武汉大学智能感知与机器学习组

期刊论文

S. Chang, B. Du and L. Zhang. A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 4033-4046, 2020.
M. Lan, et al. Global context based automatic road segmentation via dilated convolutional neural network. Information Sciences, vol 535, pp. 156-171, 2020.
N. Wang, et al. Multistage attention network for image inpainting. Pattern Recognition, vol. 106, pp. 107448, 2020.
D. Wang, et al. Hyperspectral image classification based on multi-scale information compensation. Remote Sensing Letters, vol. 11, no. 3, pp. 293-302, 2020.
X. Huang, et al. Spatial-spectral weighted nuclear norm minimization for hyperspectral image denoising. Neurocomputing , vol. 399, pp. 271-284, 2020.
J. Ma, Y. Zhang and L. Zhang. Discriminative subspace matrix factorization for multiview data clustering. Pattern Recognition, vol. 111, pp. 107676, 2021.
L. Ru, B. Du and C. Wu. Multi-Temporal Scene Classification and Scene Change Detection With Correlation Based Fusion. IEEE Transactions on Image Processing, vol. 30, pp. 1382-1394, 2021.
N. Wang, Y. Zhang and L. Zhang. Dynamic Selection Network for Image Inpainting. IEEE Transactions on Image Processing.
X. Zhang, Z. Wang and B. Du. Deep Dynamic Interest Learning with Session Local and Global Consistency for Click-Through Rate Predictions. IEEE Transactions on Industrial Informatics.
D. Zhu, B. Du and L. Zhang. Single Spectrum Driven Binary-class Sparse Representation Target Detector for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing.
D. Zhu, B. Du and L. Zhang. Two-Stream Convolutional Networks for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing.
D. Wang, et al. Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.
L. Tong, et al. Hyperspectral Endmember Extraction by (μ+λ) Multiobjective Differential Evolution Algorithm Based on Ranking Multiple Mutations. IEEE Transactions on Geoscience and Remote Sensing.
Y. Xu, B. Du and L. Zhang. Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses. IEEE Transactions on Geoscience and Remote Sensing.

Tong, Lyuyang, et al. "An Improved Multiobjective Discrete Particle Swarm Optimization for Hyperspectral Endmember Extraction". IEEE Transactions on Geoscience and Remote Sensing (2019).
Zhu, Dehui, Bo Du, and Liangpei Zhang. "Binary-Class Collaborative Representation for Target Detection in Hyperspectral Images." IEEE Geoscience and Remote Sensing Letters (2019).
Zhu, Dehui, Bo Du, and Liangpei Zhang. "Target Dictionary Construction-Based Sparse Representation Hyperspectral Target Detection Methods." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019).
Zhang, Lefei, et al. "Nonlocal Low-Rank Tensor Completion for Visual Data." IEEE transactions on cybernetics (2019).
Zhang, Lefei, et al. "Hyperspectral image unsupervised classification by robust manifold matrix factorization." Information Sciences 485 (2019): 154-169.
Du, Bo, et al. "Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker." arXiv preprint arXiv:1804.09323 (2018).
Xu, Yonghao, et al. "Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019).
Xu, Yonghao, Bo Du, and Liangpei Zhang. "Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperpsectral Image Classificaiton." IEEE Transactions on Big Data (2019).
Wang, Zengmao, , et al. "Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning." IEEE Transactions on Knowledge and Data Engineering (2019).
Wang, Zengmao, et al. "Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters (2019).
Liu, Weiwei, et al. "Hyperspectral Imagery Classification via Stochastic HHSVMs." IEEE Transactions on Image Processing 28.2 (2018): 577-588.
Wang, Ziye, Yanni Dong, and Renguang Zuo. "Mapping geochemical anomalies related to Fe–polymetallic mineralization using the maximum margin metric learning method." Ore Geology Reviews 107 (2019): 258-265.
Wang, Ziye, Renguang Zuo, and Yanni Dong. "Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods." Natural Resources Research (2019): 1-14.
Zhang, Yuxiang, et al. "Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019).
Cheng, Qian, et al. "ANSGA-III: A Multiobjective Endmember Extraction Algorithm for Hyperspectral Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019).
Du, Bo, Qiuci Wei, and Rong Liu. "An Improved Quantum-Behaved Particle Swarm Optimization for Endmember Extraction." IEEE Transactions on Geoscience and Remote Sensing (2019).
Li, Xue, et al. "Iterative Privileged Learning." IEEE transactions on neural networks and learning systems (2019).
Xu, Mingming, Bo Du, and Yanguo Fan. "Endmember Extraction From Highly Mixed Data Using Linear Mixture Model Constrained Particle Swarm Optimization." IEEE Transactions on Geoscience and Remote Sensing (2019).
Chenhong, Ruixuan, et al. "Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images." IEEE Transactions on Image Processing (2019).
Shao, Jia, Bo Du, Chen Wu. "Can We Track Targets from the Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video." IEEE Transactions on Geoscience and Remote Sensing (2019).
Shao, Jia, Bo Du, Chen Wu. "Tracking Objects From Satellite Videos: A Velocity Feature Based Correlation Filter". IEEE Transactions on Geoscience and Remote Sensing (2019).

Chang, Shizhen, Bo Du, and Liangpei Zhang. "BASO: A background-anomaly component projection and separation optimized filter for anomaly detection in hyperspectral images." IEEE Transactions on Geoscience and Remote Sensing 56.7 (2018): 3747-3761.
Dong, Yanni, et al. "Hyperspectral Target Detection via Adaptive Information—Theoretic Metric Learning with Local Constraints." Remote Sensing 10.9 (2018): 1415.
Du, Bo, et al. "Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker." arXiv preprint arXiv:1804.09323 (2018).
Du, Bo, Zhiqiang Huang, and Nan Wang. "A Bandwise Noise Model Combined With Low-Rank Matrix Factorization for Hyperspectral Image Denoising." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11.4 (2018): 1070-1081.
Du, Bo, et al. "Joint weighted nuclear norm and total variation regularization for hyperspectral image denoising." International journal of remote sensing 39.2 (2018): 334-355.
Du, Bo, et al. "Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images." arXiv preprint arXiv:1812.00645 (2018).
Du, Bo, et al. "Object Tracking in Satellite Videos by Fusing the Kernel Correlation Filter and the Three-Frame-Difference Algorithm." IEEE Geoscience and Remote Sensing Letters 15.2 (2018): 168-172.
Du, Bo, et al. "Robust graph-based semisupervised learning for noisy labeled data via maximum correntropy criterion." IEEE transactions on cybernetics 99 (2018): 1-14.
Du, Bo, et al. "Multi-task learning for blind source separation." IEEE Transactions on Image Processing 27.9 (2018): 4219-4231.
Du, Bo, et al. "Unsupervised Scene Change Detection via Latent Dirichlet Allocation and Multivariate Alteration Detection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11.12 (2018): 4676-4689.
Fu, Chuan, Yaohua Yi, and Fulin Luo. "Hyperspectral image compression based on simultaneous sparse representation and general-pixels." Pattern Recognition Letters 116 (2018): 65-71.
Li, Xue, et al. "On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2018).
Luo, Fulin, et al. "Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral image." IEEE transactions on cybernetics 99 (2018): 1-14.
Luo, Fulin, et al. "Adaptive Weighted Total Variation Minimization Based Alternating Direction Method of Multipliers for Limited Angle CT Reconstruction." IEEE Access 6 (2018): 64225-64236.
Sun, Weiwei, et al. "A randomized subspace learning based anomaly detector for hyperspectral imagery." Remote Sensing 10.3 (2018): 417.
Tang, Xinyao, et al. "On combining active and transfer learning for medical data classification." IET Computer Vision 13.2 (2018): 194-205.
Wu, Chen, Bo Du, and Liangpei Zhang. "Hyperspectral anomalous change detection based on joint sparse representation." ISPRS Journal of Photogrammetry and Remote Sensing 146 (2018): 137-150.
Wu, Ke, et al. "Hyperspectral image target detection via integrated background suppression with adaptive weight selection." Neurocomputing 315 (2018): 59-67.
Xu, Yonghao, et al. "Hyperspectral image classification via a random patches network." ISPRS journal of photogrammetry and remote sensing 142 (2018): 344-357.
Xu, Yonghao, et al. "Spectral-spatial unified networks for hyperspectral image classification." IEEE Transactions on Geoscience and Remote Sensing 99 (2018): 1-17.
Zhang, Lefei, et al. "Simultaneous spectral-spatial feature selection and extraction for hyperspectral images." IEEE transactions on cybernetics 48.1 (2018): 16-28.
Zhu, Qikui, et al. "Exploiting interslice correlation for MRI prostate image segmentation, from recursive neural networks aspect." Complexity 2018 (2018).
Zhu, Qikui, et al. "Shape prior constrained PSO model for bladder wall MRI segmentation." Neurocomputing 294 (2018): 19-28.
董燕妮, et al. "基于局域自适应信息理论测度学习的高光谱目标探测方法." 武汉大学学报信息科学版 43.8 (2018): 1271-1277.

Zhao Rui, et al. "GSEAD: Graphical Scoring Estimation for Hyperspectral Anomaly Detection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017): 1-15.
Liu Rong, et al. "Multiobjective Optimized Endmember Extraction for Hyperspectral Image." Remote Sensing 9.6 (2017): 558.
Chang Shizhen, et al. "IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017): 1-12.
Zhang, Yiming, et al. "Spatially Adaptive Sparse Representation for Target Detection in Hyperspectral Images." IEEE Geoscience and Remote Sensing Letters (2017): 1-5.
Sun, Weiwei, et al. "A Poisson nonnegative matrix factorization method with parameter subspace clustering constraint for endmember extraction in hyperspectral imagery." ISPRS Journal of Photogrammetry and Remote Sensing 128 (2017): 27-39.
Dong, Yanni, et al. "Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning." IEEE Transactions on Geoscience and Remote Sensing 55.5 (2017): 2509-2524.
Dong, Yanni, et al. "LAM 3 L: Locally adaptive maximum margin metric learning for visual data classification." Neurocomputing 235 (2017): 1-9.
Sun, Weiwei, et al. "A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification." IEEE Transactions on Geoscience and Remote Sensing (2017).
Wu, Chen, Liangpei Zhang, and Bo Du. "Kernel slow feature analysis for scene change detection." IEEE Transactions on Geoscience and Remote Sensing 55.4 (2017): 2367-2384.
Du, Bo, et al. "Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion." IEEE Transactions on Image Processing 26.4 (2017): 1694-1707.
Du, Bo, et al. "Stacked convolutional denoising auto-encoders for feature representation." IEEE transactions on cybernetics 47.4 (2017): 1017-1027.
Wang, Zengmao, et al. "A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2017).
Li, Xue, et al. "Iterative Reweighting Heterogeneous Transfer Learning Framework for Supervised Remote Sensing Image Classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017).
Dong, Yanni, et al. "Exploring locally adaptive dimensionality reduction for hyperspectral image classification: A maximum margin metric learning aspect." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10.3 (2017): 1136-1150.
Xiong, Wei, et al. "Combining local and global: Rich and robust feature pooling for visual recognition." Pattern Recognition 62 (2017): 225-235.
Xu, Mingming, et al. "A Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization Algorithm for Hyperspectral Endmember Extraction." Remote Sensing 9.3 (2017): 197.
Zhao, Rui, Bo Du, and Liangpei Zhang. "Hyperspectral Anomaly Detection via a Sparsity Score Estimation Framework." IEEE Transactions on Geoscience and Remote Sensing (2017).
Zhang, Yuxiang, et al. "Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection." IEEE Transactions on Geoscience and Remote Sensing 55.2 (2017): 894-906.
Liu, Rong, Liangpei Zhang, and Bo Du. "A Novel Endmember Extraction Method for Hyperspectral Imagery Based on Quantum-Behaved Particle Swarm Optimization." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017).
Du, Bo, et al. "PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images." IEEE Transactions on Multimedia 19.1 (2017): 67-79.
Du, Bo, et al. "Exploring representativeness and informativeness for active learning." IEEE transactions on cybernetics 47.1 (2017): 14-26.

Zhao, Rui, et al. "A robust background regression based score estimation algorithm for hyperspectral anomaly detection." ISPRS Journal of Photogrammetry and Remote Sensing 122 (2016): 126-144.
Du, Bo, et al. "Beyond the sparsity-based target detector: A hybrid sparsity and statistics-based detector for hyperspectral images." IEEE Transactions on Image Processing 25.11 (2016): 5345-5357.
Du, Bo, et al. "Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach." Neurocomputing 204 (2016): 153-161.
Zhang, Fan, et al. "Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection." IEEE Transactions on Geoscience and Remote Sensing 54.9 (2016): 5553-5563.
Du, Bo, et al. "A spectral-spatial based local summation anomaly detection method for hyperspectral images." Signal Processing 124 (2016): 115-131.
Liu, Rong, Bo Du, and Liangpei Zhang. "Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF." Remote Sensing 8.6 (2016): 464.
Zhang, Fan, et al. "Hierarchical feature learning with dropout k-means for hyperspectral image classification." Neurocomputing 187 (2016): 75-82.
Zhao, Rui, et al. "Beyond Background Feature Extraction: An Anomaly Detection Algorithm Inspired by Slowly Varying Signal Analysis." IEEE Transactions on Geoscience and Remote Sensing 54.3 (2016): 1757-1774.
Zhang, Fan, Bo Du, and Liangpei Zhang. "Scene classification via a gradient boosting random convolutional network framework." IEEE Transactions on Geoscience and Remote Sensing 54.3 (2016): 1793-1802.
Zhang, Yuxiang, et al. "A low-rank and sparse matrix decomposition-based Mahalanobis distance method for hyperspectral anomaly detection." IEEE Transactions on Geoscience and Remote Sensing 54.3 (2016): 1376-1389.
Wang, Zengmao, et al. "A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification." Neurocomputing 179 (2016): 88-100.
Xu, Mingming, et al. "An image-based endmember bundle extraction algorithm using reconstruction error for hyperspectral imagery."Neurocomputing 173 (2016): 397-405.
Wang, Zengmao, et al. "A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification." Neurocomputing 179.C(2016):88-100.

Wang, Nan, et al. "An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing." IEEE Transactions on Geoscience and Remote Sensing 53.1(2015):416-428.
Dong, Yanni, et al. "Maximum margin metric learning based target detection for hyperspectral images." ISPRS Journal of Photogrammetry and Remote Sensing 108(2015):138-150.
Zhang, Yuxiang, B. Du, and L. Zhang. "A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images."IEEE Transactions on Geoscience and Remote Sensing 53.3(2015):1346-1354.
Dong, Yanni, B. Du, and L. Zhang. "Target Detection Based on Random Forest Metric Learning." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8.4(2015):1830-1838.
Du, Bo, et al. "A hypothesis independent subpixel target detector for hyperspectral Images." Signal Processing 110(2015):244-249.
Zhang, Lefei, et al. "A sparse and discriminative tensor to vector projection for human gait feature representation." Signal Processing106.C(2015):245–252.
Zhang, Lefei, et al. "Compression of hyperspectral remote sensing images by tensor approach." Neurocomputing 147.1(2015):358–363.
Wu, Chen, L. Zhang, and B. Du. "Hyperspectral anomaly change detection with slow feature analysis." Neurocomputing 151(2015):175-187.
Shi, Qian, B. Du, and L. Zhang. "Spatial coherence-based batch-mode active learning for remote sensing image classification. " IEEE Transactions on Image Processing 24.7(2015):2037.
Zhang, Lefei, et al. "Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding." Pattern Recognition 48.10(2015):3102-3112.

Zhang, Fan, B. Du, and L. Zhang. "Saliency-Guided Unsupervised Feature Learning for Scene Classification." IEEE Transactions on Geoscience and Remote Sensing 53.4(2014):2175-2184.
Du, Bo, and Liangpei Zhang. "A discriminative metric learning based anomaly detection method." IEEE Transactions on Geoscience and Remote Sensing 52.11 (2014): 6844-6857.
Zhang, Lefei, et al. "Hyperspectral remote sensing image subpixel target detection based on supervised metric learning." IEEE Transactions on Geoscience and Remote Sensing 52.8 (2014): 4955-4965.
Wang, Ting, Bo Du, and Liangpei Zhang. "An automatic robust iteratively reweighted unstructured detector for hyperspectral imagery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7.6 (2014): 2367-2382.
Xu, Mingming, Bo Du, and Liangpei Zhang. "Spatial-spectral information based abundance-constrained endmember extraction methods." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7.6 (2014): 2004-2015.
Wu, Chen, Bo Du, and Liangpei Zhang. "Slow feature analysis for change detection in multispectral imagery." IEEE Transactions on Geoscience and Remote Sensing 52.5 (2014): 2858-2874.
Zhao, Rui, Bo Du, and Liangpei Zhang. "A robust nonlinear hyperspectral anomaly detection approach." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7.4 (2014): 1227-1234.
Du, Bo, and Liangpei Zhang. "Target detection based on a dynamic subspace." Pattern Recognition 47.1 (2014): 344-358.
Liu, Rong, Bo Du, and Liangpei Zhang. "Endmember number estimation for hyperspectral imagery based on vertex component analysis." Journal of Applied Remote Sensing 8.1 (2014): 085093-085093.
Zhang, Yuxiang, Bo Du, and Liangpei Zhang. "Regularization framework for target detection in hyperspectral imagery." IEEE Geoscience and Remote Sensing Letters 11.1 (2014): 313-317.
Du, Bo, et al. "Unsupervised transfer learning for target detection from hyperspectral images." Neurocomputing 120 (2013): 72-82.
Wang, Ting, Bo Du, and Liangpei Zhang. "A background self-learning framework for unstructured target detectors." IEEE Geoscience and Remote Sensing Letters 10.6 (2013): 1577-1581.
Shi, Qian, Liangpei Zhang, and Bo Du. "Semisupervised discriminative locally enhanced alignment for hyperspectral image classification." IEEE Transactions on Geoscience and Remote Sensing 51.9 (2013): 4800-4815.
Du, Bo, and Liangpei Zhang. "Random-selection-based anomaly detector for hyperspectral imagery." IEEE Transactions on Geoscience and Remote sensing 49.5 (2011): 1578-1589.

会议论文

J. Li, N. Wang, L. Zhang, B. Du and D. Tao. Recurrent Feature Reasoning for Image Inpainting. CVPR 2020.
G. Wan, S. Pan, C. Gong, C. Zhou and G.Haffari. Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI 2020.
X. Huang, B. Du and W. Liu. Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization. IJCAI 2020.
J. Ye, Z. Chen, J. Liu and B. Du. TextFuseNet: Scene Text Detection with Richer Fused Features. IJCAI 2020.
S. Chang, B. Du and L. Zhang. Positive Unlabeled Learning with Class-prior Approximation. IJCAI 2020
M. Lan, Y. Zhang, Q. Xu and L. Zhang. E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation. IJCAI 2020.
Z. Chen, M. Gong, L. Ge and B. Du. Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. IJCAI 2020.
Y. Zhang, B. Du, L. Zhang and J. Wu. Parallel DNN Inference Framework Leveraging a Compact RISC-V ISA-based Multi-core System. KDD 2020.
Z. Chen, M. Gong, Y. Xu, C. Wang, K. Zhang and B. Du. Compressed Self-Attention for Deep Metric Learning. AAAI 2020.
L. Gao, et al. Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation. AAAI 2021.
G. Wan, et al. GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning. AAAI 2021.
Z. Liu, et al. RNA secondary structure representation network for RNA-proteins binding prediction. AAAI 2021.
Liu, Weiwei, and Xiaobo Shen. "Sparse Extreme Multi-label Learning with Oracle Property." International Conference on Machine Learning. 2019.
Li, Sheng, et al. "Fast Spatio-Temporal Residual Network for Video Super-Resolution." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019).
Wang, Ning, et al. "MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting." Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. 2019.
Ma, Jiaqi, et al. "Pseudo Supervised Matrix Factorization in Discriminative Subspace." Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. 2019.
Zhang, Yipeng, et al. "Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure." Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. 2019.
Shao, Jia, Bo Du, Chen Wu. "PASIAM: Predicting Attention Inspired Siamese Network, for Space-borne Satellite Video Tracking, A Hybrid Kernel Correlation Filter Tracker for Satellite Video." IEEE International Conference on Multimedia and Expo. 2019.

发明专利

一种高光谱遥感影像异常探测方法（专利获批号：201010130302，专利已经成功转让。）
一种慢特征分析的高光谱影像变化检测方法（专利号：201310689353.2）
一种基于量子粒子群的高光谱遥感影像端元提取方法（专利号：201610157103.8）
一种基于非局部和低秩分解的高光谱图像压缩方法（专利号：201610157079.8）
一种高光谱影像目标探测方法（专利号：201610156117.8）
一种高光谱遥感影像端元提取方法（专利号：201610156222.1）
基于稳健背景回归的高光谱遥感影像异常目标探测方法（专利号：201610156116.3）
一种基于图构造的高光谱遥感影像异常目标探测方法（专利号：201610156118.2）
一种基于量子粒子群算法的高光谱图像端元提取算法（专利号：201610205990.1）
一种高光谱图像混合像元分解算法（专利号：201610206981.4）