Bo Li
Orcid: 0000-0003-1009-7195Affiliations:
- Wuhan University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China
- Ryerson University, Department of Electrical and Computer Engineering, Toronto, ON, Canada
- Chinese Academy of Sciences, Institute of Automation, State Key Lab of Complex Systems and Intelligence Science, Beijing, China
- Chinese Academy of Sciences, Institute of Intelligent Machines, Intelligent Computing Laboratory, Hefei, China
- University of Science and Technology of China, Department of Automation, Hefei, China (PhD 2008)
According to our database1,
Bo Li
authored at least 69 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
P2S distance induced locally conjugated orthogonal subspace learning for feature extraction.
Expert Syst. Appl., March, 2024
Inf. Sci., January, 2024
2023
Towards stable task assignment with preference lists and ties in spatial crowdsourcing.
Inf. Sci., 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
IEEE Trans. Big Data, 2022
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
Knowl. Based Syst., 2021
BMC Bioinform., 2021
Classification of Benign-Malignant Pulmonary Nodules Based on Multi-view Improved Dense Network.
Proceedings of the Intelligent Computing Theories and Application, 2021
Uncertainty-Guided Pixel-Level Contrastive Learning for Biomarker Segmentation in OCT Images.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Neurocomputing, 2020
A pseudo-dynamic search ant colony optimization algorithm with improved negative feedback mechanism.
Cogn. Syst. Res., 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
Robust dimensionality reduction via feature space to feature space distance metric learning.
Neural Networks, 2019
Neurocomputing, 2019
Semisupervised Cross-Media Retrieval by Distance-Preserving Correlation Learning and Multi-modal Manifold Regularization.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Segmentation of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
A global manifold margin learning method for data feature extraction and classification.
Eng. Appl. Artif. Intell., 2018
Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Single Image Dehazing Based on Improved Dark Channel Prior and Unsharp Masking Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Pseudo-dynamic Search Ant Colony Optimization Algorithm with Improved Negative Feedback Mechanism to Solve TSP.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
Constrained discriminant neighborhood embedding for high dimensional data feature extraction.
Neurocomputing, 2016
Neurocomputing, 2016
Differential evolution-based parameters optimisation and feature selection for support vector machine.
Int. J. Comput. Sci. Eng., 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
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
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Neurocomputing, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
2014
Locally linear representation Fisher criterion based tumor gene expressive data classification.
Comput. Biol. Medicine, 2014
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Parameters Selection for Support Vector Machine Based on Particle Swarm Optimization.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification.
Cogn. Comput., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Tumor Gene Expressive Data Classification Based on Locally Linear Representation Fisher Criterion.
Proceedings of the Intelligent Computing Theories and Technology, 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
IEICE Trans. Commun., 2012
Mass Diagnosis in Mammography with Mutual Information Based Feature Selection and Support Vector Machine.
Proceedings of the Intelligent Computing Theories and Applications, 2012
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
The Connections between Principal Component Analysis and Dimensionality Reduction Methods of Manifolds.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
2010
Comput. Biol. Medicine, 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
2009
Ensemble component selection for improving ICA based microarray data prediction models.
Pattern Recognit., 2009
Neurocomputing, 2009
Comput. Biol. Medicine, 2009
A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets.
Proceedings of the Advances in Neural Networks, 2009
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
2008
Pattern Recognit., 2008
Pattern Recognit., 2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008
A New Orthogonal Discriminant Projection Based Prediction Method for Bioinformatic Data.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
2007
Improving the performance of ICA based microarray data prediction models with genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007