Boxun Xu
4164 Harold Frank Hall
Santa Barbara, CA 93106
I am a final-year Ph.D. student in Electrical and Computer Engineering at UC Santa Barbara, advised by Prof.Peng Li (IEEE Fellow). My research interests focus on the intersection of machine learning and computer architecture. Specifically, brain-inspired machine learning, efficient ML systems, and multimodal content generation. I received consecutive William J. McCalla Best Paper Award nominations at ICCAD 2024 and ICCAD 2025. I also completed research internships at Meta in 2024 and at Meta Superintelligence Labs(MSL) in 2025.
Since 2025, my research has focused on efficient and scalable multimodal generative models and world models.
I received my M.S. in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, advised by Prof. David Blaauw (IEEE Fellow) and Prof. Dennis Sylvester (IEEE Fellow), and my B.S. in Electronic Engineering from the University of Electronic Science and Technology of China.
news
| Nov 15, 2025 | Two papers are accepted by AAAI 2026! |
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| Oct 26, 2025 | Our work has been nominated for the William J. McCalla Best Paper Award at ICCAD 2025, for the second consecutive year! |
| Jun 30, 2025 | One paper is accepted by ICCAD 2025! |
| May 23, 2025 | One paper is accepted by ITC 2025! |
| Apr 29, 2025 | One paper is accepted by ASAP 2025! |
| Mar 21, 2025 | One paper is accepted by International Symposium on Computer Architecture (ISCA’25)! See you in Tokyo! |
| 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! |
selected publications
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AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive TransformersIn AAAI, main track, 2026 -
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard NegativesIn AAAI, main track, 2026 -
3D Acceleration for Mixture-of-Experts and Multi-Head Attention Spiking Transformers with Dynamic Head PruningIn ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2025 -
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer SensingIn ACM/IEEE International Test Conference (ITC), 2025 -
Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization SearchIn IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2025 -
Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained PruningIn International Symposium on Computer Architecture (ISCA), 2025 -
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
