The optical neural network (ONN) is a promising hardware platform for
ne...
The wide adoption and significant computing resource consumption of
atte...
Photonic computing shows promise for transformative advancements in mach...
Transformers have achieved great success in machine learning application...
Transformers have attained superior performance in natural language
proc...
Among different quantum algorithms, PQC for QML show promises on near-te...
Optical computing is an emerging technology for next-generation efficien...
Analog computing has been recognized as a promising low-power alternativ...
As deep learning models and datasets rapidly scale up, network training ...
Analog/mixed-signal circuit design is one of the most complex and
time-c...
In this paper, we first propose an universal polar coding scheme for par...
Monocular 3D object detection is an essential task in autonomous driving...
In recent years 3D object detection from LiDAR point clouds has made gre...
Parameterized Quantum Circuits (PQC) are drawing increasing research int...
With the recent advances in optical phase change material (PCM), photoni...
As deep learning has shown revolutionary performance in many artificial
...
Vision transformers (ViTs) have attracted much attention for their super...
Silicon-photonics-based optical neural network (ONN) is a promising hard...
Quantum Neural Network (QNN) is a promising application towards quantum
...
Discrete cosine transform (DCT) and other Fourier-related transforms hav...
Depth Completion can produce a dense depth map from a sparse input and
p...
Deep neural networks (DNN) have shown superior performance in a variety ...
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (...
In this paper, we discuss pre-transformed RM-Polar codes and cyclic
redu...
Machine learning frameworks adopt iterative optimizers to train neural
n...
In many fields, researchers are interested in discovering features with
...
Optical neural networks (ONNs) have demonstrated record-breaking potenti...
The Kaplan–Meier (KM) estimator, which provides a nonparametric estimate...
In this paper, we prove that any pre-transformation with an upper-triang...
The use of aggregates in recursion enables efficient and scalable suppor...