Efficient AI
Semi-structural pruning and model compression for capable, resource-efficient neural networks.
AI Researcher · Math Enthusiast
Hanzuo
Liu.
Undergraduate at Tsinghua University, IIIS (Yao Class), advised by Prof. Mingyu Gao. I explore efficient AI systems through semi-structural pruning and long-term memory for intelligent agents.
01 / ABOUT
Curious about intelligence, from mathematical structure to working systems.
Under the guidance of Prof. Mingyu Gao at the IDEAL Lab, my current interests sit at the intersection of efficient model compression and memory-augmented agents. I enjoy turning mathematical ideas into clear, practical implementations—primarily in Python and PyTorch.
Agent Memory
Long-term knowledge organization and retrieval for more coherent, capable AI agents.
Mathematics
CMO 2023 Gold Medalist and participant in Phase II of China's national team training.
02 / EDUCATION
Education & journey.
Tsinghua University
Undergraduate in Computer Science at the Institute for Interdisciplinary Information Sciences (IIIS), Yao Class.
RDFZ
The High School Affiliated to Renmin University of China. Focused on mathematics olympiad.
Chinese Mathematical Olympiad
Gold Medal and National Team Training, Phase II.
03 / SELECTED WORK
Research projects.
Selected explorations in efficient learning and memory systems.
04 / TOOLKIT
Tools I work with.
My everyday toolkit for research, prototyping, and technical communication.
PythonPyTorchLinuxGitGitHubLaTeXVS Code
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