Bao-Ye Sun, Peiyi Gu, Ruo Yu Guan, Cheng Zhou, Jianwei Lu, ZhangFu Yang, Chao Pan, PeiYun Zhou, YaPing Zhu, Jiarui Li, ZhuTao Wang, ShanShan Gao, Wei Gan, Yong Yi, Ye Luo*, Shuangjian Qiu*, Deep-learning based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma, 2022, in World Journal of Surgical Oncology.
Hanmei Yang, Jian Lu, Heng Zhang, Ye Luo*, Jianwei Lu*, Field of experts regularized nonlocal low rank matrix approximation for image denoising, in Journal of computational and applied mathematics, 2022. (SCI, IF:2.621,中科院二区)
Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu, Deep Ranking Exemplar-Based Dynamic Scene Deblurring, IEEE Transactions on Image Processing, 2022, vol. 31, pp: 2245 – 2256. (SCI, IF:10.856, 中科院一区)
Huilin Lai, Ye Luo*, Guokai Zhang, Xiaoang Shen, Bo Li, Jianwei Lu*, Toward accurate polyp segmentation with cascade boundary-guided attention, The Visual Computer, 2022. （SCI, IF:2.601）
Guokai Zhang, Xiaoang Shen, Yu-Dong Zhang, Ye Luo*, et al., "Cross-Modal Prostate Cancer Segmentation via Self-Attention Distillation", accepted by IEEE Journal of Biomedical and Health Informatics, 2021. (SCI, IF 5.77)
Yaowei Li, Ye Luo*, Jianwei Lu*, “Reference-Guided Deep Deblurring via a Selective Attention Network”, in Applied Intelligence, 2021, (SCI, IF 2.822)
Yaowei Li, Ye Luo*, Guokai Zhang, Jianwei Lu*, “Single image deblurring with cross-layer feature fusion and consecutive attention”, in Journal of Visual Communication and Image Representation (JVCI), Vol. 78, 2021, 103149, ISSN 1047-3203. (SCI, IF: 2.259)
Guokai Zhang, Xiaoang Shen, Sirui Chen, Lipeng Liang, Ye Luo*, Jie Yu*, and Jianwei Lu*, “DSM: A Deep Supervised Multi-scale Network Learning for Skin Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 140936-140945. (SCI, IF: 4.098)
Guokai Zhang, Weigang Wang, Dinghao Yang, Jihao Luo, Pengcheng He, Yongtong Wang, Ye Luo*, Binghui Zhao*, and Jianwei Lu*, “A Bi-Attention Adversarial Network for Prostate Cancer Segmentation”, in IEEE Access, 2019, Vol.7(1), pages 131448-131458. (SCI, IF: 4.098)
Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo*, Jianwei Lu, “Multi-scale Pulmonary Nodule Classification with Deep Feature Fusion via Residual Network”, in Journal of Ambient Intelligence and Humanized Computing, 2018, pp:1-12. (SCI，IF: 4.594)
Dandan Zhu, Ye Luo*, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu*, "Salient Object Detection via a Local and Global Method based on Deep Residual Network," in Journal of Visual Communication and Image Representation (JVCIR), Vol. 54, pp. 1-9, 2018. (SCI, IF: 2.259)
Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo*, Jianwei Lu, "Image salient object detection with refined deep features via convolution neural network," J. Electron. Imaging 26(6), 063018 (2017), doi: 10.1117/1.JEI.26.6.063018. (SCI, IF: 0.754)
Ye Luo, Junsong Yuan, Jianwei Lu. “Finding Spatio-temporal Salient Paths for Video Objects Discovery”. in Journal of Visual Communication and Image Representation (JVCIR) Vol. 38, pp. 45-54, 2016. ( SCI, IF: 2.259）
Ye Luo, Junsong Yuan, Ping Xue and Qi Tian, “Saliency Density Maximization for Efficient Visual Objects Discovery”, in IEEE Trans. on Circuits and System for Video Technology (TCSVT), Vol. 21, pp. 1822-1834, 2011. (SCI, IF: 4.133)
Bo Li, Yongqiang Yao, Jinru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo, Equalized Focal Loss for Dense Long-Tailed Object Detection, in CVPR, 2022
Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu*, Ye Luo*, PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning, in BIBM 2021: International Conference on Bioinformatics & Biomedicine. (EI, CCF-B)
Jiahao Xie, Sheng Zhang, Jianwei Lu*, Ye Luo*, “L-SNET: FROM REGION LOCALIZATION TO SCALE INVARIANT MEDICAL IMAGE SEGMENTATION”, in ICIP 2021. (EI, CCF-C)
Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo*, Jianwei Lu*, “LIVER TUMOR DETECTION VIA A MULTI-SCALE INTERMEDIATE MULTI-MODAL FUSION NETWORK ON MRI IMAGES”, in ICIP 2021. (EI, CCF-C)
Guokai Zhang, Xiaoang Shen, Ye Luo*, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu*, "Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation", in BIBM 2020: International Conference on Bioinformatics & Biomedicine. (EI, CCF-B)
Yaowei Li, Ye Luo*, Jianwei Lu, "Single Image Deblurring Using Bi-Attention Network", ICPR, 2020, (EI, CCF-C)
Hanmei Yang, Jianwei Lu*, Ye Luo, Jian Lu, "Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization", in ICPR, 2020. (EI, CCF-C)
Guokai Zhang，Ye Luo*, Dandan Zhu, YiXuan Xu, YunXin Sun, Jianwei Lu*; Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification. In: International Conference on Pattern Recognition (ICPR), 2018. (EI, CCF-C)
Dandan Zhu, Ye Luo*, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu. Deep Salient Object Detection via Hierarchical Network Learning. In: International Conference on Neural Information Processing (ICONIP), 2017. （EI, CCF-C)
Liechuan, Ou, Zheng Chen, Jianwei Lu, Ye Luo*. Regularizing CNN via Feature Augmentation. In: International Conference on Neural Information Processing (ICONIP), 2017. （EI, CCF-C)
Xuan Shao, Ye Luo*, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu. Scanpath Prediction Based on High-level Features and Memory Bias. In: International Conference on Neural Information Processing (ICONIP), 2017. （EI, CCF-C)
Dandan Zhu, Ye Luo*, Xuan Shao, Laurent Itti, Jianwei Lu, “SALIENCY PREDICTION BASED ON NEW DEEP MULTI-LAYER CONVOLUTION NEURAL NETWOR”, in ICIP, 2017. （EI, CCF-C)
Ye Luo, Loong-Fah Cheong and Tran Lam An, “Actionness-assisted Recognition of Actions”, in International Conference on Computer Vision (ICCV) 2015, pp. 3244-3252. (EI, CCF-A)
