A novel multiple kernel boosting method for hyperspectral image classification. - Huan Liu; Tianzhu Liu; Yanfeng Gu (IGARSS, 2015)

Improved neighborhood similar pixel interpolator for filling unsacn multi-temporal Landsat ETM+ data without reference. - Guoming Gao; Tianzhu Liu; Yanfeng Gu (IGARSS, 2016)

Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification. - Yanfeng Gu; Tianzhu Liu; Xiuping Jia; Jón Atli Benediktsson; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2016)

Class-Specific Sparse Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification. - Tianzhu Liu; Yanfeng Gu; Xiuping Jia; Jón Atli Benediktsson; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2016)

Multi-temporal images classification with evidential fusion of manifold alignment. - Meiling Zhang; Tianzhu Liu; Guoming Gao; Yanfeng Gu (IGARSS, 2017)

Multimorphological Superpixel Model for Hyperspectral Image Classification. - Tianzhu Liu; Yanfeng Gu; Jocelyn Chanussot; Mauro Dalla Mura (IEEE Trans. Geosci. Remote. Sens., 2017)

Multi-Attribute Super-Tensor Model for Remote Sensing Image Classification with High Spatial Resolution. - Tianzhu Liu; Yanfeng Gu (IGARSS, 2018)

Unsupervised Temporal-Adaptation with Multiple Geodesic Flow Kernels for Hyperspectral Image Classification. - Tianzhu Liu; Yanfeng Gu (IGARSS, 2019)

Superpixel Tensor Model for Spatial-Spectral Classification of Remote Sensing Images. - Yanfeng Gu; Tianzhu Liu; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2019)

Intrinsic Image Recovery From Remote Sensing Hyperspectral Images. - Xudong Jin; Yanfeng Gu; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2019)

Unsupervised Cross-Temporal Classification of Hyperspectral Images With Multiple Geodesic Flow Kernel Learning. - Tianzhu Liu; Xiangrong Zhang; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2019)

Multitemporal Change Type Identification in Coastal Zone Based on SFANet and LSTM. - Tianzhu Liu; Min Yang; Meiling Zhang (IGARSS, 2021)

Multimodal hyperspectral remote sensing: an overview and perspective. - Yanfeng Gu; Tianzhu Liu; Guoming Gao; Guangbo Ren; Yi Ma; Jocelyn Chanussot; Xiuping Jia (Sci. China Inf. Sci., 2021)

Integrating Coupled Dictionary Learning and Distance Preserved Probability Distribution Adaptation for Multispectral-Hyperspectral Image Collaborative Classification. - Bin Guo 015; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2022)

Supervoxel-Based Intrinsic Scene Properties From Hyperspectral Images and LiDAR. - Xudong Jin; Yanfeng Gu; Tianzhu Liu; Wen Xie (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral Reconstruction Network From Multispectral Images to Hyperspectral Images: A Multitemporal Case. - Tianshuai Li; Tianzhu Liu; Yukun Wang; Xian Li 001; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2022)

Separable Coupled Dictionary Learning for Large-Scene Precise Classification of Multispectral Images. - Tianzhu Liu; Yanfeng Gu; Wenyong Yu; Xiuping Jia; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Multispectral Point Cloud Classification Network Based on Multilateral Attention. - Bangyan Hu; Xian Li 001; Tianzhu Liu (WHISPERS, 2023)

An LP-based characterization of solvable QAP instances with chess-board and graded structures. - Lucas A. Waddell; Jerry L. Phillips; Tianzhu Liu; Swarup Dhar (J. Comb. Optim., 2023)

Distilling Segmenters From CNNs and Transformers for Remote Sensing Images' Semantic Segmentation. - Zhe Dong; Guoming Gao; Tianzhu Liu; Yanfeng Gu; Xiangrong Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatial and Semantic Consistency Contrastive Learning for Self-Supervised Semantic Segmentation of Remote Sensing Images. - Zhe Dong; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral Reconstruction From Satellite Multispectral Imagery Using Convolution and Transformer Joint Network. - Dakuan Du; Yanfeng Gu; Tianzhu Liu; Xian Li 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Intrinsic Decomposition Embedded Spectral Unmixing for Satellite Hyperspectral Images With Endmembers From UAV Platform. - Yanfeng Gu; Yanyuan Huang; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

Structure Preserved Discriminative Distribution Adaptation for Multihyperspectral Image Collaborative Classification. - Bin Guo 015; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Intrinsic Image Decomposition Based on Physical Prior-Driven Unsupervised Learning. - Wen Xie; Yanfeng Gu; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

Shadow-Less Intrinsic Hyperspectral Point Cloud Generation From HSIs and LiDAR. - Wen Xie; Xudong Jin; Yanfeng Gu; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

Heterogeneous Open-Set Cross-Domain Manifold Embedding Aligned for HSI-MSI Collaborative Classification. - Bin Guo 015; Xiangrong Zhang; Tianzhu Liu; Yanfeng Gu (IGARSS, 2024)

A Multimodal Hyperspectral Unmixing Method Under Spectral Variability. - Yanyuan Huang; Yanfeng Gu; Tianzhu Liu (IGARSS, 2024)

Multi-sensor multispectral reconstruction framework based on projection and reconstruction. - Tianshuai Li; Tianzhu Liu; Xian Li 001; Yanfeng Gu; Yukun Wang; Yushi Chen (Sci. China Inf. Sci., 2024)

Rethinking the Evaluation of Visible and Infrared Image Fusion. - Dayan Guan; Yixuan Wu; Tianzhu Liu; Alex C. Kot; Yanfeng Gu (CoRR, 2024)

Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation. - Zhe Dong; Yuzhe Sun; Yanfeng Gu; Tianzhu Liu (CoRR, 2024)

An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds. - Tianzhu Liu; Bangyan Hu; Yanfeng Gu; Xian Li 001; Aleksandra Pizurica (CoRR, 2024)

Generative ConvNet Foundation Model With Sparse Modeling and Low-Frequency Reconstruction for Remote Sensing Image Interpretation. - Zhe Dong; Yanfeng Gu; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

UPetu: A Unified Parameter-Efficient Fine-Tuning Framework for Remote Sensing Foundation Model. - Zhe Dong; Yanfeng Gu; Tianzhu Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multimodal Unified Representation Learning Framework With Masked Image Modeling for Remote Sensing Images. - Dakuan Du; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

Few-Shot Multispectral-Hyperspectral Image Collaborative Classification With Feature Distribution Enhancement and Subdomain Alignment. - Bin Guo 015; Tianzhu Liu; Xiangrong Zhang; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

Few-Shot Open-Set Collaborative Classification of Multispectral and Hyperspectral Images With Adaptive Joint Similarity Metric. - Bin Guo 015; Xiangrong Zhang; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral Reconstruction for Paired Images Based on Semi-Supervised Deep Learning. - Tianshuai Li; Tianzhu Liu; Yanfeng Gu; Yushi Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Domain Adaptation for Cross-Scene Multispectral Point Cloud Classification. - Qingwang Wang; Mingye Wang; Jiangbo Huang; Tianzhu Liu; Tao Shen 004; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

Intrinsic Hyperspectral Image Recovery for UAV Strips Stitching. - Wen Xie; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

A Multi-Hyperspectral Image Collaborative Mapping Model Based on Adaptive Learning for Fine Classification. - Xiangrong Zhang; Zitong Liu; Xianhao Zhang; Tianzhu Liu (Remote. Sens., 2024)

Digital Surface Model-Embedded Intrinsic Hyperspectral Unmixing. - Yanyuan Huang; Tianzhu Liu; Yanfeng Gu (IEEE Trans. Geosci. Remote. Sens., 2025)

A Sub-Pixel Coupled Dictionary Learning Method for Large-Scale and High-Spatial-Resolution Satellite Hyperspectral Image Reconstruction. - Tianzhu Liu; Zitong Liu; Xianhao Zhang; Yanfeng Gu; Jian Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation. - Zhe Dong; Yuzhe Sun; Tianzhu Liu; Wangmeng Zuo; Yanfeng Gu (CoRR, 2025)

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models. - Zhe Dong; Yuzhe Sun; Tianzhu Liu; Yanfeng Gu (CoRR, 2025)

HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multi-Granularity Interpretation and Cross-Domain Transfer. - Tianlong Ai; Tianzhu Liu; Haochen Jiang; Yanfeng Gu (CoRR, 2025)