribute to cutting-edge HCI research and build impactful interactive systems.
GPA 3.97/4.00, Rank 1/88
National Scholarship Recipient
Human-Computer Interaction
AI-assisted Creativity & Graph Learning
Teaching Assistant for Core CS Courses
UN-APRU SDG4GC Participant