Liangrui Pan

According to our database, Liangrui Pan authored at least 38 papers between 2020 and 2025.

Collaborative distances:

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

2025

STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images.

Liangrui Pan, xiaoyu Li, Guang Zhu, Guanting Li, Ruixin Wang, Jiadi Luo, Yaning Yang, Qingchun Liang, Shaoliang Peng

CoRR, August, 2025

DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset.

Liangrui Pan, Xingchen Li, Zhongyi Chen, Ling Chu, Shaoliang Peng

CoRR, June, 2025

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset.

Liangrui Pan, Qingchun Liang, Shen Zhao, Songqing Fan, Shaoliang Peng

CoRR, June, 2025

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, Shaoliang Peng

CoRR, March, 2025

Multi-level feature subgraph aggregation graph neural network.

Chengxin Xie, Qiya Song, Jingui Huang, Wei Chen, Liangrui Pan

Inf. Fusion, 2025

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, Shaoliang Peng

Eng. Appl. Artif. Intell., 2025

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning.

Wenwu Zeng, Liangrui Pan, Boya Ji, Liwen Xu, Shaoliang Peng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Optimization of the parallel semi-Lagrangian scheme to overlap computation with communication based on grouping levels in YHGSM.

Dazheng Liu, Wenjuan Liu, Liangrui Pan, Yutao Dou, Jianping Wu

CCF Trans. High Perform. Comput., February, 2024

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer.

Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng

CoRR, 2024

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival.

Liangrui Pan, Yijun Peng, Yan Li, Yiyi Liang, Liwen Xu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.

Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data.

Liangrui Pan, Xiang Wang, Qingchun Liang, Jiandong Shang, Wenjuan Liu, Liwen Xu, Shaoliang Peng

Comput. Methods Programs Biomed., 2024

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival.

Liangrui Pan, Yijun Peng, Yan Li, Xiang Wang, Wenjuan Liu, Liwen Xu, Qingchun Liang, Shaoliang Peng

Comput. Biol. Medicine, 2024

TranSVPath: A TabTransformer-Based Model for Predicting the Pathogenicity of Structural Variants.

Yaning Yang, Jiawei Wang, Xiaoqi Wang, Liwen Xu, Liangrui Pan, Shaoliang Peng

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

FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation.

Liangrui Pan, Mao Huang, Lian Wang, Pinle Qin, Shaoliang Peng

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

ParaSAT: a scalable parallel framework for sequence alignment.

Wenjuan Liu, Jianbang Xu, Liangrui Pan, Tie Cai, Shaoliang Peng

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

2023

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, Shaoliang Peng

Biomed. Signal Process. Control., August, 2023

Palm bunch grading technique using a multi-input and multi-label convolutional neural network.

Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Sittiporn Channumsin, Mitchai Chongcheawchamnan

Comput. Electron. Agric., July, 2023

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model.

Liangrui Pan, Dazheng Liu, Zhichao Feng, Wenjuan Liu, Shaoliang Peng

CoRR, 2023

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.

Liangrui Pan, Lian Wang, Zhichao Feng, Liwen Xu, Shaoliang Peng

CoRR, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.

Liangrui Pan, Yutao Dou, Zhichao Feng, Liwen Xu, Shaoliang Peng

CoRR, 2023

Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data.

Liangrui Pan, Dazhen Liu, Yutao Dou, Lian Wang, Zhichao Feng, Pengfei Rong, Liwen Xu, Shaoliang Peng

CoRR, 2023

PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model.

Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images.

Liangrui Pan, Keqin Li, Wenjuan Liu, Liwen Xu, Zhichao Feng, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images.

Liangrui Pan, Guo Chen, Wenjuan Liu, Liwen Xu, Xuan Liu, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Hybrid Beamforming Based on an Unsupervised Deep Learning Network for Downlink Channels With Imperfect CSI.

Peng Zhang, Liangrui Pan, Teeravisit Laohapensaeng, Mitchai Chongcheawchamnan

IEEE Wirel. Commun. Lett., 2022

MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images.

Liangrui Pan, Boya Ji, Hetian Wang, Lian Wang, Mingting Liu, Mitchai Chongcheawchamnan, Shaoliang Peng

Health Inf. Sci. Syst., 2022

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.

Liangrui Pan, Lian Wang, Mingting Liu, Zhujun Xu, Liwen Xu, Shaoliang Peng

CoRR, 2022

A review of machine learning approaches, challenges and prospects for computational tumor pathology.

Liangrui Pan, Zhichao Feng, Shaoliang Peng

CoRR, 2022

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, Shaoliang Peng

Biomed. Signal Process. Control., 2022

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification.

Liangrui Pan, Lian Wang, Zhichao Feng, Zhujun Xu, Liwen Xu, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances.

Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Mitchai Chongcheawchamnan

CoRR, 2021

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, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning.

Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

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, Mitchai Chongcheawchamnan

CoRR, 2020

Method for Classifying a Noisy Raman Spectrum Based on a Wavelet Transform and a Deep Neural Network.

Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan

IEEE Access, 2020

Noise Reduction Technique for Raman Spectrum using Deep Learning Network.

Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitchai Chongcheawchamnan

Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Classification of Hazardous Chemicals with Raman Spectrum by Convolution Neural Network.

Liangrui Pan, Pronthep Pipitsunthonsan, Mitchai Chongcheawchamnan

Proceedings of the 13th International Conference on Human System Interaction, 2020