Author

Shuai Hu

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Preprint Sep 2026

Silicon nitride nanophotonics for low-redundancy 3D convolution

Three-dimensional (3D) convolution extracts correlations in high-dimensional data, but overlapping receptive fields introduce substantial redundant data movement. Here, we demonstrate a silicon nitride 3D optical convolution accelerator (3D-OCA) that reconstructs receptive fields through coordinate-aware wavelength-to-...

Shuai Hu, Jing-Cheng Li, Qi-Chao Ding et al. · 0 citations

Open access Sep 2026

C2fDeploy: Function-Preserving Graph Rewriting to Eliminate Runtime Split Overhead on FPGA Deep Learning Processing Units

Efficient deployment of neural-network detectors on field-programmable gate array (FPGA) accelerators depends not only on model complexity but also on compiler-visible graph structure. On deep learning processing unit (DPU) platforms, unsupported operators can fragment execution between accelerator and host execution d...

Xiang Ji, Shuai Hu, Hao-Fei Wang et al. · Electronics · 0 citations