▪ Yanyun Qu*，Lin, Li，Shen, Fumin，Lu, Chang，Wu, Yang，Xie, Yuan，Tao, Dacheng
Joint hierarchical category structure learning and large-scale image classification [PDF]
IEEE Trans. on Image Processing, 26(9)：4331~4346, 2017.
★Academic Journals
▪ Xie Yuan, Tao Dacheng, Zhang Wensheng, Liu Yan, Zhang Lei, Yanyun Qu
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization [PDF]
International Journal of Computer Vision, 126(11): 1157–1179,2018.
▪ Xie Yuan, Zhang Wensheng, Yanyun Qu*, Dai Longquan, Tao Dacheng
Hyper-Laplacian regularized multilinear multi-view self-representations for clustering and semi-supervised Learning [PDF]
IEEE Trans. on Cybernetics, 2018.
▪ Chen Rong, Yanyun Qu*, Li Cuihua, Zeng Kun, Xie Yuan, Li Ce
Single-image super-resolution via joint statistic models-guided deep auto-encoder network [PDF]
Neural Computing and Application, 2018.
▪ Li Ce, Lu Bing, Zhang Yachao, Liu Hao, Yanyun Qu*, 3D reconstruction of indoor scenes via image registration, Neural Processing Letter, 48(3): 1281–1304, 2018.
▪ Qu Yanyun*，Lin, Li，Shen, Fumin，Lu, Chang，Wu, Yang，Xie, Yuan，Tao, Dacheng，Joint hierarchical category structure learning and large-scale image classification，IEEE Trans. on Image Processing, 26(9)：4331~4346, 2017.
▪ Yuan Xie, Wensheng Zhang, Dacheng Tao, Wenrui Hu, Yanyun Qu, Wensheng Zhang. Removing Turbulence Effect via Variational Model and Deformation-Guided Kernel Regression. IEEE Transactions on Image Processing, preprint, 2016.
▪ Yuan Xie, Yanyun Qu, Dacheng Tao, Weiwei Wu, Qiangqiang Yuan, Wensheng Zhang. Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization. IEEE Transactions on Geoscience and Remote Sensing, pp. 4642-4659, 54(8), 2016.
▪ Yuan Xie, Wensheng Zhang, Cuihua Li, Shuyang Lin, Yanyun Qu, Yinghua Zhang. Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning. IEEE Transactions on Cybernetics, pp. 539-553, 44(4), 2014..
▪ Yuan Xie, Wensheng Zhang, Yanyun Qu, Yinghua Zhang. Discriminative Subspace Learning with Sparse Representation View-based Model for Robust Visual Tracking. Pattern Recognition, pp. 1383-1394, 47(3), 2014..
▪ Jianmin Li, Yanyun Qu*, Cuihua Li, Yuan Xie, Yang Wu, Jianping Fan: Learning local Gaussian process regression for image super-resolution. Neurocomputing 154: 284-295 (2015).
▪ Jianmin Li, Yanyun Qu*, Cuihua Li, Yuan Xie, Image super-resolution based on multi-kernel regression, Multimed Tools Appl.,(DOI 10.1007/s11042-015-3016-4) .
▪ Y. Xie, Y. Qu*, C. Li, and W. Zhang, "Online multiple instance gradient feature selection for robust visual tracking," Pattern Recognition Letters, vol. 33, pp.1075-1082, 2012. (SCI).
▪ Y. Qu, S. Wu, H. Liu, Y. Xie, and H. Wang, "Evaluation of local features and classifiers in BOW model for image classification," Multimedia Tools and Applications, 2012. (SCI).
▪ Y. Qu, H. Liu, X. Yang, S. Fang, and H. Wang, "Weakly-supervised object localization in unlabeled image collection," Multimedia System, vol. 19, pp. 51-63, 2012. (SCI).
▪ L. Wei, Y. Huang, Y. Qu, L. Jiang, and Q. Zou, "Computational analysis of miRNA target identification," Current Bioinformatics, pp. 512-525, 2012. (SCI).
▪ L. Liu, Y. Qu, C. Li, and Y. Xie, "Multi-class spectral clustering based on particle swarm optimization," International Journal of Computer and Application, vol. 33, pp. 64-69, 2011.
★Conference/Workshop Proceedings:
▪ Yanyun Qu, Chen Yizi, Huang Jingying, Xie Yuan*, Dai Longquan, Enhanced pixel2pixel dehazing network, CVPR2019. (Accepted)
▪ Yanyun Qu, Chang Lu, Cuiting Shi, Jianping Fan, Yang Wu, Hanzi Wang, Hierarchical Learning for Large-scale Image Classification via CNN Feature and The Best Path, PCM2015.
▪ Yanyun Qu, Li Lin, Weiming Liao, Junran Liu, Yang Wu, Hanzi Wang,Text Localization with Hierarchical Multiple Feature Learning, PCM2015.
▪ Yanyun Qu, Baopeng Zhang, Jianping Fan, Parallel AP Clustering and Re-ranking for Automatic Image-Text Alignment and Large-Scale Web Image Search, ICMR2015, Shanghai.
▪ Tianyi Zhao, Yanyun Qu, Jianping Fan, Fast Learning Discriminative Dictionaries for Large-scale Visual Recognition, MMSP, 2015.
▪ Yan-Wen Zhou, Yanyun Qu, Yuan Xie, Wensheng Zhang: Image Super-Resolution Using Deep Belief Networks. ICIMCS 2014: 28.
▪ Wenrui Hu, Yuan Xie, Wensheng Zhang, Limin Zhu, Yanyun Qu, Yuanhua Tan: Image Denoising via Nonlocally Sparse Coding and Tensor Decomposition. ICIMCS 2014: 283.
▪ Li Lin, Yanyun Qu, Weimin Liao: Structure Context Clues for Chinese Text Detection. ICIMCS 2014: 327.
▪ Yanyun Qu，Liao Weimin, Lu Shen, Wu Shaojie, Hierarchical Text Detection: From Word Level to Character Level, MMM2013, Huangshan, January.
▪ W. Wu, Y. Qu, X. Yang, Traffic Sign Detection Based on Camera Imaging Apriority, PCM 2013，December.
▪ Y. Qu, M. Liao, Y. Zhou, T. Fang, L. Lin, H. Zhang, Image resolution based on Data-driven Gaussian Processing Regression, IsciDE2013, July.
▪ Y. Qu, S. Song, J. Yang, J. Li, Spatial Min-hash for Image Retrieval, ICIMCS2013, August.
▪ Han Liu, Yanyun Qu, Yang Wu, Hanzi Wang，Class-specified Segmentation with Multi-scale Superpixels，ACCV2012, Korea.
▪ Ying Gu, Yanyun Qu, Tianzhu Fang, Cuihua Li and Hanzi Wang, Image Super-Resolution based on Multikernel Regression, ICPR2012, Japan.
▪ Yang Xiaoqing, Yanyun Qu， Fang Suwen, Color Fused Multiple Features for Traffic Sign Recognition, ICIMCS2012, Wuhan, September.
▪ Yanyun Qu, Jiangjun Yang, Han Liu, Yi Xie, Cuihua Li, Instance-Level Landmark Labeling via Multi-layer Superpixels, PCM2012, Singapore, November.
▪ Fang Suwen, Yanyun Qu, Chen Chen, Song Shuyang, Object Localization Based on Discriminative Visual Words, ICMLC2012, July.
★Patents
▪ Qu Yanyun，Wu Weiwei，Xie Yuan，Atmosphere Turbulence Removal via total variation regularization, Application Number：CN104978721A, Patent application date：2015.10.14.
▪ Qu Yanyun, Lu Chang, Large-scale image classification based on deep learning feature and the most confident path, Application Number： CN104992191A, Patent application date：2015.10.21.
▪ Qu Yanyun，Zhou Yanwen, Zheng Huanhuan, Xie Yuan, Li Cuihua, Image super-resolution based on Deep Belief Network, Application Number： CN105069825A, Patent application date： 2015.11.18.