Shaofu Lin

Orcid: 0000-0002-3653-6531

According to our database1, Shaofu Lin authored at least 66 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
KATMed: a knowledge-augmented transformer model for contraindication-aware medication recommendation in comorbidities.
J. Biomed. Informatics, 2026

FusionGraphRAG: An Adaptive Retrieval-Augmented Generation Framework for Complex Disease Management in the Elderly.
Inf., 2026

2025
EHMQA-GPT: A Knowledge Augmented Large Language Model for Personalized Elderly Health Management.
Inf., 2025

CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning.
Complex Intell. Syst., 2025

A Design of Bayesian-OptimizedWeighted Probability Fusion Model for Early Gastric Cancer Screening.
Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences, 2025

Elderly Health Consultation System Implemented with Large Language Models and Multi-Agent Systems.
Proceedings of the Health Information Science - 14th International Conference, 2025

Design of Integrated Machine Learning-Bidirectional LSTM Hybrid Model for Gastric Cancer Risk Prediction Driven by Multimodal Data.
Proceedings of the Health Information Science - 14th International Conference, 2025

2024
A Novel Design for Joint Collaborative NOMA Transmission with a Two-Hop Multi-Path UE Aggregation Mechanism.
Symmetry, August, 2024

HRP-OG: Online Learning with Generative Feature Replay for Hypertension Risk Prediction in a Nonstationary Environment.
Sensors, August, 2024

The Cost of Urban Renewal: Annual Construction Waste Estimation via Multi-Scale Target Information Extraction and Attention-Enhanced Networks in Changping District, Beijing.
Remote. Sens., June, 2024

A Construction Waste Landfill Dataset of Two Districts in Beijing, China from High Resolution Satellite Images.
Dataset, February, 2024

A Hypertension Early Warning Model Combining Generative Adversarial Networks and Long Short-Term Memory Neural Networks.
Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024

TSAC-DRM: A Drug Recommendation Model Based on Two-Stage Attention Mechanism and Constraint Learning.
Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2024

Design of A Collaborative Ranging Aware UE Aggregation Transmission Mechanism for Future IoT Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

ElderQA-GPT: A Large Language Model for Online Q&A on Geriatric Diseases Based on BGE Semantic Vector Knowledge Base and LangChain Architecture.
Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024

A Medical Consultation System for Geriatric Disease Based on Multi-agent Architecture and Knowledge Graph.
Proceedings of the Health Information Science - 13th International Conference, 2024

2023
Multi-Objective Optimization in Air-to-Air Communication System Based on Multi-Agent Deep Reinforcement Learning.
Sensors, December, 2023

A Construction Waste Landfill Dataset of Two Districts in Beijing, China from High Resolution Satellite Images.
Dataset, November, 2023

A Novel Adaptive UE Aggregation-Based Transmission Scheme Design for a Hybrid Network with Multi-Connectivity.
Symmetry, September, 2023

MS-AGAN: Road Extraction via Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds.
Remote. Sens., July, 2023

Resource Scheduling Algorithm for Delay Sensitive Service in IoT Scenarios.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Novel 3D Beamforming Based Initial Access Procedure Design for Satellite IoT.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Road extraction by using asymmetrical GAN framework and structural similarity loss.
Proceedings of the 16th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2023

Named Entity Recognition for Long COVID Biomedical Literature by Using Bert-BiLSTM-IDCNN-ATT-CRF Approach.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Understanding the Influence of Multiple Factors on the Spread of Omicron Variant Strains via the Multivariate Regression Method.
Proceedings of the Health Information Science - 12th International Conference, 2023

Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.
Proceedings of the Health Information Science - 12th International Conference, 2023

A Question and Answering System for Mental Health of the Elderly Based on BiLSTM-CRF Model and Knowledge Graph.
Proceedings of the Health Information Science - 12th International Conference, 2023

2022
MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.
BMC Bioinform., December, 2022

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

A Joint Positioning Algorithm in Industrial IoT Environments with mm-Wave Communications.
Symmetry, 2022

Accurate Recognition of Building Rooftops and Assessment of Long-Term Carbon Emission Reduction from Rooftop Solar Photovoltaic Systems Fusing GF-2 and Multi-Source Data.
Remote. Sens., 2022

Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM.
Health Inf. Sci. Syst., 2022

A Spatial-Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM2.5 Concentration Prediction.
Entropy, 2022

GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.
BMC Bioinform., 2022

TISM-CAE: A Fast Unsupervised Learning Method for Trajectory Similarity Measure via Convolutional Auto-Encoder.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

Research on the Construction of Psychological Crisis Intervention Strategy Service System.
Proceedings of the Health Information Science - 11th International Conference, 2022

A Novel Preamble Design for 5G Enabled LEO Non-Terrestrial Networks.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images.
CoRR, 2021

Medication Recommendation Based on a Knowledge-enhanced Pre-training Model.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Mental Health Question and Answering System Based on Bert Model and Knowledge Graph Technology.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

Research on Suicide Identification Method Based on Microblog "Tree Hole" Crowd.
Proceedings of the Health Information Science - 10th International Conference, 2021

Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic.
Proceedings of the Health Information Science - 10th International Conference, 2021

ST-CCN-PM<sub>2.5</sub>: fine-grained PM<sub>2.5</sub> concentration prediction via spatial-temporal causal convolution network.
Proceedings of the ARIC@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, 2021

Adaptive and Energy-Saving Smart Lighting Control Based on Deep Q-Network Algorithm.
Proceedings of the 6th International Conference on Control, Robotics and Cybernetics, 2021

Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-task Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Energy-Efficient VNF Deployment for Graph-Structured SFC Based on Graph Neural Network and Constrained Deep Reinforcement Learning.
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021

2020
A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence.
World Wide Web, 2020

Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images.
Remote. Sens., 2020

A Topic Learning Pipeline for Curating Brain Cognitive Researches.
IEEE Access, 2020

Towards Energy and Resource Efficient Design for Scalable mMTC with A Distributed Energy-Restricted Cluster Based Transmission Scheme.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Research on the Behavior Pattern of Microblog "Tree Hole" Users with Their Temporal Characteristics.
Proceedings of the Health Information Science - 9th International Conference, 2020

Telecom Fraud Identification Based on ADASYN and Random Forest.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Methods and Application of Archeological Cloud Platform for Grand Sites Based on Spatio-Temporal Big Data.
ISPRS Int. J. Geo Inf., 2019

Classification of Skin Pigmented Lesions Based on Deep Residual Network.
Proceedings of the Health Information Science - 8th International Conference, 2019

A Multi-domain Named Entity Recognition Method Based on Part-of-Speech Attention Mechanism.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

Time Recognition of Chinese Electronic Medical Record of Depression Based on Conditional Random Field.
Proceedings of the Brain Informatics - 12th International Conference, 2019

Research Sharing-Oriented Functional Neuroimaging Named Entity Recognition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Stacked-SVM: A Dynamic SVM Framework for Telephone Fraud Identification from Imbalanced CDRs.
Proceedings of the ACAI 2019: 2nd International Conference on Algorithms, 2019

2018
A Spark-Based High Performance Computational Approach for Simulating Typhoon Wind Fields.
IEEE Access, 2018

Making Semantic Annotation on Patient Data of Depression.
Proceedings of the 2nd International Conference on Medical and Health Informatics, 2018

Extraction of Semantic Relations from Medical Literature Based on Semantic Predicates and SVM.
Proceedings of the Health Information Science - 7th International Conference, 2018

Cloud Platform for the Management of Tourism Resources.
Proceedings of the 26th International Conference on Geoinformatics, 2018

Guizhou Big Data Management System and Key Technology.
Proceedings of the 26th International Conference on Geoinformatics, 2018

Text Classification of Micro-blog's "Tree Hole" Based on Convolutional Neural Network.
Proceedings of the 2018 International Conference on Algorithms, 2018

2017
Generation of Semantic Patient Data for Depression.
Proceedings of the Health Information Science - 6th International Conference, 2017

2016
Concept Recognition of Depression Drugs in Biomedical Literatures Using the Domain Relevance Measure.
Proceedings of the Brain Informatics and Health - International Conference, 2016


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