Jun-Jie Zhang

According to our database, Jun-Jie Zhang authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion.

Jun-Jie Zhang, Nan Cheng, Fu-Peng Li, Xiu-Cheng Wang, Jian-Nan Chen, Long-Gang Pang, Deyu Meng

CoRR, 2024

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development.

Longfei Ma, Nan Cheng, Xiucheng Wang, Jiong Chen, Yinjun Gao, Dongxiao Zhang, Jun-Jie Zhang

CoRR, 2024

Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks.

Jun-Jie Zhang, Deyu Meng

CoRR, 2024

2022

JefiGPU: Jefimenko's equations on GPU.

Jun-Jie Zhang, Jian-Nan Chen, Guo-Liang Peng, Tai-Jiao Du, Hai-Yan Xie

Comput. Phys. Commun., 2022

On the uncertainty principle of neural networks.

Jun-Jie Zhang, Dong-Xiao Zhang, Jian-Nan Chen, Long-Gang Pang

CoRR, 2022

Influence of data amount, data type and implementation packages in GPU coding.

Peng Xu, Mingyan Sun, Yin-Jun Gao, Tai-Jiao Du, Jin-Ming Hu, Jun-Jie Zhang

Array, 2022

2021

ZMCintegral-v5.1: Support for multi-function integrations on GPUs.

Xiao-Yan Cao, Jun-Jie Zhang

Comput. Phys. Commun., 2021

2020

ZMCintegral-v5: Support for Integrations with the scanning of large parameter space on multi-GPUs.

Jun-Jie Zhang, Hong-Zhong Wu

Comput. Phys. Commun., 2020

ZMCintegral: A package for multi-dimensional Monte Carlo integration on multi-GPUs.

Hong-Zhong Wu, Jun-Jie Zhang, Long-Gang Pang, Qun Wang

Comput. Phys. Commun., 2020