Huanrui Yang
Huanrui Yang is an assistant professor in the Department of Electrical and Computer Engineering at the University of Arizona. His primary research aims to develop mathematical understandings of the efficiency and robustness of deep neural network models to make deep learning usable in real world tasks, with applications spanning from computer vision, generative model and natural language processing. He is also interested in deep learning privacy, interpretability, federated learning, and software-hardware co-design.
Prior to joining UA, Yang was a postdoctoral scholar in the EECS Department at UC Berkeley and Berkeley AI Research, under the supervision of Prof. Kurt Keutzer. He obtained his PhD in electrical and computer engineering from Duke University, under the supervision of Prof. Hai Li and Prof. Yiran Chen in the Duke CEI Lab in 2022. He earned his BE in electronic engineering from Tsinghua University in 2017.
Degrees
- PhD Electrical and Computer Engineering, Duke University, 2022
- BE Electronic Engineering, Tsinghua University, 2017
Teaching Interests
Machine learning, artificial intelligence, computer organization
Research Interests
- AI efficiency: Efficient deployment and adaptation of neural network/foundational models.
- AI security: Identifying and resolving issues on AI performance, robustness, fairness, interpretability, trustworthiness, etc.
- AI system and SW/HW codesign: Design AI algorithms that are suitable for system and hardware deployments, design system and hardware to accelerate AI deployments.
- AI application and optimization: design and optimize AI-based models and systems for emerging applications such as autonomous driving, robotics, smart health, biomedical and other natural/social science applications of interest
Awards
- 2021 Shanghai World AI Conference Yunfan Award (Future star)
- 2022 Duke ECE Outstanding Service Award
- Best paper runner-up in IEEE/ACM CHASE 2024
- Best paper award in MICRO 2021
- Best student paper award in KDD 2020