Xianbang Wang

a pre-college student at IIIS

About Me

I am currently a senior high school student at The High School Affiliated to Renmin University of China (RDFZ). Besides, I am concurrently participating in the pre-college program in IIIS, Tsinghua University since the sophomore year of high school. In 2025, I will join the Massachusetts Institute of Technology (MIT) as a member of the Class of 2029.

My research focuses on Deep Learning, Computer Vision, Reinforcement Learning, and Algorithms. Currently, I am an undergraduate researcher supervised by Professor Kaiming He. I am working on projects of Computer Vision and Deep Generative Models, aiming to advance the performance and generalizability for modern generative models.

I am deeply passionate about algorithmic problem-solving, which led me to compete in Mathematics and Informatic Olympiads. I earned a Gold Medal at the International Mathematical Olympiad (IMO) 2024 and Silver Medals at the National Olympiad in Informatics (NOI) 2021 and 2022. These experiences honed my mathematical rigor and coding proficiency.

I’m always eager to engage in meaningful discussions and collaborate with peers who share a passion for technology, mathematics, and innovation. Let’s learn and inspire each other – feel free to reach out via my email: wang-xb24@mails.tsinghua.edu.cn!

Selected Projects

  • Customized Cloth-Fluid Simulation Using C++ and CUDA

    This is the final project for the junior course Advanced Computer Graphics at IIIS, Tsinghua University. In this project, we implement the point-based cloth simulation method (XPBD) and the cloth-fluid coupling pipeline including collision detection, constraint solving and rendering. CUDA acceleration is utilized. We also implement fully customized simulation: users can create and edit cloth and fluid objects. This project is one of the top-3 projects on simulation track.

  • Randomized Techniques in Graph Algorithms

    This is the project for the course Algorithm Design at IIIS, Tsinghua University. In the project, we study randomized algorithms in APSP, MST and Exact Matching. We implement and analyze the performance of a randomized APSP algorithm which incorporates fast matrix multiplication. We also propose a NP-complete problem “Optimal Point Traversing Path”, and design a randomized algorithm to solve a special case.

  • Repo for Test Materials

    This is a project for saving midterm and final exams of IIIS. We aim to provide ample exam mocks and preparation materials for all students in IIIS. I am currently the repository manager.