Publications

Peer-reviewed research by our team, published in top-tier journals and conferences

Featured Research

Highlighted Publications

High-impact research from our team at top venues

Nature Mach. Intell. 2019

Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning

Zhang, Z., Chen, P., McGough, M., ..., Cui, L., ..., Yang, L.

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CVPR 2023 CCF-A 75 cited

Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology WSI Classification

Li, H., Zhu, C., Zhang, Y., Sun, Y., Shui, Z., Kuang, W., Zheng, S., Yang, L.

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TMI 2025 IF 11.3

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis

Li, J., Zhu, C., Zheng, S., Chen, P., Sun, Y., Li, H., Yang, L.

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All Publications

Browse our collection of peer-reviewed research

2025

TMI

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis with Cellular-Level Control

Li, J., Zhu, C., Zheng, S., Chen, P., Sun, Y., Li, H., Yang, L. · IEEE Trans. Medical Imaging (IF 11.3)

ICASSP

Stable Test-Time Training for Semantic Segmentation with Output Contrastive Loss

Zhang, Y., Shui, Z., Li, H., Sun, Y., Zhu, C., Yang, L. · ICASSP 2025 (CCF-B)

2024

AAAI

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology

Sun, Y., Zhu, C., Zheng, S., Zhang, K., Sun, L., Shui, Z., Zhang, Y., Li, H., Yang, L. · AAAI 2024 (CCF-A, Oral) · 59 cited

ECCV

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

Sun, Y., Wu, H., Zhu, C., Zheng, S., Chen, Q., Zhang, K., Zhang, Y., Wan, D., Lan, X., ... · ECCV 2024 (CCF-A, Oral) · 7 cited

ECCV

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

Zhang, Y., Li, H., Sun, Y., Zheng, S., Zhu, C., Yang, L. · ECCV 2024 (CCF-A) · 27 cited

ECCV

Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation

Shui, Z., Zhang, Y., Yao, K., Zhu, C., Zheng, S., Li, J., Li, H., Sun, Y., Guo, R., Yang, L. · ECCV 2024 (CCF-A) · 6 cited

ECCV

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

Chen, P., Zhu, C., Zheng, S., Li, H., Yang, L. · ECCV 2024 (CCF-A) · 9 cited

NeurIPS

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis

Li, H., Zhang, Y., Chen, P., Shui, Z., Zhu, C., Yang, L. · NeurIPS 2024 (CCF-A) · 2 cited

ACM MM

PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model

Li, J., Zheng, S., Zhu, C., Sun, Y., Chen, P., Shui, Z., Zhang, Y., Li, H., Yang, L. · ACM MM 2024 (CCF-A, Oral)

MICCAI

WSICaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Chen, P., Li, H., Zhu, C., Zheng, S., Shui, Z., Yang, L. · MICCAI 2024 (CCF-B, Oral) · 12 cited

AAAI

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

Shui, Z., Zheng, S., Zhu, C., Zhang, S., Yu, X., Li, H., Li, J., Chen, P., Yang, L. · AAAI 2024 (CCF-A) · 4 cited

Neural Net.

Gradient-Aware Learning for Joint Biases: Label Noise and Class Imbalance

Zhang, S., Zhu, C., Li, H., Cai, J., Yang, L. · Neural Networks (Q1, IF 7.9) · 5 cited

CSBJ

Performance of a HER2 Testing Algorithm Tailored for Urothelial Bladder Cancer: A Bi-centre Study

Huang, A., Zhao, Y., Guan, F., Zhang, H., ... · Computational and Structural Biotechnology Journal (Q1, IF 5.1)

JIIM

Benchmarking PathCLIP for Pathology Image Analysis

Zheng, S., Cui, X., Sun, Y., Li, J., Li, H., Zhang, Y., Chen, P., Jing, X., Ye, Z., Yang, L. · J. Imaging Informatics in Medicine · 7 cited

ICME

Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting

Sun, Y., Zhu, C., Zheng, S., Zhang, Y., Li, H., Yang, L. · ICME 2024 (CCF-B) · 1 cited

ICASSP

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification

Zhang, S., Zheng, S., Shui, Z., Yang, L. · ICASSP 2024 (CCF-B) · 5 cited

BIBM

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis

Zhang, S., Zheng, S., Shui, Z., Li, H., Yang, L. · BIBM 2024 (CCF-B) · 5 cited

2023

TMI

Masked Conditional Variational Autoencoders for Chromosome Straightening

Li, J., Zheng, S., Shui, Z., Zhang, S., Yang, L., Sun, Y., Zhang, Y., Li, H., ... · IEEE Trans. Medical Imaging (IF 11.3) · 3 cited

MICCAI

Exploring Unsupervised Cell Recognition with Prior Self-Activation Maps

Chen, P., Zhu, C., Shui, Z., Cai, J., Zheng, S., Zhang, S., Yang, L. · MICCAI 2023 (CCF-B) · 7 cited

ICASSP

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables

Sun, Y., Zhu, C., Zhang, Y., Li, H., Chen, P., Yang, L. · ICASSP 2023 (CCF-B) · 3 cited

2022

MICCAI

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

Zhang, Y., Sun, Y., Li, H., Zheng, S., Zhu, C., Yang, L. · MICCAI 2022 (CCF-B) · 33 cited

MICCAI

End-to-End Cell Recognition by Point Annotation

Shui, Z., Zhang, S., Zhu, C., Wang, B., Chen, P., Zheng, S., Yang, L. · MICCAI 2022 (CCF-B) · 12 cited

MICCAI

ChrsNet: Chromosome Straightening Using Self-Attention Guided Networks

Zheng, S., Li, J., Shui, Z., Zhu, C., Zhang, Y., Chen, P., Yang, L. · MICCAI 2022 (CCF-B) · 5 cited

ISBI

Weakly Supervised Learning for Cell Recognition in Immunohistochemical Cytoplasm Staining Images

Zhang, S., Zhu, C., Li, H., Cai, J., Yang, L. · ISBI 2022 · 7 cited

ISBI

Category Separation For Weakly Supervised Multi-Class Cell Counting

Cai, J., Zhu, C., Chen, P., Zhang, S., Li, H., Sun, Y., Yang, L. · ISBI 2022 · 2 cited

ISBI

Weakly Supervised Classification Using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image

Zhu, C., Sun, Y., Li, H., Cui, C., Zhang, S., Cai, J., Ling, Y. · ISBI 2022 · 1 cited

2021

MICCAI

Generalizing Nucleus Recognition Model in Multi-Source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning

Cai, J., Zhu, C., Cui, C., Li, H., Wu, T., Zhang, S., Yang, L. · MICCAI 2021 (CCF-B) · 9 cited

J. Transl. Med.

Automated Tumor Proportion Scoring for PD-L1 Expression Based on Multistage Ensemble Strategy in NSCLC

Pan, B., Kang, Y., Jin, Y., Yang, L., Zheng, Y., Cui, L., Sun, J., Feng, J., Li, Y., Guo, L., Liang, Z. · J. Translational Medicine

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MICCAI

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Neural Networks

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