Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Qianjin Guo

h-index 2 View on Semantic Scholar

We have 2 of 10 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Jul 2026

DSSMST: A Deterministic State Space Model for Self-Supervised Spatial Domain Identification in Spatial Transcriptomics.

DSSMST is introduced, a Deterministic State Space Model for Spatial Transcriptomics, as a self-supervised learning (SSL) framework that integrates a Deterministic State Space Model (DSSM), graph neural networks (GNNs), and contrastive learning.

Jirui Zhang, Xing-Yu Liu, Mao-Yuan Zhou et al. · 0 citations
Aug 2026

CABA-Bind: Confounder-aligned backdoor adjustment for debiased RNA-ligand binding prediction.

CABA-Bind improves the reliability and ligand-specific interpretability of RNA-ligand molecular recognition modeling, and provided computational evidence suggesting that model-highlighted RNA regions around G17 and A53/A54 may contribute to ligand-associated recognition.

Xiaoqin Wang, Xingyu Liu, Zhiwei Zhang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.