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Dongxu Lyu
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Journal Articles
- 2024
- [j3]Gang Wang, Siqi Cai, Wenjie Li, Dongxu Lyu, Guanghui He:
BSViT: A Bit-Serial Vision Transformer Accelerator Exploiting Dynamic Patch and Weight Bit-Group Quantization. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4064-4077 (2024) - [j2]Yuzhou Chen, Jinming Zhang, Dongxu Lyu, Zhenyu Li, Guanghui He:
A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors. IEEE Trans. Circuits Syst. II Express Briefs 71(7): 3528-3532 (2024) - [j1]Jinming Zhang, Xuyan Wang, Yaoyao Ye, Dongxu Lyu, Guojie Xiong, Ningyi Xu, Yong Lian, Guanghui He:
M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture. IEEE Trans. Very Large Scale Integr. Syst. 32(10): 1864-1877 (2024)
Conference and Workshop Papers
- 2024
- [c3]Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. DAC 2024: 24:1-24:6 - 2023
- [c2]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He:
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. DAC 2023: 1-6 - [c1]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He:
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. ICCAD 2023: 1-9
Informal and Other Publications
- 2024
- [i2]Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. CoRR abs/2403.10913 (2024) - 2023
- [i1]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He:
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. CoRR abs/2308.09249 (2023)
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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