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个人简介

王强,1975年生于沈阳,1998年哈尔滨工业大学控制科学与工程系获得学士学位。分别于2000年、2004年在哈尔滨工业大学导航、制导与控制专业获得硕士学位、博士学位。博士毕业论文评为哈尔滨工业大学第八届优秀博士学位论文。2004年破格晋职副教授。2007年评为哈工大控制科学与工程系博士生导师。2008年破格晋职教授。IEEE仪器与测量协会会员(2006~)。 参编英文专著一部《Image Fusion: Algorithms and Applications》(Elsevier,2008),撰写专著一部《相关性度量及其在图像处理中的应用》(哈尔滨工业大学出版社,2013),译著两部,发表学术论文百余篇,其中SCI收录70余篇。 先后主持国家自然科学基金项目3项,以及高等学校博士学科点专项科研基金、预研基金、航天基金等纵向基金项目10余项。完成横向科研项目10余项,国际合作研究项目2项。 2009 年 7 月-2010 年 7 月,受国家留学基金委全额资助,赴美国约翰霍普金斯大学(Johns Hopkins University)计算机系进行学术访问,与 Andreas Terzis 教授和美国微软研究院(Microsoft Research)Jie Liu高级研究员合作从事无线传感器网络方面的研究。 教育及工作经历 1994.9-1998.8 哈尔滨工业大学控制科学与工程系 本科 1998.9-2000.8 哈尔滨工业大学控制科学与工程系 硕士 2000.8-2004.12 哈尔滨工业大学控制科学与工程系 博士 2003.3-2004.7 哈尔滨工业大学控制科学与工程系 讲师 2004.8-2008.7 哈尔滨工业大学控制科学与工程系 副教授 2008.7-至今 哈尔滨工业大学控制科学与工程系 教授 2009.7-2010.7 美国Johns Hopkins University计算机系 访问教授

研究领域

人工智能、图像处理、数据融合、机器人技术及应用等

近期论文

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期刊论文: TianyouZheng,QiangWang,YueShen,XiaotianLin, Gradient rectified parameter unit of the fully connected layer in convolutional neural networks, Knowledge-Based Systems,Volume 248, 19 July 2022, 108797, DOI: 10.1016/j.knosys.2022.108797 Minghua Wang, Qiang Wang, Danfeng Hong, Swalpa Kumar Roy, Jocelyn Chanussot. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection. IEEE TRANSACTIONS ON CYBERNETICS. DOI10.1109/TCYB.2022.3175771 Yujian Wang; Dan Li; Hanjie Wu; Xiaojun Li; Fanqiang Kong; Qiang Wang, Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,DOI: 10.1109/JSTARS.2022.3170057 Wang, Minghua; Wang, Qiang; Chanussot, Jocelyn; Hong, Danfeng. Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters,2022.19, DOI:10.1109/LGRS.2021.3069895 M. E. M. Salem and Q. Wang, Dimension investigation to pneumatic network bending soft actuators for soft robotic applications, Eng. Res. Express, vol. 4, p. 15001, 2022, doi: 10.1088/2631-8695/ac45e0. M. E. M. Salem, Q. Wang, and M. H. Xu, Application of Neural Network Fitting for Modeling the Pneumatic Networks Bending Soft Actuator Behavior, Eng. Res. Express, vol. 4, no. 1, p. 15032, 2022, doi: 10.1088/2631-8695/ac58e7. Fengshuang Liu; jun fu; Qiang Wang; Rongqiang Zhao. Tensor Dictionary Self-Taught Learning Classification Method for Hyperspectral Image. Remote Sensing. 2022.14(17), 4373. DOI: 10.3390/rs14174373 Shuang Gao; Qiang Wang; Yuxiang Sun. S2G2: Semi-Supervised Semantic Bird-Eye-View Grid-Map Generation using a Monocular Camera for Autonomous Driving. IEEE Robotics and Automation Letters, Oct. 2022.7(4):11974 - 11981. DOI: 10.1109/LRA.2022.3208377 Ma, Xiang ; Wang, Qiang; Zheng, Tianyou; Yuan, Lin. A shapelet-based framework for large-scale word-level sign language database auto-construction. NEURAL COMPUTING & APPLICATIONS. NOV 2022. DOI: 10.1007/s00521-022-08018-2 Xiaotian Lin; Leiyang Xu; Songlin Zhuang; Qiang Wang. VW-SC3D: A Sparse 3D CNN-Based Spatial–Temporal Network with View Weighting for Skeleton-Based Action Recognition. Electronics, 2022, 12(1): 117, Tianyou Zheng; Qiang Wang; Yue Shen; Xiang Ma; Xiaotian Lin. Batch covariance neural network for image recognition. Image and Vision Computing, 2022, 122: 104446,DOI:10.1016/j.imavis.2022.104446 Tianyou Zheng; Qiang Wang; Yue Shen; Xiang Ma; Xiaotian Lin. High-resolution Rectified Gradient-based Visual Explanations for Weakly Supervised Segmentation. Pattern Recognition, 2022, 108724,DOI:10.1016/j.patcog.2022.108724 郑天佑; 王强.遥感场景分类的批处理协方差神经网络方法.宇航学报, 2022, 43(6): 811-819, DOI:10.3873/j.issn.1000-1328.2022.06.012 Xu, L., Wang, Q., Lin, X. et al. Skeleton-based Tai Chi action segmentation using trajectory primitives and content. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-08185-2 会议论文 Jianyin Fan; Haoran Xu; Yuwei Du; Jing Jin; Qiang Wang.Design and Control of a Muscle-skeleton Robot Elbow based on Reinforcement Learning.2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).DOI:10.23919/apsipaasc55919.2022.9980219 Hao Zheng; Qiang Wang; Jinming Ji.Navigation line extraction based on image processing for weeding robot.IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. DIO:10.1109/iecon49645.2022.9968644 Lin Yuan; Zhen He; Qiang Wang; Leiyang Xu; Xiang Ma. Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 10.1109/iecon49645.2022.9968668 Leiyang Xu; Qiang Wang; Xiaotian Lin; Lin Yuan; Xiang Ma. Temporal-spatial Feature Fusion for Few-shot Skeleton-based Action Recognition. IECON 2022– 48th Annual Conference of the IEEE Industrial Electronics Society. 10.1109/iecon49645.2022.9968781 Xiaotian Lin; Leiyang Xu; Qiang Wang.Automatic Dataset Generation for Specific Object Detection. 2022 IEEE International Conference on Image Processing (ICIP). 10.1109/icip46576.2022.9897741 Qimin Zhang; Qiang Wang. Comparison of Semantic Segmentation Methods on Renal Ultrasounds Images. 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).10.1109/i2mtc48687.2022.9806525 Yuwei Du; Jing Jin; Qiang Wang; Jianyin Fan. EMG-Based Continuous Motion Decoding of Upper Limb with Spiking Neural Network. 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). DOI:10.1109/i2mtc48687.2022.9806710 Xuan Liu; Qiang Wang. Facial Expression Recognition based on Convolutional Neural Network with Sparse Representation. ICSAI 2022 - 8th International Conference on Systems and Informatics, 2022. DOI: 10.1109/ICSAI57119.2022.10005481 Lin Yuan; Qiang Wang. SkeletonCLIP Recognizing Skeleton-based Human Actions with Text Prompts. ICSAI 2022 - 8th International Conference on Systems and Informatics, 2022. DOI: 10.1109/ICSAI57119.2022.10005459 Hongxu Ma; Qiang Wang. A Novel Ping pong Task Strategy Based on Model free Multi dimensional Q function Deep Reinforcement Learning. ICSAI 2022 - 8th International Conference on Systems and Informatics, 2022. DOI: 10.1109/ICSAI57119.2022.10005466 2021年: 期刊论文: Wang, Minghua; Wang, Qiang; Chanussot, Jocelyn; Hong, Danfeng. l0-l1 Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing. IEEE Transactions on Geoscience and Remote Sensing, 2021.59(9):7695-7710,DOI:10.1109/TGRS.2021.3055516 Wang, Minghua; Wang, Qiang; Chanussot, Jocelyn; Li, Dan. Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial Spectral Total Variation. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 2021.59(1):488-507, DOI:10.1109/TGRS.2020.2993631 Wang, Minghua; Wang, Qiang; Chanussot, Jocelyn. Tensor Low-Rank Constraint and l(0) Total Variation for Hyperspectral Image Mixed Noise Removal. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING.2021.15(3):718-733, DOI:10.1109/JSTSP.2021.3058503 Wen, Ruoshi; Wang, Qiang; Li, Zhibin. Human hand movement recognition using infinite hidden Markov model based sEMG classification.BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 2021.68:102592, DOI:10.1016/j.bspc.2021.102592 Liu, Fengshuang; Ma, Jiachen; Wang, Qiang. Atom-substituted tensor dictionary learning enhanced convolutional neural network for hyperspectral image classification. NEUROCOMPUTING. 2021.455:215-228, DOI:10.1016/j.neucom.2021.05.051 Li, Dan; Kong, Fanqiang; Wang, Qiang. Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance. SIGNAL PROCESSING. 2021.180:107865, DOI:10.1016/j.sigpro.2020.107865 Wang, Minghua; Wang, Qiang. Hypergraph-regularized sparse representation for single color image super resolution. Journal of Visual Communication and Image Representation, 2021.74:102951, DOI:10.1016/j.jvcir.2020.102951 2020年: 期刊论文: R. Q. Zhao, Q. Wang, J Fu, LQ Ren. Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A tensor-Based Bayesian Method. IEEE Transactions on image processing, vol. 29, pp. 1654-1668, 2020. DOI:10.1109/tip.2019.2944722 R. S. Wen, K. Yuan, Q. Wang, S. Heng, Z. B. Li, Force-Guided High Precision Grasping Control of Fragile and Deformable Objects Using s EMG-Based Force Prediction, IEEE Robotics and Automation Letters, vol. 5, pp. 2762-2769, Feb 2020. DOI:10.1109/LRA.2020.2974439 D. Li, Q. Wang, F. Q. Kong, Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification, Neurocomputing, vol. 400, pp. 97-112, Aug 2020. DOI:10.1016/j.neucom.2020.03.022 Li, Dan; Wang, Qiang; Kong, Fanqiang. Superpixel-feature-based multiple kernel sparse representation for hyperspectral image classification. Signal Processing, 2020, 176: 107682. DOI:10.1016/j.sigpro.2020.107682 F. S. Liu, Q. Wang, A sparse tensor-based classification method of hyperspectral image, Signal Processing, vol. 168, Mar 2020. DOI:10.1016/j.sigpro.2019.107361 会议论文: 2020 IEEE International instrumentation and Measurement Technology Conference. IEEE I2MTC 2020,May, 2020. Haoran Xu, Xiang Ma, Leiyang Xu, Qiang Wang. Training Musculoskeletal Arm Play Taichi with Deep Reinforcement Learning. DOI:10.1109/I2MTC43012.2020.9129264 Leiyang Xu, Qiang Wang, Lin Yuan, Xiang Ma. Using Trajectory Features for Tai Chi Action Recognition. DOI:10.1109/I2MTC43012.2020.9128722 Xiang Ma, Lin Yuan, Ruoshi Wen, and Qiang Wang. Sign language recognition based on concept learning. DOI:10.1109/I2MTC43012.2020.9128734 THE 15th IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS. IEEE ICIEA 2020, Nov 2020. Jianyin Fan, Jing Jin, Qiang Wang. Humanoid Muscle-Skeleton Robot Arm Design and Control Based on Reinforcement Learning. DOI:10.1109/iciea48937.2020.9248350 Hongxu Ma,Qiang Wang,Xiang Ma,Mohamed E. M. Salem. A Sign Language Interaction System Based on Pneumatic Soft Hand. DOI:10.1109/iciea48937.2020.9248247 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2020,APSIPA ASC 2020, Dec 2020. Ruoshi Wen, Qiang Wang, Xiang Ma and Zhibin Li. Human Hand Movement Recognition based on HMM with Hyperparameters Optimized by Maximum Mutual Information. Yuwei Du, Jing Jin, Yan Liu, Qiang Wang1. Classification of Seizure EEGs Based on Short-Time Fourier Transform and Hidden Markov Model. 2019年: 期刊论文: R. Q. Zhao, Q. Wang, Learning Separable Dictionaries for Sparse Tensor Representation: An Online Approach [J]. IEEE Transactions of Circuits and Systems II-Express Briefs, vol. 66, pp. 502-506, Mar 2019. DOI:10.1109/TCSII.2018.2862900 R. Q. Zhao, J. Fu, L. Q. Ren, Q. Wang, Atom-Refined Multiway Greedy Algorithem for Tensor-Based Compressive Sensing [J]. IEEE Access, vol. 7, pp. 23038-23054, 2019. DOI:10.1109/ACCESS.2019.2898669 D. Li, Z. J. Wu, Q. Wang, Edge guided compressive sensing for image reconstruction based on two-stage l(0) minimization [J], Journal of Visual Communication and Image Representation, vol. 59, pp. 461-474, Feb 2019. DOI:10.1016/j.jvcir.2019.01.025 R. Q. Zhao, J. Fu, L. Q. Ren, Q. Wang, Strategy for Accelerating Multiway Greedy Compressive Sensing Reconstruction, IEEE Signal Processing Letter, vol. 26, pp. 690-694, May 2019. DOI:10.1109/LSP.2019.2905374 Lv, Cuicui; Wang, Qiang; Yan, Wenjie; Li, Jia. Compressive sensing-based sequential data gathering in WSNs. Computer Networks, 2019, 154: 47-59. DOI:10.1016/j.comnet.2019.03.004 会议论文 Rongqiang Zhao; Qiang Wang; Xiang Ma; Zhihong Qian. Adaptive Sparse Representation for Kronecker Compressive Sensing. 2019 IEEE International Instrumentation and Measurement Technology Conference, 2019-5-20至2019-5-23. Mohamed E. M. Salem; Ruoshi Wen; Ma Hong Xu; Liu Yan; Ma Xiang; Qiang Wang. A Novel Underactuated Soft Humanoid Hand For Hand Sign Language. 2019 IEEE International Instrumentation and Measurement Technology Conference, 2019-5-20至2019-5-23. 2018年: 期刊论文: Q. Wang, Z. J. Wu, J. Jin, T. C. Wang, Y. Shen. Low rank constraint and spatial spectral total variation for hyperspectral image mixed denoising [J]. Signal Processing, vol. 142, pp. 11-26, Jan 2018. C. C. Lv, Q. Wang, W. J. Yan, J. Li. A sparsity feedback-based data gathering algorithm for Wireless Sensor Networks [J]. Computer Networks. vol. 141, pp.145-156, Aug 2018. 2017年度: Dan Li, Qiang Wang* and Yi Shen. Geometric structure based Intelligent collaborative compressive sensing for image reconstruction by L0 minimization, Neurocomputing, 2017. (SCI, IF 3.317 JCR: Q1) Zhaojun Wu, Qiang Wang*, Jing Jin and Yi Shen. Structure tensor total variation-regularized weighted nuclear norm minimization for hyperspectral image mixed denoising. Signal Processing, (131), 2017, pp. 202-219. (SCI, IF 3.110 JCR: Q1) 他引=1 Qiang Wang*, Dan Li, and Yi Shen. Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation, Neurocomputing, (224), 2017, pp. 71-81. (SCI, IF 3.317 JCR: Q1) Cuicui Lv, Qiang Wang, Wenjie Yan, Yi Shen. Diffusion Wavelet Basis Algorithm for Sparse Representation of Sensory Datain WSNs, Signal Processing, 2017, 140: 12-31. (SCI IF=3.11 JCR: Q1) 2016年度: Dan Li, Qiang Wang* and Yi Shen. Intelligent greedy pursuit model for sparse reconstruction based on L0 minimization. Signal Processing, (122), 2016, pp. 138-151. (SCI, IF 3.110 JCR: Q1) Dan Li, Qiang Wang* and Yi Shen. Multi-variable intelligent matching pursuit algorithm using prior knowledge for image reconstruction by L0 minimization, Neurocomputing, (207), 2016, pp. 548-559. (SCI, IF 3.317 JCR: Q1) Dan Li, Qiang Wang* and Yi Shen, Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based L0 minimization, Journal of Visual Communication and Image Representation, (38), 2016, pp. 316-327. (SCI, IF 2.164 JCR: Q2) Cuicui Lv, Qiang Wang, Wenjie Yan, Yi Shen. Energy-balanced compressive data gathering in Wireless Sensor Networks,JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, FEB 2016, 61:102-114(SCI,3.500 JCR:Q1). Rongqiang Zhao, Qiang Wang, Yi Shen, Jia Li. Multiatoms tensor orthogonal matching pursuit algorithm for compressive sensing-based hyperspectral image reconstruction [J]" Journal of Applied. Remote Sensing, 2016, 10(4), 045002. (SCI IF:1.107) Rongqiang Zhao, Qiang Wang, Yi Shen, Jia Li. Multidimensional dictionary learning algorithm for compressive sensing-based hyperspectral imaging [J]. Journal of Electronic Imaging, 2016; 25(6):063013. (SCI) IF:0.754 JCR: Q3 Zhaojun Wu, Qiang Wang, Zhenhua Wu, Yi Shen.Total variation-regularized weighted nuclear norm minimization for hyperspectral image mixed denoising. Journal of Electronic Imaging, 2016, 25(1). (SCI). IF:0.754 JCR: Q4 2015年度: Rongqiang Zhao, Qiang Wang, Yi Shen. Kronecker compressive sensing-based mechanism with fully independent sampling dimensions for hyperspectral imaging [J]. Journal of Electronic Imaging, 2015, 24(6), 063012. (SCI). IF:0.754 JCR: Q4 2013年度: D. Yu, X. Zhang, J. Liu, and Q. Wang, "Feature analysis and adaptive distance learning algorithm based on mdi magnetogram," ICIC Express Letters, vol. 7, pp. 2099-2104, 2013. Y. P. Liu, J. Jin, Q. Wang, and Y. Shen, "Phases measure of image sharpness based on quaternion wavelet," Pattern Recognition Letters, vol. 34, pp. 1063-1070, Jul 2013. J. Li, Q. Wang, Y. Shen, and B. Li, "Collaborative construction of measurement matrix and reconstruction algorithm in compressive sensing," Tien Tzu Hsueh Pao/Acta Electronica Sinica, vol. 41, pp. 29-34, 2013. Z. He, Q. Wang, Y. Shen, and Y. Wang, "Discrete multivariate gray model based boundary extension for bi-dimensional empirical mode decomposition," Signal Processing, vol. 93, pp. 124-138, Jan 2013. Z. He, Q. Wang, Y. Shen, J. Jin, and Y. Wang, "Multivariate Gray Model-Based BEMD for Hyperspectral Image Classification," Ieee Transactions on Instrumentation and Measurement, vol. 62, pp. 889-904, May 2013. 2012年度: Z.-H. Wang, Y. Shen, X.-L. Zhang, and Q. Wang, "Robust H filter for uncertain linear descriptor systems," Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, vol. 34, pp. 1878-1883, 2012. Z. Wang, Y. Shen, X. Zhang, and Q. Wang, "Observer design for discrete-time descriptor systems: An LMI approach," Systems and Control Letters, vol. 61, pp. 683-687, 2012. Q. Wang, W. J. Yan, and Y. Shen, "N-Person Card Game Approach for Solving SET K-COVER Problem in Wireless Sensor Networks," Ieee Transactions on Instrumentation and Measurement, vol. 61, pp. 1522-1535, May 2012. Q. Wang, Y. Liu, and Y. Shen, "A survey on extrinsic self-calibration algorithms for cameras without overlapping field of views," Zidonghua Xuebao/Acta Automatica Sinica, vol. 38, pp. 1-11, 2012. Z.-L. Tu, Q. Wang, and Y. Shen, "A distributed simultaneous optimization algorithm for tracking and monitoring of moving target in mobile sensor networks," Zidonghua Xuebao/Acta Automatica Sinica, vol. 38, pp. 452-461, 2012. Z.-L. Tu, Q. Wang, and Y. Shen, "A distributed coverage optimization algorithm for target monitoring in mobile sensor network," Kongzhi yu Juece/Control and Decision, vol. 27, pp. 1353-1358, 2012. Z. L. Tu, Q. Wang, H. R. Qi, and Y. Shen, "Flocking based sensor deployment in mobile sensor networks," Computer Communications, vol. 35, pp. 849-860, Apr 2012. Z. Tu, Q. Wang, H. Qi, and Y. Shen, "Flocking based distributed self-deployment algorithms in mobile sensor networks," Journal of Parallel and Distributed Computing, 2012. Y. Shen, Z.-L. Tu, and Q. Wang, "Distributed nonuniform deployment for target monitoring in mobile sensor networks," Journal of Harbin Institute of Technology (New Series), vol. 19, pp. 1-9, 2012. Y. P. Liu, J. Jin, Q. Wang, and Y. Shen, "Phase-preserving speckle reduction based on soft thresholding in quaternion wavelet domain," Journal of Electronic Imaging, vol. 21, Oct-Dec 2012. Z. He, Y. Shen, Q. Wang, Y. Wang, N. Feng, and L. Ma, "Mitigating end effects of EMD using non-equidistance grey model," Journal of Systems Engineering and Electronics, vol. 23, pp. 603-611, 2012. Z. He, Y. Shen, and Q. Wang, "Boundary extension for Hilbert-Huang transform inspired by gray prediction model," Signal Processing, vol. 92, pp. 685-697, Mar 2012. 2011年度: Y.-R. Lin, Q. Wang, Y.-E. Lin, and X.-Z. Liang, "Adaptive weight based hyperspectral image classification," Guangdianzi Jiguang/Journal of Optoelectronics Laser, vol. 22, pp. 935-939, 2011. Y.-R. Lin and Q. Wang, "Extracting details from images based on 1-DEMD," Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), vol. 41, pp. 1766-1770, 2011. Y. Lin and Q. Wang, "Hyperspectral image classification based on adaptive weight coefficient based on kernel method," Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, vol. 40, pp. 2535-2539, 2011. H. Chen, Q. Wang, and Y. Shen, "Decision tree support vector machine based on genetic algorithm for multi-class classification," Journal of Systems Engineering and Electronics, vol. 22, pp. 322-326, 2011. 2010年度: C. Zhu, Y. Shen, and Q. Wang, "New fast algorithm for hypercomplex decomposition and hypercomplex cross-correlation," Journal of Systems Engineering and Electronics, vol. 21, pp. 514-519, 2010. 2009年度: M. Zhang, Y. Shen, and Q. Wang, "Evaluating the performance of hyperspectral feature selection algorithm using Tsallis entropy redundancy," Guangdianzi Jiguang/Journal of Optoelectronics Laser, vol. 20, pp. 784-788, 2009. M. Zhang, Y. Shen, and Q. Wang, "Hyperspectral datum classification using kernel method based on mutual information of neighbor bands," Optoelectronics Letters, vol. 5, pp. 309-312, 2009. M. Zhang, Y. Shen, and Q. Wang, "Nonlinear correlation coefficient based kernel method for hyperspectral data classification," Guangxue Xuebao/Acta Optica Sinica, vol. 29, pp. 2607-2614, 2009. Q. Wang, H.-H. Chen, and T. Wang, "Multi-class support vector machine for fault diagnosis," Dianji yu Kongzhi Xuebao/Electric Machines and Control, vol. 13, pp. 302-306, 2009. X.-F. Li, Y. Shen, and Q. Wang, "Computer-aided diagnosis system of breast tumor ultrasound images," Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), vol. 39, pp. 770-775, 2009. 2008年度及以前: P. Wang, Y. Shen, and Q. Wang, "Gaussian wavelet based dynamic filtering (GWDF) method for medical ultrasound systems," Ultrasonics, vol. 46, pp. 168-176, 2007. J. Jin, Q. Wang, and Y. Shen, "MNCIE method for registration of ultrasound images," Journal of Harbin Institute of Technology (New Series), vol. 14, pp. 252-258, 2007. J. Jin, Q. Wang, and Y. Shen, "Registering multiple medical images using the shared chain mutual information," Chinese Optics Letters, vol. 5, pp. 389-392, 2007. J. Hao, Y. Shen, and Q. Wang, "Segmentation for MRA image: An improved level-set approach," IEEE Transactions on Instrumentation and Measurement, vol. 56, pp. 1316-1321, 2007. Q. Wang and Y. Shen, "Performance assessment of image fusion," in Advances in Image and Video Technology, Proceedings. vol. 4319, L. W. Chang and W. N. Lie, Eds., ed, 2006, pp. 373-382. B. J. Xu, Q. Wang, Y. Shen, and X. X. Liao, "Global exponential stability of delayed impulsive Hopfield type neural networks," in Advances in Neural Networks - Isnn 2005, Pt 1, Proceedings. vol. 3496, J. Wang, et al., Eds., ed, 2005, pp. 181-186. Q. Wang, Y. Shen, and J. Q. Zhang, "A nonlinear correlation measure for multivariable data set," Physica D: Nonlinear Phenomena, vol. 200, pp. 287-295, 2005. Q. Wang, Y. Shen, Y. Zhang, and J. Q. Zhang, "Fast quantitative correlation analysis and information deviation analysis for evaluating the performances of image fusion techniques," IEEE Transactions on Instrumentation and Measurement, vol. 53, pp. 1441-1447, 2004. Q. Wang, Y. Shen, Y. Zhang, and J. Q. Zhang, "A quantitative method for evaluating the performances of hyperspectral image fusion," IEEE Transactions on Instrumentation and Measurement, vol. 52, pp. 1041-1047, 2003. Q. Wang, Y. Zhang, S. Li, and Y. Shen, "The reduction of hyperspectral data dimensionality and classification based on recursive subspace fusion," Chinese Journal of Electronics, vol. 11, pp. 12-15, 2002. Q. Wang, Y. Zhang, S. Li, and Y. Shen, "Quantitative and comparative analysis of hyperspectral data fusion performance," Journal of Harbin Institute of Technology (New Series), vol. 9, pp. 234-238, 2002. 会议论文(Conference Publications) 检测技术、信号处理相关会议 M. Zhang, J. Jin, Y. Wang, Y. Zhang, Q. Wang, and Y. Shen, "Space debris detection methods utilizing hyperspectral sequence analysis based on Hilbert-Huang transformation," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 1654-1658. W. Yan, Q. Wang, Y. Shen, Y. Wang, and Q. Han, "An efficient data gathering and reconstruction method in WSNs based on compressive sensing," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 2028-2033. Z. Wu, Q. Wang, Y. Shen, and J. Liu, "Zig-zag and replacement product expander graphs for Compressive Sensing," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 1712-1717. Z. Wang, Y. Shen, X. Zhang, and Q. Wang, "Fault diagnosis based on numerical differentiation using wavelet transform," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 2722-2726. Q. Wang, W. Yan, and Y. Shen, "N-person card game approach for solving SET K-COVER problem in wireless sensor networks," in SPECIAL ISSUE ON THE 2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States, 2012, pp. 1522-1535. Q. Wang, Y. Liu, and J. Chen, "Accurate indoor tracking using a mobile phone and non-overlapping camera sensor networks," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 2022-2027. C. Wang, Q. Wang, and S. Shi, "A distributed wireless body area network for medical supervision," in 2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012, May 13, 2012 - May 16, 2012, Graz, Austria, 2012, pp. 2612-2616. Y. Shen, Z. He, Q. Wang, and Y. 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