Urban area detection using multiple Kernel Learning and graph cut. - Chao Tao; Yihua Tan; Jin-Gang Yu; Jin-Wen Tian (IGARSS, 2012)

Exemplar-based linear discriminant analysis for robust object tracking. - Changxin Gao; Feifei Chen; Jin-Gang Yu; Rui Huang 001; Nong Sang (ICIP, 2014)

Visual saliency detection using feature activity weighted decorrelation cues. - Shengxiang Qi; Jin-Gang Yu; Ji Zhao 001; Jie Ma; Jinwen Tian (ICIP, 2014)

Maximal Entropy Random Walk for Region-Based Visual Saliency. - Jin-Gang Yu; Ji Zhao 001; Jinwen Tian; Yihua Tan (IEEE Trans. Cybern., 2014)

Kernel regression in mixed feature spaces for spatio-temporal saliency detection. - Yansheng Li 001; Yihua Tan; Jin-Gang Yu; Shengxiang Qi; Jinwen Tian (Comput. Vis. Image Underst., 2015)

Salient object detection via contrast information and object vision organization cues. - Shengxiang Qi; Jin-Gang Yu; Jie Ma; Yansheng Li 001; Jinwen Tian (Neurocomputing, 2015)

Temporally aligned pooling representation for video-based person re-identification. - Changxin Gao; Jin Wang 019; Leyuan Liu 001; Jin-Gang Yu; Nong Sang (ICIP, 2016)

A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences. - Yansheng Li 001; Yongjun Zhang 002; Jin-Gang Yu; Yihua Tan; Jinwen Tian; Jiayi Ma 001 (Inf. Sci., 2016)

Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation. - Jin-Gang Yu; Gui-Song Xia; Ashok Samal; Jinwen Tian (Pattern Recognit., 2016)

Image retrieval based on image-to-class similarity. - Jun Chen 019; Yong Wang 036; Linbo Luo 002; Jin-Gang Yu; Jiayi Ma 001 (Pattern Recognit. Lett., 2016)

Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update. - Changxin Gao; Huizhang Shi; Jin-Gang Yu; Nong Sang (Sensors, 2016)

A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues. - Jin-Gang Yu; Gui-Song Xia; Changxin Gao; Ashok Samal (IEEE Trans. Multim., 2016)

Robust Visual Tracking Using Exemplar-Based Detectors. - Changxin Gao; Feifei Chen; Jin-Gang Yu; Rui Huang 001; Nong Sang (IEEE Trans. Circuits Syst. Video Technol., 2017)

Robust and Efficient Ellipse Fitting Using Tangent Chord Distance. - Jiarong Ou; Jin-Gang Yu; Changxin Gao; Lichao Xiao; Zhifeng Liu (ACCV (3), 2018)

Spatially Attentive Correlation Filters for Visual Tracking. - Huai Qin; Zhixiong Pi; Changqian Yu; Changxin Gao; Jin-Gang Yu; Nong Sang (ICIP, 2018)

Fine-Grained Classification of Endoscopic Tympanic Membrane Images. - Lichao Xiao; Jin-Gang Yu; Jiarong Ou; Zhifeng Liu (ICIP, 2019)

Progressively Decomposing Graph Matching. - Jin-Gang Yu; Lichao Xiao; Jiarong Ou; Zhifeng Liu (IEEE Access, 2019)

Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification. - Changxin Gao; Jin Wang 019; Leyuan Liu 001; Jin-Gang Yu; Nong Sang (Sensors, 2019)

FGN: Fully Guided Network for Few-Shot Instance Segmentation. - Zhibo Fan; Jin-Gang Yu; Zhihao Liang; Jiarong Ou; Changxin Gao; Gui-Song Xia; Yuanqing Li 001 (CVPR, 2020)

Zero-Assignment Constraint for Graph Matching With Outliers. - Fudong Wang 001; Nan Xue 001; Jin-Gang Yu; Gui-Song Xia (CVPR, 2020)

Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images. - Lichao Xiao; Jin-Gang Yu; Zhifeng Liu; Jiarong Ou; Shule Deng; Zhenhua Yang; Yuanqing Li 001 (MICCAI (5), 2020)

Pose-guided spatiotemporal alignment for video-based person Re-identification. - Changxin Gao; Yang Chen; Jin-Gang Yu; Nong Sang (Inf. Sci., 2020)

Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis. - Jin-Gang Yu; Yansheng Li 001; Changxin Gao; Hongxia Gao; Gui-Song Xia; Zhu Liang Yu; Yuanqing Li 001 (IEEE Trans. Image Process., 2020)

Deep Graph Matching Under Quadratic Constraint. - Quankai Gao; Fudong Wang 001; Nan Xue 001; Jin-Gang Yu; Gui-Song Xia (CVPR, 2021)

Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model. - Shuangping Huang; Yu Luo; Zhenzhou Zhuang; Jin-Gang Yu; Mengchao He; Yongpan Wang (ACM Multimedia, 2021)

A simple graph-based semi-supervised learning approach for imbalanced classification. - Jianjin Deng; Jin-Gang Yu (Pattern Recognit., 2021)

WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation. - Jiarong Ou; Shule Deng; Jin-Gang Yu (Sensors, 2021)

Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. - Yansheng Li 001; Zhihui Zhu; Jin-Gang Yu; Yongjun Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2021)

Complete Instances Mining for Weakly Supervised Instance Segmentation. - Zecheng Li; Zening Zeng; Yuqi Liang; Jin-Gang Yu (IJCAI, 2023)

Learning Relative Feature Displacement for Few-Shot Open-Set Recognition. - Shule Deng; Jin-Gang Yu; Zihao Wu 004; Hongxia Gao; Yansheng Li 001; Yang Yang 066 (IEEE Trans. Multim., 2023)

Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition. - Xuehao Gao; Yang Yang 066; Yimeng Zhang; Maosen Li; Jin-Gang Yu; Shaoyi Du (IEEE Trans. Multim., 2023)

Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. - Beibei Yang; Changqian Yu; Jin-Gang Yu; Changxin Gao; Nong Sang (IEEE Trans. Cybern., 2023)

Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images. - Jin-Gang Yu; Zihao Wu 004; Yu Ming; Shule Deng; Yuanqing Li 001; Caifeng Ou; Chunjiang He; Baiye Wang; Pusheng Zhang; Yu Wang (Medical Image Anal., 2023)

Bayesian Collaborative Learning for Whole-Slide Image Classification. - Jin-Gang Yu; Zihao Wu 004; Yu Ming; Shule Deng; Qihang Wu; Zhongtang Xiong; Tianyou Yu; Gui-Song Xia; Qingping Jiang; Yuanqing Li 001 (IEEE Trans. Medical Imaging, 2023)

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. - Yuan Gao 015; Weizhong Zhang; Wenhan Luo; Lin Ma 002; Jin-Gang Yu; Gui-Song Xia; Jiayi Ma 001 (ICLR, 2024)

DMTG: One-Shot Differentiable Multi-Task Grouping. - Yuan Gao 015; Shuguo Jiang; Moran Li; Jin-Gang Yu; Gui-Song Xia (ICML, 2024)

Intensity Field Decomposition for Tissue-Guided Neural Tomography. - Meng-Xun Li; Jin-Gang Yu; Yuan Gao 015; Cui Huang; Gui-Song Xia (CoRR, 2024)

An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback. - Kendi Li; Weichen Huang; Wei Gao; Zijing Guan; Qiyun Huang; Jin-Gang Yu; Zhu Liang Yu; Yuanqing Li 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery. - Yansheng Li 001; Junwei Luo; Yongjun Zhang 002; Yihua Tan; Jin-Gang Yu; Song Bai 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation. - Yu Ming; Zihao Wu 004; Jie Yang 002; Danyi Li; Yuan Gao 015; Changxin Gao; Gui-Song Xia; Yuanqing Li 001; Li Liang; Jin-Gang Yu (IEEE Trans. Medical Imaging, 2025)