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2020 – today
- 2024
[j63]Huaqi Zhao, Xiang Peng, Su Wang, Jun-Bao Li, Jeng-Shyang Pan, Xiaoguang Su, Xiaomin Liu:
Improved object detection method for unmanned driving based on Transformers. Frontiers Neurorobotics 18 (2024)- [j62]Jiazheng Wen
, Huanyu Liu, Junbao Li:
PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement. Mach. Vis. Appl. 35(3): 54 (2024) - [j61]Ran Wu, Huanyu Liu, Zongcheng Yue, Jun-Bao Li, Chiu-Wing Sham:
Hyper-feature aggregation and relaxed distillation for class incremental learning. Pattern Recognit. 152: 110440 (2024) - [j60]Pengcheng Wang, Huanyu Liu, Xinrui Zhou, Zhijun Xue, Liang Ni, Qi Han, Junbao Li:
Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images. Remote. Sens. 16(6): 1097 (2024) - [c20]Shu-Chuan Chu, Zhi-Chao Dou, Jeng-Shyang Pan, Shaowei Weng, Junbao Li:
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution. CVPR Workshops 2024: 6257-6266 - [i2]Shu-Chuan Chu, Zhi-Chao Dou, Jeng-Shyang Pan, Shaowei Weng, Junbao Li:
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution. CoRR abs/2405.05001 (2024) - 2023
- [j59]Xiaomin Liu, Donghua Yuan, Kai Xue, Jun-Bao Li, Huaqi Zhao, Huanyu Liu, Tingting Wang:
Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection. Appl. Intell. 53(8): 9689-9707 (2023) - [j58]Xiaodong Liu, Haipeng Guo, Huanyu Liu, Junbao Li:
Domain migration representation learning for blind magnetic resonance image super-resolution. Biomed. Signal Process. Control. 86(Part C): 105357 (2023) - [j57]Shuo Yin, Youwei Gao, Shuai Nie, Junbao Li:
SSTP: Stock Sector Trend Prediction with Temporal-Spatial Network. Inf. Technol. Control. 52(3): 653-664 (2023) - [j56]Zhongjie Zhuang, Jeng-Shyang Pan, Junbao Li, Shu-Chuan Chu:
Parallel binary arithmetic optimization algorithm and its application for feature selection. Knowl. Based Syst. 275: 110640 (2023) - [j55]Ran Wu, Huanyu Liu, Jun-Bao Li:
ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification. Knowl. Based Syst. 278: 110824 (2023) - [j54]Jiazheng Wen, Huanyu Liu, Junbao Li:
A Task-Risk Consistency Object Detection Framework Based on Deep Reinforcement Learning. Remote. Sens. 15(20): 5031 (2023) - 2022
- [j53]Mingzhu Xu, Ping Fu, Bing Liu, Hongtao Yin, Junbao Li:
A novel dynamic graph evolution network for salient object detection. Appl. Intell. 52(3): 2854-2871 (2022) - [j52]Lina Gao, Bing Liu, Ping Fu, Mingzhu Xu, Junbao Li:
Visual tracking via dynamic saliency discriminative correlation filter. Appl. Intell. 52(6): 5897-5911 (2022) - [j51]Ran Wu, Huanyu Liu, Jun-Bao Li:
Adaptive gradients and weight projection based on quantized neural networks for efficient image classification. Comput. Vis. Image Underst. 223: 103516 (2022) - [j50]Tingting Wang, Bo Dong, Kaichun Zhang, Junbao Li, Lei Xu:
Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification. Knowl. Based Syst. 237: 107878 (2022) - [j49]Luyin Xiao, Yongjun Xie, Shida Gao, Junbao Li, Peiyu Wu:
Generalized Radar Range Equation Applied to the Whole Field Region. Sensors 22(12): 4608 (2022) - [j48]Tingting Wang, Huanyu Liu, Junbao Li:
Spectral-Spatial Classification of Few Shot Hyperspectral Image With Deep 3-D Convolutional Random Fourier Features Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - 2021
- [j47]Jeng-Shyang Pan, Ai-Qing Tian, Shu-Chuan Chu, Jun-Bao Li:
Improved binary pigeon-inspired optimization and its application for feature selection. Appl. Intell. 51(12): 8661-8679 (2021) - [j46]Tingting Wang, Lei Xu, Junbao Li:
SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition. Neurocomputing 456: 288-298 (2021) - [j45]Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan, Shuo Wang:
An advanced gradient texture feature descriptor based on phase information for infrared and visible image matching. Multim. Tools Appl. 80(11): 16491-16511 (2021) - [j44]Mingzhu Xu, Ping Fu, Bing Liu, Junbao Li:
Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection. IEEE Trans. Image Process. 30: 4183-4197 (2021) - 2020
- [j43]Shuo Wang, Xudong Lv, Junbao Li, Dong Ye:
Coarse Semantic-Based Motion Removal for Robust Mapping in Dynamic Environments. IEEE Access 8: 74048-74064 (2020) - [j42]Xiuyuan Chen, Xiyuan Peng, Jun-Bao Li, Chaoying Huo:
Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature. IEEE Access 8: 153250-153263 (2020) - [j41]Tingting Wang, Huayou Su, Junbao Li:
DWS-MKL: Depth-width-scaling multiple kernel learning for data classification. Neurocomputing 411: 455-467 (2020) - [j40]Mingzhu Xu, Bing Liu, Ping Fu, Junbao Li, Yu Hen Hu, Shou Feng:
Video Salient Object Detection via Robust Seeds Extraction and Multi-Graphs Manifold Propagation. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2191-2206 (2020) - [j39]Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan, Shuo Wang, Xudong Lv, Shuanglong Cui:
Image-matching framework based on region partitioning for target image location. Telecommun. Syst. 74(3): 269-286 (2020)
2010 – 2019
- 2019
- [j38]Xiaomin Liu, Jun-Bao Li, Jeng-Shyang Pan:
Feature Point Matching Based on Distinct Wavelength Phase Congruency and Log-Gabor Filters in Infrared and Visible Images. Sensors 19(19): 4244 (2019) - [j37]Huijun Gao, Ming Yi, Jinyong Yu, Junbao Li, Xinghu Yu:
Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection. IEEE Trans. Ind. Informatics 15(10): 5413-5424 (2019) - [j36]Mingzhu Xu, Bing Liu, Ping Fu, Junbao Li, Yu Hen Hu:
Video Saliency Detection via Graph Clustering With Motion Energy and Spatiotemporal Objectness. IEEE Trans. Multim. 21(11): 2790-2805 (2019) - [c19]Lijun Yan, Junbao Li, Ying Zhou:
Multiple Feature Point Discriminant Analysis and Its Application to Feature Extraction. EEET 2019: 19-23 - [i1]Lijun Yan, Jun-Bao Li, Xiaorui Zhu, Jeng-Shyang Pan, Lin-Lin Tang:
Bilinear discriminant feature line analysis for image feature extraction. CoRR abs/1905.03710 (2019) - 2018
- [j35]Jun-Bao Li, Huan-Yu Liu, Jeng-Shyang Pan, Hongxun Yao:
Training samples-optimizing based dictionary learning algorithm for MR sparse superresolution reconstruction. Biomed. Signal Process. Control. 39: 177-184 (2018) - [j34]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang, Jingwei Yin:
A dual-kernel spectral-spatial classification approach for hyperspectral images based on Mahalanobis distance metric learning. Inf. Sci. 429: 260-283 (2018) - [j33]Zhen Shi, Chang'an Wei, Jun-Bao Li, Ping Fu, Shouda Jiang:
Hierarchical search strategy in particle filter framework to track infrared target. Neural Comput. Appl. 29(2): 469-481 (2018) - [j32]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang:
A Mahalanobis metric learning-based polynomial kernel for classification of hyperspectral images. Neural Comput. Appl. 29(4): 1103-1113 (2018) - 2017
- [j31]Peng Sun, Zhiming Yang, Yang Yu, Jun-Bao Li, Xiyuan Peng:
NBTI and Power Reduction Using an Input Vector Control and Supply Voltage Assignment Method. Algorithms 10(3): 94 (2017) - [j30]Qinghua Luo, Yu Peng, Junbao Li, Xiyuan Peng:
MWPCA-ICURD: density-based clustering method discovering specific shape original features. Neural Comput. Appl. 28(9): 2545-2556 (2017) - 2016
- [j29]Zhiming Yang, Jun-Bao Li, Yang Yu, Xiyuan Peng:
NBTI-Aware Transient Fault Rate Analysis Method for Logic Circuit Based on Probability Voltage Transfer Characteristics. Algorithms 9(1): 9 (2016) - [j28]Li Li, Chao Sun, Lianlei Lin, Junbao Li, Shouda Jiang:
A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images. Neurocomputing 214: 430-444 (2016) - [j27]Zhen Shi, Chang'an Wei, Jun-Bao Li, Ping Fu, Shouda Jiang:
Parallel search strategy in kernel feature space to track FLIR target. Neurocomputing 214: 671-683 (2016) - [j26]Xiuyuan Chen, Xiyuan Peng, Yu Peng, Jun-Bao Li:
The Classification of Synthetic Aperture Radar Image Target Based on Deep Learning. J. Inf. Hiding Multim. Signal Process. 7(6): 1345-1353 (2016) - [j25]Xiuyuan Chen, Xiyuan Peng, Jun-Bao Li, Yu Peng:
Overview of Deep Kernel Learning Based Techniques and Applications. J. Netw. Intell. 1(3): 83-98 (2016) - [j24]Qinghua Luo, Xiaozhen Yan, Junbao Li, Yu Peng, Yumei Tang, Jiaqi Wang, Dan Wang:
DEDF: lightweight WSN distance estimation using RSSI data distribution-based fingerprinting. Neural Comput. Appl. 27(6): 1567-1575 (2016) - [c18]Junbao Li, Wenhui Yang, Datong Liu, Jing Liu:
Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification. CMCSN 2016: 88-91 - [e1]Yuchen Song, Shaojun Wang, Brent Nelson, Junbao Li, Yu Peng:
2016 International Conference on Field-Programmable Technology, FPT 2016, Xi'an, China, December 7-9, 2016. IEEE 2016, ISBN 978-1-5090-5602-6 [contents] - 2015
- [j23]Yuan Ni, Zongquan Deng, Junbao Li, Xiang Wu, Long Li:
Multi-Objective Design Optimization of an Over-Constrained Flexure-Based Amplifier. Algorithms 8(3): 424-434 (2015) - [j22]Zhi He, Junbao Li:
Multiple data-dependent kernel for classification of hyperspectral images. Expert Syst. Appl. 42(3): 1118-1135 (2015) - [j21]Zhi He, Yi Shen, Junbao Li, Yan Wang:
Regularized multivariable grey model for stable grey coefficients estimation. Expert Syst. Appl. 42(4): 1806-1815 (2015) - [j20]Yu Peng, Yong Xu, Datong Liu, Jun-Bao Li:
Locality structure preserving based feature selection for prognostics. Intell. Data Anal. 19(3): 659-682 (2015) - [j19]Yuan Ni, Zongquan Deng, Junbao Li, Xiang Wu, Long Li:
An improving analytical model with high accuracy for a micro manipulator. J. Inf. Hiding Multim. Signal Process. 6(6): 1242-1249 (2015) - [c17]Yi-Fan Li, Qiang Su, Jeng-Shyang Pan, Jun-Bao Li, Wei Cui, Huan-Yu Liu:
A Unified Framework of Single Image Haze Removal under Different Weather Conditions. ECC 2015: 393-403 - [c16]Yi-Fan Li, Wei Cui, Jeng-Shyang Pan, Jun-Bao Li, Qiang Su:
Image Segmentation Using KFTBES. ICGEC (1) 2015: 11-20 - 2014
- [j18]Jun-Bao Li, Yun-Heng Wang, Shu-Chuan Chu, John F. Roddick:
Kernel self-optimization learning for kernel-based feature extraction and recognition. Inf. Sci. 257: 70-80 (2014) - [j17]Delong Zhang, Jiaqing Qiao, Jun-Bao Li, Liyan Qiao, Shu-Chuan Chu, John F. Roddick:
Optimizing Matrix Mapping with Data Dependent Kernel for Image Classification. J. Inf. Hiding Multim. Signal Process. 5(1): 72-79 (2014) - [j16]Yu Peng, Miao Lei, Jun-Bao Li, Xiyuan Peng:
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting. Neural Comput. Appl. 24(3-4): 883-890 (2014) - [c15]Lin-Lin Tang, Jeng-Shyang Pan, Jun-Bao Li:
A Novel Watermarked Multiple Description Scalar Quantization Coding Framework. IEA/AIE (1) 2014: 236-245 - [c14]Lijun Yan, Lin-Lin Tang, Shu-Chuan Chu, Xiaorui Zhu, Jun-Bao Li, Xiaochuan Guo:
Genetic Generalized Discriminant Analysis and Its Applications. IEA/AIE (1) 2014: 246-255 - 2013
- [j15]Dajun Wang, Chunyan Zhou, Junbao Li, Song Shen, Min Li, Xijun Liu:
Nonlinear low frequency water waves in a cylindrical shell subjected to high frequency excitations - Part I: Experimental study. Commun. Nonlinear Sci. Numer. Simul. 18(7): 1710-1724 (2013) - [j14]Jun-Bao Li, Yu Peng, Datong Liu:
Quasiconformal kernel common locality discriminant analysis with application to breast cancer diagnosis. Inf. Sci. 223: 256-269 (2013) - [j13]Jun-Bao Li, Wen-He Sun, Yun-Heng Wang, Lin-Lin Tang:
3D model classification based on nonparametric discriminant analysis with kernels. Neural Comput. Appl. 22(3-4): 771-781 (2013) - [c13]Yuan Ni, Zongquan Deng, Xiang Wu, Junbao Li, Wei Huang, Long Li:
Quasi-static and Modal Analysis of Bridge-Type Compliant Mechanism with Flexure Hinges. RVSP 2013: 102-106 - 2012
- [j12]Lin-Lin Tang, Jeng-Shyang Pan, Hao Luo, Jun-Bao Li:
Novel Watermarked MDC System Based on SFQ Algorithm. IEICE Trans. Commun. 95-B(9): 2922-2925 (2012) - [j11]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Lakhmi C. Jain:
Multiple Viewpoints Based Overview for Face Recognition. J. Inf. Hiding Multim. Signal Process. 3(4): 352-369 (2012) - [j10]Jun-Bao Li:
Mammographic Image Based Breast Tissue Classification with Kernel Self-optimized Fisher Discriminant for Breast Cancer Diagnosis. J. Medical Syst. 36(4): 2235-2244 (2012) - [j9]Jun-Bao Li, Yang Yu, Zhiming Yang, Lin-Lin Tang:
Breast Tissue Image Classification Based on Semi-supervised Locality Discriminant Projection with Kernels. J. Medical Syst. 36(5): 2779-2786 (2012) - [j8]Jun-Bao Li, Huijun Gao:
Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition. Neural Comput. Appl. 21(8): 1971-1980 (2012) - [c12]Yun-Heng Wang, Jun-Bao Li, Ping Fu:
Medical Image Super-resolution Analysis with Sparse Representation. IIH-MSP 2012: 106-109 - 2011
- [j7]Jun-Bao Li, Jeng-Shyang Pan, Shyi-Ming Chen:
Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition. Neurocomputing 74(17): 3019-3027 (2011) - 2010
- [c11]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
Dimensionality reduction based on nonparametric discriminant analysis with kernels for feature extraction and recognition. ICUIMC 2010: 29
2000 – 2009
- 2009
- [j6]Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu:
Kernel optimization-based discriminant analysis for face recognition. Neural Comput. Appl. 18(6): 603-612 (2009) - [j5]Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu:
Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models. Neural Comput. Appl. 18(6): 613-621 (2009) - [c10]Jun-Bao Li, Longjiang Yu, Shize Guo:
Extracting Invariable Features Using Geometry Projection Based Histogram Model for 3D Object Description. IIH-MSP 2009: 608-611 - 2008
- [j4]Jeng-Shyang Pan, Jun-Bao Li, Zhe-Ming Lu:
Adaptive quasiconformal kernel discriminant analysis. Neurocomputing 71(13-15): 2754-2760 (2008) - [j3]Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu:
Kernel class-wise locality preserving projection. Inf. Sci. 178(7): 1825-1835 (2008) - [j2]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
Discriminant Parallel Feature Fusion Based on Maximum Margin Criterion for Pattern Classification. J. Digit. Inf. Manag. 6(2): 201-207 (2008) - 2007
- [c9]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
A Criterion for Learning the Data-Dependent Kernel for Classification. ADMA 2007: 365-376 - [c8]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
Locally Discriminant Projection with Kernels for Feature Extraction. ADMA 2007: 586-593 - [c7]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
2D(PC)2 A for Face Recognition with One Training Image per Person. IIH-MSP 2007: 131-134 - [c6]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan:
Laplacian Discriminant Projection with Optimized Kernels for Supervised Feature Extraction and Classification. ISDA 2007: 115-120 - [c5]Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu:
Face Recognition from a Single Image per Person Using Common Subfaces Method. ISNN (2) 2007: 905-912 - 2006
- [j1]Jun-Bao Li, Jeng-Shyang Pan:
Adaptive Kernel Discriminant Analysis and its Applications on Pattern Recognition. Int. J. Inf. Acquis. 3(4): 329-337 (2006) - [c4]Jun-Bao Li, Shu-Chuan Chu, Jung-Chou Harry Chang, Jeng-Shyang Pan:
Discriminant Feature Fusion Strategy for Supervised Learning. IIH-MSP 2006: 301-304 - [c3]Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan, Jiun-Huei Ho:
A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images. IIH-MSP 2006: 305-308 - [c2]Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu, Jung-Chou Harry Chang:
Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition. ISCAS 2006 - [c1]Jun-Bao Li, Jeng-Shyang Pan, Zhe-Ming Lu:
An Efficient Reformative Kernel Discriminant Analysis for Face Recognition. ROBIO 2006: 406-409
Coauthor Index
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