Boxun Xu

According to our database, Boxun Xu authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing.

Yuxuan Yin, Rebecca Chen, Boxun Xu, Chen He, Peng Li

CoRR, September, 2025

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives.

Zihu Wang, Boxun Xu, Hejia Geng, Peng Li

CoRR, May, 2025

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks.

Boxun Xu, Richard Boone, Peng Li

CoRR, May, 2025

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-constrained Pruning.

Boxun Xu, Yuxuan Yin, Vikram Iyer, Peng Li

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Trimming Down Large Spiking Vision Transformers Via Heterogeneous Quantization Search.

Boxun Xu, Yufei Song, Peng Li

Proceedings of the 36th IEEE International Conference on Application-specific Systems, 2025

2024

AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices.

Zichen Fan, Qirui Zhang, Hyochan An, Boxun Xu, Li Xu, Chien-Wei Tseng, Yimai Peng, Andrea Bejarano-Carbo, Pierre Abillama, Ang Cao, Bowen Liu, Changwoo Lee, Zhehong Wang, Hun-Seok Kim, David T. Blaauw, Dennis Sylvester

IEEE J. Solid State Circuits, October, 2024

Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers.

Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Yuxuan Yin, Sung Kyu Lim, Peng Li

CoRR, 2024

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search.

Boxun Xu, Yufei Song, Peng Li

CoRR, 2024

DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention.

Boxun Xu, Hejia Geng, Yuxuan Yin, Peng Li

CoRR, 2024

ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models.

Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Spiking Transformer Hardware Accelerators in 3D Integration.

Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Sung Kyu Lim, Peng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention.

Boxun Xu, Hejia Geng, Yuxuan Yin, Peng Li

CoRR, 2023

UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities.

Hejia Geng, Boxun Xu, Peng Li

CoRR, 2023

2022

Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power Gating.

Zichen Fan, Hyochan An, Qirui Zhang, Boxun Xu, Li Xu, Chien-Wei Tseng, Yimai Peng, Ang Cao, Bowen Liu, Changwoo Lee, Zhehong Wang, Fanghao Liu, Guanru Wang, Shenghao Jiang, Hun-Seok Kim, David T. Blaauw, Dennis Sylvester

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022