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Yanrong Guo
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2020 – today
- 2024
- [j39]Guangwei Xing, Yanrong Guo, Xiaoxuan Chen, Hangzai Luo, Sheng Zhong:
Improving UWB ranging accuracy via multiple network model with second order motion prediction. Clust. Comput. 27(2): 2261-2272 (2024) - [j38]Jun Zhang, Yanrong Guo:
Multilevel depression status detection based on fine-grained prompt learning. Pattern Recognit. Lett. 178: 167-173 (2024) - [j37]Yanrong Guo
, Jilong Liu, Lei Wang, Wei Qin
, Shijie Hao
, Richang Hong
:
A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data. IEEE Trans. Comput. Soc. Syst. 11(1): 1430-1439 (2024) - [j36]Tao Chen
, Yanrong Guo, Shijie Hao
, Richang Hong:
Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection. IEEE Trans. Multim. 26: 3567-3579 (2024) - [c29]Yuan Zhou
, Xin Chen
, Yanrong Guo
, Jun Yu
, Richang Hong
, Qi Tian
:
Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation. MMM (1) 2024: 244-257 - [i8]Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang:
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning. CoRR abs/2403.11070 (2024) - 2023
- [j35]Yuan Zhou
, Yanrong Guo
, Shijie Hao
, Richang Hong
, Jiebo Luo
:
Few-Shot Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11824-11841 (2023) - [j34]Zhiyuan Zhou, Yanrong Guo
, Shijie Hao
, Richang Hong
:
Hierarchical Multifeature Fusion via Audio-Response-Level Modeling for Depression Detection. IEEE Trans. Comput. Soc. Syst. 10(5): 2797-2805 (2023) - [j33]Yanrong Guo
, Chenyang Zhu, Shijie Hao
, Richang Hong
:
Automatic Depression Detection via Learning and Fusing Features From Visual Cues. IEEE Trans. Comput. Soc. Syst. 10(5): 2806-2813 (2023) - [j32]Tao Chen
, Richang Hong
, Yanrong Guo
, Shijie Hao
, Bin Hu
:
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. IEEE Trans. Cybern. 53(12): 7749-7759 (2023) - [c28]Linlin Hu, Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang:
Low-Light Image Enhancement Based on Mutual Guidance Between Enhancing Strength and Image Appearance. PRCV (11) 2023: 211-223 - [i7]Yuan Zhou, Xin Chen, Yanrong Guo, Shijie Hao, Richang Hong, Qi Tian:
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation. CoRR abs/2305.10868 (2023) - 2022
- [j31]Yanrong Guo, Huihui Sun, Shijie Hao:
Adaptive dictionary and structure learning for unsupervised feature selection. Inf. Process. Manag. 59(3): 102931 (2022) - [j30]Tao Chen
, Yanrong Guo
, Shijie Hao
, Richang Hong
:
Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection. IEEE Trans. Affect. Comput. 13(4): 2106-2118 (2022) - [j29]Yuan Zhou, Yanrong Guo
, Shijie Hao
, Richang Hong
:
Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot Learning. IEEE Trans. Image Process. 31: 3414-3429 (2022) - [j28]Shijie Hao, Xu Han, Yanrong Guo, Meng Wang:
Decoupled Low-Light Image Enhancement. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 92:1-92:19 (2022) - [c27]Qidi Yang, Lei Tang, Yanrong Guo, Nailiang Kuang, Sheng Zhong, Hangzai Luo:
WRLqueue: A Lock-Free Queue For Embedded Real-Time System. HPCC/DSS/SmartCity/DependSys 2022: 1255-1260 - [c26]Tao Chen
, Tong Zheng, Jinlong Shi, Yanrong Guo:
EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection. ICPR Workshops (1) 2022: 668-681 - [i6]Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong:
Automatic Depression Detection via Learning and Fusing Features from Visual Cues. CoRR abs/2203.00304 (2022) - [i5]Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong:
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection. CoRR abs/2206.13256 (2022) - 2021
- [j27]Teng Li
, Shijie Hao, Yanrong Guo:
Robust pencil drawing generation via fast Retinex decomposition. Comput. Graph. 97: 67-77 (2021) - [j26]Shichao Zhang, Qing Xie, Yanrong Guo:
Editorial deep multi-source data analysis. Pattern Recognit. Lett. 151: 1-2 (2021) - [j25]Shijie Hao, Tao Chen
, Yang Wang, Yanrong Guo, Meng Wang:
Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer's Disease Study. ACM Trans. Internet Techn. 21(2): 47:1-47:16 (2021) - [i4]Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Meng Wang:
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation. CoRR abs/2105.02046 (2021) - [i3]Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Zhen junzha, Meng Wang:
Few-shot Learning with Global Relatedness Decoupled-Distillation. CoRR abs/2107.05583 (2021) - [i2]Shijie Hao, Xu Han, Yanrong Guo, Meng Wang:
Decoupled Low-light Image Enhancement. CoRR abs/2111.14458 (2021) - 2020
- [j24]Shijie Hao
, Yuan Zhou, Youming Zhang, Yanrong Guo:
Contextual Attention Refinement Network for Real-Time Semantic Segmentation. IEEE Access 8: 55230-55240 (2020) - [j23]Lingyu Xu, Yanrong Guo, Jun Li, Jie Yu, Huan Xu:
Classification of autism spectrum disorder based on fluctuation entropy of spontaneous hemodynamic fluctuations. Biomed. Signal Process. Control. 60: 101958 (2020) - [j22]Yanrong Guo
, Zhengwang Wu
, Dinggang Shen:
Learning longitudinal classification-regression model for infant hippocampus segmentation. Neurocomputing 391: 191-198 (2020) - [j21]Han Jiang, Yanrong Guo
:
Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks. Neurocomputing 391: 220-226 (2020) - [j20]Shijie Hao, Yuan Zhou, Yanrong Guo
:
A Brief Survey on Semantic Segmentation with Deep Learning. Neurocomputing 406: 302-321 (2020) - [j19]Ye Zhao
, Yanrong Guo, Rui Sun, Zhengqiong Liu, Dan Guo:
Unsupervised video summarization via clustering validity index. Multim. Tools Appl. 79(45-46): 33417-33430 (2020) - [j18]Tao Chen
, Ye Zhao, Yanrong Guo
:
Sparsity-regularized feature selection for multi-class remote sensing image classification. Neural Comput. Appl. 32(11): 6513-6521 (2020) - [j17]Tao Chen
, Yanrong Guo
, Shijie Hao:
Unsupervised feature selection based on joint spectral learning and general sparse regression. Neural Comput. Appl. 32(11): 6581-6589 (2020) - [j16]Shijie Hao
, Xu Han
, Yanrong Guo, Xin Xu
, Meng Wang
:
Low-Light Image Enhancement With Semi-Decoupled Decomposition. IEEE Trans. Multim. 22(12): 3025-3038 (2020) - [j15]Pei Dong
, Yanrong Guo
, Yue Gao
, Peipeng Liang, Yonghong Shi, Guorong Wu
:
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3061-3072 (2020) - [i1]Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong:
Bi-direction Context Propagation Network for Real-time Semantic Segmentation. CoRR abs/2005.11034 (2020)
2010 – 2019
- 2019
- [j14]Shijie Hao, Yanrong Guo, Zhongliang Wei:
Lightness-aware contrast enhancement for images with different illumination conditions. Multim. Tools Appl. 78(3): 3817-3830 (2019) - [c25]Fei Li, Nailiang Kuang, Jiangbin Zheng, Qianru Wei, Yue Xi, Yanrong Guo:
Combining Multi-level Loss for Image Denoising. BICS 2019: 423-432 - 2018
- [j13]Zhengwang Wu
, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen:
Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. 43: 198-213 (2018) - [j12]Shijie Hao, Zhuang Feng, Yanrong Guo:
Low-light image enhancement with a refined illumination map. Multim. Tools Appl. 77(22): 29639-29650 (2018) - [j11]Yanrong Guo
, Tao Chen
:
Semantic segmentation of RGBD images based on deep depth regression. Pattern Recognit. Lett. 109: 55-64 (2018) - [c24]Chenmin Xu, Shijie Hao, Yanrong Guo, Richang Hong:
Enhancing Low-Light Images with JPEG Artifact Based on Image Decomposition. PCM (2) 2018: 3-12 - [c23]Rongjie Zhang, Xueliang Liu, Yanrong Guo, Shijie Hao:
Image Synthesis with Aesthetics-Aware Generative Adversarial Network. PCM (2) 2018: 169-179 - 2017
- [j10]Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen:
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. 41: 18-31 (2017) - [c22]Zhen Lv, Qing-Min Wang, Fu-Long Liu, Peng-Peng Zhang, Xue-Hua Gao, Yanrong Guo, Xinyu Zhang:
Noninvasive evaluation of corneal viscoelasticity based on displacement in response to acoustic radiation force. EMBC 2017: 1417-1420 - [c21]Yanrong Guo, Haoming Lin, Xinyu Zhang, Huiying Wen, Siping Chen, Xin Chen:
The influence of hepatic steatosis on the evaluation of fibrosis with non-alcoholic fatty liver disease by acoustic radiation force impulse. EMBC 2017: 2988-2991 - [p1]Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. Deep Learning for Medical Image Analysis 2017: 197-222 - 2016
- [j9]Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang:
Scale-Aware Spatially Guided Mapping. IEEE Multim. 23(3): 34-42 (2016) - [j8]Shijie Hao, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang:
Image detail enhancement with spatially guided filters. Signal Process. 120: 789-796 (2016) - [j7]Yanrong Guo, Yaozong Gao, Dinggang Shen:
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Trans. Medical Imaging 35(4): 1077-1089 (2016) - [c20]Yanrong Guo, Pei Dong, Shijie Hao, Li Wang
, Guorong Wu, Dinggang Shen:
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8 - [c19]Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI 2016: 34-42 - [c18]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang
, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59 - [c17]Zhengwang Wu
, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI 2016: 237-245 - [c16]Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar:
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) 2016: 238-245 - 2015
- [j6]Gerard Sanroma
, Guorong Wu, Yaozong Gao, Kim-Han Thung
, Yanrong Guo, Dinggang Shen:
A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. 24(1): 135-148 (2015) - [j5]Shaoyi Du
, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen:
Building dynamic population graph for accurate correspondence detection. Medical Image Anal. 26(1): 256-267 (2015) - [c15]Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen:
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. ISBI 2015: 1560-1563 - [c14]Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) 2015: 63-71 - [c13]Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen:
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI 2015: 146-154 - [c12]Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu:
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015: 188-196 - 2014
- [j4]Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen:
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Medical Imaging 33(9): 1761-1780 (2014) - [c11]Haoming Lin, Xin Chen, Yanrong Guo, Yuanyuan Shen, Siping Chen:
Quantitative Shear Elasticity Assessment of Liver Fibrosis in Rat Model with Shear Wave Elastography Base on Acoustic Radiation Force. ICMB 2014: 131-134 - [c10]Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
Novel Multi-Atlas Segmentation by Matrix Completion. MLMI 2014: 207-214 - [c9]Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells
, Weili Lin, Dinggang Shen:
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI (2) 2014: 308-315 - 2013
- [j3]Shijie Hao, Jianguo Jiang, Yanrong Guo, Hong Li:
Active learning based intervertebral disk classification combining shape and texture similarities. Neurocomputing 101: 252-257 (2013) - [j2]Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan:
ε-Isometryε-Isometry based shape approximation for image content representation. Signal Process. 93(8): 2293-2304 (2013) - [j1]Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. IEEE Trans. Medical Imaging 32(2): 268-277 (2013) - [c8]Yanrong Guo, Haoming Lin, Xinyu Zhang, Sheng Zhong, Yin Yin, Xin Chen:
Noninvasive assessment of liver viscoelasticity by acoustic radiation force with a rat model. ICICS 2013: 1-4 - [c7]Xinyu Zhang, Yin Yin, Yanrong Guo, Xian-Fen Diao, Xin Chen:
Preliminary study on the effect of stiffness on lamb wave propagation in bovine corneas. EMBC 2013: 1120-1123 - [c6]Yanrong Guo, Xin Chen, Haoming Lin, Xinyu Zhang:
In-vitro quantification of rat liver viscoelasticity with shear wave dispersion ultrasound vibrometry. EMBC 2013: 1915-1918 - [c5]Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen:
MR prostate segmentation via distributed discriminative dictionary (DDD) learning. ISBI 2013: 868-871 - 2012
- [c4]Xin Chen, Yanrong Guo, Wanguan Yi, Qiaoliang Li:
A novel method for tracking of muscle thickness changes in ultrasound image sequences. ICCH 2012: 72-74 - [c3]Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. MCV 2012: 20-28 - 2011
- [c2]Yanrong Guo, Jianguo Jiang, Shijie Hao, Shu Zhan:
Distribution-Based Active Contour Model for Medical Image Segmentation. ICIG 2011: 61-65 - [c1]Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan:
Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space. ICIG 2011: 320-324
Coauthor Index
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last updated on 2024-08-16 00:41 CEST by the dblp team
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