Publications
Journal Papers
J. Ding*, R. Liu*, H. Wen*, W. Tang*, et al.
DANCE: A Deep Learning Library and Benchmark Platform for Single-cell Analysis. [link]
Genome Biology, 2024.D. Molho*, J. Ding*, W. Tang*, et al.
Deep Learning in Single-Cell Analysis. [pdf]
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024.S. Wang, J. Huang, Z. Chen, Y. Song, W. Tang, et al.
Graph Machine Learning in the Era of Large Language Models (LLMs). [link]
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2025.J. Ding, J. Venegas, Q. Lu, Y. Wang, W. Jin, H. Wen, R. Liu, W. Tang, et al.
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. [pdf]
Journal of Computational Biology, 2024.
Conference Papers
W. Tang, et al.
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. [pdf]
NeurIPS, 2025.H. Wen*, W. Tang*, et al.
CellPLM: Pre-training of Cell Language Model Beyond Single Cells. [pdf]
ICLR, 2024.H. Mao*, Z. Chen*, W. Tang, et al.
Position: Graph Foundation Models Are Already Here. [pdf]
ICML (Spotlight), 2024.W. Tang*, H. Wen*, R. Liu*, et al.
Single-Cell Multimodal Prediction via Transformers. [pdf]
CIKM, 2023.H. Li, W. Jin, G. Skenderi, H. Shomer, W. Tang, et al.
Sub-graph Based Diffusion Model for Link Prediction.
Learning on Graphs Conference (LoG), 2024.
Preprints
W. Tang*, R. Liu*, et al.
A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models. [pdf]
bioRxiv, 2023.H. Wen, W. Tang, et al.
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Denoising. [pdf]
arXiv, 2023.J. Ding, Z. Xing, Y. Wang, R. Liu, S. Liu, Z. Huang, W. Tang, et al.
DANCE 2.0: Transforming Single-Cell Analysis from Black Box to Transparent Workflow.
bioRxiv, 2025.Y. Wang*, J. Ding*, L. Wu, A. Wardhani, P. Danaher, Q. Lu, H. Wen, W. Tang, et al.
MEM-GAN: A Pseudo Membrane Generator for Single-cell Imaging in Fluorescent Microscopy.
bioRxiv, 2023.
