My research focuses on reducing memory footprint and accelerating deep learning models through compression techniques such as pruning, quantization, and low-rank approximation. I aim to make large models more efficient and deployable without significantly sacrificing performance.
Education
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M.S. in Computer Science, 2025-present
KAUST
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B.S. in Computer Science, 2024
Peking University