About Me
I’m Ziheng Zhou, a sophomore at IIIS (also known as the Yao Class, led by Prof. Andrew Yao) of Tsinghua University, majoring in Computer Science. My research interests lie in the intersection of machine learning and computer systems. I am particularly interested in developing algorithms and systems that speed up the training and inference of large-scale deep learning models.
I am currently working on the acceleration of the inference and serving of multimodal models, advised by Prof. Mingyu Gao. In the past, I have worked on distributed training acceleration, advised by Prof. Wei Xu, and also (not quite relevant to my current interest) on AI safety and security, advised by Prof. Tianxing He.
I am actively seeking academic internship opportunities in the field of machine learning systems.
My CV is available here.
Publications
CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering