output
20202025
most citedArtificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

381 citations

6 papers

quant-ph2025★ 7 cited

Detecting quantum steering in networks

Ming-Xiao Li, Yuqi Li, Ya Xi +5

Quantum networks promise an unprecedented leap in semi-device-independent communication and security by capitalizing on quantum steering. However, current methods for assessing qua…

cs.NE2024★ 1 cited

Zeroing neural dynamics solving time-variant complex conjugate matrix equation

Jiakuang He, Dongqing Wu

Complex conjugate matrix equations (CCME) are important in computation and antilinear systems. Existing research mainly focuses on the time-invariant version, while studies on the…

math.CA2023

Fourier decay of fractal measures on surfaces of co-dimension two in

Zhenbin Cao, Changxing Miao, Zijian Wang

Fourier decay of fractal measures on surfaces plays an important role in geometric measure theory and partial differential equations. In this paper, we study the quadratic surfaces…

cs.AI2021★ 381 cited

Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

Jiafu Wan, Xiaomin Li, Hong-Ning Dai +3

The traditional production paradigm of large batch production does not offer flexibility towards satisfying the requirements of individual customers. A new generation of smart fact…

quant-ph2021★ 2 cited

Quantum key distribution over noisy channels by the testing state method

Hao Shu, Chang-Yue Zhang, Yue-Qiu Chen +2

Quantum key distribution(QKD) might be the most famous application of quantum information theory. The idea of QKD is not difficult to understand but in practical implementations, m…

cs.CV2020★ 1 cited

Cuid: A new study of perceived image quality and its subjective assessment

Lucie Lévêque, Ji Yang, Xiaohan Yang +5

Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or train…