Security for Resource Allocation Based on Trust and Reputation in Computational Economy Model for Grid. - Junfeng Tian; Peng Yuan 008; Yuzhen Lu (FCST, 2009)

A weighted closeness-based trust combination model. - Junfeng Tian; Yuzhen Lu; Peng Yuan 008 (ICIS, 2009)

A Trust Discovery Model Based on Weighted Closeness. - Junfeng Tian; Yuzhen Lu; Peng Yuan 008 (ISPAN, 2009)

Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution. - Yuzhen Lu; Pu Dong; Qing Li (ICONIP (2), 2012)

Fast demodulation of pattern images by spiral phase transform in structured-illumination reflectance imaging for detection of bruises in apples. - Yuzhen Lu; Richard Li; Renfu Lu (Comput. Electron. Agric., 2016)

Food Image Recognition by Using Convolutional Neural Networks (CNNs). - Yuzhen Lu (CoRR, 2016)

Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM). - Yuzhen Lu (CoRR, 2016)

Simplified gating in long short-term memory (LSTM) recurrent neural networks. - Yuzhen Lu; Fathi M. Salem (MWSCAS, 2017)

Out-of-focus Blur: Image De-blurring. - Yuzhen Lu (CoRR, 2017)

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. - Deyi Wang; Jianchao Fan; Min Han 001; Ping Guo 002; Yuzhen Lu (SSCI, 2018)

Fast Bi-dimensional empirical mode decomposition as an image enhancement technique for fruit defect detection. - Yuzhen Lu; Renfu Lu (Comput. Electron. Agric., 2018)

Data-Based Approximate Policy Iteration for Optimal Course-Keeping Control of Marine Surface Vessels. - Yuming Bai; Yifan Liu; Qi-He Shan; Tieshan Li; Yuzhen Lu (ISNN (2), 2019)

Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers. - Yuzhen Lu; Renfu Lu (Comput. Electron. Agric., 2020)

A survey of public datasets for computer vision tasks in precision agriculture. - Yuzhen Lu; Sierra N. Young (Comput. Electron. Agric., 2020)

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems. - Dong Chen 016; Yuzhen Lu; Zhaojiang Li; Sierra N. Young (CoRR, 2021)

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings. - Piyush Pandey; Kitt G. Payn; Yuzhen Lu; Austin J. Heine; Trevor D. Walker; Juan J. Acosta; Sierra N. Young (Remote. Sens., 2021)

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems. - Dong Chen 016; Yuzhen Lu; Zhaojian Li; Sierra N. Young (Comput. Electron. Agric., 2022)

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. - Yuzhen Lu; Dong Chen 016; Ebenezer Olaniyi; Yanbo Huang (Comput. Electron. Agric., 2022)

Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (Cannabis sativa L.). - Yuzhen Lu; Xu Li; Sierra Young; Xin Li; Eric Linder; David Suchoff (Comput. Electron. Agric., 2022)

Robust plant segmentation of color images based on image contrast optimization. - Yuzhen Lu; Sierra N. Young; Haifeng Wang; Nuwan Wijewardane (Comput. Electron. Agric., 2022)

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review. - Ebenezer Olaniyi; Dong Chen; Yuzhen Lu; Yanbo Huang (CoRR, 2022)

Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach. - Dong Chen; Xinda Qi; Yu Zheng; Yuzhen Lu; Zhaojian Li (CoRR, 2022)

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems. - Fengying Dang; Dong Chen 016; Yuzhen Lu; Zhaojian Li (Comput. Electron. Agric., 2023)

Integration and preliminary evaluation of a robotic cotton harvester prototype. - Hussein Gharakhani; J. Alex Thomasson; Yuzhen Lu (Comput. Electron. Agric., 2023)

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence. - Md. Toukir Ahmed; Nuwan Wijewardane; Yuzhen Lu; Daniela S. Jones; Michael W. Kudenov; Cranos M. Williams; Arthur Villordon; Mohammed Kamruzzaman (Comput. Electron. Agric., 2024)

Field test and evaluation of an innovative vision-guided robotic cotton harvester. - Hussein Gharakhani; J. Alex Thomasson; Yuzhen Lu; K. Raja Reddy (Comput. Electron. Agric., 2024)

Prototyping and evaluation of a novel machine vision system for real-time, automated quality grading of sweetpotatoes. - Jiajun Xu; Yuzhen Lu (Comput. Electron. Agric., 2024)

Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Survey. - Anil Bhujel; Yibin Wang; Yuzhen Lu; Daniel Morris 002; Mukesh Dangol (CoRR, 2024)

Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation. - Boyang Deng; Yuzhen Lu; Jiajun Xu (Ecol. Informatics, 2024)

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition. - Dong Chen 016; Xinda Qi; Yu Zheng; Yuzhen Lu; Yanbo Huang; Zhaojian Li (Comput. Electron. Agric., 2024)

Classification of Urban Surface Elements by Combining Multisource Data and Ontology. - Ling Zhu; Yuzhen Lu; YeWen Fan (Remote. Sens., 2024)

A systematic survey of public computer vision datasets for precision livestock farming. - Anil Bhujel; Yibin Wang; Yuzhen Lu; Daniel Morris 002; Mukesh Dangol (Comput. Electron. Agric., 2025)

Weed image augmentation by ControlNet-added stable diffusion for multi-class weed detection. - Boyang Deng; Yuzhen Lu (Comput. Electron. Agric., 2025)

Automated asparagus harvesting technology: A review of research and developments since the 1950s in the United States and beyond. - Yuzhen Lu; Parvin Mohammadi (Comput. Electron. Agric., 2025)

Semi-Supervised Weed Detection in Vegetable Fields: In-domain and Cross-domain Experiments. - Boyang Deng; Yuzhen Lu (CoRR, 2025)