Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention. - Jia-bin Huang 002; Enhong Zhuo; Haojiang Li; Lizhi Liu; Hongmin Cai; Yangming Ou (MICCAI (5), 2019)

U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images. - Shuchao Chen; Han Yang; Jiawen Fu; Weijian Mei; Shuai Ren; Yifei Liu; Zhihua Zhu; Lizhi Liu; Haojiang Li; Hongbo Chen (IEEE Access, 2019)

Wideband Interference Suppression for SAR by Time-Frequency-Pulse Joint Domain Processing. - Jia Su; Haojiang Li; Mingliang Tao; Yifei Fan; Ling Wang 007; Haihong Tao (IGARSS, 2020)

Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer. - Guoheng Huang; Junwen Zhu; Jiajian Li; Zhuowei Wang 001; Lianglun Cheng; Lizhi Liu; Haojiang Li; Jian Zhou (IEEE Access, 2020)

Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor. - Sai Li 003; Shuchao Chen; Haojiang Li; Guangying Ruan; Shuai Ren; Tianqiao Zhang; Lizhi Liu; Hongbo Chen (IEEE Access, 2020)

A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. - Haiyan Wang 005; Guoqiang Han; Haojiang Li; Guihua Tao; Enhong Zhuo; Lizhi Liu; Hongmin Cai; Yangming Ou (Comput. Math. Methods Medicine, 2020)

Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. - Guihua Tao; Haojiang Li; Lizhi Liu; Hongmin Cai (BIBM, 2021)

Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma. - Demin Liu; Haojiang Li; Liyang Wu; Shuchao Chen; Tianqiao Zhang; Wenjie Huang; Guangying Ruan; Sai Li 003; Lizhi Liu; Hongbo Chen (IEEE Access, 2021)

Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. - Guihua Tao; Haojiang Li; Dandan Lu; Ziqin Ling; Lizhi Liu; Hongmin Cai (BIBM, 2022)

Automatic location scheme of anatomical landmarks in 3D head MRI based on the scale attention hourglass network. - Sai Li 003; Qiong Gong; Haojiang Li; Shuchao Chen; Yifei Liu; Guangying Ruan; Lin Zhu; Lizhi Liu; Hongbo Chen (Comput. Methods Programs Biomed., 2022)

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. - Guihua Tao; Haojiang Li; Jiabin Huang 007; Chu Han; Jiazhou Chen; Guangying Ruan; Wenjie Huang; Yu Hu 004; Tingting Dan; Bin Zhang 050; Shengfeng He; Lizhi Liu; et al. (Medical Image Anal., 2022)

NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. - Yang Li 172; Tingting Dan; Haojiang Li; Jiazhou Chen; Hong Peng; Lizhi Liu; Hongmin Cai (IEEE Trans. Medical Imaging, 2022)

Deep Active Learning for Computer-Aided Detection of Nasopharyngeal Carcinoma in MRI Images. - Xin Zhao; Guanghui Han; Haojiang Li; Zenghui Wei; Mengfan Yang (ICCAI, 2023)

L2, 1-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition. - Juan Han; Kit Ian Kou; Jifei Miao; Lizhi Liu; Haojiang Li (CoRR, 2023)

MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. - Yuanquan Hao; Huiyan Jiang; Zhaoshuo Diao; Tianyu Shi; Lizhi Liu; Haojiang Li; Weijing Zhang (Comput. Biol. Medicine, 2023)

Joint Segmentation of Primary Nasopharyngeal Carcinoma Tumors and Lymph Nodes via Global Attention. - Guihua Tao; Ziqin Ling; Haojiang Li; Jiangning Song; Hongmin Cai (BIBM, 2024)

LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images. - Shuchao Chen; Chao Luo; Shanshan Liu; Haojiang Li; Yifei Liu; Haoyang Zhou; Lizhi Liu; Hongbo Chen (Comput. Biol. Medicine, 2024)

Broadcasting and 6G Converged Network Architecture. - Haojiang Li; Wenjun Zhang 001; Yin Xu 001; Dazhi He; Haoyang Li (IEEE Trans. Broadcast., 2024)

L2,1-norm regularized quaternion matrix completion using sparse representation and approximate QSVD. - Juan Han; Kit Ian Kou; Jifei Miao; Lizhi Liu; Haojiang Li (Neurocomputing, 2025)

HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection. - Zhenzhou Tian; Haojiang Li; Hanlin Sun; Yanping Chen 006; Lingwei Chen (Inf. Sci., 2025)