معرفی
Zhaozhuo Xu is an Assistant Professor of Computer Science at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. He joined Stevens in 2024 after earning his Ph.D. in Computer Science from Rice University. His research focuses on machine learning, randomized algorithms, and efficient computing for large-scale AI systems. Xu has been recognized with the AAAI 2025 New Faculty Highlights award.
His work emphasizes scalable and sustainable AI, including compression techniques for large language models (LLMs), efficient inference methods, and ethical considerations in AI deployment. Xu has served as an Area Chair for the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) and is a member of IEEE and AAAI.
Key research trends in Xu's articles include optimizing LLM efficiency through sparsity, quantization, and adaptive architectures; probing ethical boundaries in AI (e.g., copyright compliance); and developing multi-agent systems for financial decision-making. His contributions span theoretical foundations (e.g., randomized algorithms) and applied systems (e.g., on-device LLM execution).
- Awards: AAAI 2025 New Faculty Highlights
- Grants/Advising: No explicit grants listed; advising status unclear due to no student listings
- Labs/Teams: No dedicated lab/team named in provided texts
