Weiwei Li

Mar 1, 2025 | nature.com | Weiwei Li

This study explores the application of a supervised Modified Convolutional Neural Network (CNN) for automated art classification and curation. Traditional art classification methods rely heavily on human expertise, which is time-consuming, subjective, and inconsistent. To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. The model was trained and evaluated on a custom dataset comprising 5000 artworks representing five major art styles: Impressionism, Cubism, Realism, Abstract, and Surrealism. The Modified CNN achieved an average classification accuracy of 93.0%, surpassing existing models such as ResNet50 and VGG16 in precision (93.5%), recall (92.8%), and F1-score (93.1%). Feature visualization using t-SNE and PCA highlighted the model’s ability to cluster distinct styles while identifying overlaps in challenging categories such as Abstract and Surrealism. Grad-CAM heatmaps provided insights into regions contributing to incorrect predictions, revealing opportunities for refinement. Despite its strong performance, the model faced limitations, including biases in training data and overlapping stylistic features. Future work aims to expand datasets, incorporate multimodal inputs, and improve interpretability using explainable AI techniques. This research demonstrates the potential of Modified CNNs as a scalable and consistent tool for art classification, with applications in digital curation, art education, and cultural preservation.

Jan 9, 2025 | mdpi.com | Yundan Du |Qing Chen |Fufei Wu |Weiwei Li

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Dec 8, 2024 | biorxiv.org | Bin Ma |Bin Guo Ma |Weiwei Li |Zitan Song |Stefan Fischer

AbstractMany studies have found a link between higher habitat structural complexity and increased relative brain size in vertebrates. Here we explore this relationship in a multi-species comparison, comparing ten species of wild cichlids that differ in their social and territorial behaviour, but which occur across four ecologically similar but structurally diverse rocky habitats.

Nov 20, 2024 | pubs.rsc.org | Nian Cheng |Weiwei Li |Han Pan |Zhen-Yu Xiao

Composition engineering of Cu2ZnGexSn1-xS4 nanoparticles hole transport layer for carbon electrode-based perovskite solar cells Cu2ZnSnS4 (CZTS) and Cu2ZnGeS4 (CZGS) nanoparticles are important inorganic hole transport layers (HTLs) for carbon electrode-based perovskite solar cells (C-PSCs), however the performances of the corresponding C-PSCs are still not satisfactory, which mainly originates from the un-optimized photo-electronic properties of the pristine CZTS and CZGS nanoparticles....

Feb 5, 2024 | pubs.acs.org | Weiwei Li |Zilong Wang |Vincent Wanie |Kai-Fu Wong

In metallic nanoparticles (NPs), the light electric field can drive the conduction band electrons into a collective oscillation on the nanoscale, referred to as localized surface plasmon (LSP).