Xiaoli Lin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 56

Top Topics

Recursive Feature Elimination

Top Venues

Publications

Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism. ICIC (LNBI 2) (2024)
Yu Chen, Zhuang Yin, Honghong Tan, Xiaoli Lin
Knowledge Completion Method Based on Relational Embedding with GNN. ICIC (13) (2024)
Xuan Liu, Xiaoli Lin, Fengli Zhou
An Optimization Method for Drug Design Based on Molecular Features. ICIC (LNBI 1) (2024)
Daoran Jiang, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren
A 3D Liver Semantic Segmentation Method Based on U-shaped Feature Fusion Enhancement. ICIC (2) (2024)
Yushan Fang, Yu Yao, Xiaoli Lin, Jiaxuan Wang, Hao Zhai
A feature selection based on genetic algorithm for intrusion detection of industrial control systems. Comput. Secur. 139 (2024)
Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang
Drug Molecule Generation Method Based on Fusion of Protein Sequence Features. ICIC (LNBI 2) (2024)
Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. ICIC (3) (2023)
Xiaoli Lin, Xuan Liu, Xiaolong Zhang
Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs. BIBM (2023)
Qinglian Zhu, Xiaoli Lin, Xiaolong Zhang
Generating Molecules Conditional on 3D Protein Pockets with HGAF. BIBM (2023)
Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
An Efficient Drug Design Method Based on Drug-Target Affinity. ICIC (3) (2023)
Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. ADMA (3) (2023)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Zhuang Yin, Xiaoli Lin, Xiaolong Zhang
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation. BIBM (2022)
Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin
Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec. ICIC (2) (2022)
Xinyuan Zhang, Xiaoli Lin, Jing Hu, Wenquan Ding
Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity. ICIC (2) (2022)
Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin
KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network. ICIC (2) (2022)
Jinglu Tao, Xiaolong Zhang, Xiaoli Lin
A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies. ICIC (2) (2022)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-target interaction prediction via multiple classification strategies. BMC Bioinform. (12) (2022)
Huimin Xiang, Aoxing Li, Xiaoli Lin
An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy. ICIC (2) (2022)
Shuai Xu, Xiaoli Lin, Haiping Yu
Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model. BIBM (2021)
Aoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network. ICIC (3) (2021)
Jinfan Zou, Xiaolong Zhang, Xiaoli Lin
A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism. ICIC (1) (2021)
Yuan Liu, Xiaolong Zhang, Xiaoli Lin
Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions. ICBBB (2021)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder. BIBM (2021)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. ICIC (3) (2021)
Xiaoli Lin, Xiaolong Zhang
Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Aoxing Li, Xiaoli Lin, Haiping Yu
Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network. BIBM (2021)
Hui Zhu, Gongxu Jia, Qingling Zhang, Shan Zhang, Xiaoli Lin, Yanmin Shuai
Detecting Offshore Drilling Rigs with Multitemporal NDWI: A Case Study in the Caspian Sea. Remote. Sens. 13 (8) (2021)
Shuo Zhang, Xiaoli Lin, Xiaolong Zhang
Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network. BIBM (2021)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
Drug-target Interaction Prediction via Multiple Output Deep Learning. BIBM (2020)
Dezhan Qu, Xiaoli Lin, Ke Ren, Quanle Liu, Huijie Zhang
AirExplorer: visual exploration of air quality data based on time-series querying. J. Vis. 23 (6) (2020)
Xiaoli Lin, Xiaolong Zhang, Xin Xu
Efficient Classification of Hot Spots and Hub Protein Interfaces by Recursive Feature Elimination and Gradient Boosting. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Minqi Xu, Xiaolong Zhang, Xiaoli Lin
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix. BIBM (2020)
Xiaoli Lin, Minqi Xu, Haiping Yu
Prediction of Drug-Target Interactions with CNNs and Random Forest. ICIC (2) (2020)
Ke Ren, Yiyao Wu, Huijie Zhang, Jia Fu, Dezhan Qu, Xiaoli Lin
Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis. IEEE Access 8 (2020)
Xiaoli Lin, Fengli Zhou
Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest. ICIC (2) (2019)
Qiqige Wuniri, Wei Huangfu, Yaxi Liu, Xiaoli Lin, Liyuan Liu, Zhigang Yu
A Generic-Driven Wrapper Embedded With Feature-Type-Aware Hybrid Bayesian Classifier for Breast Cancer Classification. IEEE Access 7 (2019)
Xiaolong Zhang, Xiaoli Lin, Jiafu Zhao, Qianqian Huang, Xin Xu
Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Fengli Zhou, Xiaoli Lin
Research on HP Model Optimization Method Based on Reinforcement Learning. ICIC (2) (2019)
Fengli Zhou, Xiaoli Lin
Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario. ICIC (3) (2019)
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination. ICIC (1) (2018)
Xiaoli Lin, Xiaolong Zhang
Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Fengli Zhou, Xiaoli Lin
Frequent Sequence Pattern Mining with Differential Privacy. ICIC (1) (2018)
Huayong Yang, Xiaoli Lin
A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM. ICIC (3) (2018)
Xiaofang Zhang, Xiaoli Lin, Rana Aamir Raza Ashfaq
Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine. J. Comput. 13 (7) (2018)
Nan Mu, Xin Xu, Xiaolong Zhang, Xiaoli Lin
Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images. Pattern Recognit. Lett. 115 (2018)
Fengli Zhou, Xiaoli Lin
New Particle Swarm Optimization Based on Sub-groups Mutation. ICIC (3) (2018)
Jing Hu, Xiaoli Lin, Xiaolong Zhang
Protein Hot Regions Feature Research Based on Evolutionary Conservation. ICIC (2) (2017)
Xiaoli Lin, Qianqian Huang, Fengli Zhou
Effective Identification of Hot Spots in PPIs Based on Ensemble Learning. ICIC (2) (2017)
Xiaoli Lin, Xiaolong Zhang, Jing Hu
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions. ICIC (2) (2017)
Fengli Zhou, Xiaoli Lin
Similarity Comparison of 3D Protein Structure Based on Riemannian Manifold. ICIC (2) (2017)
Yanxia Yang, Xiaoli Lin
Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology. ICIC (2) (2016)
Xiaoli Lin, Xiaolong Zhang
Prediction and analysis of hot region in protein-protein interactions. BIBM (2016)
Xiaoli Lin, Xiaolong Zhang
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure. ICIC (1) (2016)
Xiaoli Lin, Fengli Zhou, Huayong Yang
Effective Protein Structure Prediction with the Improved LAPSO Algorithm in the AB Off-Lattice Model. ICIC (1) (2016)
Xiaoli Lin, Wei Huangfu, Fei Wang, Liyuan Liu, Keping Long
A Breast Cancer Risk Classification Model Based on the Features Selected by Novel F-Score Index for the Imbalanced Multi-Feature Dataset. CyberC (2016)
Xiaoli Lin, Huayong Yang, Jing Ye
Identification of Hot Regions in Protein-Protein Interactions Based on SVM and DBSCAN. ICIC (2) (2015)
Fengli Zhou, Xiaoli Lin
Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation. ICIC (3) (2014)
Xiaoli Lin, Xiaolong Zhang
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model. BIBM (2014)
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
Protein structure prediction with local adjust tabu search algorithm. BMC Bioinform. 15 (S-15) (2014)
Xiaoli Lin, Fengli Zhou
3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm. ICIC (3) (2013)
Li Zheng, Xiaoli Lin, Fei Qiao, Tao Yang
Existences of two solutions of one-dimensional computational verb cellular networks. ICNC (2010)
Xiaoli Lin, Pavol Zavarsky, Ron Ruhl, Dale Lindskog
Threat Modeling for CSRF Attacks. CSE (3) (2009)
Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model. PAKDD Workshops (2007)
Xiaolong Zhang, Xiaoli Lin
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm. Australian Conference on Artificial Intelligence (2006)