Xuming Huang

I am a Junior Comp Sci Student at University of Wisconsin - Madison, where I work on Machine Learning Systems, Operating Systems, and Efficient Computing Infrastructure.

My research interests include MLSys, distributed systems, compiler optimization, and the intersection of systems and machine learning. I'm particularly interested in making large-scale ML training and inference more efficient.

Last summer, I did my summer session in Stanford. I got A+ (99/100) in CS107 Computer Organization & Systems, and A (93/100) in CS161 Design and Analysis of Algorithms.

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Research

I'm interested in machine learning systems, operating systems, and the intersection of systems and ML. My recent work focuses on efficient training and inference of large language models, distributed computing, and hardware-software co-design. Representative projects are highlighted.

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Selected Projects

I create interactive visualizations and educational tools for computer science concepts. See All Projects →

Heap Allocator

Heap Allocator Visualization

CS107 memory allocation strategies with coalescing and fragmentation analysis
Sorting Visualizer

Sorting Algorithm Visualizer

Interactive visualization of quicksort, mergesort, heapsort and more
Neural Network

Neural Network Playground

Train neural networks with real-time decision boundary visualization
Teaching & Tutorials

Deep Learning Architecture Tutorials:
• Understanding Transformers - Comprehensive tutorial on Transformer architecture with implementations
• GPT Implementation Guide - Step-by-step implementation and explanation of GPT models

Teaching Assistant Aspirations:
Planning to TA for COMP SCI 252: Introduction to Computer Engineering (Future semesters)

Service & Activities

Leadership: NFL Flag Football Team Captain - USST "Earthmoving Vehicles" (2023 National Champions)
Community: Peer tutor for CS252 Discussion Sections at UW-Madison (coming soon...)
Open Source: Contributing to machine learning projects and educational materials


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