9 citations · 13 across the 5 of their papers we have counts for
5 papers · 1 filter
An orthogonal-to-non-orthogonal multiplexing format converter
Zijian Li, Chen Ding, Zixian Wei +5
Time-frequency orthogonality has been a foundational principle in the historical development of optical communications, whether in dense wavelength division multiplexing (WDM) with…
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…
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…
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Tengji Xu, Weipeng Zhang, Jiawei Zhang +8
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low…