Jin-Gang Yu

56 papers A* 7B 5C 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DC-RRG: Diagnosis-centered cascaded radiology report generation.
Expert Syst. Appl.
Zihao Lin, Zinan Hong, Zijian Zhou, Miaojing Shi, Jin-Gang Yu, Jingping Yun, Shuangping Huang
2026 J jnl
REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Chen, Lorenzo Bruzzone, Bo Dang, Yuan Gao, Youming Deng, Jin-Gang Yu, Liangqi Yuan, Yansheng Li
2025 — conf
Bridging Knowledge Discrepancy in Retinal Image Analysis Through Federated Multi-task Learning.
MICCAI (14)
Jing Yang, Yuxi Ma, Jin-Gang Yu, Feng Gao, Shuting Yang, Du Cai, Jiacheng Wang, Liansheng Wang
2025 J jnl
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation.
IEEE Trans. Medical Imaging
Yu Ming, Zihao Wu, Jie Yang, Danyi Li, Yuan Gao, Changxin Gao, Gui-Song Xia, Yuanqing Li, Li Liang, Jin-Gang Yu
2025 J jnl
Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation.
CoRR
Zenan Lin, Wei Li, Jintao Chen, Zihao Wu, Wenxiong Kang, Changxin Gao, Liansheng Wang, Jin-Gang Yu
2025 — conf
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction.
MICCAI (6)
Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-Gang Yu, Hao Chen, Yongbing Zhang
2025 J jnl
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction.
CoRR
Fengchun Liu, Linghan Cai, Zhikang Wang, Zhiyuan Fan, Jin-Gang Yu, Hao Chen, Yongbing Zhang
2024 J jnl
An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback.
IEEE Trans. Cogn. Dev. Syst.
Kendi Li, Weichen Huang, Wei Gao, Zijing Guan, Qiyun Huang, Jin-Gang Yu, Zhu Liang Yu, Yuanqing Li
2024 A* conf
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost.
ICLR
Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
2024 J jnl
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost.
CoRR
Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
2024 J jnl
Complete Instances Mining for Weakly Supervised Instance Segmentation.
CoRR
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
2024 A* conf
DMTG: One-Shot Differentiable Multi-Task Grouping.
ICML
Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia
2024 J jnl
DMTG: One-Shot Differentiable Multi-Task Grouping.
CoRR
Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia
2024 J jnl
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation.
CoRR
Yu Ming, Zihao Wu, Jie Yang, Danyi Li, Yuan Gao, Changxin Gao, Gui-Song Xia, Yuanqing Li, Li Liang, Jin-Gang Yu
2024 J jnl
Intensity Field Decomposition for Tissue-Guided Neural Tomography.
CoRR
Meng-Xun Li, Jin-Gang Yu, Yuan Gao, Cui Huang, Gui-Song Xia
2024 J jnl
Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery.
IEEE Trans. Pattern Anal. Mach. Intell.
Yansheng Li, Junwei Luo, Yongjun Zhang, Yihua Tan, Jin-Gang Yu, Song Bai
2023 J jnl
Bayesian Collaborative Learning for Whole-Slide Image Classification.
IEEE Trans. Medical Imaging
Jin-Gang Yu, Zihao Wu, Yu Ming, Shule Deng, Qihang Wu, Zhongtang Xiong, Tianyou Yu, Gui-Song Xia, Qingping Jiang, Yuanqing Li
2023 A* conf
Complete Instances Mining for Weakly Supervised Instance Segmentation.
IJCAI
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
2023 J jnl
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model.
CoRR
Shuangping Huang, Yu Luo, Zhenzhou Zhuang, Jin-Gang Yu, Mengchao He, Yongpan Wang
2023 J jnl
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition.
IEEE Trans. Multim.
Xuehao Gao, Yang Yang, Yimeng Zhang, Maosen Li, Jin-Gang Yu, Shaoyi Du
2023 J jnl
Learning Relative Feature Displacement for Few-Shot Open-Set Recognition.
IEEE Trans. Multim.
Shule Deng, Jin-Gang Yu, Zihao Wu, Hongxia Gao, Yansheng Li, Yang Yang
2023 J jnl
Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery.
CoRR
Yansheng Li, Junwei Luo, Yongjun Zhang, Yihua Tan, Jin-Gang Yu, Song Bai
2023 J jnl
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing.
IEEE Trans. Cybern.
Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao, Nong Sang
2023 J jnl
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images.
Medical Image Anal.
Jin-Gang Yu, Zihao Wu, Yu Ming, Shule Deng, Yuanqing Li, Caifeng Ou, Chunjiang He, Baiye Wang, Pusheng Zhang, Yu Wang
2021 J jnl
A simple graph-based semi-supervised learning approach for imbalanced classification.
Pattern Recognit.
Jianjin Deng, Jin-Gang Yu
2021 A* conf
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model.
ACM Multimedia
Shuangping Huang, Yu Luo, Zhenzhou Zhuang, Jin-Gang Yu, Mengchao He, Yongpan Wang
2021 A* conf
Deep Graph Matching Under Quadratic Constraint.
CVPR
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
2021 J jnl
Deep Graph Matching under Quadratic Constraint.
CoRR
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
2021 J jnl
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Yansheng Li, Zhihui Zhu, Jin-Gang Yu, Yongjun Zhang
2021 J jnl
WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation.
Sensors
Jiarong Ou, Shule Deng, Jin-Gang Yu
2020 — conf
Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images.
MICCAI (5)
Lichao Xiao, Jin-Gang Yu, Zhifeng Liu, Jiarong Ou, Shule Deng, Zhenhua Yang, Yuanqing Li
2020 J jnl
Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis.
IEEE Trans. Image Process.
Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu, Yuanqing Li
2020 A* conf
FGN: Fully Guided Network for Few-Shot Instance Segmentation.
CVPR
Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li
2020 J jnl
FGN: Fully Guided Network for Few-Shot Instance Segmentation.
CoRR
Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li
2020 J jnl
Pose-guided spatiotemporal alignment for video-based person Re-identification.
Inf. Sci.
Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang
2020 A* conf
Zero-Assignment Constraint for Graph Matching With Outliers.
CVPR
Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
2020 J jnl
Zero-Assignment Constraint for Graph Matching with Outliers.
CoRR
Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
2019 B conf
Fine-Grained Classification of Endoscopic Tympanic Membrane Images.
ICIP
Lichao Xiao, Jin-Gang Yu, Jiarong Ou, Zhifeng Liu
2019 J jnl
Progressively Decomposing Graph Matching.
IEEE Access
Jin-Gang Yu, Lichao Xiao, Jiarong Ou, Zhifeng Liu
2019 J jnl
Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification.
Sensors
Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang
2018 — conf
Robust and Efficient Ellipse Fitting Using Tangent Chord Distance.
ACCV (3)
Jiarong Ou, Jin-Gang Yu, Changxin Gao, Lichao Xiao, Zhifeng Liu
2018 B conf
Spatially Attentive Correlation Filters for Visual Tracking.
ICIP
Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang
2017 J jnl
Robust Visual Tracking Using Exemplar-Based Detectors.
IEEE Trans. Circuits Syst. Video Technol.
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
2016 J jnl
A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues.
IEEE Trans. Multim.
Jin-Gang Yu, Gui-Song Xia, Changxin Gao, Ashok Samal
2016 J jnl
A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences.
Inf. Sci.
Yansheng Li, Yongjun Zhang, Jin-Gang Yu, Yihua Tan, Jinwen Tian, Jiayi Ma
2016 J jnl
Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update.
Sensors
Changxin Gao, Huizhang Shi, Jin-Gang Yu, Nong Sang
2016 J jnl
Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation.
Pattern Recognit.
Jin-Gang Yu, Gui-Song Xia, Ashok Samal, Jinwen Tian
2016 J jnl
Image retrieval based on image-to-class similarity.
Pattern Recognit. Lett.
Jun Chen, Yong Wang, Linbo Luo, Jin-Gang Yu, Jiayi Ma
2016 B conf
Temporally aligned pooling representation for video-based person re-identification.
ICIP
Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang
2015 J jnl
Kernel regression in mixed feature spaces for spatio-temporal saliency detection.
Comput. Vis. Image Underst.
Yansheng Li, Yihua Tan, Jin-Gang Yu, Shengxiang Qi, Jinwen Tian
2015 J jnl
Salient object detection via contrast information and object vision organization cues.
Neurocomputing
Shengxiang Qi, Jin-Gang Yu, Jie Ma, Yansheng Li, Jinwen Tian
2014 J jnl
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking.
CoRR
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
2014 B conf
Exemplar-based linear discriminant analysis for robust object tracking.
ICIP
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
2014 J jnl
Maximal Entropy Random Walk for Region-Based Visual Saliency.
IEEE Trans. Cybern.
Jin-Gang Yu, Ji Zhao, Jinwen Tian, Yihua Tan
2014 B conf
Visual saliency detection using feature activity weighted decorrelation cues.
ICIP
Shengxiang Qi, Jin-Gang Yu, Ji Zhao, Jie Ma, Jinwen Tian
2012 C conf
Urban area detection using multiple Kernel Learning and graph cut.
IGARSS
Chao Tao, Yihua Tan, Jin-Gang Yu, Jin-Wen Tian