Lee A. Cooper

According to our database, Lee A. Cooper authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A. Cooper, Bo Zhou

CoRR, March, 2026

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

Ziqiao Weng, Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A. Cooper, Weidong Cai, Bo Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Jiahe Qian, Yaoyu Fang, Ziqiao Weng, Xinkun Wang, Lee A. Cooper, Bo Zhou

CoRR, September, 2025

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, Lee A. Cooper, Bo Zhou

CoRR, July, 2025

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

Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A. Cooper, Bo Zhou

CoRR, July, 2025