Journal Articles

[1]. S.Li,Z.Wang,L.Fang,and Q.Li*,”An Efficient Subspace Partition Method Using Curve Fitting for Hyperspectral Band Selection,”IEEE Geoscience and Remote Sensing Letters,Under Review.

[2]. S.Li,Z.Liu,L.Fang,and Q.Li*,”Structural Graph Learning Method for Hyperspectral Band Selection,”International Journal of Remote Sensing,Under Review.

[3]. S.Li,S.Wang,and Q.Li*,”Joint Posterior Probability Active Learning for Hyperspectral Image Classification”,Remote Sensing,vol.15,no.16,pp.3936,2023.

[4]. Q.Li,Y.Yuan,and Q.Wang,”Multiscale Factor Joint Learning for Hyperspectral Image Super Resolution,”IEEE Transactions on Geoscience and Remote Sensing,vol.61,pp.1-10,2023.

[5]. K.Zhuang,Q.Li,Y.Yuan,and Q.Wang,“Multidomain Adaptation for Motion Deblurring,”IEEE Transactions on Multimedia,DOI:10.1109/TMM.2023.3314154.

[6]. M.Zhang,Q.Li*,Y.Yuan,and Q.Wang,”Difference-Guided Aggregation Network with Multi-image Pixel Contrast for Change Detection,”IEEE Transactions on Geoscience and Remote Sensing,vol.61,pp.1-11,2023.

[7]. Q.Li,M.Gong,Y.Yuan,and Q.Wang,”RGB-induced Feature Modulation Network for Hyper-spectral Image Super-Resolution,”IEEE Transactions on Geoscience and Remote Sensing,vol.61,pp.1-11,2023.

[8]. S.Li,Z.Liu,L.Fang,and Q.Li*,”Block Diagonal Representation Learning for Hyperspectral Band Selection”,IEEE Transactions on Geoscience and Remote Sensing,vol.61,ppp.1-13,2023.

[9]. S.Li,B.Peng,L.Fang,Q.Zhang,L.Cheng,and Q.Li*,”Hyperspectral Band Selection via Difference Between Intergroups,”IEEE Transactions on Geoscience and Remote Sensing,vol.61,pp.1-12,2023.

[10]. M.Zhang,Q.Li,Y.Yuan,and Q.Wang,”Edge Neighborhood Contrastive Learning for Building Change Detection,”IEEE Geoscience and Remote Sensing Letters,vol. 20,pp. 1-5,2023.

[11]. Q.Li,Y.Yuan,X.Jia,and Q.Wang,”Dual-Stage Approach Toward Hyperspectral Image Super-Resolution,”IEEE Transactions on Image Processing,vol.31,pp. 7252-7263,2022.

[12]. Q.Li,M.Gong,Y.Yuan,and Q.Wang,”Symmetrical Feature Propagation Network for Hyper-spectral Image Super-Resolution,”IEEE Transactions on Geoscience and Remote Sensing,vol. 60.pp.1-12,2022.

[13]. S.Li,B.Peng,L.Fang,and Q.Li*,”Hyperspectral Band Selection via Optimal Combination Strategy,”Remote Sensing,vol.14,no.12,pp.2858,2022.

[14]. Y.Liu,Q.Li,Q.Du,Y.Yuan,and Q.Wang,”ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery,”IEEE Transactions on Geoscience and Remote Sensing,vol. 60,pp.1-14,2022.(Highly Cited Paper)

[15]. Q.Li,Q.Wang,and Y.Yuan,”Hyperspectral Image Super-Resolution via Multi-domain Feature Learning”,Neurocomputing,vol.472,pp.85-94,2022.

[16]. Y.Wu,K.Zhang,J.Wang,Y.Wang,Q.Wang,and Q.Li,”CDD-Net:A Context-Driven Detection Network for Multiclass Object Detection,”IEEE Geoscience and Remote Sensing Letters,vol.19, pp.1-5,2022.

[17]. Q.Li,Q.Wang,and X.Li,”Exploring the Relationship between 2D/3D Convolution for Hyper-spectral Image Super-Resolution,”IEEE Transactions on Geoscience and Remote Sensing, vol. 59,no.10,pp.8693-8703,2021.(Highly Cited Paper)

[18]. Q.Wang,Q.Li,and X.Li,”Hyperspectral Image Superresolution Using Spectrum and Feature Context,”IEEE Transactions on Industrial Electronics,vol.68,no.11,pp.11276-11285,2021.

[19]. Q.Li,Q.Wang,and X.Li,”Mixed 2D/3D Convolutional Network for Hyperspectral Image Super Resolution,”Remote Sensing,vol. 12,no. 10,pp. 1660,2020.

[20]. Q.Wang,Q.Li,and X.Li,”A Fast Neighborhood Grouping Method for Hyperspectral Band Selection,”IEEE Transactions on Geoscience and Remote Sensing,vol.59,no.6,pp.5028-5039, 2021.(Highly Cited Paper)

[21]. Q.Wang,Q.Li,and X.Li,”Hyperspectral Band Selection via Adaptive Subspace Partition Strat-egy,”IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol.12,no.12,pp.4940-4950,2019.

[22] Q.Li,Q.Wang,and X.Li,”An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor,”Remote Sensing,vol.11,no.3,pp.350,2019.

Conference Papers

[1]. Y.Liu,Q.Li,Y.Yuan,and Q.Wang,”Single-Shot Balanced Detector for Geospatial Object Detection,”in Proc.IEEE International Conference on Acoustic,Speech,and Signal Processing, 2022,pp.2529-2533.(CCF B)

[2]. Q.Li,Q.Wang,and X.Li,”Hyperspectral Image Super-Resolution via Multi-Domain Feature Learning,”in Proc.IEEE International Geoscience and Remote Sensing Symposium,2021,pp. 4135-4138.

[3]. Q.Li,Q.Wang,and X.Li,”Hyperspectral Image Super-Resolution via Adjacent Spectral Fusion Strategy,”in Proc.IEEE International Conference on Acoustic,Speech,and Signal Processing, 2021,pp.1645-1649.(CCF B)

PATENTS

[1]. Q.Li,Q.Wang,and Y.Yuan,”Multiscale Factor Joint Learning for Hyperspectral Image Super Resolution,”Application Number:CN202111065548.0.

[2]. Q.Wang,Q.Li,and Y.Yuan,”Dual-Stage Strategy for Hyperspectral Image Super-Resolution,” Application Number: CN202111065548.0.

[3]. Q.Wang,X.Li,and Q.Li,”Hyperspectral Optimal Band Selection via Shared Nearest Neighbor,” Authorization Number: CN109871768B.

[4]. Z.Liu,Q.Li,C.Shen,J.Wang,N.Yang,J.Xu,J.Hu,R.Wang,and S.Lin,”An Automobile ECU Moisture Detection Device,”Authorization Number:CN205538878U.