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2020年期刊论文
[1] Wei Xiao, Xiaolin Huang, Fan He, Jorge Silva, Saba Emrani, Arin Chaudhuri: Online Robust Principal Component Analysis with Change Point Detection, IEEE Transactions on Multimedia, 22(1): 59-68, 2020
[2] Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A.K. Suykens: A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels, IEEE Transactions on Neural Networks and Learning Systems, 31(8): 2162-2388, 2020
[3] Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang: Towards Making Unsupervised Graph Hashing Discriminative, IEEE Transactions on Multimedia, 22(3): 760-774, 2020
[4] Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang: Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing, IEEE Transactions on Circuits and Systems for Video Technology, 30(1): 23-35, 2020
[5] Yun Gu, Khushi Vyas, Mali Shen, Jie Yang, Guang-Zhong Yang: Deep Graph-based Multimodal Feature Embedding for Endomicroscopy Image Retrieval, IEEE Transactions on Neural Networks and Learning Systems, 1(1): 1-1, 2020
[6] Tao Zhou , Changqing Zhang , Chen Gong , Harish Bhaskar, Jie Yang: Multiview Latent Space Learning With Feature Redundancy Minimization, IEEE Transactions on Cybernetics , : 1, 2020
[7] Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid: Real-time Image Smoothing via Iterative Least Squares, ACM Transactions on Graphics, 39(3): 1-10, 2020
[8] Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang: Mixed-Precision Quantized Neural Networks with Progressively Decreasing Bitwidth, Pattern Recognition, (111): 107647, 2020
[9] Zhangjing Yang, Weiwu Yan, Xiaolin Huang, Lin Mei: Adaptive Temporal-Frequency Network for Time-Series Forecasting, IEEE Transactions on Knowledge and Data Engineering, : 1-12, 2020
[10] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Learning Data-adaptive Non-parametric Kernels, Journal of Machine Learning Research, 21(208): 1-39, 2020
2019年期刊论文
[1] Fanghui Liu, Xiaolin Huang, Jie Yang, Chen Gong, Johan A.K. Suykens: Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure, IEEE Transactions on Neural Networks and Learning Systems, 30(3): 765-776, 2019
[2] Yulei Qin, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu: Pulmonary nodule segmentation with CT sample synthesis using adversarial networks, Medical Physics, 46(3): 1218-1229, 2019
[3] Daniel Stromer, Vincent Christlein, Xiaolin Huang, Patrick Zippert, Tino Hausotte, Andreas Maier: Virtual cleaning and unwrapping of non-invasively digitized soiled bamboo scrolls, Scientific Reports, 9: 2311, 2019
[4] Yun Gu, Jie Yang: Multi-level Magnification Correlation Hashing for Scalable Histopathological Image Retrieval, Neurocomputing, : 1-1, 2019
[5] Xiaolin Huang, Haiyan Yang, Yixing Huang, Lei Shi, Fan He, Andreas Maier, Ming Yan: Robust Mixed One-bit Compressive Sensing, Signal Processing, 162: 161-168, 2019
[6] Xi Liu, Zhiyu Huang, Zhenzhou Wang, Chenyao Wen, Zhe Jiang, Zekuan Yu, Jingfeng Liu, Gangjun Liu, Xiaolin Huang, Andreas Maire, Qiushi Ren, Yanye Lu: A Deep Learning Based Pipeline for Optical Coherence Tomography Angiography, Journal of Biophotonics, : 1-9, 2019
[7] Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, Jie Yang: Adversarial Attack Type I: Cheat Classifiers by Significant Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, : 10.1109/TPAMI.2019.2936378, 2019
[8] Chao Shang, Hongquan Ji, Xiaolin Huang, Fan Yang, Dexian Huang: Generalized grouped contributions for hierarchical fault diagnosis with group Lasso, Control Engineering Practice, 93: 104193, 2019
[9] Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A.K. Suykens: Sparse Kernel Regression with Coefficient-based lq regularization, Journal of Machine Learning Research, 161: 1-44, 2019
[10] Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang: Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks, IEEE Transactions on Medical Imaging, 38(11): 2569-2581, 2019
[11] Ren, Ruyong, Jia, Zhenhong, Yang, Jie: Quasi-Noise-Free and Detail-Preserved Digital Holographic Reconstruction, IEEE ACCESS, : 1, 2019
[12] Li, Liangliang, Wang, Linli, Jia, Zhenhong, Si, Yujuan, Yang Jie: A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform, Journal of Medical Imaging and Health Informatics, 9(5): 1046-1056, 2019
[13] Ma, Liyuan, Jia, Zhenhong, Yu, Yinfeng, Yang Jie: Multi-Spectral Image Change Detection Based on Band Selection and Single-Band Iterative Weighting, IEEE ACCESS, 7: 27948-27956, 2019
[14] Zareapoor, Masoumeh, Shamsolmoali, Pourya, Yang, Jie: Learning depth super-resolution by using multi-scale convolutional neural network, Journal of Intelligent and Fuzzy Systems, 36(2): 1773-1783, 2019
[15] Suryanarayana, Gunnam, Tu, Enmei, Yang, Jie: Infrared super-resolution imaging using multi-scale saliency and deep wavelet residuals, Infrared Physics & Technology, 97: 177-186, 2019
2018年期刊论文
[1] Jia Cai, Xiaolin Huang: Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties, IEEE Transactions on Neural Networks and Learning Systems, 29(10): 4957-4966, 2018
[2] Fanghui Liu, Chen Gong, Xiaolin Huang,Tao Zhou, Jie Yang, Dacheng Tao: Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transactions on Image Processing, 27(6): 2777-2790, 2018
[3] Yanye Lu, Markus Kowarschik, Xiaolin Huang, Shuqing Chen, Qiushi Ren, Rebecca Fahrig, Joachim Hornegger, Andreas Maier: Material Decomposition using Ensemble Learning for Spectral X-ray Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences, 2(3): 2469-7311, 2018
[4] Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Guenter Lauritsch, Andreas Maier: Scale-Space Anisotropic Total Variation for Limited Angle Tomography, IEEE Transactions on Radiation and Plasma Medical Sciences, 2(4): 307-314, 2018
[5] Wei Xu, Xiaolin Huang, Wei Liu, Haoyuan Chi, Jie Yang: Multi-Task Classification with Sequential Instances and Tasks, Signal Processing: Image Communication , 64: 59-67, 2018
[6] Keren Fu, Irene Yu-Hua Gu, Jie Yang: Spectral Salient Object Detection, Neurocomputing, 275: 788-803, 2018
[7] Siamak Mehrkanoon, Xiaolin Huang, Johan A.K. Suykens: Indefinite Kernel Spectral Learning, Pattern Recognition, 78: 144-153, 2018
[8] Xiaolin Huang, Ming Yan: Nonconvex Penalties with Analytical Solutions for One-bit Compressive Sensing, Signal Processing, 144: 341-351, 2018
[9] Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang: Online Discriminative Dictionary Learning for Robust Object Tracking, Neurocomputing, 275: 1801-1812, 2018
[10] Lei Zhou, Yu Zhao, Jie Yang: Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images, IET Image Processing, 12(4): 563-571, 2018
[11] Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan: Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties, IEEE Signal Processing Letters, 25(9): 1374-1378, 2018
[12] Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng: Unsupervised Video Hashing via Deep Neural Network, Neural Processing Letter, : 877-890, 2018
[13] Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng: SHISS: Supervised hashing with informative set selection, Pattern Recognition Letters, : 105-113, 2018
[14] Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang: Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition, IEEE Transactions on Medical Imaging, 6: 1-8, 2018
[15] Chen Gong, Tongliang Liu, Yuanyan Tang, Dacheng Tao, Jian Yang, Jie Yang: A Regularization Approach for Instance-based Superset Label Learning, IEEE Transactions on Cybernetics , 48(3): 967-978, 2018
[16] Xiaohui Huang,Zhenhong Jia, Junlin Zhou,Yang Jie: Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering, IEEE ACCESS, : 5227-5235, 2018
[17] Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang: Convolutional neural network in network (CNNiN): Hyperspectral image classification and dimensionality reduction, IET Image Processing, : 0-0, 2018
[18] Zareapoor, Masoumeh, Shamsolmoali, Pourya, Kumar Jain, Deepak, Wang, Haoxiang, Yang, Jie: Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset, Pattern Recognition, : 0-0, 2018
[19] Yun Gu, Jie Yang: Densely-connected Multi-magnification Hashing for Histopathological Image Retrival, IEEE Journal of Biomedical and Health Informatics, : 1-8, 2018
[20] Yun Gu, Mali Shen, Jie Yang, Guang-Zhong Yang: Reliable Label-efficient Learning for Biomedical Image Recognition, IEEE Transactions on Biomedical Engineering, : 1-8, 2018
[21] Yanye Lu, Markus Kowarschik, Xiaolin Huang, Yan Xia, J. Choi, Shuqing Chen, Shiyang Hu, Qiushi Ren, Rebecca Fahrig, Joachim Hornegger, Andreas Maier: A Learning-based Material Decomposition Pipeline for Multi-energy X-ray Imaging, Medical Physics, : MP13317, 2018
[22] Xiaolin Huang, Johan A.K. Suykens, Shuning Wang, Joachim Hornegger, Andreas Maier: Classification With Truncated l1 Distance Kernel, IEEE Transactions on Neural Networks and Learning Systems, 29(5): 2025-2030, 2018
2017年期刊论文
[1] Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Solution Path for pin-SVM Classifiers with Positive and Negative tau Value, IEEE Transactions on Neural Networks and Learning Systems, 28(7): 1584-1593, 2017
[2] Xiaolin Huang, Andreas Maire, Joachim Hornegger, Johan A.K. Suykens: Indefinite Kernels in Least Squares Support Vector Machine and Principal Component Analysis, Applied and Computational Harmonic Analysis, 43(1): 162-172, 2017
[3] Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang: Visual Tracking via Nonnegative Multiple Coding, IEEE Transactions on Multimedia, 19(12): 2680-2691, 2017
[4] Enmei Tu, Nikola Kasabov, Jie Yang: Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, a, IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1305-1317, 2017
[5] Keren Fu, Irene Yu-Hua Gu, Jie Yang: Saliency Detection by Fully Learning A Continuous Conditional Random Field, IEEE Transactions on Multimedia, 19(7): 1531-1544, 2017
[6] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang : Online learning and joint optimization of combined spatial-temporal models for robust visual trackin, Neurocomputing, 226: 221-237, 2017
[7] Wei Liu, Jie Yang: Robust Color Guided Depth Map Restoration, IEEE Transactions on Image Processing, 26(1): 315-327, 2017
[8] Yixing Huang, Xiaolin Huang, Oliver Taubmann, Y. Xia, V. Haase, J. Hornegger, G. Lauritsch, A. Maier: Restoration of Missing Data in Limited Angle Tomography Based on Helgason-Ludwig Consistency Cond., Biomedical Physics & Engineering Express, 3(3): 035015, 2017
[9] Xinyu Lin, Ce Zhu, Qian Zhang, Xiaolin Huang, Yipeng Liu: Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour, IEEE Signal Processing Letters, 24(9): 1393-1397, 2017
[10] Chao Shang, Xiaolin Huang, Fengqi You: Data-driven Robust Optimization based on Kernel Learning, Computers & Chemical Engineering, 106: 464-479, 2017
[11] Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li: Adaptive Block Coordinate DIRECT Algorithm, Journal of Global Optimization, 69(4): 797-822, 2017
[12] Jian Wang, R. Schaffert, A. Borsdorf, B. Heigl, Xiaolin Huang, Joachim Hornegger, Andreas Maier: Dynamic 2-D/3-D Rigid Registration Framework using Point-to-Plane Correspondence Model, IEEE Transactions on Medical Imaging, 36(9): 1939-1954, 2017
[13] Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu: HCS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction, IEEE Transactions on Medical Imaging, 36(10): 2148-2159, 2017
[14] Chenjie Ge, Nikola Kasabov, Jie Yang: A spiking neural network model for obstacle avoidance in simulated prosthetic vision, Information Sciences, 399: 30-42, 2017
[15] Yun Gu, Haoyang Xue, Jie Yang: Cross-Modal Saliency Correlation for Image Annotation, Neural Processing Letter, 45(3): 777-789, 2017
[16] Pengpeng Zhang, Yu Qiao, Shengzheng Wang, Jie Yang, Yuemin Zhu: A robust coherent point drift approach based on rotation invariant shape context, Neurocomputing, 219: 455-473, 2017
[17] He Jiang, Jie Yang: In-place similarity and its applications in image and video detail enhancemen, Electronics Letters, 52(12): 1022-1024, 2017
[18] Kasabov, Nikola, Lei Zhou*, Maryam G. Doborjeh*, Zohreh Gholami, Jie Yang: New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modelling and Understanding of Dynamic Cognitive Processes, IEEE Transactions on Cognitive and Developmental Systems, 9(4): 293-303, 2017
[19] Masoumeh Zareapoor, Jie Yang: A Novel Strategy for Mining Highly Imbalanced Data in Credit Card Transactions, Intelligent Automation & Soft Computing, : 0-0, 2017
[20] Zhang Tao, Jia Wenjing, He Xiangjian, Yang Jie: Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection, IEEE Transactions on Circuits and Systems for Video Technology, 27(3): 696-709, 2017
[21] Tao Zhou, Harish Bhaskar, Fanghui Liu, Jie Yang: Graph Regularized and Locality-constrained Coding for Robust Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 27(10): 2153-2164, 2017
[22] Zheng, Zhonglong, Zhang, Jianshu, Zhu, Suhang, Tang, Changbing, Lin, Feilong, Lan, Hui, Chen, Zhongyu, Yang, Jie: CUPID: consistent unlabeled probability of identical distribution for image classification, Knowledge-Based Systems, 137: 115-122, 2017
[23] Zhou, Lei, Yu, Qi, Xu, Xun ,Gu Yun, Yang Jie: Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement, Computer Methods and Programs in Biomedicine, 148: 13-25, 2017
[24] Zhang, Tao, Jia, Wenjing, Yang, Baoqing, Yang, Jie*, He, Xiangjian, Zheng, Zhonglong,: MoWLD: a robust motion image descriptor for violence detection, Multimedia Tools and Applications, 76(1): 1419-1438, 2017
[25] Liu Fanghui, Zhou Tao, Fu Keren, Yang Jie: Kernelized temporal locality learning for real-time visual tracking, Pattern Recognition, 90: 72-79, 2017
[26] Chen, Pengyun, Zhang, Yichen, Jia, Zhenhong, Yang Jie: Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application, SENSORS, 17(6): 0-0, 2017
[27] Guo, Zhiqing, Jia, Zhenhong, Yang Jie*, Kasabov Nikola: Image Processing of Porous Silicon Microarray in Refractive Index Change Detection, SENSORS, 17(6): 0-0, 2017
[28] Ren Dayong, Jia, Zhenhong, Yang Jie, Kasabov Nikola: A Practical GrabCut Color Image Segmentation Based on Bayes Classification and Simple LinearIterative Clustering, IEEE ACCESS, 5: 18480-18487, 2017
[29] Fei Zhou, Zhenhong Jia, Jie Yang, Nikola Kasabov: Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement, BioMed Research International, : 0-0, 2017
[30] Wang, Xueguo, Jia, Zhenhong, Yang, Jie, Kasabov Nikola: Change detection in SAR images based on the logarithmic transformation and total variation denoising method, Remote Sensing Letters, 8(3): 214-223, 2017
[31] Lu Liu, Zhenhong Jia, Jie Yang, Nikola Kasabov: A remote sensing image enhancement method using mean filter and unsharp masking in non-subsampled contourlet transform domain, Transactions of the Institute of Measurement and Control , 39(2): 183-193, 2017
2016年期刊论文
[1] Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang: Label Propagation via Teaching-to-Learn and Learning-to-Teach, IEEE Transactions on Neural Networks and Learning Systems, 28(6): 1452-1465, 2016
[2] Xiangming Xi, Xiaolin Huang, Johan A.K. Suykens, Shuning Wang: Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines, Neural Processing Letter, 43(3): 887-903, 2016
[3] Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A.K. Suykens: Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems, SIAM Journal on Optimization, 26(1): 171-196, 2016
[4] Thomas Köhler, Xiaolin Huang, Frank Schebesch, Andre Aichert, Andreas Maier, Joachime Hornegger: Robust Multi-Frame Super- Resolution Employing Iteratively Re-weighted Minimization, IEEE Transactions on Computational Imaging, 2(1): 42-58, 2016
[5] Yunlong Feng, Yuning Yang, Xiaolin Huang, Johan A.K. Suykens: Robust Support Vector Machines for Classification with Non-convex and Smooth Losses, Neural Computation, 28(1): 1217-1247, 2016
[6] Qinghua Tao, Xiaolin Huang, Shuning Wang, Xiangming Xi, Li Li: Multiple Gaussian Graphical Estimation with Jointly Sparse Penalty, Signal Processing, 128(1): 88-97, 2016
[7] Enmei Tu,Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov: A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Clas, Information Sciences, 367: 673-688, 2016
[8] Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang: Multi-Modal Curriculum Learning for Semi-Supervised Image Classification, IEEE Transactions on Image Processing, 25(7): 3249-3260, 2016
[9] Fanghui Liu, Tao Zhou, Jie Yang: Geometric Affine Transformation Estimation via Correlation Filter for Visual Tracking, Neurocomputing, 214: 109-120, 2016
[10] Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang: Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction, Neurocomputing, 175: 336-347, 2016
[11] Yun Gu, Haoyang Xue, Jie Yang: Cross-Modal Saliency Correlation for Image Annotation, Neural Processing Letter, : 1-13, 2016
[12] Peng-Peng Zhang, Yu Qiao, Sheng-Zheng Wang, Jie Yang: Reference-omitted affine soft correspondence algorithm, IET Image Processing, 10(8): 571-581, 2016
[13] Wang, Shengzheng, Tao, Dacheng, Yang, Jie: Relative Attribute SVM plus Learning for Age Estimation, IEEE Transactions on Cybernetics , 46(3): 827-839, 2016
[14] Zhang, Tao, Jia, Wenjing, Zhu, Yuemin, Yang Jie: Automatic tracking of neural stem cells in sequential digital images, Biocybernetics and Biomedical Engineering , 36(1): 66-75, 2016
[15] Kasabov, Nikola, Scott, Nathan Matthew, Tu, Enmei: Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications, Neural Networks, 78: 1-14, 2016
[16] Ge, Chenjie, Fu, Keren, Liu, Fanghui , Li Bai, Jie Yang: Co-saliency detection via inter and intra saliency propagation, Signal Processing: Image Communication , 44: 69-83, 2016
[17] Zhang, Tao, Yang, Zhijie, Jia, Wenjing: A new method for violence detection in surveillance scenes, Multimedia Tools and Applications, 75(12): 7327-7349, 2016
[18] Jiang, He, Yang, Jie: In-place similarity and its applications in image and video detail enhancement, Electronics Letters, 52(12): 1022-1023, 2016
[19] Liu, Rui, Jia, Zhenhong, Qin, Xizhong, Yang,Jie: SAR Image Change Detection Method Based on Pulse-Coupled Neural Network, Journal of the Indian Society of Remote Sensing , 44(3): 443-450, 2016
[20] Long, Wei , Chen, Xiaogang, Yang, Jie: Adaptive bound-constrained image deblurring with learned ringing suppression, Multimedia Tools and Applications, 75(18): 11327-11346, 2016
[21] Liu, Wei, Chen, Xiaogang, Wu, Qiang, Yang, Jie: Fast robust detection of edges in noisy depth images, Journal of Electronic Imaging, 25(5): 0-0, 2016
[22] Liu, Fanghui, Zhou, Tao, Fu, Keren, *Yang, Jie: Robust visual tracking via constrained correlation filter coding, Pattern Recognition, 84: 163-169, 2016
2015年期刊论文
[1] Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Sequential Minimal Optimization for SVM with Pinball Loss, Neurocomputing, 149(1): 1596-1603, 2015
[2] Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan A.K. Suykens: Two-level l1 Minimization for Compressed Sensing, Signal Processing, 108(1): 459-475, 2015
[3] Li Li, Xiaolin Huang, Johan A.K. Suykens: Signal Recovery for Jointly Sparse Vectors with Different Sensing Matrices, Signal Processing, 108(1): 451-458, 2015
[4] Yunlong Feng, Xiaolin Huang, Yuning Yang, Johan A.K. Suykens: Learning with the Maximum Correntropy Criterion Induced Losses for Regression, Journal of Machine Learning Research, 16(1): 993-1034, 2015
[5] Xiaolin Huang, Lei Shi, Ming Yan: Nonconvex Sorted l1 Minimization for Sparse Approximation, Journal of Operations Research Society of China, 3(2): 207-229, 2015
[6] Chao Shang, Xiaolin Huang, Johan A.K. Suykens, Dexian Huang: Enhancing Dynamic Soft Sensors based on DPLS: a Temporal Smoothness Regularization Approach, Journal of Process Control, 28(1): 17-26, 2015
[7] Chao Shang, Fan Yang, Xiaoyong Gao, Xiaolin Huang, Johan A.K. Suykens, Dexian Huang: Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies with Slow Feature Analysis, AIChE Journal, 61(11): 3666-3682, 2015
[8] Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang: Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging, IEEE Transactions on Image Processing, 24(12): 5671-5683, 2015
[9] Chen Gong, Dacheng Tao, Tongliang Liu, Keren Fu, Enmei Tu, Jie Yang: Deformed Graph Laplacian for Semi-supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, 26(10): 2261-2274, 2015
[10] Chen Gong, Dacheng Tao, Keren Fu, Jie Yang: Fick’s Law Assisted Propagation for Semi-Supervised Learning, IEEE Transactions on Neural Networks and Learning Systems, 26(9): 2148-2162, 2015
[11] Shengzheng Wang, Jie Yang: A Probabilistic Model for Latent Least Squares Regression, Neurocomputing, 149: 1155-1161, 2015
[12] Enmei Tu, Jie Yang, Nicola Kasabov, Yaqian Zhang: Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples, Neurocomputing, 157: 173-186, 2015
[13] Tao Zhou,Xiangjian He,Kai Xie,Keren Fu,Junhao Zhang,Jie Yang: Robust visual tracking via efficient manifold ranking with low-dimensional compressive features, Pattern Recognition, 48(8): 2459-2473, 2015
[14] Yijun Li,Keren Fu,Zhi Liu,Jie Yang: Efficient Saliency-Model-Guided Co-saliency Detection, IEEE Signal Processing Letters, 22(5): 588-592, 2015
[15] Yipeng Song, Jie Yang, Lei Zhou, Yuemin Zhu: Electric Field Based Transfer Functions for Volume Visualization, Journal of Medical and Biological Engineering, 35: 270-277, 2015
[16] Song, Yipeng , Yang, Jie, Qiao, Yu, Zhu, Yuemin: Volume visualization based on the intensity and SUSAN transfer function spaces, Biomedical Signal Processing and Control, 18(1): 110-117, 2015
[17] Chen, Xiaogang, Kang, Sing Bing, Yang, Jie: Fast Edge-Aware Denoising by Approximated Patch Geodesic Paths, IEEE Transactions on Circuits and Systems for Video Technology, 25: 897-909, 2015
[18] Tao Zhou, Jie YANG, Artur Loza, Mohammed Al-Mualla, Harish BhaskarA: Crowd Modelling Framework using Fast Head Detection and Shape-Aware Matching, Journal of Electronic Imaging, 24(2): 0-0, 2015
[19] Tao Zhou, Kai Xie, Junhao Zhang, Jie YANG, Xiang-jian (Sean) He: Robust object tracking based on weighted subspace reconstruction error with forward-backward tracking criterion, Journal of Electronic Imaging, 24(3): 0-0, 2015
[20] Lei Zhou, Yijun Li, Rocky Zhou, Yu Qiao, Jie YANG, YongHui Gao: On Feature-Specific Parameters Learning in CRF-based Approach for Interactive Object Segmentation, Journal of Electronic Imaging, : 0-0, 2015
[21] Wang, Shengzheng, Yang, Jie: Learning to transfer privileged ranking attribute for object classification, Journal of Information and Computational Science, 12(1): 367-380, 2015
[22] Xie, Kai , Zhou, Tao, Qiao, Yu, Ge, Chenjie, Yang, Jie: Learning to detect small target: A local kernel method, Infrared Physics and Technology, 69: 7-12, 2015
[23] Wang, Jing-Jing , Jia, Zhen-Hong, Qin, Xi-Zhong, Yang, Jie, Kasabov, Nikola: Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast, International Journal of Imaging Systems and Technology, 25(1): 7-14, 2015
[24] Liu, Lu , Jia, Zhenhong, Yang, Jie, Kasabov, Nikola: A medical image enhancement method using adaptive thresholding in NSCT domain combined unsharp masking, International Journal of Imaging Systems and Technology, 25(3): 199-205, 2015
2014年期刊论文
[1] Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Asymmetric Least Squares Support Vector Machine, Computational Statistics and Data Analysis, 70(1): 395-405, 2014
[2] Lei Shi, Xiaolin Huang, Zhen Tian, Johan A.K. Suykens: Quantile Regression with l1-regularization and Gaussian Kernels, Advances in Computational Mathematics,, 40(2): 517-551, 2014
[3] Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Support Vector Machine Classifier with Pinball Loss, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(5): 984-997, 2014
[4] Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Ramp Loss Linear Programming Support Vector Machine, Journal of Machine Learning Research, 15(1): 2185-2211, 2014
[5] Xiaolin Huang, Lei Shi, Kristiann Pelckmans, Johan A.K. Suykens: Suykens: Asymmetric nu-tube Support Vector Regression, Computational Statistics and Data Analysis, 77(1): 371-382, 2014
[6] Siamak Mehrkanoon, Xiaolin Huang, Johan A.K. Suykens: Non-parallel Support Vector Classifiers with Different Loss Functions, Neurocomputing, 143(1): 294-301, 2014
[7] Zhonglong Zheng, Mudi Yu, Jiong Jia, Huawen Liu, Daohong Xiang, Xiaoqiao Huang, Jie Yang: Fisher Discrimination based Low Rank Matrix Recovery for Face Recognition, Pattern Recognition, 47(11): 3502-3511, 2014
[8] Enmei Tu, Longbing Cao, Jie Yang, Nicola Kasabov: A Novel Graph-based k-Means for Nonlinear Manifold Clustering and Representative Selection, Neurocomputing, 143: 109-122, 2014
[9] Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang: Semi-supervised classification with pairwise constraints, Neurocomputing, 139: 130-137, 2014
[10] Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He: Scalable Semi-Supervised Classification via Neumann Series, Neural Processing Letter, 42(1): 187-197, 2014
[11] Gong, Chen , Fu, Keren, Loza, Artur, Wu, Qiang, Liu, Jia, Yang, Jie: PageRank tracker: From ranking to tracking, IEEE Transactions on Cybernetics , 44(6): 882-893, 2014
[12] Zhu, Lin, Cao, Longbing, Yang, Jie: Evolving soft subspace clustering, APPLIED SOFT COMPUTING, APPLIED SOFT COMPUTING, 14: 210-228, 2014
[13] Kai Xie, Keren Fu, Tao Zhou, Junhao Zhang, Jie Yang, Qiang Wu: Small target detection based on accumulated center-surround difference measure, Infrared Physics & Technology, 67: 229-236, 2014
[14] Lei Zhou, Yu Qiao, Yijun Li, Xiangjian He and Jie Yang: Interactive Segmentation Based on Iterative Learning for Multiple-Feature Fusion., Neurocomputing volume, 135: 240-252, 2014
[15] Lei Zhou, Keren Fu, Yijun Li, Yu Qiao, Xiangjian He and Jie Yang: Bayesian Salient Object Detection Based on Saliency Driven Clustering, Image Communication, 29(3): 424-447, 2014
[16] Zhang, Tao, Yang, Zhijie, Jia, Wenjing, Wu, Qiang, Yang, Jie, He, Xiangjian: Fast and robust head detection with arbitrary pose and occlusion, Multimedia Tools and Applications, 74(21): 9365-9385, 2014
[17] Pu, Xiaoting, Jia, Zhenhong, Wang, Liejun,Yang Jie: The remote sensing image enhancement based on nonsubsampled contourlet transform and unsharp masking, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 26(3): 742-747, 2014
[18] Dong Xiao-Jie, Liu Er-Qi, Yang Jie: Visible and infrared automatic image registration based on SLER , Journal of Infrared and Millimeter Waves, 33(1): 90-97, 2014
[19] Ding, Y.,Ward, W. O. C.,Waesterlid, T.,Gowland, P. A.,Peters, A. M.,Yang, J.,Bai,L.: Three-dimensional vessel segmentation using a novel combinatory filter framework,Physics in Medicine and Biology, Physics in Medicine and Biology, 59(22): 7013-7029, 2014
[20] Huang, Qiao , Yang, Jie: Person re-identification with local descriptors across multicameras, Computer Animation and Virtual Worlds, 25: 543-551, 2014
[21] Huang, Qiao, Yang, Jie: A multistage target tracker in IR image sequences, Infrared Physics and Technology, 65: 122-128, 2014
[22] Huang, Yan , Fu, Keren, Yao, Lixiu, Wu, Qiang, Yang, Jie: Saliency detection based on spread pattern and manifold ranking, Communications in Computer and Information Science, 483: 283-292, 2014
2013年期刊论文
[1] Xiaolin Huang, Siamak Mehrkanoon, Johan A.K. Suykens: Support Vector Machines with Piecewise Linear Feature Mapping, Neurocomputing, 117(1): 118-127, 2013
[2] Xiaolin Huang, Marin Matijiaš, Johan A.K. Suykens: Hinging Hyperplanes for Time-Series Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 24(8): 1279 -1291, 2013
[3] Fanglin Chen, Xiaolin Huang, Jie Zhou: Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification, IEEE Transactions on Image Processing, 22(12): 4964-4971, 2013
[4] Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li and Jie Yang: Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(10): 2498-2512, 2013
[5] Chen Gong, Keren Fu, Enmei Tu, Jie Yang and Xiangjian He: Robust Object Tracking Using Linear Neighborhood Propagation, Journal of Electronic Imaging, Journal of Electronic Imaging, 22(1): 0-0, 2013
[6] Keren Fu, Chen Gong, Jie Yang, Yue Zhou and Irene Yu-Hua Gu: Superpixel based color contrast and color distribution driven salient object detection, Signal Processing: Image Communication , 28(10): 1448-1463, 2013
[7] Miaohui Zhang, Ming Xin and Jie Yang: Adaptive multi-cue based particle swarm optimization guided particle filter tracking in infrared videos, Neurocomputing, 122: 163-171, 2013
[8] Enmei Tu, Jie Yang, Jiangxiong Fang, Zhenghong Jia and Nikola Kasabov: An experimental comparison of semi-supervised learning algorithms for multispectral image classification, Photogrammetric Engineering and Remote Sensing, 79(4): 347-357, 2013
[9] K. Fu, C. Gong, Y. Qiao, J. Yang et al.: One-class support vector machine-assisted robust tracking, Journal of Electronic Imaging, 22(2): 2300223002, 2013
[10] Ruo Du, Qiang Wu, Xiangjian He and Jie Yang: MIL-SKDE: Multiple-Instance Learning with Supervised Kernel Density Estimation, Signal Processing, 93(6): 1471-1484, 2013
[11] Yonghui Gao, Shengzheng Wang and Jie Yang: Non-local enhancement of electronic portal imaging with tensor texture descriptors, Electronics Letters, 49(14): 868-, 2013
[12] Xiaojie Dong, Erqi Liu, Jie Yang and Qiang Wu: MEGH: A new affine invariant descriptor, KSII Transactions on Internet and Information Systems, KSII Transactions on Internet and Information Systems, 7(7): 1690-1704, 2013
[13] Deying Feng, Jie Yang and Cheng Yang: Image Retrieval with Scale Invariant Visual Phrases, IEICE Transaction on Information and Systems, 96(5): 1063-1067, 2013
2012年期刊论文
[1] Xiaolin Huang, Jun Xu, Shuning Wang: Identification Algorithm with Continuous Piecewise Linear Neural Network, Neurocomputing, 77(1): 167-177, 2012
[2] Xiaolin Huang, Jun Xu, Xiaomu Mu, Shuning Wang: The Hill Detouring Method for Minimizing Hinging Hyperplanes Functions, Computers & Operations Research, 39(7): 1763-1770, 2012
[3] Xiaolin Huang, Jun Xu, Shuning Wang, Chunhui Xu: Minimization of the k-th Maximum and its Application on LMS Regression and VaR Optimization, Journal of the Operational Research Society, 63(1): 1479-1491, 2012
[4] Xiaolin Huang, Jun Xu, Shuning Wang: Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming, Journal of Optimization Theory and Applications, 155(1): 145-164, 2012
[5] Jun Xu, Xiaolin Huang, Shuning Wang: Model Predictive Control Based on Adaptive Hinging Hyperplanes Model, Journal of Process Control, 22(10): 1821-1831, 2012
[6] Jia-jia Zhao, Zheng-yuan Tang and Jie Yang: Clutter suppression based on adaptive subspace reconstruction, Journal of Infrared and Millimeter Waves, 31(1): 47-51, 2012
[7] Miaohui Zhang, Ming Xin and Jie Yang: Adaptive multi-feature tracking in particle swarm optimization based particle filter framework, Journal of System Engineering and Electronics, 23(5): 775-783, 2012
[8] Xiaogang Chen, Jie Yang, Qiang Wu, Jiajia Zhao and Xiangjian He: Directional high-pass filter for blurry image analysis, Signal Processing: Image Communication , 27(7): 760-771, 2012
[9] Jia Liu and Jie Yang: Action recognition using spatiotemporal features and hybrid generative/discriminative models, Journal of Electronic Imaging, 21(2): 0-0, 2012
[10] Jia Liu, Xiaonian Wang, Tianyu Li and Jie Yang: Spatio-temporal Semantic Features for Human Action Recognition, KSII Transactions on Internet and Information Systems, 6(10): 2632-2649, 2012
2011年期刊论文
[1] Jingqin Lv, Jnigxiong Fang and Jie Yang: Online two-stage association method for robust multiple people tracking, Optical Engineering, 50(7): 0-0, 2011
[2] Jiajia Zhao, Zhengyuan Tang and Jie Yang: Infrared small target detection using sparse representation, Journal of System Engineering and Electronics, 22(6): 897-904, 2011
[3] Congxin Liu, Jie Yang and Hai Huang: P-SURF: A robust local image descriptor, Journal of Information Science and Engineering, 27(6): 2001-2015, 2011
[4] Jiang-xiong Fang, En-mei Tu and Jie Yang: Narrow Band Multi-Region Level Set Method for Remote Sensing Image, Spectroscopy and Spectral Analysis, 31(11): 3001-3005, 2011
[5] Jiangxiong Fang, Jie Yang and Enmei Tu: Multilayer level set method for multiregion image segmentation, Optical Engineering, 50(6): 0-0, 2011
[6] Jianxiong Fang, Jie Yang and Enmei Tu: Efficient multiresolution level set image segmentation with multiple regions, Optical Engineering, 50(6): 0-0, 2011
[7] T. Wang and J. Yang: Prediction of membrane protein types using maximum variance projection, International Journal of General Systems, 40(4): 427-438, 2011
[8] J. J. Zhao, Z. Y. Tang, J. Yang et al.: Infrared small target detection based on image sparse representation, Journal of Infrared and Millimeter Waves, 30(2): 156-, 2011
[9] Lv Guo, Yin Li, Jie Yang and Li Lu: Hole-filling by rank sparsity tensor decomposition for medical imaging, IEICE Transaction on Information and Systems, 94(2): 396-399, 2011
[10] Y. H. Gao, J. Yang and L. Guo: Nonlocal oriented method for image denoising, Optical Engineering, 50(3): 0-0, 2011
[11] Yonghui Gao, Jie Yang, et al: Efficient cellular automaton segmentation supervised by pyramid on medical volumetric data and real time implementation with graphics processing unit, Expert Systems with Applications, 38(6): 6866-6871, 2011
[12] Miaohui Zhang, Jingqin Lv and Jie Yang: Human detection using relational color similarity features, Optical Engineering, 50(9): 097201, 2011
[13] Z. L. Zheng, L. Guo, J. Jia, C. M. Xie, W. C. Zeng and J. Yang: Compressed Learning and Its Applications to Subcellular Localization, Protein and Peptide Letters, 18(9): 925-934, 2011
[14] Jiangxiong Fang, Jie Yang and Huaxiang Liu: Efficient and robust fragments-based multiple kernels track, AEU-International Journal of Electronics and Communications, 65(11): 915-923, 2011
[15] Jiangxiong Fang and Jie Yang: Statistical approaches to automatic level set image segmentation with multiple regions, Optical Engineering, 50(10): 0-0, 2011
[16] Zhonglong Zheng and Jie Yang: Exemplar Based Laplacian Discriminant Projection, Expert Systems with Applications, 38(1): 1061-1065, 2011
2010年期刊论文
[1] Shuning Wang, Xiaolin Huang, Yam Yeung: A Neural Network of Smooth Hinge Functions, IEEE Transactions on Neural Networks, 21(9): 1381-1395, 2010
[2] Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang, Dacheng Tao: Discriminative Orthogonal Neighborhood Preserving Projections for Classification, IEEE Transactions on Systems, Man and Cybernetics, Part B, 40(1): 253-263, 2010
[3] Tong Wang and Jie Yang: Predicting Subcellular Localization of Gram-Negative Bacterial Proteins by Linear Dimensionality Reduction Method, Protein and Peptide Letters, 17(1): 32-37, 2010
[4] Shengzheng Wang, Jie Yang, and James C. Gee: Advances in collision detection and non-linear finite mixed element modelling for improved soft tissue simulation in cranio-maxillofacial surgical planning, The International Journal of Medical Robotics and Computer Assisted Surgery, John Wiley & Sons, : 28-41, 2010
[5] Kun Liu and Jie Yang: Online recognition of people recurrences with bag-of-features representation and automatic new-class labeling, Optical Engineering, 49(1): 017203, 2010
[6] Yi Zhang, Jie Yang and Kun Liu: Unusual event detection and prediction based on sectional contextual edit distance, Journal of Electronic Imaging, 19(1): 013009, 2010
[7] Lin Zhu, Jie Yang, Jiang-Ning Song, Kuo-Chen Chou, Hong-Bin Shen: Improving the Accuracy of Predicting Disulfide Connectivity by Feature Selection, Journal of Computational Chemistry, John Wiley & Sons, 31(7): 1478-1485, 2010
[8] Fanglin Wang, Shengyang Yu, Jie Yang: Robust and efficient fragments-based tracking using mean shift, AEU-International Journal of Electronics and Communications, 64(7): 614-623, 2010
[9] Jiangxiong Fang, Jie Yang, Huaxiang Liu, Jingqing Lv and Yue Zhou: Robust fragments-based tracking with adaptive feature selection, Optical Engineering, 49(8): 087201, 2010
[10] Tong Wang and Jie Yang: A heuristic method for learning Bayesian networks using discrete particle swarm optimization, Knowledge And Information Systems, 24(2): 269-281, 2010
[11] Zhonglong Zheng, Xueping Chang and Jie Yang: Laplacian Min Max Discriminant Projection and its Applications, Journal of Research and Practice in Information Technology, 42(1): 3-14, 2010
[12] C.X. Liu, Jie Yang, D.Y. Feng: PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval, KSII Transactions on Internet and Information Systems, 4(3): 305-323, 2010
[13] Zhonglong Zheng and Jie Yang: Subcellular Localization of Gram-Negative Bacterial Proteins Using Sparse Learning, The Protein Journal, Springer, 29(3): 195-203, 2010
[14] Shengzheng Wang and Jie Yang: Simulating cranio-maxillofacial surgery based on mixed-element biomechanical modelling, Computer Methods in Biomechanics and Biomedical Engineering, 13(3): 419-429, 2010
[15] Lv Guo, Yin Li, Jie Yang, and Li Lu: Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation, IEICE Transactions on Information and Systems, 93(11): 3144-3148, 2010
2009年期刊论文
[1] Jun Xu, Xiaolin Huang, Shuning Wang: Adaptive Hinging Hyperplanes and its Applications in Dynamic System Identification, Automatica, 45(10): 2325-2332, 2009
[2] Tianhao Zhang, Dacheng Tao, Xuelong Li and Jie Yang: Patch Alignment for Dimension Reduction, IEEE Transactions on Knowledge and Data Engineering, 21(9): 1299-1313, 2009
[3] Xiang Zhang and Jie Yang: The analysis of the color similarity problem in moving object detection, Signal Processing, 89(4): 685-691, 2009
[4] Xiang Zhang and Jie Yang: Moving object detection based on shape prediction, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 26(2): 342-349, 2009
[5] Feng Shi, Jie Yang, Yue-Min Zhu: Automatic segmentation of bladder in CT image, Journal of Zhejiang University: Science A, 10(2): 239-246, 2009
[6] Feng Shi, Jie Yang: Live-wire-based image segmentation with embedded edge confidence, Optical Engineering, 48: 0-0, 2009
[7] Yunfeng Xue, Yujia Wang, and Jie Yang: Independent component analysis based on gradient equation and kernel density estimation, Neurocomputing, 72: 1597-1604, 2009
[8] Hongxin Qin, Jie Yang: A Feature‐Preserving Filtering Algorithm for Point Sets and Surface Attributes Based on Robust Statistics, Journal of Information Science and Engineering, 25(4): 1135-1146, 2009
[9] X. Zhang, J. Yang: A novel algorithm to segment foreground from a similarly colored background, AEU-International Journal of Electronics and Communications, 63: 831-840, 2009
[10] T. Wang, J. Yang: Using the nonlinear dimensionality reduction method for the prediction of subcellular localization of Gram-negative bacterial proteins, Molecular Diversity, 13: 475-481, 2009
[11] Du Chunhu, Jie Yang, Qiang Wu, Tianhao Zhang: Face recognition using message passing based clustering method, Journal of Visual Communication and Image Representation, 20(8): 608-613, 2009
[12] L. Zhu, Jie Yang, Hongbin Shen: Multi Label Learning for Prediction of Human Protein Subcellular Localizations, Protein Journal, 28: 384-390, 2009
[13] F. Shi, J. Yang: Multiscale vesselness based bilateral filter for blood vessel enhancement, Electronics Letters, 45: 1152-1153, 2009
[14] Xiang Zhang, Jie Yang, Zhi Liu: Performance evaluation of foreground modeling in moving foreground segmentation, Optical Engineering, 48(3): 0-0, 2009
[15] X. Zhang, J. Yang, Z. Liu: Foreground segmentation based on tracking, Optical Engineering, 48: 0-0, 2009
[16] Yunfeng Xue, Feng Ju, Yujia Wang, Jie Yang: A source adaptive independent component analysis algorithm through solving the estimating equation, Expert Systems with Applications, 36(10): 1230612313, 2009
2008年期刊论文
[1] Shuning Wang, Xiaolin Huang, Khan M. Junaid: Configuration of Continuous Piecewise Linear Neural Networks, IEEE Transactions on Neural Networks, 19(8): 1431-1445, 2008
[2] Jie Yang, Xufeng Ling, Yitan Zhu and Zhonglong Zheng: A face detection and recognition system in color image series, Mathematics and Computers in Simulation, 77: 531-539, 2008
[3] X. J. Liu, J. Yang, and HB. Shen: Automatic image registration by local descriptors in remote sensing, Optical Engineering, 47(8): 087206, 2008
[4] Mohammed Al-Rawi and Jie Yang: Using Gabor filter for the illumination invariant recognition of color texture, Mathematics and Computers in Simulation, 77: 550-555, 2008
[5] Hongxin Qin, Jie Yang and YM. Zhu: A novel meshless anisotropic diffusion model for point set processing, Optical Engineering, 47(4): 047005, 2008
[6] Xiaochao Yang, Yue Zhou, Tianhao Zhang, Guang Shu and Jie Yang: Gait recognition based on dynamic region analysis, Signal Processing, 88(9): 2350-2356, 2008
[7] Y. Zhang, J. Yang, and K. Liu: Self-detection of optical contamination or occlusion in vehicle vision systems, Optical Engineering, 47(6): 0-0, 2008
[8] Qinghua Huang, Jie Yang and Yue Zhou: Bayesian nonstationary source separation, Neurocomputing, 71: 1714-1729, 2008
[9] X. Zhang and J. Yang: Foreground segmentation based on selective foreground model, Electronics Letters, 44(14): 851-874, 2008
[10] ZL Zheng, H. Hong, Chunjiang DM and J. Yang: Facial feature localization based on an improved active shape model, Information Sciences, 178(9): 2215-2223, 2008
[11] C. Du, J. Yang, Q. Wu, et al: Locality preserving projections plus affinity propagation: a fast method for face recognition, Optical Engineering, 47(4): 040501, 2008
[12] QH Huang, J. Yang, YF Xue, et al: Temporally correlated source separation based on variational Kalman smoother, Digital Signal Processing, 18(3): 422-433, 2008
[13] X. Yang, Y. Zhou: Gabor phase based gait recognition, Electronics Letters, 44(10): 620-621, 2008
[14] K. Xie, J. Yang and YM. Zhu: Real-time visualization of large volume datasets on standard PC hardware, Computer Methods and Programs in Biomedicine, 90(2): 117-123, 2008
[15] T. Wang, J. Yang, HB. Shen, et al: Predicting membrane protein types by the LLDA algorithm, Protein and Peptide Letters, 15: 915-921, 2008
[16] Hongxin Qin, and Jie Yang: Nonuniform Bilateral filtering for Point Sets and Surface Attributes, The Visual Computer, 24(12): 1067-1074, 2008
[17] SY. Yu, Y. Zhang, XN. Mao and J. Yang: Accurate extraction of infrared target based on graph cut, Electronics Letters, 27(1): 100-102, 2008
[18] RM Liu, EQ. Liu, J. Yang, et al: Detect infrared point targets based on kernel Fukunaga-Koontz transform, Journal of Infrared and Millimeter Waves, 27(1): 0-0, 2008
[19] Tianhao Zhang, Xuelong Li, Dacheng Tao, Jie Yang: Multimodal biometrics using geometry preserving projections, Pattern Recognition, 41: 805-813, 2008
[20] Tianhao Zhang, Xuelong Li, Dacheng Tao, Jie Yang: Local Coordinates Alignment (LCA): A Novel Method for Manifold Learning, International Journal of Pattern Recognition and Artificial Intelligence, 22(4): 667-690, 2008
[21] Yuan Cao, Ruiming Liu, and Jie Yang: Small target detection using two-dimensional least mean square (TDLMS) filter based on neighborhood analysis, Journal of Infrared and Millimeter Waves, 29: 188-200, 2008
[22] Yuan Cao, Ruiming Liu, and Jie Yang: Infrared small target detection using PPCA, International Journal of Infrared and Millimeter Waves, Journal of Infrared and Millimeter Waves, 29(4): 385-395, 2008
[23] SQ Wang, X. Chen, NJ Chen, Jie Yang: Mobile-Agent-Based Distributed Decision Tree Classification in Wireless Sensor Networks, Journal of Information Science and Engineering, 24(6): 1787-1798, 2008

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