Intelligent Analysis for Georeferenced Video Using Context-Based Random Graphs. - Jiangfan Feng; Hu Song (Int. J. Distributed Sens. Networks, 2013)

An Explicit Sparse Mapping for Nonlinear Dimensionality Reduction. - Ying Xia; Qiang Lu; Jiangfan Feng; Hae-Young Bae (RSKT, 2014)

An Efficient Method for Automatic Video Annotation and Retrieval in Visual Sensor Networks. - Jiangfan Feng; Wenwen Zhou (Int. J. Distributed Sens. Networks, 2014)

Multimedia Fusion for Public Security in Heterogeneous Sensor Networks. - Jiangfan Feng; Wenwen Zhou; Kaixin Sun (J. Sensors, 2014)

Intelligent Context-Aware and Adaptive Interface for Mobile LBS. - Jiangfan Feng; Yanhong Liu (Comput. Intell. Neurosci., 2015)

Bag of Visual Words Model with Deep Spatial Features for Geographical Scene Classification. - Jiangfan Feng; Yuanyuan Liu 006; Lin Wu (Comput. Intell. Neurosci., 2017)

Geographical topic learning for social images with a deep neural network. - Jiangfan Feng; Xin Xu (J. Electronic Imaging, 2017)

Distributed controllers multi-granularity security communication mechanism for software-defined networking. - Fengjun Shang; Yan Li; Qiang Fu; Wenkai Wang; Jiangfan Feng; Li He (Comput. Electr. Eng., 2018)

Scene Semantic Recognition Based on Probability Topic Model. - Jiangfan Feng; Amin Fu (Inf., 2018)

A Multibranch Object Detection Method for Traffic Scenes. - Jiangfan Feng; Fanjie Wang; Siqin Feng; Yongrong Peng (Comput. Intell. Neurosci., 2019)

Image-Text Joint Learning for Social Images with Spatial Relation Model. - Jiangfan Feng; Xuejun Fu; Yao Zhou; Yuling Zhu; Xiaobo Luo (Complex., 2020)

Anomaly Detection in Videos Using Two-Stream Autoencoder with Post Hoc Interpretability. - Jiangfan Feng; Yukun Liang; Lin Li (Comput. Intell. Neurosci., 2021)

Improved Deep Hashing with Scalable Interblock for Tourist Image Retrieval. - Jiangfan Feng; Wenzheng Sun (Sci. Program., 2021)

LRB-Net: Improving VQA via division of labor strategy and multimodal classifiers. - Jiangfan Feng; Ruiguo Liu (Displays, 2022)

An Adaptive Embedding Network with Spatial Constraints for the Use of Few-Shot Learning in Endangered-Animal Detection. - Jiangfan Feng; Juncai Li (ISPRS Int. J. Geo Inf., 2022)

Crowd Anomaly Detection via Spatial Constraints and Meaningful Perturbation. - Jiangfan Feng; Dini Wang; Li Zhang (ISPRS Int. J. Geo Inf., 2022)

Bidirectional Flow Decision Tree for Reliable Remote Sensing Image Scene Classification. - Jiangfan Feng; Dini Wang; Zhujun Gu (Remote. Sens., 2022)

A Stage-Adaptive Selective Network with Position Awareness for Semantic Segmentation of LULC Remote Sensing Images. - Wei Zheng; Jiangfan Feng; Zhujun Gu; Maimai Zeng (Remote. Sens., 2023)

Cross-language lipreading by reconstructing Spatio-Temporal relations in 3D convolution. - Jiangfan Feng; Renhua Long (Displays, 2023)

SMBCNet: A Transformer-Based Approach for Change Detection in Remote Sensing Images through Semantic Segmentation. - Jiangfan Feng; Xinyu Yang; Zhujun Gu; Maimai Zeng; Wei Zheng (Remote. Sens., 2023)

Improving visual question answering for remote sensing via alternate-guided attention and combined loss. - Jiangfan Feng; Etao Tang; Maimai Zeng; Zhujun Gu; Pinglang Kou; Wei Zheng (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Enhancing aspect-based sentiment analysis using a dual-gated graph convolutional network via contextual affective knowledge. - Hongtao Liu; Yiming Wu; Qingyu Li; Wanying Lu; Xin Li; Jiahao Wei; Xueyan Liu 006; Jiangfan Feng (Neurocomputing, 2023)

Reconstructing graph networks by using new target representation for aspect-based sentiment analysis. - Hongtao Liu; Yiming Wu; Cong Liang 006; Qingyu Li; Kefei Cheng; Xueyan Liu 006; Jiangfan Feng (Knowl. Based Syst., 2023)

HELViT: highly efficient lightweight vision transformer for remote sensing image scene classification. - Dongen Guo; Zechen Wu; Jiangfan Feng; Zhuoke Zhou; Zhen Shen (Appl. Intell., 2023)

MDSNet: a multiscale decoupled supervision network for semantic segmentation of remote sensing images. - Jiangfan Feng; Panyu Chen; Zhujun Gu; Maimai Zeng; Wei Zheng (Int. J. Digit. Earth, 2023)

A Novel Building Extraction Network via Multi-Scale Foreground Modeling and Gated Boundary Refinement. - Junlin Liu; Ying Xia; Jiangfan Feng; Peng Bai (Remote. Sens., 2023)

Classify breast cancer pathological tissue images using multi-scale bar convolution pooling structure with patch attention. - Dongen Guo; Yuyao Lin; Kangyi Ji; Linbo Han; Yongbo Liao; Zhen Shen; Jiangfan Feng; Man Tang (Biomed. Signal Process. Control., 2024)

CEH-YOLO: A composite enhanced YOLO-based model for underwater object detection. - Jiangfan Feng; Tao Jin (Ecol. Informatics, 2024)

AMU-Net: an accurate motion perception and aggregation model for action recognition. - Haitao Zhang; Ying Xia; Jiangfan Feng (J. Electronic Imaging, 2024)

A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification. - Shaokang Dong; Jiangfan Feng; Dongxu Fang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

SGNet: A Transformer-Based Semantic-Guided Network for Building Change Detection. - Jiangfan Feng; Xinyu Yang; Zhujun Gu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Remote Sensing Target Detection Model Based on Lightweight Feature Enhancement and Feature Refinement Extraction. - Dongen Guo; Zhuoke Zhou; Fengshuo Guo; Chaoxin Jia; Xiaohong Huang; Jiangfan Feng; Zhen Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Transformer With Feature Interaction and Fusion for Remote Sensing Image Change Detection. - Dongen Guo; Tao Zou; Ying Xia; Jiangfan Feng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Composite Perception and Multiscale Fusion Network for Arbitrary-Oriented Object Detection in Remote Sensing Imagery. - Peng Bai; Ying Xia; Jiangfan Feng (IEEE Trans. Geosci. Remote. Sens., 2024)

A Hybrid-Convolution Spatial-Temporal Recurrent Network For Traffic Flow Prediction. - Xu Zhang 019; Shunjie Wen; Liang Yan; Jiangfan Feng; Ying Xia (Comput. J., 2024)

A multi-scale contextual attention network for remote sensing visual question answering. - Jiangfan Feng; Hui Wang 100 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling. - Jiangfan Feng; Hongxin Luo; Zhujun Gu (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Hierarchical feature integration and fusion for remote sensing visual question answering. - Jiangfan Feng; Shifeng Li; Shaokang Dong (Displays, 2025)

A question-type guided and progressive self-attention network for remote sensing visual question answering. - Jiangfan Feng; Hui Wang; Shaokang Dong (Earth Sci. Informatics, 2025)