2 citations · 3 across the 2 of their papers we have counts for
4 papers
Beyond Terabit/s Integrated Neuromorphic Photonic Processor for DSP-Free Optical Interconnects
Benshan Wang, Qiarong Xiao, Tengji Xu +5
The rapid expansion of generative AI drives unprecedented demands for high-performance computing. Training large-scale AI models now requires vast interconnected GPU clusters acros…
Online training and pruning of multi-wavelength photonic neural networks
Jiawei Zhang, Weipeng Zhang, Tengji Xu +5
CMOS-compatible photonic integrated circuits (PICs) are emerging as a promising platform in artificial intelligence (AI) computing. Owing to the compact footprint of microring reso…
Perfecting Imperfect Physical Neural Networks with Transferable Robustness using Sharpness-Aware Training
Tengji Xu, Zeyu Luo, Shaojie Liu +5
AI models are essential in science and engineering, but recent advances are pushing the limits of traditional digital hardware. To address these limitations, physical neural networ…
High-precision programming of large-scale ring resonator circuits with minimal pre-calibration
Shaojie Liu, Tengji Xu, Benshan Wang +3
Microring resonators (MRRs) are essential components in large-scale photonic integrated circuits (PICs), but programming these circuits with high precision and efficiency remains a…