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School of Life Sciences, Westlake University
- Hangzhou
- https://dbinary.github.io/
- https://orcid.org/0009-0005-5885-6711
- https://aicb.lab.westlake.edu.cn/People.htm
Highlights
- Pro
Stars
GNN based on Neural ODEs with application to epidemic spreading using the SIR model.
Cell2Sentence: Teaching Large Language Models the Language of Biology
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Python package to find communication-driven intercellular flows from single-cell RNA-sequencing and spatial transcriptomics data.
Co-accessibility network from single-cell ATAC-seq data. Python code, based on Cicero package (R).
Representation learning on large graphs using stochastic graph convolutions.
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
The fundamental package for scientific computing with Python.
Single-cell disease relevance score (scDRS)
Pilot for single cell benchmarking datasets
[CVPR 2024🔥] Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
Code for the paper: Metacognitive Retrieval-Augmented Large Language Models
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
[RecSys'23] Code of "Reciprocal Sequential Recommendation."