Yuzhang Shang is an assistant professor of computer science at University of Central Florida, affiliated with the Artificial Intelligence Initiative.

Yuzhang obtained his doctoral degree in computer science at the Illinois Institute of Technology. During his doctorate journey, he was awarded the MLCommons Rising Star award in 2025. He was a visiting student at the University of Wisconsin-Madison. He interned as a researcher at Google DeepMind and Cisco Research. He received dual bachelor’s degrees in applied mathematics and economics at Wuhan University.

• Enhancing Post-training Quantization Calibration through Contrastive Learning; Yuzhang Shang, Gaowen Liu, Ramana Kompella, and Yan Yan; Computer Vision and Pattern Recognition (CVPR) 2024


• PB-LLM: Partially Binarized Large Language Models; Yuzhang Shang, Zhihang Yuan, and Zhen Dong; International Conference on Learning Representations (ICLR) 2024


• MIM4DD: Mutual Information Maximization for Dataset Distillation; Yuzhang Shang, Zhihang Yuan, and Yan Yan; Conference on Neural Information Processing Systems (NeurIPS) 2023


• Post-training Quantization on Diffusion Models; Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, and Yan Yan; Computer Vision and Pattern Recognition (CVPR) 2023


• Causal-DFQ: Causality Guided Data-free Network Quantization; Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, and Yan Yan; International Conference on Computer Vision (ICCV) 2023