collaborators

6 papers

cs.CV2026

HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression

Niu Yi, Xu Tianyi, Ma Mingming +1

Vector Quantization (VQ) based generative image compression has achieved remarkable perceptual quality. However, existing VQ codecs suffer from two fundamental limitations. First,…

cs.LG2026

Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics

Yaoyu Fang, Jiahe Qian, Xinkun Wang +2

Spatial Transcriptomics (ST) provides spatially resolved gene expression profiles within intact tissue architecture, enabling molecular analysis in histological context. However, t…

cs.CV2025

HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology

Ziqiao Weng, Yaoyu Fang, Jiahe Qian +4

Spatial transcriptomics (ST) bridges gene expression and tissue morphology but faces clinical adoption barriers due to technical complexity and prohibitive costs. While computation…

cs.CV2025

Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning

Jiahe Qian, Yaoyu Fang, Ziqiao Weng +3

Spatial transcriptomics aims to connect high-resolution histology images with spatially resolved gene expression. To achieve better performance on downstream tasks such as gene exp…

eess.IV2025

ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction

Jiahe Qian, Yaoyu Fang, Xinkun Wang +2

For 3D spatial transcriptomics (ST), the high per-section acquisition cost of fully sampling every tissue section remains a significant challenge. Although recent approaches predic…

cs.CV2025

Sparser2Sparse: Single-shot Sparser-to-Sparse Learning for Spatial Transcriptomics Imputation with Natural Image Co-learning

Yaoyu Fang, Jiahe Qian, Xinkun Wang +2

Spatial transcriptomics (ST) has revolutionized biomedical research by enabling high resolution gene expression profiling within tissues. However, the high cost and scarcity of hig…