Yanrong Guo

94 papers A* 2A 1C 1Misc 2Journal 58Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol.
Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang
2026 J jnl
Dynamic Correlation-Guided Disentanglement and Contrastive Learning for RGB-D Cross-Modal Re-Identification.
IEEE Trans. Inf. Forensics Secur.
Zhibo Lei, Jingjing Wu, Yaxiong Wang, Yanrong Guo, Shijie Hao, Richang Hong
2026 — conf
Illumination-Prior Guided Hybrid Network for Low-Light Image Enhancement.
MMM (1)
Ao Sun, Shijie Hao, Yanrong Guo
2026 J jnl
Infrared Object Tracking via Complementary Dual-domain Interaction with Target-guided Frequency Transformation.
ACM Trans. Multim. Comput. Commun. Appl.
Pengyu Huang, Jingjing Wu, Yanrong Guo, Richang Hong
2026 J jnl
Interview-Based Depression Detection Using LLM-Based Text Restatement and Emotion Lexicon.
IEEE Trans. Affect. Comput.
Shijie Hao, Jun Zhang, Jingjing Wu, Yanrong Guo, Richang Hong
2026 J jnl
Subthreshold Depression Detection With Text-Guided Multimodal Learning.
IEEE Trans. Comput. Soc. Syst.
Yanrong Guo, Youwei Guo, Bingxin Yang, Jingjing Wu, Shijie Hao, Richang Hong
2026 A* conf
Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding.
AAAI
Zhiyuan Zhou, Yanrong Guo, Shijie Hao
2026 J jnl
Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding.
CoRR
Zhiyuan Zhou, Yanrong Guo, Shijie Hao
2025 A conf
Beyond Statistical Correlation: Causal Insights into Emotion Recognition.
ICME
Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong
2025 — conf
BiLLIE: Toward Smooth Binarization of Low-Light Image Enhancement.
PRCV (8)
Guanyu Lu, Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang
2025 J jnl
Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier.
CoRR
Yufei Shang, Yanrong Guo, Shijie Hao, Richang Hong
2025 A* conf
InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Models.
ACM Multimedia
Zhiyuan Zhou, Jilong Liu, Sanwang Wang, Shijie Hao, Yanrong Guo, Richang Hong
2025 J jnl
Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection.
IEEE Trans. Affect. Comput.
Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong
2025 J jnl
Multi-Modal Depression Detection in Interview via Exploring Emotional Distribution Information.
IEEE Trans. Multim.
Zhiyuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong
2025 J jnl
Person Re-Identification With Arbitrary Modalities: A Multi-Modal Dataset and a Unified Framework.
IEEE Trans. Inf. Forensics Secur.
Jingjing Wu, Zhun Zhong, Yanrong Guo, Shejiao Hu, Richang Hong
2025 J jnl
Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation.
IEEE Trans. Neural Networks Learn. Syst.
Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong, Jun Cheng, Meng Wang
2024 J jnl
A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data.
IEEE Trans. Comput. Soc. Syst.
Yanrong Guo, Jilong Liu, Lei Wang, Wei Qin, Shijie Hao, Richang Hong
2024 — conf
Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation.
MMM (1)
Yuan Zhou, Xin Chen, Yanrong Guo, Jun Yu, Richang Hong, Qi Tian
2024 — conf
Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media.
PRCV (1)
Tong Zheng, Yanrong Guo, Richang Hong
2024 J jnl
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning.
CoRR
Yuan Zhou, Richang Hong, Yanrong Guo, Lin Liu, Shijie Hao, Hanwang Zhang
2024 J jnl
Improving UWB ranging accuracy via multiple network model with second order motion prediction.
Clust. Comput.
Guangwei Xing, Yanrong Guo, Xiaoxuan Chen, Hangzai Luo, Sheng Zhong
2024 J jnl
InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models.
CoRR
Zhiyuan Zhou, Jilong Liu, Sanwang Wang, Shijie Hao, Yanrong Guo, Richang Hong
2024 J jnl
Multilevel depression status detection based on fine-grained prompt learning.
Pattern Recognit. Lett.
Jun Zhang, Yanrong Guo
2024 J jnl
Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection.
IEEE Trans. Multim.
Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong
2023 J jnl
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation.
CoRR
Yuan Zhou, Xin Chen, Yanrong Guo, Shijie Hao, Richang Hong, Qi Tian
2023 J jnl
Automatic Depression Detection via Learning and Fusing Features From Visual Cues.
IEEE Trans. Comput. Soc. Syst.
Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong
2023 J jnl
Few-Shot Partial Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Jiebo Luo
2023 J jnl
Hierarchical Multifeature Fusion via Audio-Response-Level Modeling for Depression Detection.
IEEE Trans. Comput. Soc. Syst.
Zhiyuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong
2023 — conf
Low-Light Image Enhancement Based on Mutual Guidance Between Enhancing Strength and Image Appearance.
PRCV (11)
Linlin Hu, Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang
2023 J jnl
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection.
IEEE Trans. Cybern.
Tao Chen, Richang Hong, Yanrong Guo, Shijie Hao, Bin Hu
2022 J jnl
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection.
CoRR
Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong
2022 J jnl
Adaptive dictionary and structure learning for unsupervised feature selection.
Inf. Process. Manag.
Yanrong Guo, Huihui Sun, Shijie Hao
2022 J jnl
Automatic Depression Detection via Learning and Fusing Features from Visual Cues.
CoRR
Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong
2022 J jnl
Decoupled Low-Light Image Enhancement.
ACM Trans. Multim. Comput. Commun. Appl.
Shijie Hao, Xu Han, Yanrong Guo, Meng Wang
2022 — conf
EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection.
ICPR Workshops (1)
Tao Chen, Tong Zheng, Jinlong Shi, Yanrong Guo
2022 J jnl
Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection.
IEEE Trans. Affect. Comput.
Tao Chen, Yanrong Guo, Shijie Hao, Richang Hong
2022 J jnl
Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot Learning.
IEEE Trans. Image Process.
Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong
2022 — conf
WRLqueue: A Lock-Free Queue For Embedded Real-Time System.
HPCC/DSS/SmartCity/DependSys
Qidi Yang, Lei Tang, Yanrong Guo, Nailiang Kuang, Sheng Zhong, Hangzai Luo
2021 J jnl
Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer's Disease Study.
ACM Trans. Internet Techn.
Shijie Hao, Tao Chen, Yang Wang, Yanrong Guo, Meng Wang
2021 J jnl
Decoupled Low-light Image Enhancement.
CoRR
Shijie Hao, Xu Han, Yanrong Guo, Meng Wang
2021 J jnl
Editorial deep multi-source data analysis.
Pattern Recognit. Lett.
Shichao Zhang, Qing Xie, Yanrong Guo
2021 J jnl
Few-shot Learning with Global Relatedness Decoupled-Distillation.
CoRR
Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Zhen junzha, Meng Wang
2021 J jnl
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation.
CoRR
Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Meng Wang
2021 J jnl
Robust pencil drawing generation via fast Retinex decomposition.
Comput. Graph.
Teng Li, Shijie Hao, Yanrong Guo
2020 J jnl
A Brief Survey on Semantic Segmentation with Deep Learning.
Neurocomputing
Shijie Hao, Yuan Zhou, Yanrong Guo
2020 J jnl
Bi-direction Context Propagation Network for Real-time Semantic Segmentation.
CoRR
Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong
2020 J jnl
Classification of autism spectrum disorder based on fluctuation entropy of spontaneous hemodynamic fluctuations.
Biomed. Signal Process. Control.
Lingyu Xu, Yanrong Guo, Jun Li, Jie Yu, Huan Xu
2020 J jnl
Contextual Attention Refinement Network for Real-Time Semantic Segmentation.
IEEE Access
Shijie Hao, Yuan Zhou, Youming Zhang, Yanrong Guo
2020 J jnl
Learning longitudinal classification-regression model for infant hippocampus segmentation.
Neurocomputing
Yanrong Guo, Zhengwang Wu, Dinggang Shen
2020 J jnl
Low-Light Image Enhancement With Semi-Decoupled Decomposition.
IEEE Trans. Multim.
Shijie Hao, Xu Han, Yanrong Guo, Xin Xu, Meng Wang
2020 J jnl
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu
2020 J jnl
Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks.
Neurocomputing
Han Jiang, Yanrong Guo
2020 J jnl
Sparsity-regularized feature selection for multi-class remote sensing image classification.
Neural Comput. Appl.
Tao Chen, Ye Zhao, Yanrong Guo
2020 J jnl
Unsupervised feature selection based on joint spectral learning and general sparse regression.
Neural Comput. Appl.
Tao Chen, Yanrong Guo, Shijie Hao
2020 J jnl
Unsupervised video summarization via clustering validity index.
Multim. Tools Appl.
Ye Zhao, Yanrong Guo, Rui Sun, Zhengqiong Liu, Dan Guo
2019 — conf
Combining Multi-level Loss for Image Denoising.
BICS
Fei Li, Nailiang Kuang, Jiangbin Zheng, Qianru Wei, Yue Xi, Yanrong Guo
2019 J jnl
Lightness-aware contrast enhancement for images with different illumination conditions.
Multim. Tools Appl.
Shijie Hao, Yanrong Guo, ZhongLiang Wei
2018 — conf
Enhancing Low-Light Images with JPEG Artifact Based on Image Decomposition.
PCM (2)
Chenmin Xu, Shijie Hao, Yanrong Guo, Richang Hong
2018 — conf
Image Synthesis with Aesthetics-Aware Generative Adversarial Network.
PCM (2)
Rongjie Zhang, Xueliang Liu, Yanrong Guo, Shijie Hao
2018 J jnl
Low-light image enhancement with a refined illumination map.
Multim. Tools Appl.
Shijie Hao, Zhuang Feng, Yanrong Guo
2018 J jnl
Robust brain ROI segmentation by deformation regression and deformable shape model.
Medical Image Anal.
Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen
2018 J jnl
Semantic segmentation of RGBD images based on deep depth regression.
Pattern Recognit. Lett.
Yanrong Guo, Tao Chen
2017 — ch.
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
Deep Learning for Medical Image Analysis
Yanrong Guo, Yaozong Gao, Dinggang Shen
2017 J jnl
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis.
Medical Image Anal.
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
2017 — conf
Noninvasive evaluation of corneal viscoelasticity based on displacement in response to acoustic radiation force.
EMBC
Zhen Lv, Qing-Min Wang, Fu-Long Liu, Peng-peng Zhang, Xue-Hua Gao, Yanrong Guo, Xinyu Zhang
2017 — conf
The influence of hepatic steatosis on the evaluation of fibrosis with non-alcoholic fatty liver disease by acoustic radiation force impulse.
EMBC
Yanrong Guo, Haoming Lin, Xinyu Zhang, Huiying Wen, Siping Chen, Xin Chen
2016 — conf
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.
Patch-MI@MICCAI
Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen
2016 — conf
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.
Patch-MI@MICCAI
Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen
2016 J jnl
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
IEEE Trans. Medical Imaging
Yanrong Guo, Yaozong Gao, Dinggang Shen
2016 — conf
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.
MICCAI (3)
Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar
2016 J jnl
Image detail enhancement with spatially guided filters.
Signal Process.
Shijie Hao, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang
2016 — conf
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Patch-MI@MICCAI
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu
2016 — conf
Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs.
MLMI@MICCAI
Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen
2016 J jnl
Scale-Aware Spatially Guided Mapping.
IEEE Multim.
Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang
2015 J jnl
A transversal approach for patch-based label fusion via matrix completion.
Medical Image Anal.
Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2015 J jnl
Building dynamic population graph for accurate correspondence detection.
Medical Image Anal.
Shaoyi Du, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen
2015 — conf
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression.
MCV@MICCAI
Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen
2015 — conf
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models.
ISBI
Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen
2015 — conf
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph.
Patch-MI@MICCAI
Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu
2015 — conf
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.
MICCAI (3)
Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen
2014 J jnl
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging
Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen
2014 — conf
Novel Multi-Atlas Segmentation by Matrix Completion.
MLMI
Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2014 — conf
Quantitative Shear Elasticity Assessment of Liver Fibrosis in Rat Model with Shear Wave Elastography Base on Acoustic Radiation Force.
ICMB
Haoming Lin, Xin Chen, Yanrong Guo, Yuanyuan Shen, Siping Chen
2014 — conf
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features.
MICCAI (2)
Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen
2013 J jnl
Active learning based intervertebral disk classification combining shape and texture similarities.
Neurocomputing
Shijie Hao, Jianguo Jiang, Yanrong Guo, Hong Li
2013 — conf
In-vitro quantification of rat liver viscoelasticity with shear wave dispersion ultrasound vibrometry.
EMBC
Yanrong Guo, Xin Chen, Haoming Lin, Xinyu Zhang
2013 — conf
MR prostate segmentation via distributed discriminative dictionary (DDD) learning.
ISBI
Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen
2013 C conf
Noninvasive assessment of liver viscoelasticity by acoustic radiation force with a rat model.
ICICS
Yanrong Guo, Haoming Lin, Xinyu Zhang, Sheng Zhong, Yin Yin, Xin Chen
2013 — conf
Preliminary study on the effect of stiffness on lamb wave propagation in bovine corneas.
EMBC
Xinyu Zhang, Yin Yin, Yanrong Guo, Xian-Fen Diao, Xin Chen
2013 J jnl
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching.
IEEE Trans. Medical Imaging
Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen
2012 — conf
A novel method for tracking of muscle thickness changes in ultrasound image sequences.
ICCH
Xin Chen, Yanrong Guo, Wanguan Yi, Qiaoliang Li
2012 — conf
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint.
MCV
Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen
2011 Misc conf
Distribution-Based Active Contour Model for Medical Image Segmentation.
ICIG
Yanrong Guo, Jianguo Jiang, Shijie Hao, Shu Zhan
2011 Misc conf
Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space.
ICIG
Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan