Xiaoli Lin

83 papers A* 1B 1Misc 1Journal 19Unranked 61
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Real-Time Hacker Group Identification Method for Industrial Control Systems Based on Gaussian Self-Organizing Incremental Neural Network.
IEEE Internet Things J.
Xiaoli Lin, Yu Yao, Yushan Fang, Boxue Song, Wei Yang
2025 — conf
A 3D Liver and Tumor Segmentation Method Based on U-Mamba and Efficient Paired Attention.
ICIC (27)
Shili Yang, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren
2025 B conf
A Generative Strategy for Target-Oriented Molecular Design: Integrating Docking Scores with Drug-Likeness Constraints.
SMC
Zhicheng Yang, Xiaolong Zhang, Xiaoli Lin
2025 — conf
A Hybrid Architecture for 3D Abdominal Medical Images Based on Mamba.
ICIC (25)
Baitao Li, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren, Li Zhang
2025 J jnl
A Real-Time Anomaly Detection Method for Industrial Control Systems Based on Long-Short Period Deterministic Finite Automaton.
IEEE Internet Things J.
Xiaoli Lin, Yu Yao, Bo Hu, Wei Yang, Xiaoming Zhou, Guangao Li, Wenjie Zhang
2025 J jnl
An Efficient Targeted Drug Design Method Using Framework of Multiscale Encoder-Decoder.
IEEE Trans. Comput. Biol. Bioinform.
Haoran Liu, Xiaoli Lin, Jing Hu, Mengyao Wang, Jun Pang, Xiaolong Zhang
2025 — conf
BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction Prediction.
ICIC (26)
Hengpeng Zhao, Shuoyu Cui, Xiaoli Lin, Ping Liang
2025 — conf
Combining Improved Relational Embedding and Multi-Hop Sampling for Temporal Knowledge Graph Reasoning.
ICIC (8)
Jun Pang, Yuheng Guo, Xiaoli Lin, Mengxiang Wang
2025 — conf
Drug-Drug Interaction Prediction Based on Multi-Scale Feature Fusion.
BIBM
Yunhao Du, Xiaoli Lin
2025 — conf
DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-objective Optimization.
ICIC (25)
Zihang Xie, Xiaolong Zhang, Xiaoli Lin, Jing Hu
2025 J jnl
InSyfer: Industrial Control Protocols Syntax Inference via Graph Representation Learning.
IEEE Trans. Dependable Secur. Comput.
Daoqing Yang, Yu Yao, Yao Shan, Yunfeng Wu, Xiaoli Lin, Wei Yang, Licheng Yang
2025 — conf
MMF2Drug: A Multi-modal Feature Fusion Method for Improving Targeted Drug Design.
ICIC (26)
Xiongwei Liao, Xiaoli Lin, Ping Liang
2025 A* conf
PAMol: Pocket-Aware Drug Design Method with Hypergraph Representation of Protein Pocket Structure and Feature Fusion.
IJCAI
Xiaoli Lin, Xiongwei Liao, Jun Pang, Bo Li, Xiaolong Zhang
2024 — conf
A 3D Liver Semantic Segmentation Method Based on U-shaped Feature Fusion Enhancement.
ICIC (2)
Daoran Jiang, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren
2024 — conf
A Multi Target Drug Design Method Based on Target Protein Sequence and Feature Similarity.
BIBM
Haoran Liu, Xiaoli Lin, Jing Hu, Xiaolong Zhang
2024 J jnl
A feature selection based on genetic algorithm for intrusion detection of industrial control systems.
Comput. Secur.
Yushan Fang, Yu Yao, Xiaoli Lin, Jiaxuan Wang, Hao Zhai
2024 — conf
An Optimization Method for Drug Design Based on Molecular Features.
ICIC (LNBI 1)
Xuan Liu, Xiaoli Lin, Fengli Zhou
2024 — conf
Detecting DTI Using Graph Embedding and Multi-Head Attention Mechanism.
BIBM
Xiaoli Lin, Yaoyu Chen, Wenli Yang, Haiping Yu, Zimo Wu, Xiaolong Zhang
2024 — conf
Drug Molecule Generation Method Based on Fusion of Protein Sequence Features.
ICIC (LNBI 2)
Mengyao Wang, Xiaolong Zhang, Haoran Liu, Xiaoli Lin, Jing Hu, Jun Pang
2024 — conf
Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism.
ICIC (LNBI 2)
Weiwenzheng Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
2024 J jnl
KGRLFF: Detecting Drug-Drug Interactions Based on Knowledge Graph Representation Learning and Feature Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoli Lin, Zhuang Yin, Xiaolong Zhang, Jing Hu
2024 — conf
Knowledge Completion Method Based on Relational Embedding with GNN.
ICIC (13)
Yu Chen, Zhuang Yin, Honghong Tan, Xiaoli Lin
2024 — conf
LKC-NET: A Liver and Tumor Segmentation Method based on Large Kernel Parallel Dilated Convolution.
BIBM
Baitao Li, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren
2024 — conf
ResPocket: A Multi-Scale Feature Fusion Method for Improving Protein Binding Site Detection.
BIBM
Xiaoli Lin, Wenli Yang, Yaoyu Chen, Xiongwei Liao, Zimo Wu, Xiaolong Zhang
2023 — conf
An Efficient Drug Design Method Based on Drug-Target Affinity.
ICIC (3)
Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu
2023 — conf
Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs.
BIBM
Xiaoli Lin, Xuan Liu, Xiaolong Zhang
2023 — conf
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention.
ICIC (3)
Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu
2023 — conf
Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism.
ADMA (3)
Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu
2023 J jnl
Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qing Ye, Xiaolong Zhang, Xiaoli Lin
2023 — conf
Generating Molecules Conditional on 3D Protein Pockets with HGAF.
BIBM
Qinglian Zhu, Xiaoli Lin, Xiaolong Zhang
2022 — conf
A Targeted Drug Design Method Based on GRU and TopP Sampling Strategies.
ICIC (2)
Jinglu Tao, Xiaolong Zhang, Xiaoli Lin
2022 — conf
An Optimization Method for Drug-Target Interaction Prediction Based on RandSAS Strategy.
ICIC (2)
Huimin Xiang, Aoxing Li, Xiaoli Lin
2022 — conf
Drug-Target Binding Affinity Prediction Based on Graph Neural Networks and Word2vec.
ICIC (2)
Minghao Xia, Jing Hu, Xiaolong Zhang, Xiaoli Lin
2022 J jnl
Drug-target interaction prediction via multiple classification strategies.
BMC Bioinform.
Qing Ye, Xiaolong Zhang, Xiaoli Lin
2022 — conf
KGAT: Predicting Drug-Target Interaction Based on Knowledge Graph Attention Network.
ICIC (2)
Zhenghao Wu, Xiaolong Zhang, Xiaoli Lin
2022 — conf
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation.
BIBM
Zhuang Yin, Xiaoli Lin, Xiaolong Zhang
2022 — conf
Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity.
ICIC (2)
Xinyuan Zhang, Xiaoli Lin, Jing Hu, Wenquan Ding
2021 — conf
A Diabetic Retinopathy Classification Method Based on Novel Attention Mechanism.
ICIC (1)
Jinfan Zou, Xiaolong Zhang, Xiaoli Lin
2021 — conf
De Novo Drug Design via Multi-Label Learning and Adversarial Autoencoder.
BIBM
Qing Ye, Xiaolong Zhang, Xiaoli Lin
2021 J jnl
Detecting Offshore Drilling Rigs with Multitemporal NDWI: A Case Study in the Caspian Sea.
Remote. Sens.
Hui Zhu, Gongxu Jia, Qingling Zhang, Shan Zhang, Xiaoli Lin, Yanmin Shuai
2021 — conf
Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network.
BIBM
Shuo Zhang, Xiaoli Lin, Xiaolong Zhang
2021 — conf
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks.
ICIC (3)
Qing Ye, Xiaolong Zhang, Xiaoli Lin
2021 — conf
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network.
ICIC (3)
Aoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu
2021 J jnl
Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization.
BMC Medical Informatics Decis. Mak.
Xiaoli Lin, Xiaolong Zhang
2021 — conf
Incorporating FPConv-DTI Deep Learning Network and Borderline-SMOTE Algorithm for Predicting Drug-Target Interactions.
ICBBB
Yuan Liu, Xiaolong Zhang, Xiaoli Lin
2021 — conf
Inferring DTIs Based on Similarity Clustering and CaGCN-DTI Model from Heterogeneous Network.
BIBM
Aoxing Li, Xiaoli Lin, Haiping Yu
2021 — conf
Prediction of Drug-Target Interactions Using Molecular Graph and GDNet-DTI Model.
BIBM
Shuai Xu, Xiaoli Lin, Haiping Yu
2020 J jnl
AirExplorer: visual exploration of air quality data based on time-series querying.
J. Vis.
Dezhan Qu, Xiaoli Lin, Ke Ren, Quanle Liu, Huijie Zhang
2020 — conf
Drug-target Interaction Prediction via Multiple Output Deep Learning.
BIBM
Qing Ye, Xiaolong Zhang, Xiaoli Lin
2020 J jnl
Efficient Classification of Hot Spots and Hub Protein Interfaces by Recursive Feature Elimination and Gradient Boosting.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoli Lin, Xiaolong Zhang, Xin Xu
2020 — conf
Inferring Drug-Target Interactions Using Graph Isomorphic Network and Word Vector Matrix.
BIBM
Minqi Xu, Xiaolong Zhang, Xiaoli Lin
2020 — conf
Prediction of Drug-Target Interactions with CNNs and Random Forest.
ICIC (2)
Xiaoli Lin, Minqi Xu, Haiping Yu
2020 J jnl
Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis.
IEEE Access
Ke Ren, Yiyao Wu, Huijie Zhang, Jia Fu, Dezhan Qu, Xiaoli Lin
2019 J jnl
A Generic-Driven Wrapper Embedded With Feature-Type-Aware Hybrid Bayesian Classifier for Breast Cancer Classification.
IEEE Access
Qiqige Wuniri, Wei Huangfu, Yaxi Liu, Xiaoli Lin, Liyuan Liu, Zhigang Yu
2019 — conf
Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest.
ICIC (2)
Xiaoli Lin, Fengli Zhou
2019 J jnl
Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaolong Zhang, Xiaoli Lin, Jiafu Zhao, Qianqian Huang, Xin Xu
2019 — conf
Research on HP Model Optimization Method Based on Reinforcement Learning.
ICIC (2)
Fengli Zhou, Xiaoli Lin
2019 — conf
Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario.
ICIC (3)
Fengli Zhou, Xiaoli Lin
2018 — conf
A Novel Image Denoising Algorithm Based on Non-subsampled Contourlet Transform and Modified NLM.
ICIC (3)
Huayong Yang, Xiaoli Lin
2018 J jnl
Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images.
Pattern Recognit. Lett.
Nan Mu, Xin Xu, Xiaolong Zhang, Xiaoli Lin
2018 — conf
Frequent Sequence Pattern Mining with Differential Privacy.
ICIC (1)
Fengli Zhou, Xiaoli Lin
2018 — conf
Identification of Hotspots in Protein-Protein Interactions Based on Recursive Feature Elimination.
ICIC (1)
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
2018 J jnl
Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine.
J. Comput.
Xiaofang Zhang, Xiaoli Lin, Rana Aamir Raza Ashfaq
2018 — conf
New Particle Swarm Optimization Based on Sub-groups Mutation.
ICIC (3)
Fengli Zhou, Xiaoli Lin
2018 J jnl
Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoli Lin, Xiaolong Zhang
2017 — conf
Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions.
ICIC (2)
Xiaoli Lin, Xiaolong Zhang, Jing Hu
2017 — conf
Effective Identification of Hot Spots in PPIs Based on Ensemble Learning.
ICIC (2)
Xiaoli Lin, Qianqian Huang, Fengli Zhou
2017 — conf
Protein Hot Regions Feature Research Based on Evolutionary Conservation.
ICIC (2)
Jing Hu, Xiaoli Lin, Xiaolong Zhang
2017 — conf
Similarity Comparison of 3D Protein Structure Based on Riemannian Manifold.
ICIC (2)
Fengli Zhou, Xiaoli Lin
2016 — conf
A Breast Cancer Risk Classification Model Based on the Features Selected by Novel F-Score Index for the Imbalanced Multi-Feature Dataset.
CyberC
Xiaoli Lin, Wei Huangfu, Fei Wang, Liyuan Liu, Keping Long
2016 — conf
Effective Protein Structure Prediction with the Improved LAPSO Algorithm in the AB Off-Lattice Model.
ICIC (1)
Xiaoli Lin, Fengli Zhou, Huayong Yang
2016 — conf
Identification of Hot Regions in Protein-Protein Interactions Based on Detecting Local Community Structure.
ICIC (1)
Xiaoli Lin, Xiaolong Zhang
2016 — conf
Prediction and analysis of hot region in protein-protein interactions.
BIBM
Xiaoli Lin, Xiaolong Zhang
2016 — conf
Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology.
ICIC (2)
Yanxia Yang, Xiaoli Lin
2015 — conf
Identification of Hot Regions in Protein-Protein Interactions Based on SVM and DBSCAN.
ICIC (2)
Xiaoli Lin, Huayong Yang, Jing Ye
2014 — conf
Protein folding structure optimization based on GAPSO algorithm in the off-lattice model.
BIBM
Xiaoli Lin, Xiaolong Zhang
2014 J jnl
Protein structure prediction with local adjust tabu search algorithm.
BMC Bioinform.
Xiaoli Lin, Xiaolong Zhang, Fengli Zhou
2014 — conf
Research of Training Feedforward Neural Networks Based on Hybrid Chaos Particle Swarm Optimization-Back-Propagation.
ICIC (3)
Fengli Zhou, Xiaoli Lin
2013 — conf
3D Protein Structure Prediction with Local Adjust Tabu Search Algorithm.
ICIC (3)
Xiaoli Lin, Fengli Zhou
2010 Misc conf
Existences of two solutions of one-dimensional computational verb cellular networks.
ICNC
Li Zheng, Xiaoli Lin, Fei Qiao, Tao Yang
2009 — conf
Threat Modeling for CSRF Attacks.
CSE (3)
Xiaoli Lin, Pavol Zavarsky, Ron Ruhl, Dale Lindskog
2007 — conf
Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model.
PAKDD Workshops
Xiaolong Zhang, Xiaoli Lin, Chengpeng Wan, Tingting Li
2006 — conf
Protein Folding Prediction Using an Improved Genetic-Annealing Algorithm.
Australian Conference on Artificial Intelligence
Xiaolong Zhang, Xiaoli Lin