A methodology for high-level software specification construction. - Jing Ying; Zhijun He 001; Zhaohui Wu; Jiangyun Li; Weicheng Fan; Zhaohui Xu (ACM SIGSOFT Softw. Eng. Notes, 1995)

Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images. - Yan Liu; Qirui Ren; Jiahui Geng; Meng Ding 001; Jiangyun Li (Sensors, 2018)

Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation. - Jing Liu 001; Yuhang Wang; Yong Li 034; Jun Fu 005; Jiangyun Li; Hanqing Lu (IEEE Trans. Neural Networks Learn. Syst., 2018)

3D Dilated Multi-fiber Network for Real-Time Brain Tumor Segmentation in MRI. - Chen Chen 001; Xiaopeng Liu; Meng Ding 001; Junfeng Zheng; Jiangyun Li (MICCAI (3), 2019)

Attention-Guided Network for Semantic Video Segmentation. - Jiangyun Li; Yikai Zhao 002; Jun Fu 005; Jiajia Wu; Jing Liu 001 (IEEE Access, 2019)

Real-Time Conveyor Belt Deviation Detection Algorithm Based on Multi-Scale Feature Fusion Network. - Chan Zeng; Junfeng Zheng; Jiangyun Li (Algorithms, 2019)

Robust fragmentation modeling of Hegselmann-Krause-type dynamics. - Wei Su 004; Jin Guo 003; Xianzhong Chen 001; Ge Chen 001; Jiangyun Li (J. Frankl. Inst., 2019)

Real-Time Dense Semantic Labeling with Dual-Path Framework for High-Resolution Remote Sensing Image. - Yuhao Wang; Chen Chen 001; Meng Ding 001; Jiangyun Li (Remote. Sens., 2019)

Dense Semantic Labeling with Atrous Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery. - Yuhao Wang; Binxiu Liang; Meng Ding 001; Jiangyun Li (Remote. Sens., 2019)

Improving Stockline Detection of Radar Sensor Array Systems in Blast Furnaces Using a Novel Encoder-Decoder Architecture. - Xiaopeng Liu; Yan Liu; Meng Zhang; Xianzhong Chen 001; Jiangyun Li (Sensors, 2019)

High Precision Dimensional Measurement with Convolutional Neural Network and Bi-Directional Long Short-Term Memory (LSTM). - Yuhao Wang; Qibai Chen; Meng Ding 001; Jiangyun Li (Sensors, 2019)

Modeling Local and Global Contexts for Image Captioning. - Peng Yao; Jiangyun Li; Longteng Guo; Jing Liu 001 (ICME, 2020)

Dual Attention U-Net for Multi-sequence Cardiac MR Images Segmentation. - Hong Yu; Sen Zha; Yubin Huangfu; Chen Chen 001; Meng Ding 001; Jiangyun Li (MyoPS@MICCAI, 2020)

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer. - Wenxuan Wang 002; Chen Chen 001; Meng Ding 001; Hong Yu; Sen Zha; Jiangyun Li (MICCAI (1), 2021)

Dynamic Warping Network for Semantic Video Segmentation. - Jiangyun Li; Yikai Zhao 002; Xingjian He; Xinxin Zhu; Jing Liu 001 (Complex., 2021)

Image-Based Iron Slag Segmentation via Graph Convolutional Networks. - Wang Long; Junfeng Zheng; Hong Yu; Meng Ding 001; Jiangyun Li (Complex., 2021)

Multi-branch sharing network for real-time 3D brain tumor segmentation. - Jiangyun Li; Junfeng Zheng; Meng Ding 001; Hong Yu (J. Real Time Image Process., 2021)

HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images. - Zhiyong Xu 001; Weicun Zhang; Tianxiang Zhang; Jiangyun Li (Remote. Sens., 2021)

Efficient Transformer for Remote Sensing Image Segmentation. - Zhiyong Xu 001; Weicun Zhang; Tianxiang Zhang; Zhifang Yang; Jiangyun Li (Remote. Sens., 2021)

Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery. - Tianxiang Zhang; Zhiyong Xu 001; Jinya Su; Zhifang Yang; Cunjia Liu; Wen-Hua Chen 001; Jiangyun Li (Remote. Sens., 2021)

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation. - Wenxuan Wang 002; Chen Chen 001; Jing Wang 222; Sen Zha; Yan Zhang; Jiangyun Li (ECCV (21), 2022)

Hyper-ES2T: Efficient Spatial-Spectral Transformer for the classification of hyperspectral remote sensing images. - Wenxuan Wang 002; Leiming Liu; Tianxiang Zhang; Jiachen Shen; Jing Wang 222; Jiangyun Li (Int. J. Appl. Earth Obs. Geoinformation, 2022)

TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation. - Jiangyun Li; Wenxuan Wang 002; Chen Chen 001; Tianxiang Zhang; Sen Zha; Hong Yu; Jing Wang 222 (CoRR, 2022)

Category Guided Attention Network for Brain Tumor Segmentation in MRI. - Jiangyun Li; Hong Yu; Chen Chen 001; Meng Ding 001; Sen Zha (CoRR, 2022)

Positive-Negative Equal Contrastive Loss for Semantic Segmentation. - Jing Wang 222; Lingfei Xuan; Wenxuan Wang 002; Tianxiang Zhang; Jiangyun Li (CoRR, 2022)

MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering. - Shanshan Song; Jiangyun Li; Jing Wang 222; Yuanxiu Cai; Wenkai Dong (CoRR, 2022)

CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images. - Hong Wang; Xianzhong Chen 001; Tianxiang Zhang; Zhiyong Xu 001; Jiangyun Li (Remote. Sens., 2022)

Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification. - Tianxiang Zhang; Wenxuan Wang 002; Jing Wang 222; Yuanxiu Cai; Zhifang Yang; Jiangyun Li (Remote. Sens., 2022)

Attention Guided Global Enhancement and Local Refinement Network for Semantic Segmentation. - Jiangyun Li; Sen Zha; Chen Chen 001; Meng Ding 001; Tianxiang Zhang; Hong Yu (IEEE Trans. Image Process., 2022)

MF2-MVQA: A Multi-Stage Feature Fusion Method for Medical Visual Question Answering. - Shanshan Song; Jiangyun Li; Jing Wang 222; Yuanxiu Cai; Wenkai Dong (ISBI, 2023)

FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation. - Wenxuan Wang 002; Jing Wang 222; Chen Chen 001; Jianbo Jiao; Lichao Sun 001; Yuanxiu Cai; Shanshan Song; Jiangyun Li (CoRR, 2023)

Med-Tuning: Exploring Parameter-Efficient Transfer Learning for Medical Volumetric Segmentation. - Wenxuan Wang 002; Jiachen Shen; Chen Chen 001; Jianbo Jiao; Yan Zhang; Shanshan Song; Jiangyun Li (CoRR, 2023)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Jing Liu 001; Xingjian He; Yisi Zhang; Chen Chen 001; Jiachen Shen; Yan Zhang; Jiangyun Li (CoRR, 2023)

Positive-negative equal contrastive loss for semantic segmentation. - Jing Wang 222; Jiangyun Li; Wei Li; Lingfei Xuan; Tianxiang Zhang; Wenxuan Wang 002 (Neurocomputing, 2023)

UCTNet with Dual-Flow Architecture: Snow Coverage Mapping with Sentinel-2 Satellite Imagery. - Jinge Ma; Haoran Shen; Yuanxiu Cai; Tianxiang Zhang; Jinya Su; Wen-Hua Chen 001; Jiangyun Li (Remote. Sens., 2023)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement. - Jing Wang 222; Jiangyun Li; Chen Chen 001; Yisi Zhang; Haoran Shen; Tianxiang Zhang (AAAI, 2024)

Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images. - Jiangyun Li; Zhongkang Lu; Shuang Leng; Xiaohong Wang; Lohendran Baskaran; Min Sen Yew; Mark Chan; Lynette L. Teo; Kee Yuan Ngiam; Hwee Kuan Lee; Liang Zhong 001; Zhiping Lin 001; et al. (EMBC, 2024)

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation. - Jiachen Shen; Wenxuan Wang 002; Chen Chen 001; Jianbo Jiao; Jing Liu 001; Yan Zhang; Shanshan Song; Jiangyun Li (MIDL, 2024)

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation. - Haoran Shen; Yifu Zhang; Wenxuan Wang 002; Chen Chen 001; Jing Liu 001; Shanshan Song; Jiangyun Li (WACV, 2024)

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation. - Wenxuan Wang 002; Jing Wang 222; Chen Chen 001; Jianbo Jiao; Yuanxiu Cai; Shanshan Song; Jiangyun Li (WACV, 2024)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Xingjian He; Yisi Zhang; Longteng Guo; Jiachen Shen; Jiangyun Li; Jing Liu 001 (IEEE Trans. Multim., 2024)

Remotely Sensed Crop Disease Monitoring by Machine Learning Algorithms: A Review. - Tianxiang Zhang; Yuanxiu Cai; Peixian Zhuang; Jiangyun Li (Unmanned Syst., 2024)

Smart Ship Draft Reading by Dual-Flow Deep Learning Architecture and Multispectral Information. - Bo Zhang; Jiangyun Li; Haicheng Tang; Xi Liu (Sensors, 2024)

Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm. - Peixian Zhuang; Jiangyun Li; Qing Li 015; Lei Cai; Sam Kwong (IEEE Trans. Cybern., 2024)

A review of remote sensing image segmentation by deep learning methods. - Jiangyun Li; Yuanxiu Cai; Qing Li 001; Mingyin Kou; Tianxiang Zhang (Int. J. Digit. Earth, 2024)

Enhancing Semantic Information Representation in Multi-View Geo-Localization through Dual-Branch Network with Feature Consistency Enhancement and Multi-Level Feature Mining. - Yang Zheng 002; Qing Li 015; Jiangyun Li; Zhenghao Xi; Jie Liu 028 (IET Image Process., 2025)

State space models meet transformers for hyperspectral image classification. - Xuefei Shi; Yisi Zhang; Kecheng Liu; Zhaokun Wen; Wenxuan Wang 002; Tianxiang Zhang; Jiangyun Li (Signal Process., 2025)

FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification. - Peixian Zhuang; Xiaochen Zhang; Hao Wang 215; Tianxiang Zhang; Leiming Liu; Jiangyun Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

DBMGNet: A Dual-Branch Mamba-GCN Network for Hyperspectral Image Classification. - Hao Wang 215; Peixian Zhuang; Xiaochen Zhang; Jiangyun Li (IEEE Trans. Geosci. Remote. Sens., 2025)

Referring Remote Sensing Image Segmentation via Bidirectional Alignment Guided Joint Prediction. - Tianxiang Zhang; Zhaokun Wen; Bo Kong; Kecheng Liu; Yisi Zhang; Peixian Zhuang; Jiangyun Li (CoRR, 2025)

MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation. - Haoran Shen; Peixian Zhuang; Jiahao Kou; Yuxin Zeng; Haoying Xu; Jiangyun Li (CoRR, 2025)