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2020 – today
- 2026
[j13]Jiahui Peng
, He Yao, Jingwen Li, Yanzhou Su, Sibo Ju, Yujie Lu, Ye Jin, Hongchun Lu, Xue Li, Lincheng Jiang, Min Zhu, Junlong Cheng:
MedP-CLIP: Medical CLIP with region-aware prompt integration. Medical Image Anal. 113: 104193 (2026)- [i1]Jiahui Peng, He Yao, Jingwen Li, Yanzhou Su, Sibo Ju, Yujie Lu, Jin Ye, Hongchun Lu, Xue Li, Lincheng Jiang, Min Zhu, Junlong Cheng:
MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration. CoRR abs/2604.11197 (2026) - 2025
- [j12]Yu Tang, Lilan Peng, Zhendong Wu, Jie Hu, Pengfei Zhang, Hongchun Lu:
FAHC: frequency adaptive hypergraph constraint for collaborative filtering. Appl. Intell. 55(3): 242 (2025) - [j11]Tong Gu, Min Han, Songlin He, Xiaotong Chen, Hongchun Lu, Zhizhou Wang:
Online knowledge distillation enabled multi-hop graph attention networks for anonymous transaction regulation in blockchain. Appl. Soft Comput. 183: 113644 (2025) - [j10]Hongchun Lu, Min Han, Songlin He, Xue Li, Chase Qishi Wu:
Multi-branch and multi-loss learning for fine-grained image retrieval. Appl. Soft Comput. 185: 113833 (2025) - [j9]Hongchun Lu, Songlin He, Xue Li, Min Han, Chase Qishi Wu:
SRGTNet: Subregion-Guided Transformer Hash Network for Fine-Grained Image Retrieval. IEEE Trans. Big Data 11(5): 2388-2400 (2025) - 2024
- [j8]Hongchun Lu, Min Han:
MT-DSNet: Mix-mask teacher-student strategies and dual dynamic selection plug-in module for fine-grained image recognition. Comput. Vis. Image Underst. 249: 104201 (2024) - [j7]Xue Li, Jiong Yu, Shaochen Jiang, Hongchun Lu, Ziyang Li:
MSViT: Training Multiscale Vision Transformers for Image Retrieval. IEEE Trans. Multim. 26: 2809-2823 (2024) - [j6]Hongchun Lu, Min Han, Chaoqing Wang, Junlong Cheng:
AMLNet: Attention Multibranch Loss CNN Models for Fine-Grained Vehicle Recognition. IEEE Trans. Veh. Technol. 73(1): 375-384 (2024) - [c2]Xue Li, Jiong Yu, Ziyang Li, Hongchun Lu, Ruifeng Yuan:
Dr. CLIP: CLIP-Driven Universal Framework for Zero-Shot Sketch Image Retrieval. ACM Multimedia 2024: 9554-9562 - 2023
- [j5]Xue Li, Jiong Yu, Hongchun Lu, Shaochen Jiang, Ziyang Li, Peiyun Yao:
MAFH: Multilabel aware framework for bit-scalable cross-modal hashing. Knowl. Based Syst. 279: 110922 (2023) - [c1]Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji:
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. IJCNN 2023: 1-9 - 2022
- [j4]Junlong Cheng, Shengwei Tian, Long Yu, Shijia Liu, Chaoqing Wang, Yuan Ren, Hongchun Lu, Min Zhu:
DDU-Net: A dual dense U-structure network for medical image segmentation. Appl. Soft Comput. 126: 109297 (2022) - [j3]Hongchun Lu, Shengwei Tian, Long Yu, Lu Liu, Junlong Cheng, Weidong Wu, Xiaojing Kang, Dezhi Zhang:
DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation. Comput. Methods Programs Biomed. 214: 106566 (2022) - [j2]Junlong Cheng, Shengwei Tian, Long Yu, Chengrui Gao, Xiaojing Kang, Xiang Ma, Weidong Wu, Shijia Liu, Hongchun Lu:
ResGANet: Residual group attention network for medical image classification and segmentation. Medical Image Anal. 76: 102313 (2022) - 2020
- [j1]Junlong Cheng, Shengwei Tian, Long Yu, Hongchun Lu, Xiaoyi Lv:
Fully convolutional attention network for biomedical image segmentation. Artif. Intell. Medicine 107: 101899 (2020)
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