University of Minnesota, Twin Cities
Bachelor’s in Computer Science
GPA: 4.0/4.0
Efficient LLM Training & Inference Systems

Bachelor’s in Computer Science
GPA: 4.0/4.0
Artificial Intelligence
GPA: 3.85/4.0 · Rank: 1/180
University of Minnesota · Prof. Caiwen Ding
University of Minnesota · Prof. Zirui Liu, with Wenya Xie
Zelin Li, Caiwen Ding
Under review at ICLR 2027 · Preprint: arXiv:2605.28760, 2026
Zelin Li, Caiwen Ding
Preprint, 2026
Wenya Xie, Shengming Zhou, Zelin Li, et al.
Under review at ACL Rolling Review (ARR), October 2026 · Preprint: arXiv:2606.22877, 2026
An inference-native system for zeroth-order optimization of large language models.
Python · PyTorch · vLLMAn ongoing prototype for sharing GPU weight reads between inference and ready backward computation.
Training/inference co-execution · GPU schedulingPersistent Slurm GPU workspaces for coding agents, with tmux, fast local scratch, and verified backup/restore.
Python · Bash · SlurmA unified interface and reproducible benchmark framework for long-horizon LLM memory systems.
Python · PyTorch · LLM evaluationA 120-week state-machine narrative engine with a multi-agent classroom simulation.
Python · LLM APIs · Agents