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PLAYERiv65/README.md

Zelin Li

Computer Science student at the University of Minnesota, focused on efficient LLM systems and zeroth-order optimization.

Website · CV · Email · LinkedIn

Research

  • Efficient LLM inference and post-training
  • Zeroth-order optimization
  • Algorithm–system co-design

Selected work

Education

University of Minnesota Block M University of Minnesota, Twin Cities
Bachelor’s in Computer Science · 2025–2027 · GPA: 4.0/4.0


Beijing University of Posts and Telecommunications emblem Beijing University of Posts and Telecommunications
Artificial Intelligence · 2023–2025 · GPA: 3.85/4.0 · Rank: 1/180

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  1. zo-vllm zo-vllm Public

    Code for LLM Zeroth-Order Fine-Tuning is an Inference Workload: vLLM-based LoZO/ZO fine-tuning experiments.

    Python 2

  2. EasyLocomo EasyLocomo Public

    🚀 A modern, production-ready refactor of the LoCoMo long-term memory benchmark.

    Python 5