Scholar
Boxun Xu
Google Scholar ID: MU2fk-kAAAAJ
University of California, Santa Barbara
Citations & Impact
Citations
82
H-index
4
i10-index
3
Publications
13
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- - Nominated for Best Paper Award at ICCAD 2024
- - Multiple papers accepted at ICCAD 2025, ITC 2025, ASAP 2025, ISCA 2025, etc.
- - Paper “SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks” accepted as a long paper in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
Research Experience
- - Interned at Meta in 2024 and 2025, working on Knowledge Distillation of Multi-modal Foundation Models
- - Will join an internship in Seattle in the summer of 2025, working on Efficient Movie Generation
Education
- - Ph.D.: University of California, Santa Barbara, Electrical and Computer Engineering, Advisor: Prof. Peng Li (Fellow of IEEE)
- - M.S.: University of Michigan, Ann Arbor, Electrical and Computer Engineering, Advisors: Prof. David Blaauw (Fellow of IEEE) and Prof. Dennis Sylvester (Fellow of IEEE)
- - B.S.: University of Electronic Science and Technology of China, Electronic Engineering, Advisors: Prof. Bei Yu at CUHK and Prof. Udo Schwingenschlögl at KAUST
Background
- Research Interests: Intersection of machine learning and computer architecture, specifically Brain-inspired Machine Learning, Efficient ML/LLM computing systems, and Multimodal generation. Currently a third-year PhD candidate in Electrical and Computer Engineering at UC Santa Barbara.
Miscellany
- Actively looking for research discussion and collaboration focused on Generative Model’s efficiency issues and general applications. Feel free to reach out and keep in touch for future opportunities!
