Xiaolong Zhang

Orcid: 0000-0001-5615-2044

Affiliations:
  • Wuhan University of Science and Technology, School of Computer Science and Technology, Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China
  • Tokyo Institute of Technology, Department of Computer Science, Japan (former)


According to our database1, Xiaolong Zhang authored at least 119 papers between 1996 and 2024.

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

Timeline

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Online presence:

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Bibliography

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

Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023
Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning.
Briefings Bioinform., September, 2023

Exploiting Residual and Illumination with GANs for Shadow Detection and Shadow Removal.
ACM Trans. Multim. Comput. Commun. Appl., 2023

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

Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

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

De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model.
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

Document Image Shadow Removal Guided by Color-Aware Background.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Efficient virtual data search for annotation-free vehicle reidentification.
Int. J. Intell. Syst., 2022

Cover: International Journal of Intelligent Systems, Volume 37 Issue 5 May 2022.
Int. J. Intell. Syst., 2022

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

Drug-Target Affinity Prediction Based on Multi-channel Graph Convolution.
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

Optimization of Bit Matrix Index for Temporal RDF.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

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

2021
Exploring Image Enhancement for Salient Object Detection in Low Light Images.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Efficient and Exact Multigraph Matching Search.
IEEE Trans. Ind. Informatics, 2021

Rethinking data collection for person re-identification: active redundancy reduction.
Pattern Recognit., 2021

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

Improve hot region prediction by analyzing different machine learning algorithms.
BMC Bioinform., 2021

Semantic segmentation method of 3D liver image based on contextual attention model.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 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

Dual-Channel Recalibration and Feature Fusion Method for Liver Image Classification.
Proceedings of the Intelligent Computing Theories and Application, 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 hot spots in protein-protein interaction by Nine-Pipeline & Ensemble Learning strategy.
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

Identification of protein hot regions by combining structure-based classification, energy-based clustering and sequence-based conservation in evolution.
Int. J. Data Min. Bioinform., 2020

CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal.
Comput. Graph. Forum, 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

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Effective shadow removal via multi-scale image decomposition.
Vis. Comput., 2019

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

Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm.
Pattern Recognit. Lett., 2019

A spatial-frequency-temporal domain based saliency model for low contrast video sequences.
J. Vis. Commun. Image Represent., 2019

A survey on Laplacian eigenmaps based manifold learning methods.
Neurocomputing, 2019

Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN.
Proceedings of the Intelligent Computing Theories and Application, 2019

Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Identification of protein hot regions by integrated machine learning algorithm.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 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

A global manifold margin learning method for data feature extraction and classification.
Eng. Appl. Artif. Intell., 2018

Ant Colony Optimization Based Salient Object Detection for Weak Light Images.
Proceedings of the 2018 IEEE SmartWorld, 2018

Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Breast Cancer Medical Image Analysis Based on Transfer Learning Model.
Proceedings of the Intelligent Computing Theories and Application, 2018

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

Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree.
Proceedings of the Intelligent Computing Theories and Application, 2018

Analysis of hot regions prediction in PPI with different amino acid mutation using machine learning algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A noisy sparse convolution neural network based on stacked auto-encoders.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

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

Face Recognition via Domain Adaptation and Manifold Distance Metric 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
Hierarchical salient object detection model using contrast-based saliency and color spatial distribution.
Multim. Tools Appl., 2016

Blind image noise level estimation using texture-based eigenvalue analysis.
Multim. Tools Appl., 2016

Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor.
Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Covariance descriptor based convolution neural network for saliency computation in low contrast images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Feature space distance metric learning for discriminant graph embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 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 Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2016

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

An improved ensemble learning method with SMOTE for protein interaction hot spots prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification.
Comput. Biol. Medicine, 2015

Identification of Hot Regions in Protein Interfaces: Combining Density Clustering and Neighbor Residues Improves the Accuracy.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Testing whether hot regions in protein-protein interactions are conserved in different species.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Prediction of hot regions in protein-protein interaction by density-based incremental clustering with parameter selection.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A comparison of contrast measurements in passive autofocus systems for low contrast images.
Multim. Tools Appl., 2014

Adaptive classification of hyperspectral images using local consistency.
J. Electronic Imaging, 2014

Robust passive autofocus system for mobile phone camera applications.
Comput. Electr. Eng., 2014

Blind noisy image quality assessment using block homogeneity.
Comput. Electr. Eng., 2014

Locally linear representation Fisher criterion based tumor gene expressive data classification.
Comput. Biol. Medicine, 2014

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

Mobile user stability prediction with Random Forest model.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 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

Efficient Deep Learning Algorithm with Accelerating Inference Strategy.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation.
Sensors, 2013

Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification.
Cogn. Comput., 2013

Homogeneity Based Blind Noisy Image Quality Assessment.
Proceedings of the IEEE International Conference on Systems, 2013

An incremental grid clustering algorithm based on density-dimension-tree.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Prediction of hot regions in protein-protein interactions based on complex network and community detection.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Imbalanced data classification algorithm based on boosting and cascade model.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure.
Sensors, 2011

Suspicious user tracking based on web data analysis.
Proceedings of the IEEE International Conference on Systems, 2011

Retinal image registration using bifurcation structures.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Adaptive Variance Based Sharpness Computation for Low Contrast Images.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011

Emulation of Dynamic Secondary Cooling and Soft Reduction in Continuous Slab Casting.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

2010
3D Protein structure prediction with genetic tabu search algorithm.
BMC Syst. Biol., 2010

Web user behavior monitoring for campus networks.
Proceedings of the IEEE International Conference on Systems, 2010

Human behavior understanding for video surveillance: Recent advance.
Proceedings of the IEEE International Conference on Systems, 2010

2009
A multiscale image enhancement method for calcification detection in screening mammograms.
Proceedings of the International Conference on Image Processing, 2009

Resource Schedule and Allocation of Production Line with Real-Time Data Streams.
Proceedings of the First International Workshop on Database Technology and Applications, 2009

2008
An Improved Tabu Search Algorithm for 3D Protein Folding Problem.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

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

Investigating Novel Immune-Inspired Multi-agent Systems for Anomaly Detection.
Proceedings of The 2nd IEEE Asia-Pacific Services Computing Conference, 2007

2006
Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis.
Proceedings of the Advances in Knowledge Acquisition and Management, 2006

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

2005
Effective Classifier Pruning with Rule Information.
Proceedings of the Discovery Science, 8th International Conference, 2005

2003
Integrated Mining for Cancer Incidence Factors from Healthcare Data.
Proceedings of the Active Mining, Second International Workshop, 2003

2002
Toward Effective Knowledge Acquisition with First-Order Logic Induction.
J. Comput. Sci. Technol., 2002

1999
Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires.
Proceedings of the Discovery Science, 1999

1998
An efficient multiple predicate learner.
J. Comput. Sci. Technol., 1998

Toward Effective Knowledge Acquisition with First Order Logic Induction.
Proceedings of the Discovery Science, 1998

1997
Learning and Revising Theories in Noisy Domains.
Proceedings of the Algorithmic Learning Theory, 8th International Conference, 1997

1996
Efficient Multiple Predicate Learner Based on Fast Failure Mechanism.
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996


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