Liangrui Pan

潘良睿

Research Fellow

College of Computing and Data Science (CCDS) Nanyang Technological University (NTU) Singapore

Email: liangrui.pan@ntu.edu.sg or lip141772@gmail.com

ORCID DBLP

Liangrui Pan is currently a Research Fellow at the College of Computing and Data Science, Nanyang Technological University (NTU Singapore), under the supervision of Prof. Yang Liu. He received his Ph.D. in Electronic Information from Hunan University in June 2026, and obtained his master's degree from Prince of Songkla University under the supervision of Prof. Mitchai Chongcheawchamnan. His research focuses on artificial intelligence for healthcare, with particular interests in medical image analysis, computational pathology, multimodal learning, cancer bioinformatics, and precision oncology.

My recent work investigates weakly supervised learning for whole-slide images, tumor-microenvironment modeling, radiopathological fusion, graph neural networks, multi-omics representation learning, and clinically interpretable AI. I have authored or co-authored more than 20 peer-reviewed papers in journals and conferences including Nature Communications, Cancer Research, npj Precision Oncology, Engineering Applications of Artificial Intelligence, Computer Methods and Programs in Biomedicine, Biomedical Signal Processing and Control, IJCAI, and IEEE BIBM.

Furthermore, he has 11 patent applications currently under public substantive review, 9 granted patents, and holds 2 granted software copyrights. His honors and awards include the Outstanding Graduate Student of Hunan University (2024, 2025), the National Scholarship for Doctoral Students (2025), the Outstanding Graduate of Hunan University (2026), and the Outstanding Graduate of Hunan Province (2026).

Research Interests

• Medical artificial intelligence and computational pathology
• Multimodal and multiscale learning for precision oncology
• Whole-slide image analysis and multiple-instance learning
• Tumor-microenvironment modeling and graph neural networks
• Bioinformatics, multi-omics learning, and cancer survival analysis

News

Selected Publications

Liangrui Pan is shown in bold. * denotes first/co-first authorship; ✉ denotes corresponding authorship. Role badges describe Liangrui Pan's position in each publication; unverified non-leading roles are marked as co-author.

Journal Papers

• FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
  Liangrui Pan^*, Chenchen Nie, Xiang Wang and Shaoliang Peng
  Biomedical Signal Processing and Control, 2026.
  First author

• Computational Pathology for Precision Lung Cancer Care: Technological Foundations, Clinical Evidence, and Translational Roadmap
  Chenchen Nie, Yuxuan Xiao, Delin Nie, and Liangrui Pan ^✉
  Review manuscript, 2026.(Under review)
  Corresponding author

• Multimodal Multiscale Attention Learning for Postoperative STAS Prediction in Lung Cancer from Multicenter CT and Histopathology Images
  Liangrui Pan ^* , Shulin Liu, Chenchen Nie, Yuxuan Xiao, Xiaoshuai Wu, Donghui Ma, Manqiu Li, Rongfang He, Ling Chu, Ruixin Wang, Songqing Fan, Weihua Liao, Xiang Wang, Jiadi Luo,Chenghao Wang, Yugui Zhang and Qingchun Liang
  Research manuscript, 2026.(Under review)
  Co-first author

• An Interpretable Multiscale Graph Model Predicts Response to Chemoimmunotherapy in Intrahepatic Cholangiocarcinoma from Histopathology Images
  Liangrui Pan ^* , Zhao Zhang, Chenchen Nie, Yujie Yan, Xiaoshuai Wu, Zhihong Chen, Zhigang Zeng, Desheng Xiao, Jia Luo, Xianhai Mao, Qingchun Liang, Qiankun Li, Xiaohui Duan, and Yang Liu
  Research manuscript, 2026.(Under review)
  Co-first author

• Diffusion attention expert model for predicting and semi-automatic localizing STAS in lung cancer histopathological images
  Liangrui Pan^*✉, Jiadi Luo, Yuxuan Xiao, Chenchen Nie, Xiaoshuai Wu, Songqing Fan, Ling Chu, Manqiu Li, Rongfang He, Zhenyu Zhao, Ruixing Wang, Shulin Liu, Yiyi Liang, Xiang Wang, Qingchun Liang, and Shaoliang Peng
  Nature Communications, 2026. Open Access
  First authorCorresponding author

• A Multicenter Deep Learning Study for the Diagnosis of STAS in Histopathological Images of Lung Cancer Patients
  Liangrui Pan^*, Jiadi Luo, Chenchen Nie, Songqing Fan, and Qingchun Liang
  Laboratory Investigation, 2026.
  First author

• A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images
  Liangrui Pan^*, Jiadi Luo, Chenchen Nie, Songqing Fan, Xiang Wang, Shaoliang Peng, and Qingchun Liang
  Cancer Research, 2026.
  Co-first author

• Multi-level feature subgraph aggregation graph neural network
  Chengxin Xie, Qiya Song, Jingui Huang, Wei Chen, and Liangrui Pan
  Information Fusion, 2025.
  Co-author

• Physics-preserved graph learning of differential equations for structural dynamics
  Yu Wang, Jinzhao Li, Xuan Kong, Weiwei He, Lu Deng, Liangrui Pan, and Jiaqiang Peng
  Mechanical Systems and Signal Processing, 2025.
  Co-author

• Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter study
  Limeng Qu, Jinfeng Zhu, Xilong Mei, et al., Liangrui Pan, et al.
  EClinicalMedicine, 2025.
  Co-author

• A real-time system for monitoring and classification of human falls on stairs using 2.4 GHz XBee3 micro modules with a tri-axial accelerometer and KNN algorithms
  Apidet Booranawong, Sittiporn Sukveeraphan, Liangrui Pan, Nattha Jindapetch, Pornchai Phukpattaranont, and Hiroshi Saito
  Egyptian Informatics Journal, 2025.
  Co-author

• Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
  Yan Li, Liangrui Pan^*, Yijun Peng, Xiaoyu Li, Xiang Wang, Limeng Qu, Qiya Song, Qingchun Liang, and Shaoliang Peng
  Engineering Applications of Artificial Intelligence, 2025.
  Co-first author

• DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
  Liangrui Pan^*, Xiang Wang, Qingchun Liang, J. Shang, Wenjuan Liu, Liwen Xu, and Shaoliang Peng
  Computer Methods and Programs in Biomedicine, 2024.
  First author

• Improving prediction performance of general protein language model by domain-adaptive pretraining on DNA-binding protein
  Wenwu Zeng, Yutao Dou, Liangrui Pan, Liwen Xu, and Shaoliang Peng
  Nature Communications, 2024.
  Co-author

• Opportunities and challenges in the application of large artificial intelligence models in radiology
  Liangrui Pan^*, Zhenyu Zhao, Y. Lu, K. Tang, L. Fu, Qingchun Liang, and Shaoliang Peng
  Meta-Radiology, 2024.
  First author

• Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM
  D. Liu, W. Liu, Liangrui Pan, Yutao Dou, and J. Wu
  CCF Transactions on High Performance Computing, 2024.
  Co-author

• DHUnet: Dual-branch hierarchical global-local fusion network for whole slide image segmentation
  Lian Wang, Liangrui Pan^*, Hetian Wang, Mingting Liu, Zhichao Feng, Pengfei Rong, Zuo Chen, and Shaoliang Peng
  Biomedical Signal Processing and Control, 2023.
  Co-author

• Palm bunch grading technique using a multi-input and multi-label convolutional neural network
  Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, T. Khaorapapong, S. Nakasathien, et al.
  Computers and Electronics in Agriculture, 2023.
  Co-author

• Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
  Liangrui Pan^*, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, and Shaoliang Peng
  Biomedical Signal Processing and Control, 2022.
  First author

• Hybrid Beamforming based on an Unsupervised Deep Learning Network for Downlink Channels with Imperfect CSI
  P. Zhang, Liangrui Pan, T. Laohapensaeng, and Mitchai Chongcheawchamnan
  IEEE Wireless Communications Letters, 2022.
  Co-author

• MFDNN: Multi-channel feature deep neural network algorithm to identify COVID-19 chest X-ray images
  Liangrui Pan^*✉, Boya Ji, Hetian Wang, Lian Wang, Mingting Liu, Mitchai Chongcheawchamnan, and Shaoliang Peng
  Health Information Science and Systems, 2022.
  First authorCorresponding author

• A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances
  Liangrui Pan^*, Peng Zhang, Chalongrat Daengngam, Shaoliang Peng, and Mitchai Chongcheawchamnan
  Journal of Raman Spectroscopy, 2022.
  First author

• Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network
  Liangrui Pan^*, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, et al.
  IEEE Sensors Journal, 2021.
  First author

Conference Papers

• STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
  Liangrui Pan^*, Xiaoyu Li, Chenchen Nie, Yaning Yang and Shaoliang Peng
  International Joint Conference on Artificial Intelligence (IJCAI), 2026. CCF B
  Co-first author

• SMILE: A Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis
  Liangrui Pan^*, Xiaoyu Li, Yutao Dou, Qiya Song, Jiadi Luo, Qingchun Liang, and Shaoliang Peng
  International Joint Conference on Artificial Intelligence (IJCAI), 2025. CCF A
  Co-first author

• DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
  Liangrui Pan^*, Xingchen Li, Zhongyi Chen, Ling Chu, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. CCF B
  First author

• MSI-GNN: A Graph Neural Network for Pathogenicity Prediction of Microsatellite Insertions
  Yaning Yang, Yadong Fan, Yue Liu, Liangrui Pan^✉, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. CCF B, Best paper
  Corresponding author

• FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation
  Liangrui Pan^*, M. Huang, Lian Wang, P. Qin, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. CCF B
  Co-first author

• PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model
  Liangrui Pan^*, P. Qin, P. Rong, X. Zeng, D. Liu, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. CCF B
  First author

• LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images
  Liangrui Pan^*, G. Chen, W. Liu, Liwen Xu, X. Liu, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. CCF B
  First author

• CVFC: Attention-based cross-view feature consistency for weakly supervised semantic segmentation of pathology images
  Liangrui Pan^*, K. Li, W. Liu, Liwen Xu, Z. Feng, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. CCF B
  First author

• DFL-PiDA: Prediction of Piwi-interacting RNA-disease associations based on deep feature learning
  Boya Ji, Jiadi Luo, Liangrui Pan, X. Xie, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. CCF B
  Co-author

• FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy
  Liangrui Pan^*, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, and Shaoliang Peng
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. CCF B
  First author

• Noise Reduction Technique for Raman Spectrum using Deep Learning Network
  Liangrui Pan^*, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidet Booranawong, et al.
  International Symposium on Computational Intelligence and Design, 2020.
  First author

• Classification of Hazardous Chemicals with Raman Spectrum by Convolution Neural Network
  Liangrui Pan^*, Pronthep Pipitsunthonsan, and Mitchai Chongcheawchamnan
  International Conference on Human System Interaction (HSI), 2020.
  First author

Chinese Patents

2026

• 一种从肺癌组织病理学图像中预测气腔播散的方法，CN202511826286.3
• 基于多尺度扩散注意力专家扩散注意力模块的肺癌STAS预测方法，CN202510734589.6

2025

• 一种面向模态缺失的多模态癌症生物标志物预测方法，CN202411773074.9（已授权，CN119904411B，2025-10-28）
• 基于多模态蛋白质语言模型的DNA绑定残基预测方法，CN202411480782.3
• 一种从肺癌组织病理学图像中预测基因突变信息的方法，CN202510224833.4（已授权，CN120148029B，2025-09-30）
• 基于尺度感知多实例学习的肺癌STAS辅助诊断方法及装置，CN202510624604.1

2024

• 一种从肺癌组织病理学图像中预测气腔内播散的方法，CN202410584578.X（已授权，CN118507062B，2025-05-16）
• 基于人工智能的癌症患者生存预测方法及装置，CN202311809540.X
• 一种基于生成对抗网络增强肝脏磁共振病灶对比度的方法，CN202311531433.5
• 基于超算平台的医疗数据并行集成处理方法及系统，CN202410037338.8
• 一种适用于多种癌症的患者生存预后预测方法，CN202410378048.X（已授权，CN118039162B，2025-03-14）

2023

• 一种用于病理图像分割的双端层次化的特征融合方法，CN202211320016.1（已授权，CN115661454B，2026-04-21）
• 一种基于多头注意力机制的分析癌症多组学数据方法，CN202310538812.0（已授权，CN116580848B，2026-09-25）
• 一种基于机器学习的特征生成方法，CN202310352774.X（已授权，CN116631636B，2026-09-04）
• 一种用于医疗特征生成模型的半监督条件迁移学习方法，CN202310352952.9

2022

• 一种框架辅助肝癌组织全幻灯片的肿瘤微环境分析方法，CN202211145469.5（已授权，CN115527204B，2026-03-17）

Chinese Software Copyrights

• 基于人工智能的肺癌组织病理学图像气腔内播散检测软件，2024SR0858590
• 基于人工智能的结肠细胞核实例分割和定量软件，2022R11L1842544

© 2026 Liangrui Pan | Last updated: October 2026