Boxun Xu
4164 Harold Frank Hall
Santa Barbara, CA 93106
I’m third-year PhD candidate in Electrical and Computer Engineering from UC Santa Barbara, advised by Prof.Peng Li. My research interest lies in the intersection of machine learning and computer architecture. Specifically, Brain-inspired Machine Learning and Efficient ML/LLM computing systems.
Before this, I received my M.S. degree in Electrical and Computer Engineering from University of Michigan, Ann Arbor, advised by Prof.David Blaauw and Prof.Dennis Sylvester, and B.S. in Electronic Engineering from University of Electronic Science and Technology of China, advised by Prof.Bei Yu at CUHK and Prof.Udo Schwingenschlögl at KAUST.
I’m 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!
news
| Mar 21, 2025 | My paper has been accepted by International Symposium on Computer Architecture(ISCA’25)! |
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| Jan 18, 2025 | Our Work “SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks” has been accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(TCAD) as a long paper! |
| Jan 03, 2025 | This summer, I will join  , working on Efficient Movie Generation in Seattle! |
| Oct 26, 2024 | Our Work “Spiking Transformer Accelerators in 3D Integration” is nominated as William J. McCalla Best Paper Award at ICCAD’24! |
| Jul 01, 2024 | Two papers are accepted by ICCAD 2024! |
| Jun 24, 2024 | I started my summer internship at , working on Knowledge Distillation of Multi-modal Foundation Models. |
| May 25, 2024 | One paper is accepted by JSSC. |
selected publications
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SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural NetworksIn IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(TCAD), 2025 -
AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT DevicesIn IEEE Journal of Solid-State Circuits(JSSC), 2024 -
Spiking Transformer Hardware Accelerators in 3D IntegrationIn ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2024 -
DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal AttentionIn TMLR under review, 2024 -
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language ModelsIn ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2024 -
Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power GatingIn 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI-Symposium), 2022
