CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. - Zijie Fang; Yifeng Wang 001; Ye Zhang 043; Zhi Wang 001; Jian Zhang 018; Xiangyang Ji; Yongbing Zhang 002 (BIBM, 2024)

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. - Ziyue Wang 005; Ye Zhang 043; Yifeng Wang 001; Linghan Cai; Yongbing Zhang 002 (MICCAI (8), 2024)

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. - Ye Zhang 043; Ziyue Wang 005; Yifeng Wang 001; Hao Bian; Linghan Cai; Hengrui Li; Lingbo Zhang; Yongbing Zhang 002 (MIDL, 2024)

Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint. - Linghan Cai; Shenjin Huang; Ye Zhang 043; Jinpeng Lu; Yongbing Zhang 002 (CoRR, 2024)

OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer. - Xianchao Guan; Yifeng Wang 001; Ye Zhang 043; Zheng Zhang 006; Yongbing Zhang 002 (AAAI, 2025)

Category Prompt Mamba Network for Nuclei Segmentation and Classification. - Ye Zhang 043; Zijie Fang; Yifeng Wang 001; Lingbo Zhang; Xianchao Guan; Yongbing Zhang 002 (AAAI, 2025)

Correlated Multiple IHC Virtual Staining for Breast Histopathological Images. - Xianchao Guan; Zheng Zhang 006; Yifeng Wang 001; Ye Zhang 043; Danling Jiang; Yongbing Zhang 002 (ICASSP, 2025)

Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation. - Ye Zhang 043; Xianchao Guan; Hengrui Li; Xiangming Yan; Ziyue Wang 005; Yongbing Zhang 002 (ICASSP, 2025)

Relation-Aware Graph Attention Network for Nuclei Classification. - Lingbo Zhang; Ye Zhang 043; Linghan Cai; Xianchao Guan; Kai Zhang 012; Yongbing Zhang 002 (ICME, 2025)

The Four Color Theorem for Cell Instance Segmentation. - Ye Zhang 043; Yu Zhou; Yifeng Wang 001; Jun Xiao; Ziyue Wang 005; Yongbing Zhang 002; Jianxu Chen 001 (ICML, 2025)

Counting by Points: Density-Guided Weakly-Supervised Nuclei Segmentation in Histopathological Images. - Lingbo Zhang; Bingqian Sun; Linghan Cai; Yifeng Wang 001; Ye Zhang 043; Songhan Jiang; Kai Zhang 012; Yongbing Zhang 002 (ACM Multimedia, 2025)

AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes. - Linghan Cai; Shenjin Huang; Ye Zhang 043; Jinpeng Lu; Yongbing Zhang 002 (Medical Image Anal., 2025)

DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. - Ye Zhang 043; Yifeng Wang 001; Zijie Fang; Hao Bian; Linghan Cai; Ziyue Wang 005; Yongbing Zhang 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis. - Ye Zhang 043; Yu Zhou; Jingwen Qi; Yongbing Zhang 002; Simon Puettmann; Finn Wichmann; Larissa Pereira Ferreira; Lara Sichward; Julius Keyl; Sylvia Hartmann; Shuo Zhao; Hongxiao Wang; et al. (CoRR, 2025)

SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation. - Ye Zhang 043; Linghan Cai; Ziyue Wang 005; Yongbing Zhang 002 (IEEE J. Biomed. Health Informatics, 2025)

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence. - Kewen Cao; Jianxu Chen 001; Yongbing Zhang 002; Ye Zhang 043; Hongxiao Wang (CoRR, 2026)