Yang Sui

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Yang Sui is a Postdoctoral Associate in the Department of Computer Science at Rice University, working with Dr. Xia (Ben) Hu and Dr. Hanjie Chen. His research focuses on Efficient AI and Trustworthy AI, particularly in deep neural networks, such as Large Language Models and Diffusion Models. Dr. Sui has published papers in top-tier academic venues such as NeurIPS, CVPR, ECCV, EMNLP, AAAI, ISCA, HPCA, DAC, ICCAD, and others. He also serves as the reviewer for top-tier conferences, including NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, and others. His work aims to advance the development of AI systems that are both computationally efficient and reliable, contributing to both foundational research and practical advancements in the field. 

Research Areas

Efficient AI, Machine Learning System, Model Compression, Trustworthy AI, Generative Model, Deep Neural Networks

Education

PhD, Rutgers University, 2024

MS, Jilin University, 2019

BS, Jilin University, 2016

Honors & Awards

Paul Panayotatos Scholarship, Rutgers University, 2024

Best Paper Runner-Up Award, DCAA workshop at AAAI, 2023

First Place of Classification Track, ESWEEK, 2023

SGS Conference Travel and Research Award, Rutgers University, 2023

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