2 citations · 2 across the 2 of their papers we have counts for
4 papers
Training deep physical neural networks with local physical information bottleneck
Hao Wang, Ziao Wang, Xiangpeng Liang +8
Deep learning has revolutionized modern society but faces growing energy and latency constraints. Deep physical neural networks (PNNs) are interconnected computing systems that dir…
Scalable photonic diffractive generators through sampling noises from scattering medium
Ziyu Zhan, Hao Wang, Qiang Liu +1
Photonic computing, with potentials of high parallelism, low latency and high energy efficiency, have gained progressive interest at the forefront of neural network (NN) accelerato…
Optical next generation reservoir computing
Hao Wang, Jianqi Hu, YoonSeok Baek +4
Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich comput…
Large-scale photonic computing with nonlinear disordered media
Hao Wang, Jianqi Hu, Andrea Morandi +7
Neural networks find widespread use in scientific and technological applications, yet their implementations in conventional computers have encountered bottlenecks due to ever-expan…