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Minglei Li, Bin Yang, and Bin Wang*, EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, Vol.62, pp.1-16, 2024, Art. no. 5509116.
Ziyu Wu, and Bin Wang*, Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, pp. 1-15, 2024, Art. no. 5508015.
Haitao Huang, Baopu Li, Yuchen Zhang, Tao Chen, and Bin Wang*, Joint Distribution Adaptive-Alignment for Cross-Domain Segmentation of High-Resolution Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, Vol.62, pp.1-14, 2024, Art. no. 5401214.
Shiyang Feng, and Bin Wang*, PSD-SQ: Point Set Decoding Based on Semantic Query for Object Detection in Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, Vol.62, pp.1-12, 2024, Art. no. 5401412.
Chongyang Zhang, and Bin Wang*, Progressive Feature Fusion Framework Based on Graph Convolutional Network for Remote Sensing Scene Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.17, pp.3270-3284, 2024.
Minglei Li, Bin Yang, and Bin Wang*, A Coarse-to-Fine Scheme for Unsupervised Nonlinear Hyperspectral Unmixing Based on An Extended Multilinear Mixing Model, IEEE Transactions on Geoscience and Remote Sensing, Vol.61, pp.1-15, 2023.
Ziyu Wu, and Bin Wang*, Kernel-Based Decomposition Model with Total Variation and Sparsity Regularizations via Union Dictionary for Nonlinear Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-16, 2022.
Minglei Li, Bin Yang, and Bin Wang*, Spectral-Spatial Reweighted Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model, IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-17, 2022.
Yenan Gao, Jiafeng Gu, Tongkai Cheng, and Bin Wang*, Kernel-Based Nonlinear Anomaly Detection via Union Dictionary for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-15, 2022.
Jiafeng Gu, Bin Yang, and Bin Wang*, Nonlinear Unmixing for Hyperspectral Images via Kernel-Transformed Bilinear Mixing Models, IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-13, 2022.
Bo Zhang, Tao Chen, and Bin Wang*, Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation, IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-12, 2022.
Ziyu Wu, and Bin Wang*, Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection, Remote Sensing, Vol.15, No.18: 4592, pp.1-23, 2023.
Lu Hou, Bo Zhang, and Bin Wang*, PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening, IEEE Geoscience and Remote Sensing Letters, Vol.20, pp.1-5, 2023.
Jiafeng Gu, Tongkai Cheng, and Bin Wang*, Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing with Regional L1-Norm Regularization, IEEE Geoscience and Remote Sensing Letters, Vol.19, pp.1-5, 2022.
Lianwei Ma, Yuan Zhao, Bin Wang, and Feifan Shen, A Multistep Sequence-to-Sequence Model With Attention LSTM Neural Networks for Industrial Soft Sensor Application, IEEE Sensor Journal, Vol.23, No.10, pp.10801-10813, 2023.
Bo Zhang, Tao Chen, Bin Wang*, Xiaofeng Wu, Liming Zhang, and Jiayuan Fan, Densely Semantic Enhancement for Domain Adaptive Region-free Detectors, IEEE Transactions on Circuits and Systems for Video Technology, Vol.32, No.3, pp.1339-1352, 2022.
Bo Zhang, Tao Chen, Bin Wang*, and Ruoyao Li, Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection, IEEE Transactions on Multimedia, Vol.24, pp.4102-4112, 2022.
Bo Zhang, Hancheng Ye, Gang Yu, Bin Wang, Yike Wu, Jiayuan Fan, Tao Chen, Sample-centric Feature Generation for Semi-supervised Few-shot Learning, IEEE Transactions on Image Processing, Vol.31, pp.2309-2320, 2022.
Yuchen Zhang, Bo Zhang, and Bin Wang*, Few-Shot Object Detection with Self-Adaptive Global Similarity and Two-Way Foreground Stimulator in Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.15, pp. 7263-7276, 2022.
Peng Lin, Xiaofeng Wu, and Bin Wang*, Oriented Object Detection Based on Foreground Feature Enhancement in Remote Sensing Images, Remote Sensing, Vol.14, No.24: 6226, pp.1-20, 2022.
Minglei Li, Bin Yang, and Bin Wang*, Robust Nonlinear Unmixing for Hyperspectral Images Based on An Extended Multilinear Mixing Model, 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’22), pp.1780-1783, 17 - 22 July 2022, Kuala Lumpur, Malaysia.
Ziyu Wu, Bin Yang, and Bin Wang*, Kernel-Based Decomposition Model with Total Variation and Sparsity Regularization via Union Dictionary for Nonlinear Hyperspectral Anomaly Detection, 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’22), pp.3728-3731, 17-22 July 2022, Kuala Lumpur, Malaysia.
Tongkai Cheng, and Bin Wang*, Total Variation and Sparsity Regularized Decomposition Model with Union Dictionary for Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, Vol.59, No.2, pp.1472-1486, Feb. 2021.
Tongkai Cheng, and Bin Wang*, Decomposition Model with Background Dictionary Learning for Hyperspectral Target Detection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.14, pp.1872-1884, 2021.
Wandi Cai, Bo Zhang, Bin Wang*, Scale-aware Anchor-free Object Detection via Curriculum Learning for Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.14, pp.9946-9958, 2021.
Jiajia Miao, Bo Zhang, and Bin Wang*, Coarse-to-fine Joint Distribution Alignment for Cross-domain Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.14, pp.12415-12428, 2021.
Bo Zhang, Bin Wang*, Xiaofeng Wu, Liming Zhang, Minghui Yang, and Xiaowei Sun, Domain Adaptive Detection System for Concealed Objects Using Millimeter Wave Images, Neural Computing and Applications, Vol.33, No.18, pp.11573-11588, Aug. 2021.
Anshu Sha, Bin Wang*, Xiaofeng Wu, and Liming Zhang, Semisupervised Classification for Hyperspectral Images Using Graph Attention Networks, IEEE Geoscience and Remote Sensing Letters, Vol.18, No.1, pp.157-161, Jan. 2021.
Yenan Gao, Tongkai Cheng, and Bin Wang*, Nonlinear Anomaly Detection Based on Spectral-Spatial Composite Kernel for Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, Vol.18, No.7, pp.1269-1273, Jul. 2021.
李若瑶，张铂，王斌*，基于多层特征上下文编码网络的遥感图像场景分类，红外与毫米波学报，第40卷，第4期，pp.530-538，2021年8月。
何婉婷, 张铂, 王斌, 孙晓玮, 杨明辉, 吴晓峰，利用截面序列多级特征全局关联性的毫米波图像隐匿物检测（封面论文），红外与毫米波学报，第40卷，第6期，pp.738-748，2021年12月。
杨斌，王斌，光谱解混技术及其应用研究进展，激光与光电子学进展，第58卷，第16期，1600004，2021年8月。
Tongkai Cheng, and Bin Wang*, Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, Vol.58, No.1, pp.391-406, Jan. 2020.
Bin Yang, Zhao Chen, and Bin Wang, Nonlinear Endmember Identification of Hyperspectral Imagery via Hyperpath Based Simplex Growing and Fuzzy Assessment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.13, pp.351-366, Feb. 2020.
刘雨溪，张铂，王斌*，基于生成式对抗网络的遥感图像半监督语义分割，红外与毫米波学报，第39卷，第4期，pp.473-482，2020年8月。
Xueyuan Dai, Xiaofeng Wu, Bin Wang*, and Liming Zhang, Semisupervised Scene Classification for Remote Sensing Images: A Method Based on Convolutional Neural Networks and Ensemble Learning, IEEE Geoscience and Remote Sensing Letters, Vol.16, No.6, pp.869-873, June 2019.
Zehao Chen, and Bin Wang*, Hyperspectral Target Detection Based on Tensor Sparse Representation, IEEE Geoscience and Remote Sensing Letters, Vol.16, No.10, pp.1605-1609, Oct. 2019.
智通祥，杨斌，王斌*，一种考虑光谱变异性的高光谱图像非线性解混算法，红外与毫米波学报，第38卷，第1期，pp.115-124，2019年2月。
Tongkai Cheng, and Bin Wang*, Hyperspectral Anomaly Detection Based on Total Variation and Structured Dictionary, 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’19), pp.2252-2255, 27 July - 3 Aug. 2019, Yokohama, Japan.
Jiajia Miao, Bin Wang*, Xiaofeng Wu, Liming Zhang, Bo Hu, and Jian Qiu Zhang, Deep Feature Extraction Based on Siamese Network and Auto-encoder For Hyperspectral Image Classification, 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’19), pp.397-400, 27 July - 3 Aug. 2019, Yokohama, Japan.
Anshu Sha, Bin Wang*, Xiaofeng Wu, Liming Zhang, Bo Hu, and Jian Qiu Zhang, Semi-supervised Classification for Hyperspectral Images Using Edge-Conditioned Graph Convolutional Networks, 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’19), pp.2690-2693, 27 July - 3 Aug. 2019, Yokohama, Japan.
Bin Yang, Bin Wang*, and Zongmin Wu, Nonlinear Hyperspectral Unmixing Based on Geometric Characteristics of Bilinear Mixture Models, IEEE Transactions on Geoscience and Remote Sensing, Vol.56, No.2, pp.694-714, Feb. 2018.
Bin Yang, and Bin Wang*, Band-wise Nonlinear Unmixing for Hyperspectral Imagery Using an Extended Multilinear Mixing Model, IEEE Transactions on Geoscience and Remote Sensing, Vol.56, No.11, pp.6747-6762, Nov. 2018.
Bin Yang, Bin Wang*, and Zongmin Wu, Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization, Remote Sensing, Vol.10, No.5: 801, pp.1-30, May 2018.
Zehao Chen, Bin Yang, and Bin Wang*, A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis, Remote Sensing, Vol.10, No.7:1033, pp.1-21, June 2018.
杨斌，王斌*，吴宗敏，基于双线性混合模型的高光谱图像非线性解混，红外与毫米波学报，第37卷，第5期，pp.631-641，2018年10月。
骆尚，吴晓峰，杨明辉，王斌*，孙晓玮，基于卷积神经网络的毫米波图像人体隐匿物检测，复旦学报（自然科学版），第57卷，第4期，pp.442-452，2018年8月。
智通祥，杨斌，王斌*，基于丰度约束核非负矩阵分解的高光谱图像非线性解混，复旦学报（自然科学版），第57卷，第4期，pp.429-441，2018年8月。
Tongkai Cheng, and Bin Wang*, Manifold Regularized Low-rank Representation for Hyperpsectral Anomaly Detection, 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), pp.2861-2864, 23-27 July 2018, Valencia, Spain.
Zehao Chen, Bin Yang, and Bin Wang*, Hyperspectral Target Detection: A Preprocessing Method Based on Tensor Principal Component Analysis, 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), pp.2761-2764, 23-27 July 2018, Valencia, Spain.
Xueyuan Dai, Xiaofeng Wu, Bin Wang*, and Liming Zhang, Semi-supervised Scene Classification for Remote Sensing Images Based on CNN and Ensemble Learning, 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), pp.4736-4739, 23-27 July 2018, Valencia,
Bin Yang, Bin Wang*, Bo Hu, and Jian Qiu Zhang, Nonlinear Hyperspectral Unmixing Via Modelling Band Dependent Nonlinearity, 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), pp.2701-2704, 23-27 July 2018, Valencia, Spain.
Yubin Niu, and Bin Wang*, Extracting Target Spectrum for Hyperspectral Target Detection: An Adaptive Weighted Learning Method Using a Self-Completed Background Dictionary, IEEE Transactions on Geoscience and Remote Sensing, Vol.55, No.3, pp.1604-1617, Mar. 2017.
Jiayan Cao, and Bin Wang*, Embedding Learning on Spectral-Spatial Graph for Semisupervised Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, Vol.14, No.10, pp.1805-1809, Oct. 2017.
Yixiu Wang, Bin Wang*, Xiaofeng Wu, and Liming Zhang, Scanpath Estimation Based on Foveated Image Saliency, Cognitive Processing, Vol.18, No.1, pp.87–95, Feb. 2017.
Bin Yang, Wenfei Luo, and Bin Wang, Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.10, No.8, pp.3693-3710, Aug. 2017.
Zhao Chen, and Bin Wang, Spectrally-Spatially Regularized Low-Rank and Sparse Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images, Remote Sensing, Vol.9, No.10:1044, pp.1-21, Oct. 2017.
杨斌，王斌*，高光谱遥感图像非线性解混研究综述，红外与毫米波学报，第36卷，第2期，pp.173-185，2017年4月。
钮宇斌，王斌*，一种新的用于高光谱图像小目标探测的目标光谱学习算法，红外与毫米波学报，第36卷，第4期，pp.471-480，2017年8月。
蔡荣荣，王斌*，一种基于低秩表示的高光谱图像恢复方法，复旦学报（自然科学版），第56卷，第3期，pp.346-358，2017年6月。
Shang Luo, Xiaofeng Wu, Bin Wang*, and Liming Zhang, Learning Local Instance Constraint for Multi-label Classification, International Conference on Image and Graphics (ICIG 2017), Shanghai, China, Part I, LNCS 10666, pp. 284-294, 2017.
Tongxiang Zhi, Bin Yang, Zhao Chen, and Bin Wang*, Nonnegative Matrix Factorization with Constraints on Endmember and Abundance for Hyperspectral Unmixing, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), pp.1149-1152, 23-28 July 2017, Fort Worth, Texas, USA.
Bin Yang, Bin Wang*, Zongmin Wu, and Qiyong Lu, Bilinear Mixture Models Based Unsupervised Nonlinear Unmixing Using Constrained Nonnegative Matrix Factorization, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), pp.582-585, 23-28 July 2017, Fort Worth, Texas, USA.
Bin Yang, Bin Wang*, Zongmin Wu, and Qiyong Lu, Abundance Estimation for Hyperspectral Images Based on Bilinear Mixture Models, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), pp.644-647, 23-28 July 2017, Fort Worth, Texas, USA.
Zhao Chen, Bin Yang, Bin Wang, Guohua Liu, and Wei Xia, Change Detection in Hyperspectral Imagery Based on Spectrally-Spatially Regularized Low-Rank Matrix Decomposition, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’7), pp.157-160, 23-28 July 2017, Fort Worth, Texas, USA.
Qi Lv, Bin Wang*, and Liming Zhang, Saliency Computation via Whitened Frequency Band Selection, Cognitive Neurodynamics, Vol.10, No.3, pp.255-267, June 2016.
Zhao Chen, and Bin Wang*, Spectral-Spatial Classification Based on Affinity Scoring for Hyperspectral Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.9, No.6, pp.2305-2320, June 2016.
Yubin Niu, and Bin Wang*, Hyperspectral Anomaly Detection Based on Low-Rank Representation and Learned Dictionary, Remote Sensing, Vol.8, No.4: 289, pp.1-17, Mar. 2016.
Zhao Chen, and Bin Wang*, Spectral-Spatial Classification for Hyperspectral Imagery: A Novel Combination Method Based on Affinity Scoring, Science China: Information Sciences, Vol.59, No.10:102313, pp.1-13, Oct. 2016.
钮宇斌，王斌*，基于低秩表示和学习字典的高光谱图像异常探测，红外与毫米波学报，第35卷，第6期，pp.731-740，2016年12月。
陈昶安，吴晓峰，王斌，张立明，复杂扰动背景下时空特征动态融合的视频显著性检测，计算机辅助设计与图形学学报，第28卷，第5期，pp.802-812，2016年5月。
王宜修，吴晓峰，王斌*，基于中央凹图像显著性和扫视倾向的注视点转移预测模型，复旦学报（自然科学版），第55卷，第4期，pp.431-441，2016年8月。
Yubin Niu, and Bin Wang*, A Novel Hyperspectral Anomaly Detection Based on Low-rank Representation and Learned Dictionary, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’16), pp.5860-5863, 10-15 July 2016, Beijing, China.
Jiayan Cao, Zhao Chen, and Bin Wang*, Deep Convolutional Networks with Superpixel Segmentation for Hyperspectral Image Classification, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’16), pp.3270-3273, 10-15 July 2016, Beijing, China.
Jiayan Cao, Zhao Chen, and Bin Wang*, Graph-based Deep Convolutional Networks for Hyperspectral Image Classification, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’16), pp.3310-3313, 10-15 July 2016, Beijing, China.
Hanye Pu, Zhao Chen, Bin Wang*, and Wei Xia, Constrained Least Squares Algorithms for Nonlinear Unmixing of Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp.1287-1303, Mar. 2015.
Dan Zhu, Bin Wang*, and Liming Zhang, Airport Target Detection in Remote Sensing Images: A New Method Based on Two-way Saliency, IEEE Geoscience and Remote Sensing Letters, Vol.12, No.5, pp.1096-1100, May 2015.
Yubin Niu, and Bin Wang*, Hyperspectral Target Detection Using Learned Dictionary, IEEE Geoscience and Remote Sensing Letters, Vol.12, No.7, pp.1531-1535, July 2015.
Zhao Chen, and Bin Wang*, Semisupervised Spectral-Spatial Classification of Hyperspectral Imagery with Affinity Scoring, IEEE Geoscience and Remote Sensing Letters, Vol.12, No.8, pp.1710-1714, Aug. 2015.
金硕，王斌*，夏威，基于带参考信号独立分量分析的高光谱图像目标探测，红外与毫米波学报，第34卷，第2期，pp.177-183，2015年4月。
朱丹，王斌*，张立明，基于直线邻近平行性和GBVS显著性的遥感图像机场目标检测，红外与毫米波学报，第34卷，第3期，pp.375-384，2015年6月。
万晨坤，王斌*，基于切片映射张量分析的高光谱图像压缩，复旦学报（自然科学版），第54卷，第6期，pp.78-87，2015年12月。
Zhao Chen, Bin Wang*, Yubin Niu, Wei Xia, Jian Qiu Zhang, and Bo Hu, Change Detection for hyperspectral Images Based on Tensor Analysis, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’15), pp.1662-1665, 26-31 July 2015, Milan, Italy.
Zhao Chen, Bin Wang*, Yubin Niu, Wei Xia, Jian Qiu Zhang, and Bo Hu, Semisupervised Hyperspectral Image Classification Based on Affinity Scoring, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’15), pp.4967-4970, 26-31 July 2015, Milan, Italy.
Yubin Niu, Zhao Chen, Bin Wang*, Wei Xia, Jian Qiu Zhang, and Bo Hu, Hyperspectral Target Detection : A New Method Based on Learned Dictionary, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’15), pp.4456-4459, 26-31 July 2015, Milan, Italy.
Hanye Pu, Wei Xia, Bin Wang*, and Geng-Ming Jiang, A Fully Constrained Linear Spectral Unmixing Algorithm Based on Distance Geometry, IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.2, pp.1157-1176, Feb. 2014.
Hanye Pu, Zhao Chen, Bin Wang*, and Geng-Ming Jiang, A Novel Spatial-Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.11, pp.7008-7022, Nov. 2014.
Zhao Chen, Hanye Pu, Bin Wang*, and Geng-Ming Jiang, Fusion of Hyperspectral and Multispectral Images: A Novel Framework Based on Generalization of Pan-sharpening Methods, IEEE Geoscience and Remote Sensing Letters, Vol.11, No.8, pp.1418-1422, Aug. 2014.
普晗晔，王斌*，夏威，约束最小二乘的高光谱图像非线性解混，红外与毫米波学报，第33卷，第5期，pp.552-559，2014年10月。
普晗晔，王斌*，张立明，基于流形学习的新高光谱图像降维算法，红外与激光工程，第43卷，第1期，pp.232-237，2014年1月。
吕琦，王斌*，张立明，一种基于频带选择的视觉注意计算方法，复旦学报（自然科学版），第53卷，第3期，pp.407-411，2014年6月。
戴博，吴晓峰，王斌，基于哈尔特征及结构复杂度的视觉显著性模型，复旦学报（自然科学版），第53卷，第5期，pp.651-658，2014年10月。
吕琦，王斌*，张立明，基于Gabor分解和二维熵的视觉注意，中国科技论文在线精品论文，第7卷，第4期，pp.306-313，2014年2月. http://highlights.paper.edu.cn/page_detail.php?id=2821
朱丹，王斌*，张立明，基于双向显著性的遥感图像机场目标检测，北京：中国科技论文在线，2014年9月12日. http://www.paper.edu.cn/releasepaper/content/201409-133; http://www.paper.edu.cn/html/releasepaper/2014/09/133/.
Shuo Jin, and Bin Wang*, A Preprocessing Method Based on Independent Component Analysis with References for Target Detection in Hyperspectral Imagery, 2014 International Conference on Audio, Language and Image Processing (ICALIP 2014), pp.537-542, July 7-9, 2014, Shanghai, China.
Zhao Chen, and Bin Wang*, An Improved Spectral-Spatial Classification Framework for Hyperspectral Remote Sensing Images, 2014 International Conference on Audio, Language and Image Processing (ICALIP 2014), pp.532-536, July 7-9, 2014, Shanghai, China.
Dan Zhu, Bin Wang*, and Liming Zhang, Two-way Saliency for Airport Detection in Remote Sensing Images, 2014 International Conference on Audio, Language and Image Processing (ICALIP 2014), pp.526-531, July 7-9, 2014, Shanghai, China.
Wei Xia, Bin Wang*, and Liming Zhang, Band Selection for Hyperspectral Imagery: A New Approach Based on Complex Networks, IEEE Geoscience and Remote Sensing Letters, Vol.10, No.5, pp.1229-1233, Sept. 2013.
Xin Wang, Qi Lv, Bin Wang*, and Liming Zhang, Airport Detection in Remote Sensing Images: A Method Based on Saliency Map, Cognitive Neurodynamics, Vol.7, No.2, pp.143-154, 2013.
Yilu Zhao, Xiong Chen, and Bin Wang, Real-Time Sound Source Localization Using Hybrid Framework, Applied Acoustics, Vol.74, No.12, pp.1367-1373, 2013.
Jialin Chen, Lingli Wang, Edoardo Charbon, and Bin Wang, Programmable Architecture for Quantum Computing, Physical Review A, Vol.88, No.2, Aug. 2013.
陈宏达，普晗晔，王斌*，张立明，基于图像欧式距离的高光谱图像流形降维算法，红外与毫米波学报，第32卷，第5期，pp.450-455，2013年10月。
陈昭，王斌*，张立明，基于低秩张量分析的高光谱图像降维与分类，红外与毫米波学报，第32卷，第6期，pp.569-575，2013年12月。
夏晓天，王斌*，张立明，基于推广的IHS变换和压缩传感的遥感图像融合，计算机辅助设计与图形学学报，第25卷，第9期，pp.1399-1409，2013年9月。（EI收录）
夏晓天，王斌*，张立明，基于鲁棒估计的遥感图像融合方法，复旦学报（自然科学版），第52卷，第3期，pp.347-355,370, 2013年6月。
王磊，王斌*，张立明，基于张量分析和小波包变换的高光谱图像压缩，复旦学报（自然科学版），第52卷，第3期，pp.371-379, 2013年6月。
吕琦，王斌*，张立明，基于Gabor分解和二维熵的视觉注意，2013年3月28日。中国科技论文在线，http://www.paper.edu.cn/releasepaper/content/201303-919; http://www.paper.edu.cn/index.php/default/releasepaper/content/4532189
Qi Lv, Bin Wang*, and Liming Zhang, Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy, Advances in Neural Networks, ISNN 2013, Part 1, Lecture Notes on Computer Sciences 7951, pp.664-673, 2013.
Hanye Pu, and Bin Wang*, Novel Similarity Measure-Based Nonlinear Dimensionality Reduction Methods for Hyperspectral Imagery, 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’13), pp.414-417, 21-26 July 2013, Melbourne, Australia.
Hanye Pu, Bin Wang*, Geng-Ming Jiang, Jian Qiu Zhang, Bo Hu, and Dan Li, A Novel Nonlinear Unmixing Scheme for Hyperspectral Images Using The Nonlinear Least Squares Technique, 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’13), pp.2547-2550, 21-26 July 2013, Melbourne, Australia.
Wei Xia, Hanye Pu, Bin Wang*, and Liming Zhang, Triangular Factorization-Based Simplex Algorithms for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, Vol.51, No.11, pp.4420-4440, Nov. 2012.
Zhenghu Ding, Ying Yu, Bin Wang*, and Liming Zhang, An Approach for Visual Attention Based on Biquaternion and Its Application for Ship Detection in Multispectral Imagery, Neurocomputing, Vol.76, Issue 1, pp.9-17, January 2012.
刘雪松，葛亮，王斌*，张立明，基于最大信息量的高光谱遥感图像无监督波段选择方法，红外与毫米波学报，第31卷，第2期，pp.166-170，2012年4月。
普晗晔，王斌*，张立明，基于Cayley-Menger行列式的高光谱遥感图像端元提取方法，红外与毫米波学报，第31卷，第3期，pp.265-270，2012年6月。
王鑫，王斌*，张立明，基于图像显著性区域的遥感图像机场检测，计算机辅助设计与图形学学报，第24卷，第3期，pp.336-344，2012年3月。
葛亮，王斌*，张立明，基于波段聚类的高光谱图像波段选择，计算机辅助设计与图形学学报，第24卷，第11期，pp.1447-1454，2012年11月。
普晗晔，王斌*，张立明，基于单形体几何的高光谱遥感图像解混算法，中国科学：信息科学，第42卷，第8期，pp.1019-1033，2012。
Wei Xia, Hanye Pu, Zhao Dong, Bin Wang*, and Liming Zhang, A New Network Based Feature-Selection Approach for Hyperspectral Analysis, The Fourth Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 4-7 June 2012, Shanghai, China.
Hanye Pu, Wei Xia, Bin Wang*, and Liming Zhang, Abundance Estimation for Hyperspectral Unmixing: A Method Based on Distance Geometry, The Fourth Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 4-7 June 2012, Shanghai, China.
Wei Xia, Zhao Dong, Hanye Pu, Bin Wang*, and Liming Zhang, Network Topology Analysis: A New Method for Band Selection, 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), pp.3062-3065, 22-27 July 2012, Munich, Germany.
Hanye Pu, Wei Xia, Bin Wang*, and Liming Zhang, Gengming Jiang, An Approach for Fully Constrained Linear Spectral Unmixing Based on Distance Geometry, 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), pp.4122-4125, 22-27 July 2012, Munich, Germany.
Geng-Ming Jiang, and Bin Wang, Evaluation of Temperature Independent Spectral Indices of Emissivity in Land Surface Emissivity Retrievals, 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), pp.3098-3101, 22-27 July 2012, Munich, Germany.
Xuesong Liu, Wei Xia, Bin Wang*, and Liming Zhang, An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.2, pp.757-772, Feb. 2011.
Wei Xia, Xuesong Liu, Bin Wang*, and Liming Zhang, Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery with Additional Constraints, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.6, pp.2165-2179, June 2011.
Ying Yu, Bin Wang*, and Liming Zhang, Hebbian-Based Neural Networks for Bottom-Up Attention and Its Applications to Ship Detection in SAR Images, Neurocomputing, Vol.74, Issue 11, pp.2008-2017, May 2011.
Ying Yu, Bin Wang*, and Liming Zhang, Bottom-Up Attention: Pulsed PCA Transform and Pulsed Cosine Transform, Cognitive Neurodynamics, Vol.5, pp.321-332, Sept. 2011.
刘雪松，王斌*，张立明，基于非负矩阵分解的高光谱遥感图像混合像元分解，红外与毫米波学报，第30卷，第1期，pp. 27-32， 2011年2月。
夏威，王斌*，张立明，基于独立分量分析的高光谱遥感图像混合像元盲分解，红外与毫米波学报，第30卷，第2期，pp.131-136/155，2011年4月。
丁正虎，余映，王斌*，张立明，选择性视觉注意机制下的多光谱图像舰船检测，计算机辅助设计与图形学学报，第23卷，第3期，pp.419-425，2011年3月。
葛亮，王斌*，张立明，基于偏最小二乘法的高光谱图像波段选择，计算机辅助设计与图形学学报，第23卷，第11期，pp.1844-1852，2011年11月。
刘文红，汪源源，王斌，邱天爽，Alpha稳定噪声下基于随机共振的微弱诱发电位潜伏期延长检测，大连理工大学学报，第51卷，第2期，pp.281-285，2011年3月。
赵磊，王斌*，张立明，基于模糊C均值聚类和邻域分析的无监督多通道遥感图像变化检测，数据采集与处理，第26卷，第4期，pp.395-401，2011年7月。
Xin Wang, Bin Wang*, and Liming Zhang, Airport Detection in Remote Sensing Images Based on Visual Attention, B.-L. Lu, L. Zhang, and J. Kwok (Eds.): ICONIP 2011, Part III, LNCS 7064, pp. 475-484, 2011.
Wei Xia, Bin Wang*, Liming Zhang, and Qiyong Lu, Simplex Volume Analysis Based on Triangular Factorization: A Framework for Hyperspectral Unmixing, 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’11), pp.1147-1150, 24-29 July 2011, Vancouver, Canada.
Jing Jin, Bin Wang*, and Liming Zhang, A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, Vol.7, No.4, pp.699-703, October 2010.
Lifan Liu, Bin Wang*, and Liming Zhang, An Approach Based on Self-Organizing Map and Fuzzy Membership for Decomposition of Mixed Pixels in Hyperspectral Imagery, Pattern Recognition Letters, Vol.31, pp.1388-1395, 2010.
Ying Yu, Bin Wang*, and Liming Zhang, Saliency-Based Compressive Sampling for Image Signals, IEEE Signal Processing Letters, Vol.17, No.11, pp.973-976, Nov. 2010.
Qi Ma, Liming Zhang, and Bin Wang, New Strategy for Image and Video Quality Assessment, Journal of Electronic Imaging, Vol.19, No.1, 011019, pp. 1-14, Jan-Mar 2010.
余映，王斌*，张立明，基于脉冲余弦变换变换的选择性视觉注意模型，模式识别与人工智能，第23卷，第5期，pp.616-623，2010年10月。
金晶，王斌*，张立明，基于Fisher判别零空间的高光谱遥感图像混合像元分解，红外，第31卷，第6期，pp.23-30，2010年6月。
赵磊，王斌*，张立明，基于分割窗的无监督多通道遥感图像变化检测，信息与电子工程，第8卷，第2期，pp.173-179，2010年4月。
赵磊，王斌*，张立明，基于分割窗半监督支撑向量机的变化检测，复旦学报（自然科学版），第49卷，第2期，pp.190-196，2010年4月.
金晶，王斌*，张立明，基于线性光谱混合分析的城市不透水层的估算，复旦学报（自然科学版），第49卷，第2期，pp.197-208，2010年4月.
Ying Yu, Zhenghu Ding, Bin Wang*, and Liming Zhang, Visual Attention-Based Ship Detection in SAR Images, Lecture Notes in Electrical Engineering, Vol. 67, pp. 283-292, 2010.
Zhenghu Ding, Ying Yu, Bin Wang*, and Liming Zhang, An Approach for Visual Attention Based on Biquaternion and Its Application for Ship Detection in Multispectral Imagery, In: Proc. of ISNN2010, 2010.
Xuesong Liu, Bin Wang*, and Liming Zhang, A Novel Approach for Hyperspectral Unmixing Based on Nonnegative Matrix Factorization, 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’10), pp.1289-1292, 25-30 July 2010, Honolulu, Hawaii, USA.
Wei Xia, Bin Wang*, and Liming Zhang, Constrained Independent Component Analysis for Hyperspectral Unmixing, 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’10), pp.1293-1296, 25-30 July 2010, Honolulu, Hawaii, USA.
Xuetao Tao, Bin Wang*, and Liming Zhang, Orthogonal Bases Approach for Decomposition of Mixed Pixels in Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters, Vol.6, No.2, pp.219-223, April 2009.
Lifan Liu, Bin Wang*, and Liming Zhang, Decomposition of Mixed Pixels Based on Bayesian Self-Organizing Map and Gaussian Mixture Model, Pattern Recognition Letters, Vol.30, Issue 9， pp.820-826, July 2009.
Xuetao Tao, Bin Wang*, Liming Zhang, A New Approach Based on Orthogonal Bases of Data Space to Decomposition of Mixed Pixels for Hyperspectral Imagery. Science in China Series F: Information Sciences, Vol.52, No.5, pp.843-857, May 2009.
余映，王斌*，张立明，一种面向数据学习的快速PCA算法，模式识别与人工智能，第22卷，第4期，pp.567-573，2009年4月。
陈雷蕾，王斌*，张立明，快速三维人耳提取与识别，计算机辅助设计与图形学学报，第21卷，第10期，pp.1438-1445，2009年10月。
蒋辰伟，王斌*，张立明，脑磁图神经活动源数目的估计，生物物理学报，第25卷，第3期，pp.226-234，2009年6月。
陶雪涛，王斌*，张立明，基于数据空间正交基的遥感图像混合像元分解新方法，中国科学F辑：信息科学，第39卷，第4期，pp.454-467，2009年4月。
刘文红，汪源源，王斌，脉冲噪声下基于共变序列的自适应时间延迟估计，系统工程与电子技术，第31卷，第8期，pp.1781-1784，2009年8月。
陈雷蕾，王斌*，张立明，基于Contourlet变换的三维人耳提取，复旦学报（自然科学版），第48卷，第1期，pp.65-72，2009年2月。
Ying Yu, Bin Wang*, and Liming Zhang, Pulse Discrete Cosine Transform for Saliency-based Visual Attention, 2009 IEEE 8th Conference on Development and Learning (ICDL 2009), June 5-7th, Shanghai, China.
Ying Yu, Bin Wang*, and Liming Zhang, Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems, C.S. Leung, M. Lee, and J.H. Chan (Eds.): ICONIP 2009, Part I, LNCS 5863, pp. 1-9, 2009.
Zhe Chen, Jianting Cao, Yang Cao, Yue Zhang, Fanji Gu, Guoxian Zhu, Zhen Hong, Bin Wang, and Andrzej Cichocki, An Empirical EEG Analysis in Brain Death Diagnosis for Adults, Cognitive Neurodynamics, Vol.2, No.3, pp.257-271, Sept. 2008. （SCI收录）
刘力帆，王斌*，张立明，基于自组织映射和模糊隶属度的混合像元分解，计算机辅助设计与图形学学报，第20卷，第10期，pp.1307-1315，2008年10月。
刘文红，汪源源，王斌，脉冲噪声下最小极大熵自适应时间延迟估计，仪器仪表学报，第29卷，第4期增刊，pp.519-522，2008年4月。
蒋辰伟，章悦，曹洋，朱国行，顾凡及，王斌*，脑死亡与脑昏迷脑电信号的复杂度研究，生物物理学报，第24卷，第2期，pp.129-138，2008年4月。
蒋辰伟，王斌*，张立明，基于粒子群优化算法的脑磁图源定位，生物物理学报，第24卷，第4期，pp.308-314，2008年8月。
陶雪涛，王斌*，张立明，基于NMF的遥感图像混合像元分解新方法，信息与电子工程，第6卷，第1期，pp.34-39，2008年2月。
黄海东，王斌*，张立明，一种基于非降采样Contourlet变换的遥感图像融合方法，复旦学报（自然科学版），第47卷，第1期，pp.124-128，2008年2月。
刘文红，汪源源，王斌，Alpha稳定噪声下最小均方Sigmoid误差自适应时间延迟估计，大连海事大学学报，第359卷，第2期，pp.47-50，2008年。
Chenwei Jiang, Bin Wang*, and Liming Zhang, Particle Swarm Optimization for MEG Source Localization, Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008), pp.73-82, October 15-17, 2008, Melbourne, Australia.
Zhirong Ge, Bin Wang*, and Liming Zhang, Remote Sensing Image Fusion Based on Bayesian Linear Estimation, Science in China Series F: Information Sciences, Vol.50, No.2, pp.227-240, April 2007.
刘力帆(学生)，王斌*，张立明，基于贝叶斯自组织映射和高斯混合模型的混合像元分解，计算机辅助设计与图形学学报，第19卷，第11期，pp.1381-1386，2007年11月。
卞宁艳，曹洋，王斌*，顾凡及，张立明，基于二阶C0复杂度的癫痫发作预测，生物物理学报，第23卷，第1期，pp.67-74，2007年2月。
葛志荣，王斌*，张立明，基于Bayes线性估计的遥感图像融合，中国科学E辑 信息科学，第37卷，第4期，pp.501-513，2007年4月。
葛志荣，王斌*，张立明，一种基于残差的遥感图像融合新方法，中国图像图形学报，第12卷，第1期，pp.135-140，2007年1月。
周昊，王斌*，张立明，改进的非负ICA算法，数据采集与处理，第22卷，第1期，pp.54-58，2007年3月。
Chenwei Jiang, Jieming Ma, Bin Wang*, and Liming Zhang, Multiple Signal Classification Based on Genetic Algorithm for MEG Sources Localization, Lecture Notes in Computer Science 4492, pp.1133-1139, 2007.
Xuetao Tao, Bin Wang*, and Liming Zhang, A New Approach to Decomposition of Mixed Pixels Based on Orthogonal Bases of Data Space, Lecture Notes in Computer Science, Vol. 4681, D.-S. Huang, L. Heutte, and M. Loog (Eds.): ICIC 2007, pp.1029-1040, 2007.
Xuetao Tao, Bin Wang*, Liming Zhang, and Jian Qiu Zhang, A New Scheme for Decomposition of Mixed Pixels Based on Nonnegative Matrix Factorization, 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’07), pp.1759-1762, 23-28 July 2007, Barcelona, Spain.
Xuetao Tao, Bin Wang*, Liming Zhang, and Jian Qiu Zhang, A New Endmember Extraction Algorithm Based on Orthogonal Basis of Subspace Formed by Endmembers, 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’07), pp.2006-2009, 23-28 July 2007, Barcelona, Spain.
Lifan Liu, Bin Wang*, Liming Zhang, and Jian Qiu Zhang, Decomposition of Mixed Pixels Using Bayesian Self-Organizing Map (BSOM) Neural Networks, 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’07), pp.2014-2017, 23-28 July 2007, Barcelona, Spain.
Huijuan Yang, Jian Qiu Zhang, and Bin Wang, Hypercomplex Principle Component Weighted Approach to Multispectral and Panchromatic Images Fusions, 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’07), pp.3096-3099, 23-28 July 2007, Barcelona, Spain.
卞宁艳，王斌*，曹洋，张立明，基于独立元分析和非线性指数分析的脑电信号中伪迹分量的自动去除，生物物理学报，第22卷，第2期，pp.149-156，2006年4月。
马洁铭，王斌*，张立明，基于独立元分析的脑磁图源定位方法，生物物理学报，第22卷，第5期，pp.389-396，2006年10月。
Jieming Ma, Bin Wang*, Yang Cao, and Liming Zhang, Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization, ISNN 2006, Lecture Notes in Computer Science 3972, pp.719-726, 2006.
Ningyan Bian, Bin Wang*, Yang Cao, and Liming Zhang, Automatic Removal of Artifacts from EEG Data Using ICA and Exponential Analysis, ISNN 2006, Lecture Notes in Computer Science 3973, pp.600-605,2006.
Zhirong Ge, Bin Wang*, and Liming Zhang, Remote Sensing Image Fusion Based on Bayesian Linear Estimation, Proceeding of The 3rd International Symposium on Future Intelligent Earth Observing Satellites, Beijing, May 2006.
Ningyan Bian, Bin Wang*, Yang Cao, and Liming Zhang, Application of ICA and Nonlinear Exponential Analysis to Mental Task Classification, Proceeding of the Second International Conference on Dynamics Vibration and Control, Beijing, China, August 23-26, 2006.
Xuming Huang, Bin Wang, and Liming Zhang, A New Scheme for Extraction of Affine Invariant Descriptor and Affine Motion Estimation Based on Independent Component Analysis, Pattern Recognition Letters, Vol.26, pp.1244-1255, 2005.
Bin Wang*, Jieming Ma, and Liming Zhang, “Processing and Analysis of Magnetoencephalographic Data Based on Independent Component Analysis,” Chinese Journal of Clinical Rehabilitation, Vol.9, No.28, pp.254-256, July 2005.
周昊，王斌*，张立明，一种新的遥感图像混合像元分解方法，红外与毫米波学报，第24卷，第6期，pp.463-466，2005年12月。
马洁铭，王斌*，张立明，基于混沌优化算法的多信号分类脑磁图源定位方法，生物物理学报，第21卷，第5期，pp.359-363，2005年10月。
Hao Zhou, Bin Wang*, and Liming Zhang, A New Scheme for Blind Decomposition of Mixed Pixels Based on Non-Negative Matrix Factorization, Lecture Notes in Computer Science 3497, pp.651-658, 2005.
Zhirong Ge, Bin Wang*, and Liming Zhang, A New Scheme for Fusion of Multispectral and Panchromatic Images Based on Residual Error, Lecture Notes in Computer Science 3497, pp.759-764, 2005.
Bin Wang*, Application of Independent Component Analysis to Unaveraged MEG Data, Proceeding of The First International Conference on Complex Medical Engineering (CME2005), pp.837-842, May 15-18, 2005, Takamatsu, Japan.
Bin Wang*, Hao Zhou, and Liming Zhang, Blind Decomposition of Mixed Pixels Using Constrained Non-Negative Matrix Factorization, Proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’05), Vol.6, pp.3757-3760, 25-29 July 2005 Seoul, Korea.
黄旭明，王斌，张立明，一种基于独立元分析的仿射不变描述和仿射变换参数估计的新方法，电子学报，第32卷，第12期，pp.2020-2023，2004年12月。
Hao Zhou, Bin Wang*, and Liming Zhang, A New Scheme for Detection and Classification of Subpixel Spectral Signatures in Multispectral Data, Lecture Notes in Computer Science 3174, pp.331-336, 2004.
葛志荣，王斌*，张立明，基于改进的残差线性恢复的遥感图像融合新方法，2004年中国遥感应用协会年会论文集，中国宇航出版社，pp.329-335，2004年8月。
Bin Wang*, and Liming Zhang, Automated Removal of Ghost Noise From SAR Images Using Wavelet Packet Transform, IEEE Transactions on Geoscience and Remote Sensing, Vol.41, No.10, pp.2409-2414, Oct. 2003.
王斌*，张立明，基于独立元分析的MEG（脑磁图）数据分析和处理，生物物理学报，第19卷，第2期，pp.141-146，2003年6月。
Bin Wang*, and Liming Zhang, Supervised Texture Segmentation Using Wavelet Transform, Proceeding of IEEE International Conference on Neural Networks & Signal Processing, Nanjing, China, pp.1078-1082, Dec. 14-17, 2003.
王斌*，张立明，MEG（脑磁图）数据的独立元分析和处理，特邀报告，第十二届中国神经网络学术会议论文集，人民邮电出版社，北京，pp.569-576，2002年12月。
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