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2021年期刊论文
[1] 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, 43(3): 1100-1109, 2021
[2] Shuqing Chen, Xia Zhong, Sabrina Dorn, Nishant Ravikumar, Qinghua Tao, Xiaolin Huang, Michael Lell, Marc Kachelriess, Andreas Maier: Improving Generalization Capability of Multi-Organ Segmentation Models Using Dual-Energy CT, IEEE Transactions on Radiation and Plasma Medical Sciences, 10.1109/TRPMS.2021.3055199, 2021
[3] Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-zhong Yang: Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT, IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2021.3062280, 2021
[4] Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens: Analysis of regularized least-squares in reproducing kernel Kreĭn spaces, Machine Learning, 1-29, 2021
2021年会议论文
[1] Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A.K. Suykens: Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures, in proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), online, pp. 388-396, 2021
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] 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
[6] Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang: Mixed-Precision Quantized Neural Networks with Progressively Decreasing Bitwidth, Pattern Recognition, (111): 107647, 2020
[7] 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
[8] 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
[9] Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang: Universal Adversarial Attack on Attention and the Resulting Dataset DamageNet, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-12, 2020
2020年会议论文
[1] Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A.K. Suykens: Random Fourier Features via Fast Surrogate Leverage Weighted Sampling, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1-10, 2020
[2] Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Ian Reid: A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1-8, 2020
[3] Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu: Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), https://miccai2020.org/en/, pp. 221--231, 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] 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
[5] 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
[6] 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
[7] 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
[8] 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
2019年会议论文
[1] Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang: AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, pp. 1, 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] Siamak Mehrkanoon, Xiaolin Huang, Johan A.K. Suykens: Indefinite Kernel Spectral Learning, Pattern Recognition, 78: 144-153, 2018
[7] Xiaolin Huang, Ming Yan: Nonconvex Penalties with Analytical Solutions for One-bit Compressive Sensing, Signal Processing, 144: 341-351, 2018
[8] 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
[9] 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
[10] 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
2018年会议论文
[1] Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li: Nonlinear Pairwise Layer and its Training for Kernel Learning, in proceedings of AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, pp. 3659-3666, 2018
[2] Daniel Stromer, Vincent Christlein, Andreas Maier, Patrick Zippert, Eric Helmecke, Tino Hausotte, Xiaolin Huang: Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls, in proceedings of International Workshop on Document Analysis Systems (DAS), Vienna, Austria, pp. 55-60, 2018
[3] Xiang Li,Chao Ma,Jie Yang,Xiaolin Huang: Discrete Locally-Linear Preserving Hashing, in proceedings of IEEE International Conference on Image Processing (ICIP), Athens, Greece, pp. 409-494, 2018
[4] Sanli Tang, Haoyuan Chi, Jie Yang, Masoumeh Zareapoor, Xiaolin Huang: Deep Supervised Auto-encoder Hashing For Image Retrieval, in proceedings of Pattern Recognition and Computer Vision, Guang Zhou, China, pp. 0, 2018
[5] Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang: Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection, in proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, pp. 876-884, 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] 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
[4] 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
[5] Chao Shang, Xiaolin Huang, Fengqi You: Data-driven Robust Optimization based on Kernel Learning, Computers & Chemical Engineering, 106: 464-479, 2017
[6] Qinghua Tao, Xiaolin Huang, Shuning Wang, Li Li: Adaptive Block Coordinate DIRECT Algorithm, Journal of Global Optimization, 69(4): 797-822, 2017
[7] 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
[8] 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
2017年会议论文
[1] Fanghui Liu, Xiaolin Huang, Jie Yang: Indefinite Kernel Logistic Regression, in proceedings of ACM on Multimedia Conference (ACM MM), Mountain View, CA, USA, pp. 846-857, 2017
[2] Haiyan Yang, Xiaolin Huang, Cheng Peng, Jie Yang, Li Li: A New Bayesian Method for Jointly Sparse Signal Recovery, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 886-894, 2017
[3] Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov: Robust Kernel Approximation for Classification, in proceedings of International Conference on Neural Information Processing (ICONIP), Guangzhou, China, pp. 289-296, 2017
[4] Xiaolin Huang, Yan Xia, Yixing Huang, Joachim Hornegger, Jie Yang, Andreas Maier: Truncation Artifact Reduction in Cone-beam CT using Mixed One-bit Compressive Sensing, in proceedings of International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Xi'an, China, pp. 289-296, 2017
[5] Wei Xu, Haoyuan Chi, Lei Zhou, Xiaolin Huang, Jie Yang: Self-paced Least Square Semi-coupled Dictionary Learning for Person Re-identification, in proceedings of IEEE International Conference on Image Processing (ICIP), Beijing, pp. 0-0, 2017
2016年期刊论文
[1] 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
[2] 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
[3] 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
[4] 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
[5] 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
2016年会议论文
[1] Yixing Huang, Oliver Taubmann, Xiaolin Huang, Victor Haase, Geunter Lauritsch, Andreas Maier: A New Weighted Anisotropic Total Variation Algorithm for Limited Angle Tomography, in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech , pp. 585--588, 2016
[2] Yixing Huang, Oliver Taubmann, Xiaolin Huang, Vicktor Haase, Guenter Lauritsch, Andreas Maier: A New Scale Space Total Variation Algorithms for Limited Angle Tomography, in proceedings of International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), Bamberg, Germany, pp. 149-152, 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
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
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
2013年会议论文
[1] Vilen Jumutc, Xiaolin Huang, Johan A.K. Suykens: Fixed-size Pegasos for Hinge and Pinball Loss SVM, in proceedings of International Joint Conference on Neural Networks (IJCNN), Dallas, TX, USA, pp. 1122-1128, 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
2012年会议论文
[1] Xiaolin Huang, Xiaomu Mu, Shuning Wang: Continuous Piecewise Linear Identification with Moderate Number of Subregions, in proceedings of IFAC Symposium on System Identification (SYSID), Brussels, Belgium, pp. 535-540, 2012
2011年会议论文
[1] Xiaolin Huang, Horim Ha, Shuning Wang: An Inequality for Single Machine Total Tardiness Problem, in proceedings of IFAC World Congress, Milano, Italy, pp. 8201-8204, 2011
[2] Jun Xu, Xiaolin Huang, Shuning Wang: Local Optimality for Hinging Hyperplanes-based Model Predictive Control, in proceedings of IFAC World Congress, Milano, Italy, pp. 5519-5524, 2011
[3] Yifei Ma, Li Li, Xiaolin Huang: Robust Support Vector Machine using Least Median Loss Penalty, in proceedings of IFAC World Congress, Milano, Italy, pp. 11208-213, 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
2010年会议论文
[1] Xiaolin Huang, Jun Xu, Shuning Wang: Operation Optimization for Centrifugal Chiller Plants using Continuous Piecewise Linear Programming, in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), Istanbul, Turkey, pp. 1121-1125, 2010
[2] Jun Xu, Xiaolin Huang, Shuning Wang: Stability Analysis of Planar Continuous Piecewise Linear Systems, in proceedings of American Control Conference (ACC), Baltimore, Maryland, USA, pp. 2505-2510, 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
2009年会议论文
[1] Jun Xu, Xiaolin Huang, Shuning Wang: Nonlinear Model Predictive Control using Adaptive Hinging Hyperplanes Model, in proceedings of IEEE Conference on Decision and Control (CDC), Shanghai, China, pp. 2598-2603, 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

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