Publications

A collection of my research work.

Rethinking Pathology Image Analysis through Shuffling

Rethinking Pathology Image Analysis through Shuffling

Z. Liu, T. Zhang, B. K. Chen, Y. Feng, S. Lyu, Y. Lei, N. Ying, Y. Feng, Y. Zhao, P. Zhang, F. Song, C. Ma, Y. He, K. Kawaguchi, H. K. Lee, Y. Jin, G. Zhang

npj Biomedical Innovations 2026

Establish pathoentity shuffling as an effective principle for pathological image analysis.

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Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories

Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories

Z. Liu, T. Zhang, Y. He, B. Wen, H. Guo, P. Zhang, C. Ma, S. Lyu, Y. Feng, Y. Zhao, Y. Jin, D. Zhao, G. Zhang

Medical Image Analysis 2026

A temporal-aware generative framework for pathological image augmentation.

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Advances in Near-Infrared Fluorescence Imaging for Biomedicine

Advances in Near-Infrared Fluorescence Imaging for Biomedicine

H. Wu, X. Li, Z. Liu, F. Song, R. Cai, H. Chen, G. Zhang

Coordination Chemistry Reviews 2026

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PathAgentBench: Benchmarking Evidence-Seeking Vision-Language Models on Whole-Slide Pathology Image

D. Liao, T. Zhang, Y. Wu, X. Zhang, Q. Xue, Z. Liu, D. Zhao, L. Cai, Y. Jin

arXiv preprint arXiv:2607.19261 2026

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Enhancing Pathological VLMs with Cross-Scale Reasoning

C. Phan, T. Zhang, Q. Xue, Y. Wu, D. Hu, Z. Liu, S. Wang, Y. Jin

arXiv preprint arXiv:2606.17412 2026

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PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling

PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling

T. Zhang, S. Chen, B. Kang, D. Liao, Q. Xue, B. Zhang, F. Xia, Z. Liu, Y. Jin

IEEE Transactions on Medical Imaging 2026

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Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation

E. Chai, S. Chen, T. Zhang, C. Wong, K. Huang, Z. Liu, F. Xia

arXiv preprint arXiv:2605.05164 2026

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DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training

DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training

B. Zhang, T. Zhang, Q. Xue, Z. Liu, D. Liao, T. Antoni, Y. H. T. Grace, S. Chen, others

IEEE Transactions on Medical Imaging 2026

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MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis

S. Chen, C. Wong, T. Zhang, E. Chai, Z. Liu, F. Xia

arXiv preprint arXiv:2604.15729 2026

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SV-FMT-DualDiff: Dual-Path Conditional Diffusion for Single-View Tomography

R. Cai, H. Wu, Z. Liu, J. Liu, H. Guo, B. Wen, G. Zhang

IEEE Transactions on Computational Imaging 2026

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StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation

StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation

Z. Liu, Y. He, T. Zhang, C. Ma, F. Song, H. Wu, R. Cai, H. Guo, B. Wen, H. Zhang, P. Zhang, D. Zhao, G. Zhang

IEEE Transactions on Medical Imaging 2025

A multi-expert diffusion framework for translating one pathological stain to multiple target stains.

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CGCA-KAN: Correction-Guided Cluster-Aware Attention and KAN Enhanced Architecture for Medical Image Segmentation

P. Zhang, Y. Wu, C. Liu, H. Zhao, X. Liu, Z. Liu, G. Zhang, W. Wang

2025 IEEE International Conference on Bioinformatics and Biomedicine 2025

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OptiPathD: A Capacity-Optimized Diffusion Foundation Model for Pathology Image Generation

OptiPathD: A Capacity-Optimized Diffusion Foundation Model for Pathology Image Generation

Z. Liu, B. Wen, T. Zhang, P. Zhang, Y. He, C. Ma, H. Guo, N. Ying, S. Lyu, others

2025 IEEE International Conference on Bioinformatics and Biomedicine 2025

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Mutual Transfer Learning for Cuff-Less Blood Pressure Estimation Using Photoplethysmography-Based Visibility Graphs

C. Ma, Z. Liu, P. Zhang, L. Guo, H. Zhang, Z. Liu, G. Zhang

Engineering Applications of Artificial Intelligence 2025

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CPIA Dataset: A Large-Scale Comprehensive Pathological Image Analysis Dataset for Self-Supervised Learning Pre-Training

N. Ying, Y. Lei, T. Zhang, S. Lyu, S. Chen, Z. Liu, Y. Feng, Y. Zhao, G. Zhang

Biomedical Signal Processing and Control 2025

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STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images

STAR: A Fast and Robust Rigid Registration Framework for Serial Histopathological Images

Z. Liu, S. Ding

arXiv preprint arXiv:2509.02952 2025

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Advances of Fluorescence Molecular Imaging: NIR-II Window, Probes, and Tomography

F. Song, P. Zhang, H. Wu, C. Ma, Z. Liu, R. Cai, Y. Feng, Y. He, X. Dong, Y. Tian, G. Zhang

Laser & Photonics Reviews 2025

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Non-Invasive Anatomical Level Cerebrovascular Imaging of Mice Using Diffusion Model-Enhanced Fluorescence Imaging

H. Wu, Y. He, Z. Liu, P. Zhang, F. Song, C. Ma, R. Cai, G. Zhang

Laser & Photonics Reviews 2025

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Unpuzzle: A Unified Framework for Pathology Image Analysis

D. Liao, S. Chen, N. Xi, Q. Xue, J. Li, L. Hou, Z. Liu, C. H. Low, Y. Wu, Y. Liu, others

arXiv preprint arXiv:2503.03152 2025

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Generating Progressive Images from Pathological Transitions via Diffusion Model

Generating Progressive Images from Pathological Transitions via Diffusion Model

Z. Liu, T. Zhang, Y. He, G. Zhang

International Conference on Medical Image Computing and Computer-Assisted Intervention 2024

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STP: Self-Supervised Transfer Learning Based on Transformer for Noninvasive Blood Pressure Estimation Using Photoplethysmography

C. Ma, P. Zhang, H. Zhang, Z. Liu, F. Song, Y. He, G. Zhang

Expert Systems with Applications 2024

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PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models with Pathological and Structural Constraints

PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models with Pathological and Structural Constraints

Y. He, Z. Liu, M. Qi, S. Ding, P. Zhang, F. Song, C. Ma, H. Wu, R. Cai, Y. Feng, H. Zhang, T. Zhang, G. Zhang

IEEE Transactions on Medical Imaging 2024

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UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation

C. Ma, P. Zhang, F. Song, Z. Liu, Y. Feng, Y. He, G. Zhang

IEEE Transactions on Artificial Intelligence 2024

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PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles

T. Zhang, S. Lyu, Y. Lei, S. Chen, N. Ying, Y. He, Y. Zhao, Y. Feng, H. K. Lee, others

arXiv preprint arXiv:2311.06712 2023

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Enhanced On-Chip Modification and Intracellular Hydrogen Peroxide Detection via Gigahertz Acoustic Streaming Microfluidic Platform

F. Zhu, Z. Liu, X. Wu, D. Xu, Q. Li, X. Chen, W. Pang, X. Duan, Y. Wang

Ultrasonics Sonochemistry 2023

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SVRNet: First Investigation of Single-View Reconstruction Network for Fluorescence Molecular Tomography

P. Zhang, C. Ma, F. Song, Z. Liu, H. Wu, Y. Feng, Y. He, D. Wang, G. Zhang

IEEE Transactions on Computational Imaging 2023

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Robust Reconstruction of Fluorescence Molecular Tomography Based on Adaptive Adversarial Learning Strategy

P. Zhang, F. Song, C. Ma, Z. Liu, H. Wu, Y. Sun, Y. Feng, Y. He, G. Zhang

Physics in Medicine & Biology 2023

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Multi-Attention Prior Based Residual Encoder-Decoder Network for Fast and Accurate Reconstruction in Fluorescence Molecular Tomography

P. Zhang, F. Song, C. Ma, Z. Liu, G. Zhang

Third International Conference on Computer Science and Communication Technology 2022

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Multi-Branch Attention Prior Based Parameterized Generative Adversarial Network for Fast and Accurate Limited-Projection Reconstruction in Fluorescence Molecular Tomography

P. Zhang, C. Ma, F. Song, Z. Liu, Y. Feng, Y. Sun, Y. He, F. Liu, D. Wang, others

Biomedical Optics Express 2022

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In Vivo Accurate Detection of the Liver Tumor with Pharmacokinetic Parametric Images from Dynamic Fluorescence Molecular Tomography

F. Liu, P. Zhang, Z. Liu, F. Song, C. Ma, Y. Sun, Y. Feng, Y. He, G. Zhang

Journal of Biomedical Optics 2022

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