papers
Publications (3)
cs.CV2024
M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image Analysis
Junyu Li, Ye Zhang, Wen Shu +6
Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysis in computational pathology, enabling a wide range of prediction tasks from tum…
cs.LG2023
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang, Zheng Feng, Yanjun Li +5
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open chal…
cs.CV2026
CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images
Shikang Zhang, Guojun Li, Yicong Mao +1
Recent advances in pathology foundation models have substantially improved patch and slide level representation learning from whole-slide images (WSIs).However, cell-level represen…