Robust multi-period portfolio model based on prospect theory and ALMV-PSO algorithm. - Jiahe Liu; Xiu Jin; Tianyang Wang; Ying Yuan (Expert Syst. Appl., 2015)

基于高光谱的砀山酥梨炭疽病害等级分类研究 (Research on Anthrax Disease Classification of Dangshan Pear Based on Hyperspectral Imaging Technology). - Shuxian Wen; Shaowen Li; Xiu Jin; Liu Zhao; Han Jiang (计算机科学, 2017)

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field. - Xiu Jin; Lu Jie 002; Shuai Wang; Haijun Qi; Shaowen Li (Remote. Sens., 2018)

Classifying a Limited Number of the Bamboo Species by the Transformation of Convolution Groups. - Xiu Jin; Xianzhi Zhu (CSAE, 2020)

Variance Minimization Hedging Analysis Based on a Time-Varying Markovian DCC-GARCH Model. - Jia Wang; MengChu Zhou; Xiu Jin; Xiwang Guo 001; Liang Qi 001; Xu Wang 024 (IEEE Trans Autom. Sci. Eng., 2020)

Using Online Information Support to Decrease Stress, Anxiety, and Depression. - Xiu Jin; Sangwoo Hahm (KSII Trans. Internet Inf. Syst., 2021)

A Quadratic Traversal Algorithm of Shortest Weeding Path Planning for Agricultural Mobile Robots in Cornfield. - Le Zhang; Rui Li; Zhiqiang Li; Yuyao Meng; Jinxin Liang; Leiyang Fu; Xiu Jin; Shaowen Li (J. Robotics, 2021)

SFYOLO: A Lightweight and Effective Network Based on Space-Friendly Aggregation Perception for Pear Detection. - Yipu Li; Yuan Rao 003; Xiu Jin; Zhaohui Jiang; Lu Liu; Yuwei Wang 002 (GPC, 2022)

A deep learning approach for orphan gene identification in moso bamboo (Phyllostachys edulis) based on the CNN + Transformer model. - Xiaodan Zhang; Jinxiang Xuan; Chensong Yao; Qijuan Gao; Lianglong Wang; Xiu Jin; Shaowen Li (BMC Bioinform., 2022)

Practical cucumber leaf disease recognition using improved Swin Transformer and small sample size. - Fengyi Wang; Yuan Rao 003; Qing Luo; Xiu Jin; Zhao-Hui Jiang; Wu Zhang; Shaowen Li (Comput. Electron. Agric., 2022)

Establishing Online Meeting Climate Types and Developing Measurements: Impact on Meeting Satisfaction. - Xiu Jin; Fusheng Zheng; Sangwoo Hahm (KSII Trans. Internet Inf. Syst., 2022)

Blockchain-Based Internet of Things: Machine Learning Tea Sensing Trusted Traceability System. - Yuting Wu; Xiu Jin; Honggang Yang; Lijing Tu; Yong Ye; Shaowen Li (J. Sensors, 2022)

SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification. - Wijayanti Nurul Khotimah; Farid Boussaïd; Ferdous Sohel; Lian Xu; David Edwards; Xiu Jin; Mohammed Bennamoun (Remote. Sens., 2022)

Multi-period portfolio optimization based on credibilistic lower and upper VaR ratios. - Xiu Jin; He Li; Yuting Hou (J. Intell. Fuzzy Syst., 2023)

The effect of creating shared value on enterprise image: focusing on mediating effects of environmental involvement. - Chenglin Qing; Xiu Jin; Yonghui Xu (Kybernetes, 2023)

YOLOv5s-FP: A Novel Method for In-Field Pear Detection Using a Transformer Encoder and Multi-Scale Collaboration Perception. - Yipu Li; Yuan Rao 003; Xiu Jin; Zhaohui Jiang; Yuwei Wang 002; Tan Wang; Fengyi Wang; Qing Luo; Lu Liu (Sensors, 2023)

FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features. - Yi Song; Li Liu; Yuan Rao 003; Xiaodan Zhang; Xiu Jin (Sensors, 2023)

TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search. - Xiu Jin; Jianghui Xiong; Yuan Rao 003; Tong Zhang; Wenjing Ba; Shangfeng Gu; Xiaodan Zhang; Jie Lu (Comput. Electron. Agric., 2023)

MAE-NIR: A masked autoencoder that enhances near-infrared spectral data to predict soil properties. - Midi Wan; Taiyu Yan; Guoxia Xu; Aibing Liu; Yangbin Zhou; Hao Wang 003; Xiu Jin (Comput. Electron. Agric., 2023)

MLP-based multimodal tomato detection in complex scenarios: Insights from task-specific analysis of feature fusion architectures. - Wenjun Chen; Yuan Rao 003; Fengyi Wang; Yu Zhang; Tan Wang; Xiu Jin; Wenhui Hou; Zhaohui Jiang; Wu Zhang (Comput. Electron. Agric., 2024)

SoybeanTracer: An In-Field scene property-based framework for high-throughput soybean canopy coverage extraction and evaluation. - Tianyu Wan; Xiu Jin; Yuan Rao 003; Jiajia Li; Tan Wang; Zhaohui Jiang; Wu Zhang; Shaowen Li; Tong Zhang; Xiaobo Wang (Comput. Electron. Agric., 2024)

DSBEAN: An innovative framework for intelligent soybean breeding phenotype analysis based on various main stem structures and deep learning methods. - Zhe Zhang; Xiu Jin; Yuan Rao 003; Tianyu Wan; Xiaobo Wang; Jiajia Li; Haoran Chen; Kanglei Wu; Fanchen Kong; Zhuo Tian; Xing Shao (Comput. Electron. Agric., 2024)

Enhancing CNN efficiency through mutual information-based filter pruning. - Jingqi Lu; Ruiqing Wang; Guanpeng Zuo; Wu Zhang; Xiu Jin; Yuan Rao 003 (Digit. Signal Process., 2024)

The Effect of a High-Performance Work System on Organizational Innovation Performance: The Mediating Effect of Employees' Intrinsic Motivation and the Moderating Effect of Person-Organization Fit. - Yu Wang 262; Lingfeng Zhu; Xiu Jin (Syst., 2024)

Nondestructive Detection of Corky Disease in Symptomless 'Akizuki' Pears via Raman Spectroscopy. - Yue Yang; Weizhi Yang; Hanhan Zhang; Jing Xu; Xiu Jin; Xiaodan Zhang; Zhengfeng Ye; Xiaomei Tang; Lun Liu; Wei Heng; Bing Jia; Li Liu (Sensors, 2024)

Temporal 2D-cycle-generation framework for time series classification. - Xi Chen; Xiu Jin; Hua Zhang; Jianghui Xiong; Youhui Deng; Xiaodan Zhang (Appl. Soft Comput., 2025)

GCNMF-SDA: predicting snoRNA-disease associations based on graph convolution and non-negative matrix factorization. - Yaowu Zhang; Xiu Jin; Xiaodan Zhang (Briefings Bioinform., 2025)

Analyzing different phenotypic methods of soybean leaves under the high temperature stress with near-infrared spectroscopy, microscopic Image, and multispectral image. - Youhui Deng; Weizhi Yang; Jiajia Li; Xiaodan Zhang; Yuan Rao; Haoran Chen; Jianghui Xiong; Xi Chen; Xiaobo Wang; Xiu Jin (Comput. Electron. Agric., 2025)

Hallucination Alleviation-based smart decision for early soybean cultivation in greenhouse and field scenarios. - Chuankun Zhang; Dan Jiang; Tianyu Wan; Yuan Rao 003; Xiu Jin; Tan Wang; Xiaobo Wang; Jiajia Li; Wu Zhang; Xing Shao (Comput. Electron. Agric., 2025)

Practical framework for generative on-branch soybean pod detection in occlusion and class imbalance scenes. - Kanglei Wu; Tan Wang; Yuan Rao 003; Xiu Jin; Xiaobo Wang; Jiajia Li; Zhe Zhang; Zhaohui Jiang; Xing Shao; Wu Zhang (Eng. Appl. Artif. Intell., 2025)

MFF-nDA: A Computational Model for ncRNA-Disease Association Prediction Based on Multimodule Fusion. - Zhihao Guan; Xiu Jin; Xiaodan Zhang (J. Chem. Inf. Model., 2025)