research
∙
12/02/2022
Quantum NETwork: from theory to practice
The quantum internet is envisioned as the ultimate stage of the quantum ...
share
research
∙
11/21/2022
Efficient Generalization Improvement Guided by Random Weight Perturbation
To fully uncover the great potential of deep neural networks (DNNs), var...
research
∙
08/12/2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks
The wide application of deep neural networks (DNNs) demands an increasin...
research
∙
03/07/2022
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene
Sensor-based environmental perception is a crucial part of the autonomou...
research
∙
11/24/2021
Subspace Adversarial Training
Single-step adversarial training (AT) has received wide attention as it ...
research
∙
10/28/2021
Ultimate Limits of Quantum Channel Discrimination
This paper studies the difficulty of discriminating quantum channels und...
research
∙
04/13/2021
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
Random Fourier Features (RFF) demonstrate wellappreciated performance in...
research
∙
10/23/2020
Learn Robust Features via Orthogonal Multi-Path
It is now widely known that by adversarial attacks, clean images with in...
research
∙
09/10/2020
End-to-end Kernel Learning via Generative Random Fourier Features
Random Fourier features enable researchers to build feature map to learn...
research
∙
02/27/2020
Finite Block Length Analysis on Quantum Coherence Distillation and Incoherent Randomness Extraction
We introduce a variant of randomness extraction framework in the context...
research
∙
09/12/2019
A chain rule for the quantum relative entropy
The chain rule for the classical relative entropy ensures that the relat...
research
∙
09/12/2019
Geometric Rényi Divergence and its Applications in Quantum Channel Capacities
We present a systematic study of the geometric Rényi divergence (GRD), a...
research
∙
08/14/2019
