Yuntao Qian

Yuntao Qian

Professor- College of Computer Science, Zhejiang University

Address: 38 Zheda Road, Hangzhou, P.R.China
Telephone: +86(0)571-87951631
Mobil: +86(0)13819178382


Education

WORK EXPERIENCE

Research Interests

Honors and Professional Activities

PUBLICATIONS

Journals

  • Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang, “Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization”, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(4): 2341-2357 (PDF)
  • Danping Liao, Yuntao Qian, “Paper evolution graph: multi-view structural retrieval for academic literature”, Frontiers of Information Technology & Electronic Engineering, 2019,20(2), 187-205 (PDF)
  • Danping Liao, Yuntao Qian, Yuan Yan Tang, “Constrained manifold learning for hyperspectral Imagery Visualization”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(4): 1213-1226 (PDF)
  • Changhong Liu, Jun Zhou, Yuntao Qian, Hanxi Li, Yongsheng Gao, “Exploring Structural Consistency in Joint Spectral-Spatial Sparse Coding for Hyperspectral Image”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3): 1151-1164 (PDF)
  • Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuanyan Tang. "Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery". IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3): 1776-1792 (PDF,code)
  • Minchao Ye, Yuntao Qian, Jun Zhou, and Yuanyan Tang. "Dictionary learning based feature level domain adaptation for cross-scene hyperspectral image classification". IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(3): 1544-1562 (PDF)
  • Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, and Yongsheng Gao. "On the sampling strategy for evaluation of spectral-spatial methods in hyperspectral image classification". IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 862-880 (PDF)
  • Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, and Yongsheng Gao. "Region based structure preserving nonnegative matrix factorization for hyperspectral unmixing". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2017, 10(4): 1575-1588 (PDF)
  • Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, Yongsheng Gao, “Nonnegative Matrix Factorization Based Hyperspectral Unmixing with Partially Known Endmembers”, IEEE Trans. on Geoscience and Remote Sensing, 2016, 54(11): 6531-6544 (PDF)
  • Bin Ju, Yuntao Qian, Minchao Ye, “Preference Transfer Model in Collaborative Filtering for Implicit Data”, Frontiers of Information Technology & Electronic Engineering, 2016, 17(6): 489-500 (PDF)
  • Wenhong Wang, Yuntao Qian, Yuan Yan Tang, “Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(2):681-694 (PDF)
  • Danping Liao, Yuntao Qian, Jun Zhou, Yuan Yan Tang, “A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color”, IEEE Transactions Geoscience and Remote Sensing, 2016, PP(99) 1-12 (PDF)
  • Wenhong Wang, Yuntao Qian “Adaptive L-1/2 Sparsity-Constrained NMF with Half Thresholding Algorithm for Hyperspectral Unmixing”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(6): 2618-2631 , 2015. (PDF)
  • Minchao Ye, Yuntao Qian Jun Zhou, “Multitask sparse nonnegative matrix factorization for hyperspectral imagery denoising”, IEEE Transactions Geoscience and Remote Sensing, 2015, 53(5): 2621-2639 (PDF,code)
  • Wenbin Zheng, Hong Tang, Yuntao Qian. “Collaborative work with linear classifier and extreme learning machine for fast text categorization”, World Wide Web, 2015, 18(2): 235-252. (PDF)
  • Bin Ju, Yuntao Qian Minchao Ye, Rong Ni, Chenxi Zhu, “Using dynamic multi-task non-negative matrix factorization to detect the evolution of user preferences in collaborative Filtering”, PLoS ONE 10(8): e0135090. doi:10.1371/journal.pone.0135090, 2015. (PDF)
  • Kai Wang and Yuntao Qian. “A flexible focus function consists of a convex function and an image enhancement filter”. Optics Express, 22(15): 18668-18687 , 2014. (PDF)
  • Lichun Yang, Yuntao Qian "Speech enhancement with a GSC-like structure employing sparse coding", Journal of Zhejiang University - SCIENCE C, 15(12):1154-1163 , 2014. (PDF)
  • Yuntao Qian Minchao Ye, and Jun Zhou. "Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and 3D Wavelet Texture Features", IEEE Transactions on Geoscience and Remote Sensing, 51(4): 2276-2291, 2013. (PDF)
  • Yuntao Qian Minchao Ye, “Hyperspectral Imagery Restoration Using Nonlocal Spectral-Spatial Structured Sparse Representation with Noise Estimation”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2): 499-515, 2013. (PDF)
  • Wenbin Zheng, Yuntao Qian Huijuan Lu, “Text categorization based on regularization extreme learning machine”, Neural Computing & Applications, 22(3):447-456, 2013 (PDF)
  • SenJia, Zhen Ji, Yuntao Qian and Linlin Shen, “Unsupervised band selection for hyperspectral imagery classification without manual band removal”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(2):531-543, 2012. (PDF)
  • Wenbin Zheng, Yuntao Qian Minchao Ye, “Structure-based Regularized Regression Model for Text Categorization”, Journal of Software, 7(9): 2119-2124 (PDF)
  • Yuntao Qian Sen Jia, Jun Zhou, Antonio Robles-Kelly. "Hyperspectral unmixing via L-1/2 sparsity-constrained nonnegative matrix factorization". IEEE Transactions on Geoscience and Remote Sensing, 49(11):4282-4297, 2011. (PDF)
  • Jiming Li, Yuntao Qian “Clustering-based hyperspectral band selection using sparse nonnegativematrix factorization”, Journal of Zhejiang University-SCIENCE C, 12(7):542-549, 2011. (PDF)
  • Sen Jia, Yuntao Qian “Constrained nonnegative matrix factorization for hyperspectral unmixing”. IEEE Transactions ctions on Geoscience and Remote Sensing, 47(1):161-173, 2009. (PDF)
  • Yuntao Qian Futian Yao, Sen Jia, “Band Selection for Hyperspectral Imagery Using Affinity Propagation”, IET Computer Vision, 3(4):213-222, 2009.12 (PDF)
  • Yuntao Qian Robert Murphy, “Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models”, Bioinformatics, 24(4): 569-576, 2008. (PDF)
  • Qiuhua Zheng, Weihua Wu, Yuntao Qian Guohua Wu, “Novel approach for network event correlation based on IHU”, Journal of Computational Information Systems, 4,(4):1571-1577, August 2008.
  • Sen Jia and Yuntao Qian. “Spectral and Spatial Complexity Based Hyperspectral Unmixing”. IEEE Transactions on Geoscience and Remote Sensing, 45(12): 3867-3879, December 2007. (PDF)
  • Guang Dai, Dit-Yan Yeung, Yuntao Qian “Face recognition using a kernel-fractional-step discriminant analysis algorithm”, Pattern Recognition, 40(1): 229-243, 2007.(PDF)
  • Sen Jia and Yuntao Qian “MRF-ICA mixture model for hyperspectral imagery unmixing”, International Journal of Wavelets, Multiresolution and Information Processing, 5(1): 113-127, 2007.(PDF)
  • Yuntao Qian Xiaoxu Du, Qi Wang, “Semi-supervised hierarchical clustering analysis for high dimensional data”, International Journal of Information Technology, 12(3): 54-64, 2006.(PDF)
  • Yuntao Qian Y.Y.Tang, “Data clustering analysis based on wavelet feature extraction”, Chinese Journal of Electronics, vol.12, no.3, pp.441-446, 2003.
  • Yuntao Qian C.Y.Suen, Y.Y.Tang, Sequential combination methods for data clustering analysis, Journal of Computer Science and Technology, vol.7, no.2, pp.118-128, 2002.(PDF)
  • Yuntao Qian ,Rongchun Zhao, “Contour Feature Extraction from Fuzzy Image”, Chinese Journal of Electronics, vol.8, no.1, pp.35-40, 1999.
  • Yuntao Qian “Image Segmentation Based on Global and Local Information”, Chinese Journal of Electronics, vol.8, no.3, pp.261-265, 1999.(PDF)
  • Yuntao Qian, Weixin Xie, “An Image Segmentation Method Based on Fuzzy-Neural-Network Hybrid System”, Journal of Electronics, vol.4, no.3, pp.352-356, 1997. (PDF)
  • Weixin Xie, Yuntao Qian “Fuzzy-Neural-Network Hybrid Systems and Their Applications”, Chinese Journal of Electronics, vol.4, no.4, pp.78-85, 1995.
  • Yuntao Qian, Zhongchuang Hu, Siyu Chen, “Land marking detection using convolutional neural network”, Journal of Signal Processing (Chinese), 2019, 35(3): 435-442
  • Wei Zhang, Yuntao Qian, “Streamlined face landmark detection network with global constraint”, Journal of Signal Processing (Chinese), 2019, 35(3): 507-515
  • Bin Ju, Yuntao Qian Minchao Ye. “Collaborative filtering algorithm based on structured projective nonnegative matrix factorization”, Journal of Zhejiang University - Engineering Science (Chinese), 49(7): 1319-1325, 2015. (PDF)
  • Yunchen Shao, Yangzhen Xie, Zhaolun Gu, Yuntao Qian “Driver Drowsiness detection using front camera of the mobile phone”, Signal Processing (Chinese), 31(9): 1138-1144, 2015. (PDF)
  • Zhaolun Gu, Yunchen Shao, Yangzhen Xie, Yuntao Qian “Real-time vehicle detection and distance measurement in multi-environments”, Signal Processing (Chinese), 31(9): 1188-1194, 2015.(PDF)
  • Lichun Yang, Minchao Ye, Yuntao Qian, “Speech enhancement based on multi-task sparse representation for dual small microphone arrays”, Journal of Communications (Chinese), 35(2): 87-94, 2014 (PDF)
  • Guirong You, Wei Wu, Yuntao Qian, “Feature Extraction Method for Detecting Spam in Electronic Commerce”, New Technology of Library and Information Service (Chinese), 2014, 30(10): 93-100.(PDF)
  • Lichun Yang, Yuntao Qian Wenhong Wang. “A GSC algorithm based on null spectral subtraction for dual small microphone array speech enhancement”, Journal of Zhejaing University - Engineering Science (Chinese), 47(8): 1493-1499, 2013. (PDF)
  • LichunYang, Yuntao Qian “GSC-like speech enhancement for dual small microphone arrays”, Signal Processing (Chinese) , 28(10):1379-1385, 2012 (PDF)
  • Futian Yao, Yuntao Qian Jiming Li, “Semi-supervised learning based Gaussian processes for hyperspectral image classification”, Journal of Zhejaing University - Engineering Science (Chinese), 46(7): 1295-1300, 2012.(PDF)
  • Xinghu Dai, Yuntao Qian Fengxian Tang, Bin Ju, “Figure caption based MRI image detection from online biological literature”, Journal of Zhejaing University - Engineering Science (Chinese), 46(7): 1307-1313, 2012. (PDF)
  • LichunYang, Yuntao Qian “Speech enhancement with generalized sidelobe canceller based a coherence-based filter for small microphone arrays”, Journal of Electronics & Information Technology (Chinese) , 34(12):3027-3033, 2012
  • Futian Yao, Yuntao Qian “Gaussian process and its applications in hyperspectral image classification”, CAAI Transactions ctions on Intelligent Systems (Chinese) , 6(5): 397-404, 2011 (PDF)
  • Pengfei Zhao, Yuntao Qian Wenbin Zheng, Jiming Li, Bin Ju, “MRI database construction using image and text features extracted from online biological literature”, Chinese Journal of Biomedical Engineering (Chinese), 29(5): 697-703, 2010
  • Qiuhua Zheng, Min Yao, Yuntao Qian “Novel fault localization approach based on Lagrangian relaxation and subgradient method”, Systems Engineering – Theory & Practice (Chinese), 28(11):155-164, 2008 (PDF)
  • Wenwu Si and Yuntao Qian “Semi-supervised Clustering Based on Spectral Clustering”, Journal of Computer Applications (Chinese), vol.25, no.6, pp.1347-1349, 2005. (PDF)
  • Xiaoxu Du and Yuntao Qian “Boosting Probabilistic Reasoning Model for Face Recognition”, Computer Engineering (Chinese), vol.31, no.22, pp.164-166, 2005.(PDF)
  • Lei Ding, Yuntao Qian “Application of different degrees of supervision in automatic text categorization”, Computer Applications and Software (Chinese), vol.21, no.6, pp.65-68, 2004.
  • Yuntao Qian Qi Wang, “Fuzzy image interpretation based on genetic searching”, Journal of Image and Graphics (Chinese), vol.7, no.2, pp.218-222, 2002.
  • Conferences

  • Danping Liao, Siyu Chen, Yuntao Qian, “Visualization of Hyperspectral Images Using Moving Least Squares”, IEEE International Conference on Pattern Recognition (ICPR2018), Beijing, China, 2018.(PDF)
  • Fengchao Xiong, Jun Zhou, Yuntao Qian, “Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization”, 2018 IEEE Int. Conf. Image Processing (ICIP2018), Athen, Greece.(PDF)
  • Siyu Chen, Danping Liao, Yuntao Qian, “Spectral Image Visualization Using Generative Adversarial Networks”,  15th Pacific Rim International Conference on Artificial Intelligence (PRICAI2018), Nanjing, China.  Lecture Notes in Computer Science 11012, Springer 2018.
  • Jingzhou Chen, Wei Zhang, Yuntao Qian, Minchao Ye, “Deep Tensor Factorization for Hyperspectral Image Classification”,IEEE International Geoscience & Remote Sensing Symposium (IGARSS2018), Valencia, Spain, 2018. (PDF)
  • Wei Zhang, Shihao Wang, Jingzhou Chen, Yuntao Qian, “ Deconv R-CNN for Small Object Detection on Remote Sensing Images”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2018), Valencia, Spain, 2018. (PDF)
  • Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian, “Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2018), Valencia, Spain, 2018 (PDF)
  • Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian, “Cross-secene Feature Selection for Hyperspectral Images Based on Cross-domain Information Gain”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2018), Valencia, Spain, 2018. (PDF)
  • Danping Liao, Yuntao Qian, Ze-Nian Li, “Semisupervised manifold learning for color transfer between multiview images”. IEEE International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, 2016. (PDF)
  • Zhijian Luo, Danping Liao, Yuntao Qian, “Bound analysis of natural gradient descent in stochastic optimization setting”. IEEE International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, 2016. (PDF)
  • Yangyang Xu, Yuntao Qian, “Group sparse nonnegative matrix factorization for hyperspectral image denoising”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2016), Bejing, China, 2016.(PDF)
  • Wenhong Wang, Yuntao Qian, “Kernel based sparse NMF algorithm for hyperspectral unmixing”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2016), Bejing, China, 2016. .(PDF)
  • Wenhong Wang, Yuntao Qian, “Parallel adaptive sparsity-constrained NMF algorithm for hyperspectral unmixing”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2016), Bejing, China, 2016. (PDF)
  • Jialu Fang, Yuntao Qian “Local detail enhanced hyperspectral image visualization”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS2015), Milan, Italy, 2015. (PDF)
  • Lei Tong, Jun Zhou, Yuntao Qian and Yongsheng Gao. "Multiple graph regularized NMF for hyperspectral unmixing", The 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015. (PDF)
  • Jun Zhou, Jie Liang, Yuntao Qian and Yongsheng Gao. "On the sampling strategies for evaluation of joint spectral-spatial information based classifiers", The 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015. (PDF)
  • Danping Liao, Yuntao Qian, Jun Zhou, “Visualization of Hyperspectral Imaging Data Based on Manifold Alignment”. IEEE International Conference on Pattern Recognition (ICPR2014), Stockholm, Sweden (PDF)
  • Minchao Ye, Yuntao Qian Qi Wang, “MT-OMP for hyperspectral imagery denoising with model parameter estimation”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013. (PDF)
  • Minchao Ye, Yuntao Qian Qi Wang, “Panchromatic image based dictionary learning for hyperspectral imagery denoising”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013. (PDF)
  • Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian “Noise reduction of hyperspectral imagery based on nonlocal tensor factorization”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013. (PDF)
  • Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian “Visualization of hyperspectral imagery based on manifold learning”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'13), Melbourne, Australia, 2013. (PDF)
  • Yuntao Qian Danping Liao, Jun Zhou. “Manifold alignment based color transfer for multiview image stitching”, 2013 IEEE Int. Conf. Image Processing (ICIP2013), Melbourne, Australia. (PDF)
  • Jie Liang, Jun Zhou, Xiao Bai, Yuntao Qian . “Salient object detection in hyperspectral imagery”, 2013 IEEE Int. Conf. Image Processing (ICIP2013), Melbourne, Australia. (PDF)
  • Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian and Yongsheng Gao. "Soil biochar quantification via hyperspectral unmixing", Digital Image Computing: Techniques and Applications (DICTA'13), Hobart, Australia, 2013. (PDF)
  • Wenbin Zheng, Yuntao Qian “Non-Negative Sparse Semantic Coding for Text Categorization”, IEEE International Conference on Pattern Recognition (ICPR’2012), Tsukuba, Japan, 2012. (PDF)
  • Minchao Ye, Yuntao Qian “Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery”, IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPER2012), Shanghai, China. (best paper) (PDF)
  • Sen Jia, Jinquan Liang, Lin Deng and Yuntao Qian “Minimum variance block based nonnegative matrix factorization algorithm for hyperspectral unmixing”, IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPER2012), Shanghai, China. (PDF)
  • Yuntao Qian Minchao Ye, Qi Wang, “'Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'12), Munich, German, 2012 (PDF)
  • Yuntao Qian Yanhao Shen, Minchao Ye, Qi Wang, “3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'12), Munich, German, 2012 (PDF)
  • Yuntao Qian Jun Zhou, Minchao Ye, Qi Wang. "Structured sparse model based feature selection and classification for hyperspectral imagery". IEEE International Geoscience & Remote Sensing Symposium (IGARSS'11), Vancouver, Canada, 2011 (PDF)
  • Jiming Li, Yuntao Qian “Dimension Reduction of hyperspectral images with sparse linear discriminant analysis”, IEEE International Geoscience & Remote Sensing Symposium (IGARSS'11), Vancouver, Canada, 2011. (PDF)
  • Kai Wang, Yuntao Qian “Fast and accurate iris segmentation based on linear basis function and RANSAC”, IEEE International Conference on Image Processing (ICIP’2011), Brussels, Belgium, 2011. (PDF)
  • Yuntao Qian Sen Jia, Jun Zhou, Antonio Robles-Kelly. "L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing". Proceedings of Digital Image Computing: Techniques and Applications (DICTA'10), pp. 447-453, Sydney, Australia, 2010. (PDF)
  • Jiming Li, Yuntao Qian Sen Jia, “Regularized logistic regression method for change detection in multispectral data via pathwise coordinate optimization”, 2009 IEEE Int. Conf. Image Processing, Hong Kong, pp. 2305-2308, 2010 (PDF)
  • Sen Jia, Yuntao Qian Jiming Li, Yan Li, Zhong Ming, “Hierarchical alternating least squares algorithm with sparsity constraint for hyperspectral unmixing”, 2010 IEEE Int. Conf. Image Processing, Hong Kong, pp.2309-2312, 2010. (PDF)
  • Yuntao Qian Qi Wang, “Noise-robust subband decomposition blind signal separation for hyperspectral unmixing'”, 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Honolulu, Hawaii, USA, pp.983-986, 2010 (PDF)
  • Sen Jia, Yuntao Qian Jiming Li, Weixiang Liu, Zhen Ji, “Feature Extraction and Selection Hybrid Algorithm for Hyperspectral Imagery Classification”, 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Honolulu, Hawaii, USA, pp.72-75, 2010. (PDF)
  • Jiming Li, Yuntao Qian "Regularized Multinomial Regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization", Digital Image Computing: Techniques and Applications (DICTA2009), Melbourne, Australia, Dec 1-3, 2009.(PDF)
  • Jiming Li, Zhenfang Hu, Yuntao Qian “Hyperspectral data classification using margin infused relaxed algorithm”, 2009 IEEE Int. Conf. Image Processing, Cairo, Egypt, pp,1689-1692, 2009.11 (PDF)
  • Futian Yao, Yuntao Qian “Band selection based Gaussian processes for hyperspectral remote sensing image classification”, 2009 IEEE Int. Conf. Image Processing, Cairo, Egypt, pp,2845-2848, 2009.11 (PDF)
  • Sen Jia, Ji Zhen, Yuntao Qian “Band selection based hyperspectral unmixing”, 2009 IEEE International Workshop on Imaging Systems and Techniques, pp. 303-306, 2009. (PDF)
  • Jiming Li, Yuntao Qian “Automatic Scene Recognition for Digital Camera by Semantic Features”, Proceedings of International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR2008), pp.327-332, 2008.(PDF)
  • Sen Jia and Yuntao Qian “Band Selection for Hyperspectral Imagery Using Affinity Propagation”, International Conference of Digital Image Computing: Techniques and Applications (DICTA2008), Canberra, Australia. (PDF)
  • Yao Chen, Yuntao Qian “Semi-supervised dynamic counter propagation network”, ADMA 2006, LNAI 4093: 533-541, Springer. (PDF)
  • Guangjie Ling, Yuntao Qian Sen Jia, “Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling”, ADMA 2006, LNAI 4093: 731-740, Springer. (PDF)
  • Sen Jia, Yuntao Qian “Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing”, IEEE International Conference on Pattern Recognition (2006): 817-820. (PDF)
  • Sen Jia, Yuntao Qian “MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing”, SSPR/SPR, 2006: 531-540. (PDF)
  • Qiuhua Zheng, Yuntao Qian Min Yao, “A Network Event Correlation Algorithm Based on Fault Filtration”, PRICAI 2006: 864-869. (PDF)
  • Qiuhua Zheng and Yuntao Qian “An Event Correlation Approach Based on the Combination of IHU and Codebook”, Y. Hao et al. (Eds.): CIS 2005, Part II, LNAI 3802, pp. 757 – 763, 2005. Springer-Verlag Berlin Heidelberg.(PDF)
  • Qiuhua Zheng, Yuntao Qian Min Yao, “Non-deterministic Event Correlation Based on C-F Model”, L. Wang and Y. Jin (Eds.): FSKD 2005, LNAI 3614, pp. 1107 – 1117, 2005. Springer-Verlag Berlin Heidelberg. (PDF)
  • Sen Jia and Yuntao Qian “An MRF-ICA Based Algorithm for Image Separation”, L. Wang, K. Chen, and Y.S. Ong (Eds.): ICNC 2005, LNCS 3611, pp. 386 – 390, 2005. Springer-Verlag Berlin Heidelberg. (PDF)
  • Yuntao Qian and Wen-wu Si, “A Semi-supervised Color Image Segmentation Method”, 2005 IEEE International Conference on Image Processing (ICIP05), September 11-14, 2005, Genova, Italy. (PDF)
  • Yuntao Qian Xiao-xu Du, and Qi Wang, “Semi-supervised Hierarchical Clustering Analysis for High Dimensional Data”, 2005 International Conference on Intelligent Computing (ICIC’05), Hefei, China, August 23-26, 2005. (PDF)
  • Sen Jia and Yuntao Qian “MRF-ICA Mixture Models for Unmixing of Hyperspectral Images”, 2005 International Conference on Intelligent Computing (ICIC’05), Hefei, China, August 23-26, 2005.(PDF)
  • Sen Jia, Yuntao Qian “A hybrid online series pattern detection algorithm”, WCICA'04, Hangzhou, China, June 15-19, 2004, pp.1876-1879. (PDF)
  • Guang Dai, Yuntao Qian Jia Sen, “Robust Feature Extracted by the Generalized Optimal Discriminant Vectors for Face Recognition”, WCICA'04, Hangzhou, China, June 15-19, 2004, pp.4041-4045.(PDF)
  • Guang Dai, Yuntao Qian Jia Sen, “A kernel fractional-step nonlinear discriminant analysis for Pattern Recognition”, ICPR2004, Cambridge, UK, Aug.22-26, 2004, pp.431-434.(PDF)
  • Sen Jia, Yuntao Qian Dai Guang, “An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection”, ICPR2004, Cambridge, UK, Aug.22-26, 2004, pp.634-637.(PDF)
  • Guang Dai, Yuntao Qian “Modified kernel-based nonlinear feature extraction”, ICASSP2004, Montreal, Canada, May 17-21, 2004, pp.721-724. (PDF)
  • Guang Dai, Yuntao Qian “Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition”, ICIP2004, Singapore, October 24-27, 2004. (PDF)
  • Guang Dai, Yuntao Qian “A robust feature extraction framework for face recognition”, ICIP2004, Singapore, October 24-27, 2004.(PDF)
  • Guang Dai, Yuntao Qian “Face recognition with the robust feature extracted by the generalized Foley-Sammon transform”, ISCAS2004, Vancover, Canada, May 13-15, 2004, pp.109-112.(PDF)
  • Guang Dai, Yuntao Qian “A Gabor direct fractional-step LDA algorithm for face recognition”, ICME2004, Taiwan, June 27-30, 2004, pp.61-64.(PDF)
  • Guang Dai, Yuntao Qian “By normalizing to improve generalized Foley-Sammon Transactions orm in high-dimensional spaces - With application to face recognition”, SMC 2004, Hague, Netherlands Oct 10-13, 2004, pp.2175-2179.
  • Yuntao Qian Sen Jia, Wenwu Si, “Markov model based time series similarity measuring”, Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi'an, 2-5 November 2003, pp.278-283.(PDF)
  • Yuntao Qian Qi Wang, C.Y.Suen, “Time-variable-parametric relaxation labeling and its application in texture segmentation”, ICMLC’2002, Beijing, Nov.4-5, pp.486-491.(PDF)
  • Yuntao Qian Qingsong Shi, Qi Wang, "CURE-NS: A hierarchical clustering algorithm with new shrinking scheme", ICMLC’2002, Beijing, Nov.4-5, pp.895-899. (PDF)
  • Yuntao Qian, C.Y.Suen, “Clustering Combination Method”, 15th Int. Conf. On Pattern Recognition (ICPR00), Barcelona, Spain, 2000, 736-739. (PDF)
  • Yuntao Qian ,Rongchun Zhao, “Image Segmentation Based on Global and Local Information”, ICIP’97, Santa Barbara, CA, USA, 204-207, 1997. (PDF)
  • Yuntao Qian, Rongchun Zhao, “Robust Clustering Based on Global Data Distribution and Local Connectivity Matrix”, IEEE Int’l. Conf. Intelligent Processing Systems, Beijing, 1629-1633, 1997. (PDF)
  • Yuntao Qian, Weixin Xie, “Constructing Fuzzy Neural Classifier by Fuzzy ID3 Algorithm”, ICSP’96, Beijing, 1292-1295, 1996. (PDF)
  • Yuntao Qian, Weixin Xie, “Training Radial Basis Function Classifiers with Gaussian Kernel Clustering and Fuzzy Decision Technique”, Proceedings of the SPIE, 2620: 503-508, 1995. (PDF)
  • RECENT NATIONAL FUNDINGS

    1. Yuntao Qian (PI), Task-driven multispectral/hyperspectral image denoising based on multi-task learning models, National Natural Science Foundation of China (61571393), 2016-2019, RMB710,000
    2. Yuntao Qian (PI), Cross-media computation theory and methods for public security, National Basic Research Program of China (2012CB316400), 2012-2015, RMB650,000
    3. Yuntao Qian (PI), Hyperspectral imaging information processing based on structured sparse tensor model, National Natural Science Foundation of China (61171151), 2012-2015, RMB600,000
    4. Yuntao Qian (PI), Statistical cognitive classification and clustering models and its implementation, National Natural Science Foundation of China (60872071), 2009-2011, RMB300,000
    5. Yuntao Qian (PI), Supply chain quality monitor and tracing system, National Key Technology Research and Development Program of China (2011BAD24B03-2), 2011-2014, RMB1,610,000
    6. Yuntao Qian (PI), Graph-based remote sensing data representation for geo-indexing, China-Australia Special Fund for Science and Technology Cooperation under (61011120054), 2010-2012, RMB80,000