1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2024 • Zhiming Zhang, Zhenyu Lei, Mengchu Zhou, Hideyuki Hasegawa, Shangce Gao
The complex-valued network operations proposed in this study improve the beamforming accuracy of complex-valued ultrasound signals over traditional real-valued methods.
1 code implementation • IEEE/CAA Journal of Automatica Sinica 2024 • Zhiming Zhang, Shangce Gao, Mengchu Zhou, Mengtao Yan, Shuyang Cao
In our experiments, MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.
no code implementations • 1 Mar 2024 • Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che
Presently, two dominant paradigms for collecting tuning data are natural-instruct (human-written) and self-instruct (automatically generated).
no code implementations • 16 Feb 2024 • Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che
In this paper, we conduct comprehensive experiments on the programming languages used in PoT and find that no single language consistently delivers optimal performance across all tasks and models.
1 code implementation • IEEE/CAA Journal of Automatica Sinica 2024 • Zhiming Zhang, Zhenyu Lei, Masaaki Omura, Hideyuki Hasegawa, Shangce Gao
DVT is a groundbreaking Biomimetic Vision Transformer that combines dendritic learning and Vision Transformer architecture, showcasing superior image recognition performance through biologically inspired structures.
1 code implementation • IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023 • Zhiming Zhang, Shangce Gao, Zhenyu Lei, Runqun Xiong, Jiujun Cheng
One of the efficient tools to describe this information is protein energy functions.
1 code implementation • 26 Sep 2022 • Huanjing Yue, Zhiming Zhang, Jingyu Yang
Our code and dataset are available at https://github. com/zmzhang1998/Real-RawVSR.
1 code implementation • 15 Oct 2021 • Zhiming Zhang, Yongming Liu
Machine learning approaches have been widely used for discovering the underlying physics of dynamical systems from measured data.
1 code implementation • 8 Jul 2021 • Zhiming Zhang, Yongming Liu
Compared with the conventional Sparse Bayesian Learning (SBL) method, the PeSBL method promotes parsimony of the learned model in addition to its sparsity.
1 code implementation • 11 Jan 2021 • Zhiming Zhang, Jin Yan, Liangding Li, Hong Pan, Chuanzhi Dong
A deep learning model, long short term memory fully convolutional network (LSTM-FCN), is leveraged by assigning appropriate inputs and representative class labels for the TSC problem, First, a TSC classifier is trained and validated using the data collected under intact conditions of stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels.