Discriminant Feature Fusion Strategy for Supervised Learning. - Jun-Bao Li; Shu-Chuan Chu; Jung-Chou Harry Chang; Jeng-Shyang Pan 001 (IIH-MSP, 2006)

A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001; Jiun-Huei Ho (IIH-MSP, 2006)

Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition. - Jun-Bao Li; Jeng-Shyang Pan 001; Zhe-Ming Lu 001; Jung-Chou Harry Chang (ISCAS, 2006)

An Efficient Reformative Kernel Discriminant Analysis for Face Recognition. - Jun-Bao Li; Jeng-Shyang Pan 001; Zhe-Ming Lu 001 (ROBIO, 2006)

Adaptive Kernel Discriminant Analysis and its Applications on Pattern Recognition. - Jun-Bao Li; Jeng-Shyang Pan 001 (Int. J. Inf. Acquis., 2006)

A Criterion for Learning the Data-Dependent Kernel for Classification. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (ADMA, 2007)

Locally Discriminant Projection with Kernels for Feature Extraction. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (ADMA, 2007)

2D(PC)2 A for Face Recognition with One Training Image per Person. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (IIH-MSP, 2007)

Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (ISDA, 2007)

Face Recognition from a Single Image per Person Using Common Subfaces Method. - Jun-Bao Li; Jeng-Shyang Pan 001; Shu-Chuan Chu (ISNN (2), 2007)

Adaptive quasiconformal kernel discriminant analysis. - Jeng-Shyang Pan 001; Jun-Bao Li; Zhe-Ming Lu 001 (Neurocomputing, 2008)

Kernel class-wise locality preserving projection. - Jun-Bao Li; Jeng-Shyang Pan 001; Shu-Chuan Chu (Inf. Sci., 2008)

Discriminant Parallel Feature Fusion Based on Maximum Margin Criterion for Pattern Classification. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (J. Digit. Inf. Manag., 2008)

Extracting Invariable Features Using Geometry Projection Based Histogram Model for 3D Object Description. - Jun-Bao Li; Longjiang Yu; Shize Guo (IIH-MSP, 2009)

Kernel optimization-based discriminant analysis for face recognition. - Jun-Bao Li; Jeng-Shyang Pan 001; Zhe-Ming Lu 001 (Neural Comput. Appl., 2009)

Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models. - Jun-Bao Li; Jeng-Shyang Pan 001; Zhe-Ming Lu 001 (Neural Comput. Appl., 2009)

Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001 (ICUIMC, 2010)

Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition. - Jun-Bao Li; Jeng-Shyang Pan 001; Shyi-Ming Chen (Neurocomputing, 2011)

Medical Image Super-resolution Analysis with Sparse Representation. - Yun-Heng Wang; Jun-Bao Li; Ping Fu (IIH-MSP, 2012)

Novel Watermarked MDC System Based on SFQ Algorithm. - Lin-Lin Tang; Jeng-Shyang Pan 001; Hao Luo 001; Jun-Bao Li (IEICE Trans. Commun., 2012)

Multiple Viewpoints Based Overview for Face Recognition. - Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan 001; Lakhmi C. Jain (J. Inf. Hiding Multim. Signal Process., 2012)

Mammographic Image Based Breast Tissue Classification with Kernel Self-optimized Fisher Discriminant for Breast Cancer Diagnosis. - Jun-Bao Li (J. Medical Syst., 2012)

Breast Tissue Image Classification Based on Semi-supervised Locality Discriminant Projection with Kernels. - Jun-Bao Li; Yang Yu 015; Zhiming Yang 001; Lin-Lin Tang (J. Medical Syst., 2012)

Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition. - Jun-Bao Li; Huijun Gao (Neural Comput. Appl., 2012)

Quasi-static and Modal Analysis of Bridge-Type Compliant Mechanism with Flexure Hinges. - Yuan Ni; Zongquan Deng; Xiang Wu; Junbao Li; Wei Huang; Long Li (RVSP, 2013)

Nonlinear low frequency water waves in a cylindrical shell subjected to high frequency excitations - Part I: Experimental study. - Dajun Wang; Chunyan Zhou; Junbao Li; Song Shen; Min Li; Xijun Liu (Commun. Nonlinear Sci. Numer. Simul., 2013)

Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis. - Jun-Bao Li; Yu Peng 002; Datong Liu (Inf. Sci., 2013)

3D model classification based on nonparametric discriminant analysis with kernels. - Jun-Bao Li; Wen-He Sun; Yun-Heng Wang; Lin-Lin Tang (Neural Comput. Appl., 2013)

A Novel Watermarked Multiple Description Scalar Quantization Coding Framework. - Lin-Lin Tang; Jeng-Shyang Pan 001; Jun-Bao Li (IEA/AIE (1), 2014)

Genetic Generalized Discriminant Analysis and Its Applications. - Lijun Yan; Lin-Lin Tang; Shu-Chuan Chu; Xiaorui Zhu; Jun-Bao Li; Xiaochuan Guo (IEA/AIE (1), 2014)

Kernel self-optimization learning for kernel-based feature extraction and recognition. - Jun-Bao Li; Yun-Heng Wang; Shu-Chuan Chu; John F. Roddick (Inf. Sci., 2014)

Optimizing Matrix Mapping with Data Dependent Kernel for Image Classification. - Delong Zhang; Jiaqing Qiao; Jun-Bao Li; Liyan Qiao; Shu-Chuan Chu; John F. Roddick (J. Inf. Hiding Multim. Signal Process., 2014)

A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting. - Yu Peng 002; Miao Lei; Jun-Bao Li; Xiyuan Peng (Neural Comput. Appl., 2014)

A Unified Framework of Single Image Haze Removal under Different Weather Conditions. - Yi-Fan Li; Qiang Su; Jeng-Shyang Pan 001; Jun-Bao Li; Wei Cui; Huan-Yu Liu (ECC, 2015)

Image Segmentation Using KFTBES. - Yi-Fan Li; Wei Cui; Jeng-Shyang Pan 001; Jun-Bao Li; Qiang Su (ICGEC (1), 2015)

Multi-Objective Design Optimization of an Over-Constrained Flexure-Based Amplifier. - Yuan Ni; Zongquan Deng; Junbao Li; Xiang Wu; Long Li (Algorithms, 2015)

Multiple data-dependent kernel for classification of hyperspectral images. - Zhi He; Junbao Li (Expert Syst. Appl., 2015)

Regularized multivariable grey model for stable grey coefficients estimation. - Zhi He; Yi Shen 001; Junbao Li; Yan Wang 047 (Expert Syst. Appl., 2015)

Locality structure preserving based feature selection for prognostics. - Yu Peng 002; Yong Xu; Datong Liu; Jun-Bao Li (Intell. Data Anal., 2015)

An improving analytical model with high accuracy for a micro manipulator. - Yuan Ni; Zongquan Deng; Junbao Li; Xiang Wu; Long Li (J. Inf. Hiding Multim. Signal Process., 2015)

Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification. - Junbao Li; Wenhui Yang; Datong Liu; Jing Liu (CMCSN, 2016)

NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics. - Zhiming Yang 001; Jun-Bao Li; Yang Yu 015; Xiyuan Peng (Algorithms, 2016)

A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images. - Li Li; Chao Sun; Lianlei Lin; Junbao Li; Shouda Jiang (Neurocomputing, 2016)

Parallel search strategy in kernel feature space to track FLIR target. - Zhen Shi; Chang'an Wei; Jun-Bao Li; Ping Fu; Shouda Jiang (Neurocomputing, 2016)

The Classification of Synthetic Aperture Radar Image Target Based on Deep Learning. - Xiuyuan Chen; Xiyuan Peng; Yu Peng 002; Jun-Bao Li (J. Inf. Hiding Multim. Signal Process., 2016)

Overview of Deep Kernel Learning Based Techniques and Applications. - Xiuyuan Chen; Xiyuan Peng; Jun-Bao Li; Yu Peng 002 (J. Netw. Intell., 2016)

DEDF: lightweight WSN distance estimation using RSSI data distribution-based fingerprinting. - Qinghua Luo; Xiaozhen Yan; Junbao Li; Yu Peng 002; Yumei Tang; Jiaqi Wang; Dan Wang 002 (Neural Comput. Appl., 2016)

NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method. - Peng Sun; Zhiming Yang 001; Yang Yu 015; Jun-Bao Li; Xiyuan Peng (Algorithms, 2017)

MWPCA-ICURD: density-based clustering method discovering specific shape original features. - Qinghua Luo; Yu Peng 002; Junbao Li; Xiyuan Peng (Neural Comput. Appl., 2017)

Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction. - Jun-Bao Li; Huan-Yu Liu; Jeng-Shyang Pan 001; Hongxun Yao (Biomed. Signal Process. Control., 2018)

A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning. - Li Li; Chao Sun; Lianlei Lin; Junbao Li; Shouda Jiang; Jingwei Yin (Inf. Sci., 2018)

A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images. - Li Li; Chao Sun; Lianlei Lin; Junbao Li; Shouda Jiang (Neural Comput. Appl., 2018)

Hierarchical search strategy in particle filter framework to track infrared target. - Zhen Shi; Chang'an Wei; Jun-Bao Li; Ping Fu; Shouda Jiang (Neural Comput. Appl., 2018)

Multiple Feature Point Discriminant Analysis and Its Application to Feature Extraction. - Lijun Yan; Junbao Li; Ying Zhou (EEET, 2019)

Bilinear discriminant feature line analysis for image feature extraction. - Lijun Yan; Jun-Bao Li; Xiaorui Zhu; Jeng-Shyang Pan 001; Lin-Lin Tang (CoRR, 2019)

Feature Point Matching Based on Distinct Wavelength Phase Congruency and Log-Gabor Filters in Infrared and Visible Images. - Xiaomin Liu; Jun-Bao Li; Jeng-Shyang Pan 001 (Sensors, 2019)

Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection. - Huijun Gao; Ming Yi; Jinyong Yu; Junbao Li; Xinghu Yu (IEEE Trans. Ind. Informatics, 2019)

Video Saliency Detection via Graph Clustering With Motion Energy and Spatiotemporal Objectness. - Mingzhu Xu; Bing Liu 022; Ping Fu; Junbao Li; Yu Hen Hu (IEEE Trans. Multim., 2019)

Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature. - Xiuyuan Chen; Xiyuan Peng; Jun-Bao Li; Chaoying Huo (IEEE Access, 2020)

Coarse Semantic-Based Motion Removal for Robust Mapping in Dynamic Environments. - Shuo Wang 030; Xudong Lv; Junbao Li; Dong Ye 003 (IEEE Access, 2020)

DWS-MKL: Depth-width-scaling multiple kernel learning for data classification. - Tingting Wang 011; Huayou Su; Junbao Li (Neurocomputing, 2020)

Video Salient Object Detection via Robust Seeds Extraction and Multi-Graphs Manifold Propagation. - Mingzhu Xu; Bing Liu 022; Ping Fu; Junbao Li; Yu Hen Hu; Shou Feng (IEEE Trans. Circuits Syst. Video Technol., 2020)

Image-matching framework based on region partitioning for target image location. - Xiaomin Liu; Jun-Bao Li; Jeng-Shyang Pan 001; Shuo Wang 030; Xudong Lv; Shuanglong Cui (Telecommun. Syst., 2020)

Improved binary pigeon-inspired optimization and its application for feature selection. - Jeng-Shyang Pan 001; Ai-Qing Tian; Shu-Chuan Chu; Jun-Bao Li (Appl. Intell., 2021)

SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition. - Tingting Wang 011; Lei Xu; Junbao Li (Neurocomputing, 2021)

An advanced gradient texture feature descriptor based on phase information for infrared and visible image matching. - Xiaomin Liu; Jun-Bao Li; Jeng-Shyang Pan 001; Shuo Wang 030 (Multim. Tools Appl., 2021)

Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection. - Mingzhu Xu; Ping Fu; Bing Liu 022; Junbao Li (IEEE Trans. Image Process., 2021)

Visual tracking via dynamic saliency discriminative correlation filter. - Lina Gao; Bing Liu 022; Ping Fu; Mingzhu Xu; Junbao Li (Appl. Intell., 2022)

A novel dynamic graph evolution network for salient object detection. - Mingzhu Xu; Ping Fu; Bing Liu 022; Hongtao Yin; Junbao Li (Appl. Intell., 2022)

Adaptive gradients and weight projection based on quantized neural networks for efficient image classification. - Ran Wu; Huanyu Liu; Jun-Bao Li (Comput. Vis. Image Underst., 2022)

Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification. - Tingting Wang 011; Bo Dong; Kaichun Zhang; Junbao Li; Lei Xu (Knowl. Based Syst., 2022)

Generalized Radar Range Equation Applied to the Whole Field Region. - Luyin Xiao; Yongjun Xie; Shida Gao; Junbao Li; Peiyu Wu (Sensors, 2022)

Spectral-Spatial Classification of Few Shot Hyperspectral Image With Deep 3-D Convolutional Random Fourier Features Network. - Tingting Wang 011; Huanyu Liu; Junbao Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Parallel binary arithmetic optimization algorithm and its application for feature selection. - Zhongjie Zhuang; Jeng-Shyang Pan 001; Junbao Li; Shu-Chuan Chu (Knowl. Based Syst., 2023)

Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection. - Xiaomin Liu; Donghua Yuan; Kai Xue; Jun-Bao Li; Huaqi Zhao; Huanyu Liu; Tingting Wang 011 (Appl. Intell., 2023)

Domain migration representation learning for blind magnetic resonance image super-resolution. - Xiaodong Liu; Haipeng Guo; Huanyu Liu; Junbao Li (Biomed. Signal Process. Control., 2023)

SSTP: Stock Sector Trend Prediction with Temporal-Spatial Network. - Shuo Yin; Youwei Gao; Shuai Nie; Junbao Li (Inf. Technol. Control., 2023)

ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification. - Ran Wu; Huanyu Liu; Jun-Bao Li (Knowl. Based Syst., 2023)

A Task-Risk Consistency Object Detection Framework Based on Deep Reinforcement Learning. - Jiazheng Wen; Huanyu Liu; Junbao Li (Remote. Sens., 2023)

HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution. - Shu-Chuan Chu; Zhi-Chao Dou; Jeng-Shyang Pan 001; Shaowei Weng; Junbao Li (CVPR Workshops, 2024)

Improved object detection method for unmanned driving based on Transformers. - Huaqi Zhao; Xiang Peng; Su Wang; Jun-Bao Li; Jeng-Shyang Pan 001; Xiaoguang Su; Xiaomin Liu (Frontiers Neurorobotics, 2024)

Hyper-feature aggregation and relaxed distillation for class incremental learning. - Ran Wu; Huanyu Liu; Zongcheng Yue; Jun-Bao Li; Chiu-Wing Sham (Pattern Recognit., 2024)

Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images. - Pengcheng Wang; Huanyu Liu; Xinrui Zhou; Zhijun Xue; Liang Ni 005; Qi Han; Junbao Li (Remote. Sens., 2024)

PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement. - Jiazheng Wen; Huanyu Liu; Junbao Li (Mach. Vis. Appl., 2024)

Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency. - Haipeng Guo; Huanyu Liu; Jiazheng Wen; Junbao Li (AAAI, 2025)

A novel approach to spectral moisture interference correction for nitrogen and soil organic matter inversion in native black soils: Bayesian-optimized dynamic moisture mitigation. - Jiaze Tang; Qisong Wang; Dan Liu 004; Junbao Li; Ruifeng Zhang; Meiyan Zhang; Jinwei Sun (Ecol. Informatics, 2025)

Image inpainting with aggregated convolution progressive network. - Yang Li; Jia Zhai; Wen Lu; Haipeng Guo; Jiazheng Wen; Huanyu Liu; Junbao Li (IET Image Process., 2025)

Training Sample Selection Based on SAR Images Quality Evaluation With Multi-Indicators Fusion. - Pengcheng Wang; Huanyu Liu; Junbao Li (IET Signal Process., 2025)

A Transformer-based network with adaptive spatial prior for visual tracking. - Feng Cheng; Gaoliang Peng; Junbao Li; Benqi Zhao; Jeng-Shyang Pan 001; Hang Li (Neurocomputing, 2025)

Automatic visual enhancement of PTZ camera based on reinforcement learning. - Hao Fang; Huanyu Liu; Jiazheng Wen; Zhonglin Yang; Junbao Li; Qi Han (Neurocomputing, 2025)

A progressive sampling method for object detection performance surface based on Gaussian process multi-kernel fusion. - Pengcheng Wang; Huanyu Liu; Junbao Li (Neurocomputing, 2025)

Feature-matching method based on keypoint response constraint using binary encoding of phase congruency. - Xiaomin Liu; Qiqi Li; Yuzhe Hu; Jeng-Shyang Pan 001; Huaqi Zhao; Donghua Yuan; Jun-Bao Li (Pattern Recognit., 2025)

Feature space expansion and compression with spatial-spectral augmentation for hyperspectral image Class-Incremental Learning. - Ran Wu; Huanyu Liu; Zongcheng Yue; Chiu-Wing Sham; Jun-Bao Li (Pattern Recognit., 2025)

Siamsdt: a self-adaptive dynamic template siamese network for airborne visual tracking of MAVs on heterogeneous FPGA-SoC. - Yuxin Zhang; Jiazheng Wen; Ran Wu; Huanyu Liu; Junbao Li (J. Supercomput., 2025)