Ye Zhang

According to our database, Ye Zhang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence.

Kewen Cao, Jianxu Chen, Yongbing Zhang, Ye Zhang, Hongxiao Wang

CoRR, January, 2026

2025

SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation.

Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang

IEEE J. Biomed. Health Informatics, August, 2025

PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis.

Ye Zhang, Yu Zhou, Jingwen Qi, Yongbing Zhang, Simon Puettmann, Finn Wichmann, Larissa Pereira Ferreira, Lara Sichward, Julius Keyl, Sylvia Hartmann, Shuo Zhao, Hongxiao Wang, Xiaowei Xu, Jianxu Chen

CoRR, August, 2025

DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions.

Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang

IEEE Trans. Circuits Syst. Video Technol., May, 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, Jinpeng Lu, Yongbing Zhang

Medical Image Anal., 2025

Counting by Points: Density-Guided Weakly-Supervised Nuclei Segmentation in Histopathological Images.

Lingbo Zhang, Bingqian Sun, Linghan Cai, Yifeng Wang, Ye Zhang, Songhan Jiang, Kai Zhang, Yongbing Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The Four Color Theorem for Cell Instance Segmentation.

Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Relation-Aware Graph Attention Network for Nuclei Classification.

Lingbo Zhang, Ye Zhang, Linghan Cai, Xianchao Guan, Kai Zhang, Yongbing Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation.

Ye Zhang, Xianchao Guan, Hengrui Li, Xiangming Yan, Ziyue Wang, Yongbing Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Correlated Multiple IHC Virtual Staining for Breast Histopathological Images.

Xianchao Guan, Zheng Zhang, Yifeng Wang, Ye Zhang, Danling Jiang, Yongbing Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Category Prompt Mamba Network for Nuclei Segmentation and Classification.

Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer.

Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint.

Linghan Cai, Shenjin Huang, Ye Zhang, Jinpeng Lu, Yongbing Zhang

CoRR, 2024

Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation.

Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation.

Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models.

Zijie Fang, Yifeng Wang, Ye Zhang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G., Jiji C. V., Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023