Classification of Hazardous Chemicals with Raman Spectrum by Convolution Neural Network. - Liangrui Pan; Pronthep Pipitsunthonsan; Mitchai Chongcheawchamnan (HSI, 2020)

Noise Reduction Technique for Raman Spectrum using Deep Learning Network. - Liangrui Pan; Pronthep Pipitsunthonsan; Peng Zhang 035; Chalongrat Daengngam; Apidach Booranawong; Mitchai Chongcheawchamnan (ISCID, 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)

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)

DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. - Boya Ji; Jiawei Luo 001; Liangrui Pan; Xiaolan Xie; Shaoliang Peng (BIBM, 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 035; Fei Xia 003; Boya Ji; Wenjuan Liu; Hetian Wang; Yuan Jin; Mitchai Chongcheawchamnan; Shaoliang Peng (BIBM, 2021)

A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances. - Liangrui Pan; Peng Zhang 035; Chalongrat Daengngam; Mitchai Chongcheawchamnan (CoRR, 2021)

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. - Liangrui Pan; Lian Wang; Zhichao Feng; Zhujun Xu; Liwen Xu; Shaoliang Peng (BIBM, 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)

A review of machine learning approaches, challenges and prospects for computational tumor pathology. - Liangrui Pan; Zhichao Feng; Shaoliang Peng (CoRR, 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)

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)

Hybrid Beamforming Based on an Unsupervised Deep Learning Network for Downlink Channels With Imperfect CSI. - Peng Zhang 035; Liangrui Pan; Teeravisit Laohapensaeng; Mitchai Chongcheawchamnan (IEEE Wirel. Commun. Lett., 2022)

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 (BIBM, 2023)

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. - Liangrui Pan; Keqin Li 001; Wenjuan Liu; Liwen Xu; Zhichao Feng; Shaoliang Peng (BIBM, 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 (BIBM, 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)

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)

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)

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)

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., 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., 2023)

ParaSAT: a scalable parallel framework for sequence alignment. - Wenjuan Liu; Jianbang Xu; Liangrui Pan; Tie Cai; Shaoliang Peng (BIBM, 2024)

FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation. - Liangrui Pan; Mao Huang; Lian Wang; Pinle Qin; Shaoliang Peng (BIBM, 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 (BIBM, 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)

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)

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)

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)

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)

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., 2024)

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 (AAAI, 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)

Multi-level feature subgraph aggregation graph neural network. - Chengxin Xie; Qiya Song; Jingui Huang; Wei Chen; Liangrui Pan (Inf. Fusion, 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, 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, 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, 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, 2025)