Xiaoli Lin

According to our database, Xiaoli Lin authored at least 59 papers between 2006 and 2023.

Collaborative distances:

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

2023

Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks.

Qing Ye, Xiaolong Zhang, Xiaoli Lin

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

An Efficient Drug Design Method Based on Drug-Target Affinity.

Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention.

Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Generating Molecules Conditional on 3D Protein Pockets with HGAF.

Qinglian Zhu, Xiaoli Lin, Xiaolong Zhang

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

Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs.

Xiaoli Lin, Xuan Liu, Xiaolong Zhang

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.

Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Drug-target interaction prediction via multiple classification strategies.

Qing Ye, Xiaolong Zhang, Xiaoli Lin

BMC Bioinform., 2022

Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity.

Xinyuan Zhang, Xiaoli Lin, Jing Hu, Wenquan Ding

Proceedings of the Intelligent Computing Theories and Application, 2022

An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy.

Huimin Xiang, Aoxing Li, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2022

Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec.

Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2022

KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network.

Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2022

A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies.

Jinglu Tao, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2022

Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation.

Zhuang Yin, Xiaoli Lin, Xiaolong Zhang

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.

Hui Zhu, Gongxu Jia, Qingling Zhang, Shan Zhang, Xiaoli Lin, Yanmin Shuai

Remote. Sens., 2021

Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization.

Xiaoli Lin, Xiaolong Zhang

BMC Medical Informatics Decis. Mak., 2021

A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism.

Jinfan Zou, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2021

Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks.

Qing Ye, Xiaolong Zhang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2021

Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network.

Aoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu

Proceedings of the Intelligent Computing Theories and Application, 2021

Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions.

Yuan Liu, Xiaolong Zhang, Xiaoli Lin

Proceedings of the ICBBB 2021: 11th International Conference on Bioscience, 2021

Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network.

Shuo Zhang, Xiaoli Lin, Xiaolong Zhang

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

De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder.

Qing Ye, Xiaolong Zhang, Xiaoli Lin

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

Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model.

Shuai Xu, Xiaoli Lin, Haiping Yu

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

Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network.

Aoxing Li, Xiaoli Lin, Haiping Yu

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.

Xiaoli Lin, Xiaolong Zhang, Xin Xu

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

AirExplorer: visual exploration of air quality data based on time-series querying.

Dezhan Qu, Xiaoli Lin, Ke Ren, Quanle Liu, Huijie Zhang

J. Vis., 2020

Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis.

Ke Ren, Yiyao Wu, Huijie Zhang, Jia Fu, Dezhan Qu, Xiaoli Lin

IEEE Access, 2020

Prediction of Drug-Target Interactions with CNNs and Random Forest.

Xiaoli Lin, Minqi Xu, Haiping Yu

Proceedings of the Intelligent Computing Theories and Application, 2020

Drug-target Interaction Prediction via Multiple Output Deep Learning.

Qing Ye, Xiaolong Zhang, Xiaoli Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix.

Minqi Xu, Xiaolong Zhang, Xiaoli Lin

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.

Xiaolong Zhang, Xiaoli Lin, Jiafu Zhao, Qianqian Huang, Xin Xu

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

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

Qiqige Wuniri, Wei Huangfu, Yaxi Liu, Xiaoli Lin, Liyuan Liu, Zhigang Yu

IEEE Access, 2019

Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Research on HP Model Optimization Method Based on Reinforcement Learning.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2019

Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest.

Xiaoli Lin, Fengli Zhou

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting.

Xiaoli Lin, Xiaolong Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images.

Nan Mu, Xin Xu, Xiaolong Zhang, Xiaoli Lin

Pattern Recognit. Lett., 2018

Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine.

Xiaofang Zhang, Xiaoli Lin, Rana Aamir Raza Ashfaq

J. Comput., 2018

New Particle Swarm Optimization Based on Sub-groups Mutation.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Frequent Sequence Pattern Mining with Differential Privacy.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2018

A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM.

Huayong Yang, Xiaoli Lin

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination.

Xiaoli Lin, Xiaolong Zhang, Fengli Zhou

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Similarity Comparison of 3D Protein Structure Based on Riemannian Manifold.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2017

Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions.

Xiaoli Lin, Xiaolong Zhang, Jing Hu

Proceedings of the Intelligent Computing Theories and Application, 2017

Effective Identification of Hot Spots in PPIs Based on Ensemble Learning.

Xiaoli Lin, Qianqian Huang, Fengli Zhou

Proceedings of the Intelligent Computing Theories and Application, 2017

Protein Hot Regions Feature Research Based on Evolutionary Conservation.

Jing Hu, Xiaoli Lin, Xiaolong Zhang

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology.

Yanxia Yang, Xiaoli Lin

Proceedings of the Intelligent Computing Theories and Application, 2016

Effective Protein Structure Prediction with the Improved LAPSO Algorithm in the AB Off-Lattice Model.

Xiaoli Lin, Fengli Zhou, Huayong Yang

Proceedings of the Intelligent Computing Theories and Application, 2016

Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure.

Xiaoli Lin, Xiaolong Zhang

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.

Xiaoli Lin, Wei Huangfu, Fei Wang, Liyuan Liu, Keping Long

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

Prediction and analysis of hot region in protein-protein interactions.

Xiaoli Lin, Xiaolong Zhang

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.

Xiaoli Lin, Huayong Yang, Jing Ye

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

Protein structure prediction with local adjust tabu search algorithm.

Xiaoli Lin, Xiaolong Zhang, Fengli Zhou

BMC Bioinform., 2014

Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation.

Fengli Zhou, Xiaoli Lin

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Protein folding structure optimization based on GAPSO algorithm in the off-lattice model.

Xiaoli Lin, Xiaolong Zhang

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm.

Xiaoli Lin, Fengli Zhou

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2010

Existences of two solutions of one-dimensional computational verb cellular networks.

Li Zheng, Xiaoli Lin, Fei Qiao, Tao Yang

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

Threat Modeling for CSRF Attacks.

Xiaoli Lin, Pavol Zavarsky, Ron Ruhl, Dale Lindskog

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2007

Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model.

Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006

Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm.

Xiaolong Zhang, Xiaoli Lin

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006