Signal and image processing, pattern recognition, machine learning (deep learning), image information processing and understanding (including remote sensing images, natural images, millimeter wave images, etc.), intelligent information processing, and brain science research.

Feature extraction, modeling, optimization, processing, analysis, and understanding of images

Restoration, fusion, classification, semantic segmentation, object detection (probing), unmixing, and interpretation of hyperspectral/multispectral/panchromatic remote sensing images

Visual attention selection models and their applications in image processing

Theory, methods, and applications of intelligent information processing

Processing and analysis of EEG and MEG signals

IEEE Senior Member

Associate Editor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2016-

Council Member, Shanghai Institute of Electronics

Committee Member, Remote Sensing Geography Professional Committee, Geographical Society of China

Committee Member, Imaging Spectroscopy Professional Committee, Chinese National Committee of the International Society for Digital Earth

Committee Member, Computational Neuroscience and Neural Engineering Professional Committee, Chinese Neuroscience Society

Committee Member, Biocybernetics and Medical Engineering Professional Committee, Chinese Association of Automation

Adjunct Professor, Key Laboratory of Electromagnetic Wave Information Science (Ministry of Education), Fudan University

Editorial Board Member, "Spatial Microwave Remote Sensing Research and Application" Series, Science Press

Shanghai Outstanding Postgraduate Achievement Awards (thesis supervisor), 2010 and 2012

First Prize (×2), Fudan University Undergraduate Teaching Achievement Awards, 2023 (ranked 1/7 and 8/8 respectively)

Second Prize, Shanghai Higher-Education Outstanding Teaching Achievement Award, 2022 (ranked 8/8)

Dean's Awards, College of Information Science, Fudan University, 2012, 2013, 2016, 2019 and 2021

First-Prize Teaching Awards, College of Information Science, Fudan University, 2003, 2006 and 2010

Mentored students to win the Grand Prize at the National Finals of the 7th China International "Internet+" Innovation and Entrepreneurship Competition, 2021 (team mentor)

Mentored students to win Fudan University Outstanding Doctoral Dissertation Awards in 2013, 2014, 2016 and 2017 (thesis supervisor)

Mentored students to win Fudan University Outstanding Master's Thesis Awards in 2010 and 2012 (thesis supervisor)

2013 Best Reviewer Award of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), IEEE GRSS

Education:

July 1985 — BSc, Department of Electronic Engineering, Xidian University

December 1987 — MSc, Communications and Electronic Systems, Graduate School of Xidian University

March 1999 — PhD, Graduate School of Systems Science, Kobe University, Japan

Professional experience:

January 1988 – November 1990 — Teaching Assistant, Department of Measurement and Instruments, Xidian University

December 1990 – June 1994 — Lecturer, Department of Measurement and Instruments, Xidian University

July 1994 – March 1995 — Guest Researcher, Faculty of Engineering, Osaka Electro-Communication University, Japan

April 1999 – June 2000 — Research Fellow, Perception Mechanism Laboratory, Kansai Advanced Research Center, Communications Research Laboratory, Japan

July 2000 – August 2002 — Senior Supervisor, APC Project, Etching Department, Tokyo Electron Limited, Japan

September 2002 – present — Department of Electronic Engineering, College of Information Science, Fudan University; Associate Professor (November 2002), Professor (April 2005), Doctoral Supervisor (January 2006)

April 2015 – January 2021 — Head, Department of Electronic Engineering, College of Information Science, Fudan University

Undergraduate Compulsory Course Probability, Mathematical Statistics and Stochastic Processes

Master's Elective Course Remote Sensing Digital Image Analysis and Interpretation

Doctoral Elective Course Multi-channel Remote Sensing Image Data Processing and Analysis

Doctoral Elective Course New Methods in Signal Processing

专著

[1] Wang Bin，Yang Bin，"Hyperspectral Remote-Sensing Image Unmixing: From Linear to Nonlinear Theory and Methods"，Science Press，December 2019。

（The monograph was supported by the 2019 National Science and Technology Publication Grant）

2025 — major papers

Shiyang Feng, Zhaowei Li, Bo Zhang, and Bin Wang * , DF 2 RQ: Dynamic Feature Fusion via Region-wise Queries for Semantic Segmentation of Multimodal Remote Sensing Data , IEEE Transactions on Geoscience and Remote Sensing, Vol. 63, pp. 1-15, 2025, Art. no. 5 400715 .

Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, and Bin Wang * , DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 18, pp. 7207-7220 , 2025.

Chenlong Wei, Xiaofeng Wu, and Bin Wang * , ASS-CD: Adapting Segment Anything Model and Swin-Transformer for Change Detection in Remote Sensing Images , Remote Sensing , Vol. 17, No. 3: 369, pp. 1-22, 2025.

Ge Sunyi，Luo Xiaowei，Feng Shiyang，Wang Bin * ， Sparsity- and self-similarity-prior-guided deep-learning blind image super-resolution，Journal of Infrared and Millimeter Waves，(accepted)。

Li Chaowei，Feng Shiyang，Wang Bin * ， Based on自监督预训练and跨尺度对比学习 +模态遥感图像融合，Journal of Infrared and Millimeter Waves，(accepted)。

Zhang Xinyue，Feng Shiyang，Wang Bin * ，Based on知识蒸馏 轻量化遥感+模态大语言模型，Journal of Infrared and Millimeter Waves，(accepted)。

2024 — major papers

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.

Feifan Shen, Jiayang Wu, Lingjian Ye, and Bin Wang, Memory-adaptive Supervised LSTM Networks for Deep Soft Sensor Development of Industrial Processes, IEEE Sensors Journal, Vol. 24, No. 13, pp. 21641-21654, 2024.

Jingyi Zhou, Jiamu Sheng, Peng Ye, Jiayuan Fan, Tong He, Bin Wang, Tao Chen, Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol.62, pp.1-16, 2024, Art. no. 5519516.

张重阳，Wang Bin*，Based on知识蒸馏 轻量化遥感图像场景分类，Journal of Infrared and Millimeter Waves，2024，(accepted)。

Linwei Li, Ziyu Wu, Bin Wang*, and Bo Hu, Merging Total Variation into Low-rank Representation for Hyperspectral Anomaly Detection, 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’24), 7 - 12 July 2024, Athens, Greece.

Minglei Li, Linwei Li, Bin Wang*, and Bo Hu, Unsupervised Nonlinear Hyperspectral Unmixing Based on An Extended Multilinear Mixing Model-inspired Dual-stream Network, 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’24), 7 - 12 July 2024, Athens, Greece.

Ziyu Wu, Linwei Li, Bin Wang*, and Bo Hu, An Autoencoder Framework with Transformer Encoder and EMLM Embedded Decoder for Nonlinear Hyperspectral Anomaly Detection, 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’24), 7 - 12 July 2024, Athens, Greece.

2023 — major papers

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, Art. no. 5521415.

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, Art. no. 5542916.

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, Art. no. 5543917.

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, Art. no. 5508215.

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, Art. no. 5508215.

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, Art. No. 5611412.

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, Art. No. 6001605.

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, Art. No. 5506705.

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.

2022 — major papers

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.

2021 — major papers

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，Wang Bin*，Based on+层特征下文编码网络 遥感图像场景分类，Journal of Infrared and Millimeter Waves，第40Vol.，第4Issue，pp.530-538，August 2021。

何婉婷，张铂，Wang Bin，孙晓玮，杨明辉，吴晓峰，利用截面序列+级特征全局关联性 毫米波图像隐匿物检测（Cover papers），Journal of Infrared and Millimeter Waves，第40Vol.，第6Issue，pp.738-748，December 2021。

Yang Bin，Wang Bin，光谱解混技术及其应用研究进展，Chinese Journal of Lasers and Optoelectronics Progress，第58Vol.，第16Issue，1600004，August 2021。

2020 — major papers

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，Wang Bin*，Based on生成式对抗网络 遥感图像半监督语义分割，Journal of Infrared and Millimeter Waves，第39Vol.，第4Issue，pp.473-482，August 2020。

2019 — major papers

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，Yang Bin，Wang Bin*，一种考虑光谱变异性 高光谱图像非线性解混算法，Journal of Infrared and Millimeter Waves，第38Vol.，第1Issue，pp.115-124，February 2019。

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.

2018 — major papers

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.

Yang Bin，Wang Bin*，吴宗敏，Based on双线性混合模型 高光谱图像非线性解混，Journal of Infrared and Millimeter Waves，第37Vol.，第5Issue，pp.631-641，October 2018。

骆尚，吴晓峰，杨明辉，Wang Bin*，孙晓玮，Based onVol.积神经网络 毫米波图像人体隐匿物检测，Journal of Fudan University（Natural Sciences Edition），第57Vol.，第4Issue，pp.442-452，August 2018。

智通祥，Yang Bin，Wang Bin*，Based on丰度约束核非负矩阵分解 高光谱图像非线性解混，Journal of Fudan University（Natural Sciences Edition），第57Vol.，第4Issue，pp.429-441，August 2018。

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.

2017 — major papers

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.

Yang Bin，Wang Bin*，高光谱遥感图像非线性解混研究综述，Journal of Infrared and Millimeter Waves，第36Vol.，第2Issue，pp.173-185，April 2017。

钮宇斌，Wang Bin*，一种新 用于高光谱图像小目标探测 目标光谱学习算法，Journal of Infrared and Millimeter Waves，第36Vol.，第4Issue，pp.471-480，August 2017。

蔡荣荣，Wang Bin*，一种Based on低秩表示 高光谱图像恢复方法，Journal of Fudan University（Natural Sciences Edition），第56Vol.，第3Issue，pp.346-358，June 2017。

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.

2016 — major papers

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，Wang Bin*，Based on低秩表示和学习字典 高光谱图像异常探测，Journal of Infrared and Millimeter Waves，第35Vol.，第6Issue，pp.731-740，December 2016。

陈昶安，吴晓峰，Wang Bin，Zhang Liming，复杂扰动背景下时空特征动态融合 视频显著性检测，Journal of Computer-Aided Design & Computer Graphics，第28Vol.，第5Issue，pp.802-812，May 2016。

王宜修，吴晓峰，Wang Bin*，Based on中央凹图像显著性和扫视倾向 注视点转移预测模型，Journal of Fudan University（Natural Sciences Edition），第55Vol.，第4Issue，pp.431-441，August 2016。

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.

2015 — major papers

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，Wang Bin*，夏威，Based on带参考信号独立分量分析 高光谱图像目标探测，Journal of Infrared and Millimeter Waves，第34Vol.，第2Issue，pp.177-183，April 2015。

朱丹，Wang Bin*，Zhang Liming，Based on直线邻近平uplink性和GBVS显著性 遥感图像机场目标检测，Journal of Infrared and Millimeter Waves，第34Vol.，第3Issue，pp.375-384，June 2015。

万晨坤，Wang Bin*，Based on切片映射张量分析 高光谱图像压缩，Journal of Fudan University（Natural Sciences Edition），第54Vol.，第6Issue，pp.78-87，December 2015。

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.

2014 — major papers

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，Wang Bin*，夏威，约束最小二乘 高光谱图像非线性解混，Journal of Infrared and Millimeter Waves，第33Vol.，第5Issue，pp.552-559，October 2014。

普晗晔，Wang Bin*，Zhang Liming，Based on流形学习 新高光谱图像降维算法，Infrared and Laser Engineering，第43Vol.，第1Issue，pp.232-237，January 2014。

吕琦，Wang Bin*，Zhang Liming，一种Based on频带选择 视觉注意计算方法，Journal of Fudan University（Natural Sciences Edition），第53Vol.，第3Issue，pp.407-411，June 2014。

戴博，吴晓峰，Wang Bin，Based on哈尔特征及结构复杂度 视觉显著性模型，Journal of Fudan University（Natural Sciences Edition），第53Vol.，第5Issue，pp.651-658，October 2014。

吕琦，Wang Bin*，Zhang Liming，Based onGabor分解和二维熵 视觉注意，China科技 papersin线精品 papers，第7Vol.，第4Issue，pp.306-313，February 2014. http://highlights.paper.edu.cn/page_detail.php?id=2821

朱丹，Wang Bin*，Zhang Liming，Based on双向显著性 遥感图像机场目标检测，Beijing: China科技 papersin线，September 201412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.

2013 — major papers

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，Wang Bin*，Zhang Liming，Based on图像欧式距离 高光谱图像流形降维算法，Journal of Infrared and Millimeter Waves，第32Vol.，第5Issue，pp.450-455，October 2013。

陈昭，Wang Bin*，Zhang Liming，Based on低秩张量分析 高光谱图像降维and分类，Journal of Infrared and Millimeter Waves，第32Vol.，第6Issue，pp.569-575，December 2013。

夏晓天，Wang Bin*，Zhang Liming，Based on推广 IHS变换和压缩传感 遥感图像融合，Journal of Computer-Aided Design & Computer Graphics，第25Vol.，第9Issue，pp.1399-1409，September 2013。（EI-indexed）

夏晓天，Wang Bin*，Zhang Liming，Based on鲁棒估计 遥感图像融合方法，Journal of Fudan University（Natural Sciences Edition），第52Vol.，第3Issue，pp.347-355,370, June 2013。

王磊，Wang Bin*，Zhang Liming，Based on张量分析和小波包变换 高光谱图像压缩，Journal of Fudan University（Natural Sciences Edition），第52Vol.，第3Issue，pp.371-379, June 2013。

吕琦，Wang Bin*，Zhang Liming，Based onGabor分解和二维熵 视觉注意，March 201328日。China科技 papersin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.

2012 — major papers

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，Wang Bin*，Zhang Liming，Based on最大信息量 高光谱遥感图像无监督波段选择方法，Journal of Infrared and Millimeter Waves，第31Vol.，第2Issue，pp.166-170，April 2012。

普晗晔，Wang Bin*，Zhang Liming，Based onCayley-Mengeruplink列式 高光谱遥感图像端元提取方法，Journal of Infrared and Millimeter Waves，第31Vol.，第3Issue，pp.265-270，June 2012。

王鑫，Wang Bin*，Zhang Liming，Based on图像显著性区域 遥感图像机场检测，Journal of Computer-Aided Design & Computer Graphics，第24Vol.，第3Issue，pp.336-344，March 2012。

葛亮，Wang Bin*，Zhang Liming，Based on波段聚类 高光谱图像波段选择，Journal of Computer-Aided Design & Computer Graphics，第24Vol.，第11Issue，pp.1447-1454，November 2012。

普晗晔，Wang Bin*，Zhang Liming，Based on单形体几何 高光谱遥感图像解混算法，Chinascience：信息science，第42Vol.，第8Issue，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.

2011 — major papers

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，Wang Bin*，Zhang Liming，Based on非负矩阵分解 高光谱遥感图像混合像元分解，Journal of Infrared and Millimeter Waves，第30Vol.，第1Issue，pp. 27-32， February 2011。

夏威，Wang Bin*，Zhang Liming，Based on独立分量分析 高光谱遥感图像混合像元盲分解，Journal of Infrared and Millimeter Waves，第30Vol.，第2Issue，pp.131-136/155，April 2011。

丁正虎，+映，Wang Bin*，Zhang Liming，选择性视觉注意机制下 +光谱图像舰船检测，Journal of Computer-Aided Design & Computer Graphics，第23Vol.，第3Issue，pp.419-425，March 2011。

葛亮，Wang Bin*，Zhang Liming，Based on偏最小二乘法 高光谱图像波段选择，Journal of Computer-Aided Design & Computer Graphics，第23Vol.，第11Issue，pp.1844-1852，November 2011。

刘文红，Wang Yuanyuan，Wang Bin，邱天爽，Alpha稳定噪声下Based on随机a total of振 微弱诱发电位潜伏Issue延长检测，大连理工大学学报，第51Vol.，第2Issue，pp.281-285，March 2011。

赵磊，Wang Bin*，Zhang Liming，Based on模糊C均值聚类和邻域分析 无监督+通道遥感图像变化检测，数据采集and处理，第26Vol.，第4Issue，pp.395-401，July 2011。

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.

2010 — major papers

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.

+映，Wang Bin*，Zhang Liming，Based on脉冲+弦变换变换 选择性视觉注意模型，模式识别and人工智能，第23Vol.，第5Issue，pp.616-623，October 2010。

金晶，Wang Bin*，Zhang Liming，Based onFisher判别零空间 高光谱遥感图像混合像元分解，红外，第31Vol.，第6Issue，pp.23-30，June 2010。

赵磊，Wang Bin*，Zhang Liming，Based on分割窗 无监督+通道遥感图像变化检测，信息and电子工程，第8Vol.，第2Issue，pp.173-179，April 2010。

赵磊，Wang Bin*，Zhang Liming，Based on分割窗半监督支撑向量机 变化检测，Journal of Fudan University（Natural Sciences Edition），第49Vol.，第2Issue，pp.190-196，April 2010.

金晶，Wang Bin*，Zhang Liming，Based on线性光谱混合分析 城市不透水层 估算，Journal of Fudan University（Natural Sciences Edition），第49Vol.，第2Issue，pp.197-208，April 2010.

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.

2009 — major papers

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.

+映，Wang Bin*，Zhang Liming，一种面向数据学习 快速PCA算法，模式识别and人工智能，第22Vol.，第4Issue，pp.567-573，April 2009。

陈雷蕾，Wang Bin*，Zhang Liming，快速三维人耳提取and识别，Journal of Computer-Aided Design & Computer Graphics，第21Vol.，第10Issue，pp.1438-1445，October 2009。

蒋辰伟，Wang Bin*，Zhang Liming，脑磁图神经活动源数目 估计，生物Acta Physica Sinica，第25Vol.，第3Issue，pp.226-234，June 2009。

陶雪涛，Wang Bin*，Zhang Liming，Based on数据空间正交基 遥感图像混合像元分解新方法，ChinascienceF辑：信息science，第39Vol.，第4Issue，pp.454-467，April 2009。

刘文红，Wang Yuanyuan，Wang Bin，脉冲噪声下Based ona total of变序列 自适应时间延迟估计，系统工程and电子技术，第31Vol.，第8Issue，pp.1781-1784，August 2009。

陈雷蕾，Wang Bin*，Zhang Liming，Based onContourlet变换 三维人耳提取，Journal of Fudan University（Natural Sciences Edition），第48Vol.，第1Issue，pp.65-72，February 2009。

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.

2008 — major papers

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-indexed）

刘力帆，Wang Bin*，Zhang Liming，Based on自组织映射和模糊隶属度 混合像元分解，Journal of Computer-Aided Design & Computer Graphics，第20Vol.，第10Issue，pp.1307-1315，October 2008。

刘文红，Wang Yuanyuan，Wang Bin，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29Vol.，第4IssueSupplement，pp.519-522，April 2008。

蒋辰伟，章悦，曹洋，朱国uplink，顾凡及，Wang Bin*，脑死亡and脑昏迷脑电信号 复杂度研究，生物Acta Physica Sinica，第24Vol.，第2Issue，pp.129-138，April 2008。

蒋辰伟，Wang Bin*，Zhang Liming，Based on粒子群优化算法 脑磁图源定位，生物Acta Physica Sinica，第24Vol.，第4Issue，pp.308-314，August 2008。

陶雪涛，Wang Bin*，Zhang Liming，Based onNMF 遥感图像混合像元分解新方法，信息and电子工程，第6Vol.，第1Issue，pp.34-39，February 2008。

Huang海东，Wang Bin*，Zhang Liming，一种Based on非降采样Contourlet变换 遥感图像融合方法，Journal of Fudan University（Natural Sciences Edition），第47Vol.，第1Issue，pp.124-128，February 2008。

刘文红，Wang Yuanyuan，Wang Bin，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359Vol.，第2Issue，pp.47-50，2008。

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.

2007 — major papers

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)，Wang Bin*，Zhang Liming，Based on贝叶斯自组织映射和高斯混合模型 混合像元分解，Journal of Computer-Aided Design & Computer Graphics，第19Vol.，第11Issue，pp.1381-1386，November 2007。

卞宁艳，曹洋，Wang Bin*，顾凡及，Zhang Liming，Based on二阶C0复杂度 癫痫发作预测，生物Acta Physica Sinica，第23Vol.，第1Issue，pp.67-74，February 2007。

葛志荣，Wang Bin*，Zhang Liming，Based onBayes线性估计 遥感图像融合，ChinascienceE辑 信息science，第37Vol.，第4Issue，pp.501-513，April 2007。

葛志荣，Wang Bin*，Zhang Liming，一种Based on残差 遥感图像融合新方法，China图像图形学报，第12Vol.，第1Issue，pp.135-140，January 2007。

周昊，Wang Bin*，Zhang Liming，改进 非负ICA算法，数据采集and处理，第22Vol.，第1Issue，pp.54-58，March 2007。

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.

2006 — major papers

卞宁艳，Wang Bin*，曹洋，Zhang Liming，Based on独立元分析和非线性指数分析 脑电信号中伪迹分量 自动去除，生物Acta Physica Sinica，第22Vol.，第2Issue，pp.149-156，April 2006。

马洁铭，Wang Bin*，Zhang Liming，Based on独立元分析 脑磁图源定位方法，生物Acta Physica Sinica，第22Vol.，第5Issue，pp.389-396，October 2006。

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.

2005 — major papers

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，Wang Bin*，Zhang Liming，一种新 遥感图像混合像元分解方法，Journal of Infrared and Millimeter Waves，第24Vol.，第6Issue，pp.463-466，December 2005。

马洁铭，Wang Bin*，Zhang Liming，Based on混沌优化算法 +信号分类脑磁图源定位方法，生物Acta Physica Sinica，第21Vol.，第5Issue，pp.359-363，October 2005。

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.

2004 — major papers

Huang旭明，Wang Bin，Zhang Liming，一种Based on独立元分析 仿射不变描述和仿射变换参数估计 新方法，Acta Electronica Sinica，第32Vol.，第12Issue，pp.2020-2023，December 2004。

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，Wang Bin*，Zhang Liming，Based on改进 残差线性恢复 遥感图像融合新方法，2004China遥感应用协会年会 papers集，China宇航Press，pp.329-335，August 2004。

2003 — major papers

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.

Wang Bin*，Zhang Liming，Based on独立元分析 MEG（脑磁图）数据分析和处理，生物Acta Physica Sinica，第19Vol.，第2Issue，pp.141-146，June 2003。

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.

2002 — major papers

Wang Bin*，Zhang Liming，MEG（脑磁图）数据 独立元分析和处理，invited talk，第十二届China神经网络学术Conference Papers集，Posts and Telecom Press，Beijing，pp.569-576，December 2002。