A Genetic Algorithm approach for selecting Tikhonov regularization parameter. - Chuansheng Wu; Jinrong He; Xiufen Zou (IEEE Congress on Evolutionary Computation, 2008)

A flexible and efficient algorithm for regularized Marginal Fisher analysis. - Jinrong He; Lixin Ding; Lei Jiang 007; Li Huang (IJCNN, 2014)

Kernel ridge regression classification. - Jinrong He; Lixin Ding; Lei Jiang 007; Ling Ma (IJCNN, 2014)

Face Representation with Gradient orientations and Euler Mapping: Application to Face Recognition. - Zhaokui Li; Lixin Ding; Yan Wang 087; Jinrong He (Int. J. Pattern Recognit. Artif. Intell., 2014)

Intrinsic dimensionality estimation based on manifold assumption. - Jinrong He; Lixin Ding; Lei Jiang 007; Zhaokui Li; Qinghui Hu (J. Vis. Commun. Image Represent., 2014)

Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. - Guoliang He; Yong Duan; Yifei Li; Tieyun Qian; Jinrong He; Xiangyang Jia (ICTAI, 2015)

精英正交学习萤火虫算法 (Elite Orthogonal Learning Firefly Algorithm). - Lingyun Zhou; Lixin Ding; Jinrong He (计算机科学, 2015)

Orthogonal margin discriminant projection for dimensionality reduction. - Jinrong He; Di Wu; Naixue Xiong; Chuansheng Wu (J. Supercomput., 2016)

Critical data points-based unsupervised linear dimension reduction technology for science data. - Di Wu; Naixue Xiong; Jinrong He; Chuanhe Huang (J. Supercomput., 2016)

Density-based multi-manifold ISOMAP for data classification. - Xiangyuan Li; Cheng Cai; Jinrong He (APSIPA, 2017)

Toward Emotion-Aware Computing: A Loop Selection Approach Based on Machine Learning for Speculative Multithreading. - Bin Liu 023; Jinrong He; Yaojun Geng; Lvwen Huang; Shuqin Li (IEEE Access, 2017)

Unsupervised feature selection based on decision graph. - Jinrong He; Yingzhou Bi; Lixin Ding; Zhaokui Li; Shenwen Wang (Neural Comput. Appl., 2017)

Image preprocessing method based on local approximation gradient with application to face recognition. - Zhaokui Li; Yan Wang 087; Chunlong Fan; Jinrong He (Pattern Anal. Appl., 2017)

Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging. - Yaguang Jia; Jinrong He; Hongfei Fu 003; Xiatian Shao; Zhaokui Li (IScIDE, 2018)

Regression Analysis for Dairy Cattle Body Condition Scoring Based on Dorsal Images. - Heng Pan; Jinrong He; Yu Ling; Guoliang He (IScIDE, 2018)

A Co-training Approach for Multi-view Density Peak Clustering. - Yu Ling; Jinrong He; Silin Ren; Heng Pan; Guoliang He (PRCV (3), 2018)

基于密度缩放因子的ISOMAP算法 (Density Scaling Factor Based ISOMAP Algorithm). - Xiangyuan Li; Cheng Cai; Jinrong He (计算机科学, 2018)

Graph regularized multiview marginal discriminant projection. - Heng Pan; Jinrong He; Yu Ling; Lie Ju; Guoliang He (J. Vis. Commun. Image Represent., 2018)

An effective information detection method for social big data. - Jinrong He; Naixue Xiong (Multim. Tools Appl., 2018)

Orthogonal Graph Regularized Nonnegative Matrix Factorization for Image Clustering. - Jinrong He; Dongjian He; Bin Liu 023; Wenfa Wang (Big Data (CCF), 2019)

Multi-objective Optimization Algorithm Based on Uniform Design and Differential Evolution. - Jinrong He; Dongjian He; Aiqing Shi; Guoliang He (ISICA, 2019)

A Parallel Retinex Image Enhancement Algorithm Based on OpenMP. - Shixiong Cheng; Bin Liu 023; Dongjian He; Jinrong He; Yuancheng Li; Yanning Du (NPC, 2019)

A Local Potential-Based Clustering Algorithm for Unsupervised Hyperspectral Band Selection. - Zhaokui Li; Lin Huang; Jinrong He; Cuiwei Liu; Xiangbin Shi; Deyuan Zhang (IEEE Access, 2019)

Parallel Fast Pencil Drawing Generation Algorithm Based on GPU. - Jiyan Qiu; Bin Liu 023; Jinrong He; Chaoyang Liu; Yuancheng Li (IEEE Access, 2019)

Deep cascaded convolutional models for cattle pose estimation. - Xiangyuan Li; Cheng Cai; Ruifei Zhang; Lie Ju; Jinrong He (Comput. Electron. Agric., 2019)

Graph-dual Laplacian principal component analysis. - Jinrong He; Yingzhou Bi; Bin Liu 023; Zhigao Zeng (J. Ambient Intell. Humaniz. Comput., 2019)

A Multiscale Deep Middle-level Feature Fusion Network for Hyperspectral Classification. - Zhaokui Li; Lin Huang; Jinrong He (Remote. Sens., 2019)

Kiwifruit Leaf Disease Identification Using Improved Deep Convolutional Neural Networks. - Bin Liu 023; Zefeng Ding; Yun Zhang; Dongjian He; Jinrong He (COMPSAC, 2020)

A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification. - Bin Liu 023; Cheng Tan 012; Shuqin Li; Jinrong He; Hongyan Wang (IEEE Access, 2020)

Image retrieval via learning content-based deep quality model towards big data. - Yikun Yang; Shengjie Jiao; Jinrong He; Bisheng Xia; Jiabo Li; Ru Xiao (Future Gener. Comput. Syst., 2020)

A Two-stage Deep Domain Adaptation Method for Hyperspectral Image Classification. - Zhaokui Li; Xiangyi Tang; Wei Li 032; Chuanyun Wang; Cuiwei Liu; Jinrong He (Remote. Sens., 2020)

Orthogonal Dual Graph Regularized Nonnegative Matrix Factorization. - Jinrong He; Yanxin Shi; Zongwen Bai; Zeyu Bao (ICIG (2), 2021)

MEAN-SSD: A novel real-time detector for apple leaf diseases using improved light-weight convolutional neural networks. - Henan Sun; Haowei Xu; Bin Liu 023; Dongjian He; Jinrong He; Hai-Tao Zhang; Nan Geng (Comput. Electron. Agric., 2021)

A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data. - Guoliang He; Yanzhou Pan; Xuewen Xia; Jinrong He; Rong Peng; Neal N. Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model. - Jinrong He; Yuanhao Liu; Longlong Zhai; Hanchi Liu (6GN (2), 2023)

Disease Recognition of Plants Leaves in Northern Shaanxi Based on Siamese Networks. - Jinrong He; Jiayi Zhang; Yani Sun; Li Yang (6GN (2), 2023)

A Segmentation Method Based on SE Attention and U-Net for Apple Image. - Liang Gao; Jinrong He; Longlong Zhai; Yiting He (ICIG (2), 2023)

Green Independent Innovation or Green Imitation Innovation? Supply Chain Decision-Making in the Operation Stage of Construction and Demolition Waste Recycling Public‒Private Partnership Projects. - Chuyue Zhou; Jinrong He; Yuejia Li; Weihong Chen; Yu Zhang; Hao Zhang 135; Shiqi Xu; Xingwei Li (Syst., 2023)

Recognizing Adenoid Hypertrophy from Facial Images with Multi-scale Feature Fused State Space Model. - Shuai Ma; Jinrong He; Yao Wang; Yingzhou Bi; Li Yang (CCBR (2), 2024)

Self-supervised Siamese Networks with Squeeze-Excitation Attention for Ear Image Recognition. - Jinrong He; Yiting He; Longlong Zhai; Yingzhou Bi (ICIC (6), 2024)

Forecasting air quality Index in yan'an using temporal encoded Informer. - Shuai Ma; Jinrong He; Jinwei He; Qiang Feng; Yingzhou Bi (Expert Syst. Appl., 2024)

Few-shot tire tracks recognition based on metric learning. - Longlong Zhai; Jinrong He; Zhaokui Li; Yingzhou Bi (Eng. Appl. Artif. Intell., 2025)

Semantic Guided prototype learning for Cross-Domain Few-Shot hyperspectral image classification. - Yuhang Li; Jinrong He; Hanchi Liu; Yurong Zhang; Zhaokui Li (Expert Syst. Appl., 2025)

Multimodal prototypical networks with Co-metric fusion for few-shot hyperspectral image classification. - Yuhang Li; Jinrong He; Hanchi Liu; Yurong Zhang; Zhaokui Li (Neurocomputing, 2025)

Multilevel Prototype Alignment for Cross-Domain Few-Shot Hyperspectral Image Classification. - Hanchi Liu; Jinrong He; Yuhang Li; Yingzhou Bi (IEEE Trans. Geosci. Remote. Sens., 2025)

Convolutional Feature Enhancement and Attention Fusion BiFPN for Ship Detection in SAR Images. - Liangjie Meng; Danxia Li; Jinrong He; Lili Ma; Zhixin Li (CoRR, 2025)