Xiaoli Lin

Orcid: 0000-0002-5595-4966

According to our database1, Xiaoli Lin authored at least 65 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
A feature selection based on genetic algorithm for intrusion detection of industrial control systems.
Comput. Secur., 2024

Drug Molecule Generation Method Based on Fusion of Protein Sequence Features.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

An Optimization Method for Drug Design Based on Molecular Features.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

A 3D Liver Semantic Segmentation Method Based on U-shaped Feature Fusion Enhancement.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Knowledge Completion Method Based on Relational Embedding with GNN.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

An Efficient Drug Design Method Based on Drug-Target Affinity.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Generating Molecules Conditional on 3D Protein Pockets with HGAF.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Drug-target interaction prediction via multiple classification strategies.
BMC Bioinform., 2022

Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity.
Proceedings of the Intelligent Computing Theories and Application, 2022

An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy.
Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec.
Proceedings of the Intelligent Computing Theories and Application, 2022

KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network.
Proceedings of the Intelligent Computing Theories and Application, 2022

A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies.
Proceedings of the Intelligent Computing Theories and Application, 2022

Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Detecting Offshore Drilling Rigs with Multitemporal NDWI: A Case Study in the Caspian Sea.
Remote. Sens., 2021

Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization.
BMC Medical Informatics Decis. Mak., 2021

A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism.
Proceedings of the Intelligent Computing Theories and Application, 2021

Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks.
Proceedings of the Intelligent Computing Theories and Application, 2021

Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2021

Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions.
Proceedings of the ICBBB 2021: 11th International Conference on Bioscience, 2021

Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Efficient Classification of Hot Spots and Hub Protein Interfaces by Recursive Feature Elimination and Gradient Boosting.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

AirExplorer: visual exploration of air quality data based on time-series querying.
J. Vis., 2020

Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis.
IEEE Access, 2020

Prediction of Drug-Target Interactions with CNNs and Random Forest.
Proceedings of the Intelligent Computing Theories and Application, 2020

Drug-target Interaction Prediction via Multiple Output Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Generic-Driven Wrapper Embedded With Feature-Type-Aware Hybrid Bayesian Classifier for Breast Cancer Classification.
IEEE Access, 2019

Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Research on HP Model Optimization Method Based on Reinforcement Learning.
Proceedings of the Intelligent Computing Theories and Application, 2019

Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images.
Pattern Recognit. Lett., 2018

Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine.
J. Comput., 2018

New Particle Swarm Optimization Based on Sub-groups Mutation.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Frequent Sequence Pattern Mining with Differential Privacy.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Similarity Comparison of 3D Protein Structure Based on Riemannian Manifold.
Proceedings of the Intelligent Computing Theories and Application, 2017

Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2017

Effective Identification of Hot Spots in PPIs Based on Ensemble Learning.
Proceedings of the Intelligent Computing Theories and Application, 2017

Protein Hot Regions Feature Research Based on Evolutionary Conservation.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology.
Proceedings of the Intelligent Computing Theories and Application, 2016

Effective Protein Structure Prediction with the Improved LAPSO Algorithm in the AB Off-Lattice Model.
Proceedings of the Intelligent Computing Theories and Application, 2016

Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure.
Proceedings of the Intelligent Computing Theories and Application, 2016

A Breast Cancer Risk Classification Model Based on the Features Selected by Novel F-Score Index for the Imbalanced Multi-Feature Dataset.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

Prediction and analysis of hot region in protein-protein interactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Identification of Hot Regions in Protein-Protein Interactions Based on SVM and DBSCAN.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Protein structure prediction with local adjust tabu search algorithm.
BMC Bioinform., 2014

Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Protein folding structure optimization based on GAPSO algorithm in the off-lattice model.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2010
Existences of two solutions of one-dimensional computational verb cellular networks.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Threat Modeling for CSRF Attacks.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2007
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006


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