S2SNet: A Pretrained Neural Network for Superconductivity Discovery

1 code implementation • 28 Jun 2023 • Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu

To the best of our knowledge, S2SNet is the first work to predict superconductivity with only information of crystal structures.

Electrical Engineering Language Modelling +1

Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification

1 code implementation • 16 Mar 2023 • Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu

Backpropagation-based supervised learning has achieved great success in computer vision tasks.

Image Classification

BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition

1 code implementation • 2 Mar 2023 • Jiahong Zhang, Lihong Cao, Qiuxia Lai, Binyao Li, Yunxiao Qin

Several studies in neuroscience reveal that feature restoration which fills in the occluded information and is called amodal completion is essential for human brains to recognize partially occluded images.

Considering Image Information and Self-similarity: A Compositional Denoising Network

1 code implementation • 14 Sep 2022 • Jiahong Zhang, Yonggui Zhu, Wenshu Yu, Jingning Ma

Finally, image information and noise distribution information will be comprehensively considered for image denoising.

Image Denoising Noise Estimation

A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising

5 code implementations • 27 Apr 2022 • Jiahong Zhang, Meijun Qu, Ye Wang, Lihong Cao

Unlike previous attention mechanisms that handle pixel-level, channel-level, or patch-level features, MPA focuses on features at the image level.

Image Denoising