📚 数千篇 AI、LLM、NLP、CV 顶会论文解读，每篇 5 分钟读懂核心思想。

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers

SpaCut: Transcript-aware Morphology Fusion for Robust Cell Segmentation in Subcellular Spatial Transcriptomics

Awesome Deep Multi-View Clustering is a collection of SOTA, novel deep multi-view clustering methods (papers and codes).

iSpa3D: An interpretable deep learning framework for 3D spatial domain reconstruction and domain-specific gene discovery in multi-slice spatial transcriptomics

The source code for "Identifying spatial domains from spatial multi-omics data using consistent and specific deep subspace learning"

SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

[Advanced Science 2025] SpaBatch: Deep learning-based cross-slice integration and 3D spatial domain identification in spatial transcriptomics

Imputing Microbiome Data using Conditional Diffusion Generative Models

SpaMCAF: Spatial Gene Expression Enhancement from Histology Images Using Multimodal Cross-Attention Fusion Network

Enhancing High-density Spatial Transcriptomics from Histology Images using HisHRST

SpaICL: Image-Guided Curriculum Strategy-Based Graph Contrastive Learning for Spatial Transcriptomics Clustering

[Communications Biology 2025 (under Nature Portfolio)] SpaCross is a comprehensive analytical framework designed for spatial transcriptomics data, aiming to enhance the accuracy of spatial pattern …

PearlST - Partial differential equation (PDE)-enhanced adversarial graph autoencoder to dissect spatial-temporal structures in ST data

A bidirectional cross-attention and pre-trained general-purpose foundation model-based algorithm to predict super-resolved spatial gene expression by deeply integrating histology images and LR spot…

SpaMGAC: Masked Graph Autoencoders with Contrastive Augmentation for Spatially Transcriptomics Data Analysis

We propose SpatialCVGAE, which uses multiple variational graph autoencoders with different initializations to simultaneously generate corresponding low-dimensional embeddings, and then utilizes con…

Histology Images Inspired Spatial Transcriptome Analysis

Large Language Models for Spatial Transcriptomics Analysis

[PLoS Computational Biology 2025] Domain-Adversarial Masked Autoencoder (SpaDAMA) for cell type deconvolution in spatial transcriptomics data

mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images

Globally Convergent Accelerated Block Proximal Method with Adaptive Momentum for Nonconvex Optimization

A self-supervised learning method with Vision Transformer as backbone network for resolution enhancement in spatial transcriptomics.

VTrans: A VAE-based Pre-trained Transformer Method for Microbiome Data Analysis

[PLoS Computational Biology 2025] SpaMask: Dual Masking Graph Autoencoder with Contrastive Learning for Spatial Transcriptomics

STMCL: Leveraging AI to Infer Spatial Gene Expression from Histological Data