2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.ET2024★ 1 cited
Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerators
Shupeng Ning, Hanqing Zhu, Chenghao Feng +8
In recent decades, the demand for computational power has surged, particularly with the rapid expansion of artificial intelligence (AI). As we navigate the post-Moore's law era, th…
cs.ET2021
A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning
Chenghao Feng, Jiaqi Gu, Hanqing Zhu +4
The optical neural network (ONN) is a promising hardware platform for next-generation neurocomputing due to its high parallelism, low latency, and low energy consumption. Previous…
cs.ET2020★ 2 cited
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
Jiaqi Gu, Chenghao Feng, Zheng Zhao +3
Optical neural networks (ONNs) have demonstrated record-breaking potential in high-performance neuromorphic computing due to their ultra-high execution speed and low energy consump…