Improving the performance of ICA based microarray data prediction models with genetic algorithm. - KunHong Liu 001; De-Shuang Huang; Bo Li 002 (IEEE Congress on Evolutionary Computation, 2007)

A New Orthogonal Discriminant Projection Based Prediction Method for Bioinformatic Data. - Chao Wang 071; Bo Li 002 (ICIC (2), 2008)

Tumor Classification Using Non-negative Matrix Factorization. - Ping Zhang; Chun-Hou Zheng 001; Bo Li 002; Chang-Gang Wen (ICIC (3), 2008)

Locally Linear Discriminant Embedding for Tumor Classification. - Chun-Hou Zheng 001; Bo Li 002; Lei Zhang 006; Hong-Qiang Wang (ICIC (2), 2008)

Constrained Maximum Variance Mapping. - Bo Li 002; De-Shuang Huang; KunHong Liu 001 (IJCNN, 2008)

Improving the robustness of ISOMAP by de-noising. - Bo Li 002; De-Shuang Huang; Chao Wang 071 (IJCNN, 2008)

Gene Expression Data Classification Using Independent Variable Group Analysis. - Chun-Hou Zheng 001; Lei Zhang 006; Bo Li 002; Min Xu (ISNN (2), 2008)

Feature extraction using constrained maximum variance mapping. - Bo Li 002; De-Shuang Huang; Chao Wang 071; KunHong Liu 001 (Pattern Recognit., 2008)

Locally linear discriminant embedding: An efficient method for face recognition. - Bo Li 002; Chun-Hou Zheng 001; De-Shuang Huang (Pattern Recognit., 2008)

A Novel Local Sensitive Frontier Analysis for Feature Extraction. - Chao Wang 071; De-Shuang Huang; Bo Li 002 (ICIC (2), 2009)

Constrained Maximum Variance Mapping for Tumor Classification. - Chun-Hou Zheng 001; Feng-Ling Wu; Bo Li 002; Juan Wang 003 (ICIC (1), 2009)

A New Approach to Improving ICA-Based Models for the Classification of Microarray Data. - Kun-Hong Liu 001; Bo Li 002; Jun Zhang 011; Ji-Xiang Du (ISNN (3), 2009)

A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets. - Kun-Hong Liu 001; Jun Zhang 011; Bo Li 002; Ji-Xiang Du (ISNN (2), 2009)

Microarray data classification based on ensemble independent component selection. - Kun-Hong Liu 001; Bo Li 002; Qingqiang Wu 001; Jun Zhang 011; Ji-Xiang Du; Guo-Yan Liu (Comput. Biol. Medicine, 2009)

Supervised feature extraction based on orthogonal discriminant projection. - Bo Li 002; Chao Wang 071; De-Shuang Huang (Neurocomputing, 2009)

Ensemble component selection for improving ICA based microarray data prediction models. - Kun-Hong Liu 001; Bo Li 002; Jun Zhang 011; Ji-Xiang Du (Pattern Recognit., 2009)

Discovery of Protein's Multifunction and Diversity of Information Transmission. - Bo Li 002; Jin Liu 016; Shuxiong Wang; Wensheng Zhang 002; Shu-Lin Wang (ICIC (1), 2010)

Gene expression data classification using locally linear discriminant embedding. - Bo Li 002; Chun-Hou Zheng 001; De-Shuang Huang; Lei Zhang 006; Kyungsook Han (Comput. Biol. Medicine, 2010)

The Connections between Principal Component Analysis and Dimensionality Reduction Methods of Manifolds. - Bo Li 002; Jin Liu 016 (ICIC (2), 2011)

Maximum Variance Sparse Mapping. - Bo Li 002; Jin Liu 016; Wenyong Dong (ISNN (2), 2011)

Discriminant Graph Based Linear Embedding. - Bo Li 002; Jin Liu 016; Wenyong Dong; Wensheng Zhang 002 (ICIC (1), 2012)

Mass Diagnosis in Mammography with Mutual Information Based Feature Selection and Support Vector Machine. - Xiaoming Liu 004; Bo Li 002; Jun Liu 011; Xin Xu 007; Zhilin Feng (ICIC (2), 2012)

Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint. - Jun Li 067; Hongbo Xu; Hongxing Xia; Fan Liu; Bo Li 002 (IEICE Trans. Commun., 2012)

Feature extraction using maximum variance sparse mapping. - Jin Liu 016; Bo Li 002; Wensheng Zhang 002 (Neural Comput. Appl., 2012)

Protein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation. - Juhong Qi; Xiaolong Zhang 002; Bo Li 002 (ADMA (2), 2013)

Tumor Gene Expressive Data Classification Based on Locally Linear Representation Fisher Criterion. - Bo Li 002; Bei-Bei Tian; Jin Liu 016 (ICIC (2), 2013)

Locally linear representation Fisher criterion. - Bo Li 002; Jin Liu 016; Zhong-Qiu Zhao; Wensheng Zhang 002 (IJCNN, 2013)

Clustering-Based Extraction of Near Border Data Samples for Remote Sensing Image Classification. - Xiaoyong Bian; Tianxu Zhang; Xiaolong Zhang 002; Luxin Yan; Bo Li 002 (Cogn. Comput., 2013)

Active Learning Methods for Classification of Hyperspectral Remote Sensing Image. - Sheng Ding; Bo Li 002; Xiaowei Fu (ICIC (2), 2014)

Parameters Selection for Support Vector Machine Based on Particle Swarm Optimization. - Jun Li 067; Bo Li 002 (ICIC (1), 2014)

Nonparametric Discriminant Multi-manifold Learning. - Bo Li 002; Jun Li 067; Xiao-Ping (Steven) Zhang (ICIC (1), 2014)

Locally linear representation Fisher criterion based tumor gene expressive data classification. - Bo Li 002; Bei-Bei Tian; Xiaolong Zhang 002; Xiao-Ping (Steven) Zhang (Comput. Biol. Medicine, 2014)

A Novel Naive Bayes Classifier Model Based on Differential Evolution. - Jun Li 067; Guokang Fang; Bo Li 002; Chong Wang (ICIC (1), 2015)

Locally Linear Representation Manifolds Margin. - Bo Li 002; Yun-Qing Wang; Lei Lei; Zhang-Tao Fan (ICIC (1), 2015)

Nonparametric discriminant multi-manifold learning for dimensionality reduction. - Bo Li 002; Jun Li 067; Xiao-Ping (Steven) Zhang (Neurocomputing, 2015)

A Hybrid Tumor Gene Selection Method with Laplacian Score and Correlation Analysis. - Bo Li 002; Xiao-Hui Lei; Yang Hu; Xiaolong Zhang 002 (ICIC (1), 2016)

Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers. - Lin Xia; Xiaolong Zhang 002; Bo Li 002 (ICIC (3), 2016)

Feature space distance metric learning for discriminant graph embedding. - Bo Li 002; Zhang-Tao Fan; Xiaolong Zhang 002 (IJCNN, 2016)

Covariance descriptor based convolution neural network for saliency computation in low contrast images. - Xin Xu 007; Nan Mu; Xiaolong Zhang 002; Bo Li 002 (IJCNN, 2016)

Differential evolution-based parameters optimisation and feature selection for support vector machine. - Jun Li 067; Lixin Ding; Bo Li 002 (Int. J. Comput. Sci. Eng., 2016)

Feature extraction using maximum nonparametric margin projection. - Bo Li 002; Jing Du; Xiao-Ping (Steven) Zhang (Neurocomputing, 2016)

Constrained discriminant neighborhood embedding for high dimensional data feature extraction. - Bo Li 002; Lei Lei; Xiao-Ping (Steven) Zhang (Neurocomputing, 2016)

Face Recognition via Domain Adaptation and Manifold Distance Metric Learning. - Bo Li 002; Ping-Ping Zheng; Jin Liu 016; Xiaolong Zhang 002 (ICIC (2), 2017)

An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image. - Juan Xiong; Sheng Ding; Bo Li 002 (ICSI (2), 2017)

A Pseudo-dynamic Search Ant Colony Optimization Algorithm with Improved Negative Feedback Mechanism to Solve TSP. - Jun Li 067; Yuan Xia; Bo Li 002; Zhigao Zeng (ICIC (3), 2018)

Single Image Dehazing Based on Improved Dark Channel Prior and Unsharp Masking Algorithm. - Liting Peng; Bo Li 002 (ICIC (1), 2018)

A Robust Locally Linear Embedding Method Based on Feature Space Projection. - Feng-Ming Zou; Bo Li 002; Zhang-Tao Fan (ICIC (3), 2018)

Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning. - Xiaoming Liu 004; Tianyu Fu 002; Zhifang Pan; Dong Liu 024; Wei Hu 001; Bo Li 002 (ICIP, 2018)

A global manifold margin learning method for data feature extraction and classification. - Bo Li 002; Wei Guo; Xiaolong Zhang 002 (Eng. Appl. Artif. Intell., 2018)

Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images. - Xiaoming Liu 004; Dong Liu 024; Bo Li 002; Shaocheng Wang (ICIC (1), 2019)

Segmentation of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning. - Wenli Tu; Xiaoming Liu 004; Wei Hu 001; Zhifang Pan; Xin Xu 007; Bo Li 002 (ICIP, 2019)

Local Uncorrelated Subspace Learning. - Bo Li 002; Xin-Hao Wang; Yong-Kang Peng; Li Chen 011; Sheng Ding (PRICAI (2), 2019)

Semisupervised Cross-Media Retrieval by Distance-Preserving Correlation Learning and Multi-modal Manifold Regularization. - Ting Wang; Hong Zhang 022; Bo Li 002; Xin Xu 007 (PRICAI (1), 2019)

A survey on Laplacian eigenmaps based manifold learning methods. - Bo Li 002; Yan-Rui Li; Xiaolong Zhang 002 (Neurocomputing, 2019)

Robust dimensionality reduction via feature space to feature space distance metric learning. - Bo Li 002; Zhang-Tao Fan; Xiao-Long Zhang; De-Shuang Huang (Neural Networks, 2019)

Image Block Compression Based on Dual-Learning Dictionaries. - Wenchao Pan; Bo Li 002; Yanwen Chong (ICACI, 2020)

A pseudo-dynamic search ant colony optimization algorithm with improved negative feedback mechanism. - Jun Li 067; Yuan Xia; Bo Li 002; Zhigao Zeng (Cogn. Syst. Res., 2020)

A survey of CAPTCHA technologies to distinguish between human and computer. - Xin Xu 007; Lei Liu; Bo Li 002 (Neurocomputing, 2020)

Uncertainty-Guided Pixel-Level Contrastive Learning for Biomarker Segmentation in OCT Images. - Yingjie Bai; Xiaoming Liu 004; Bo Li 002; Kejie Zhou (ICIC (2), 2021)

Classification of Benign-Malignant Pulmonary Nodules Based on Multi-view Improved Dense Network. - Li-Hua Shen; Xin-Hao Wang; Min-Xiang Gao; Bo Li 002 (ICIC (1), 2021)

Improve hot region prediction by analyzing different machine learning algorithms. - Jing Hu 003; Longwei Zhou; Bo Li 002; Xiaolong Zhang 002; Nansheng Chen (BMC Bioinform., 2021)

Deep discriminative image feature learning for cross-modal semantics understanding. - Hong Zhang 022; Fangming Liu; Bo Li 002; Ling Zhang; Yihai Zhu; Ziwei Wang (Knowl. Based Syst., 2021)

K-Nearest Neighbor Based Local Distribution Alignment. - Yang Tian; Bo Li 002 (ICIC (2), 2022)

Two-sided Online Stable Task Assignment with Incomplete Lists and Ties in Spatial Crowdsourcing. - Weiyi Huang; Peng Li 046; Bo Li 002; Jing Liu 032; Lei Nie; Haizhou Bao (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A survey on firefly algorithms. - Jun Li 067; Xiaoyu Wei; Bo Li 002; Zhigao Zeng (Neurocomputing, 2022)

DMP: Content Delivery With Dynamic Movement Pattern in Vehicular Networks. - Weiyi Huang; Peng Li 046; Bo Li 002; Tao Zhang 043 (IEEE Trans. Big Data, 2022)

Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. - Bo Li 002; Yihui Tian; Yang Tian; Shihua Zhang; Xiaolong Zhang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Towards stable task assignment with preference lists and ties in spatial crowdsourcing. - Weiyi Huang; Peng Li 046; Bo Li 002; Lei Nie; Haizhou Bao (Inf. Sci., 2023)

Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning. - Bo Li 002; Chen Peng; Zeran You; Xiaolong Zhang 002; Shihua Zhang (Briefings Bioinform., 2023)

Three-sided online stable task assignment in spatial crowdsourcing. - Weiyi Huang; Peng Li 046; Bo Li 002; Qin Liu 003; Lei Nie; Haizhou Bao (Inf. Sci., 2024)

P2S distance induced locally conjugated orthogonal subspace learning for feature extraction. - Bo Li 002; Zhao-Jie Yang; Anjie Guo (Expert Syst. Appl., 2024)

scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering. - Bo Li 002; Yongkang Zhao; Jing Hu 003; Shihua Zhang; Xiaolong Zhang 002 (Briefings Bioinform., 2025)

Multiscale Fusion for Spatially Decoupled Multimodal MRI Super-Resolution Reconstruction. - Qi-Hao Xu; Bo Li 002 (IEEE Trans. Instrum. Meas., 2025)