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Book Open access Aug 2026

Single-Cell Spatial Proteomics Clustering by Decoupling Spatiality and Expression

Single-cell spatial proteomics (SP) can reveal protein expression patterns while preserving the spatial structure of tissues, providing valuable insights into cellular functions and disease mechanisms. SP data clustering is a fundamental step in such studies, but it remains in the preliminary exploration phase, facing...

Ben-Yu Wu, Shangzhi Zhang, Yue-Qun Wang et al. · 0 citations
2025

DGCBench: A Deep Graph Clustering Benchmark

Deep graph clustering (DGC) aims to partition graph nodes into distinct clusters in an unsupervised manner. Despite rapid advancements in this field, DGC remains inherently challenging due to the absence of ground-truth, which complicates the design of effective algorithms and impedes the establishment of standardized...

Ben-Yu Wu, Yue Liu, Qiaoyu Tan et al. · 4 citations
Conference Sep 2026

DyG-Seg: Unsupervised 3D Point Cloud Segmentation via Geometric Manifold Rectification

D-Seg discovers latent semantic structures and significantly outperforms state-of-the-art unsupervised methods, and enforces Spatial Geometric Consistency to rectify structural incompleteness and ensure spatially coherent semantic predictions.

Ben-Yu Wu, Kun Zhou, Xulun Ye · 0 citations

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