Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods. - Yahui Guo; Guodong Yin; Hongyong Sun; Hanxi Wang; Shouzhi Chen; J. Senthilnath 001; Jingzhe Wang; Yongshuo Fu (Sensors, 2020)

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. - Yahui Guo; Yongshuo Fu; Shouzhi Chen; Christopher Robin Bryant; Xinxi Li; J. Senthilnath 001; Hongyong Sun; Shuxin Wang; Zhaofei Wu; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Pairwise Learning for Neural Link Prediction. - Zhitao Wang; Yong Zhou; Litao Hong; Yuanhang Zou; Hanjing Su; Shouzhi Chen (CoRR, 2021)

Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. - Yahui Guo; Shouzhi Chen; Zhaofei Wu; Shuxin Wang; Christopher Robin Bryant; J. Senthilnath 001; Mario Cunha; Yongshuo Fu (Remote. Sens., 2021)

NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides. - Shouzhi Chen; Qing Li; Jianping Zhao 001; Yannan Bin; Chunhou Zheng 001 (Briefings Bioinform., 2022)

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning. - Yaomin Chang; Chuan Chen 001; Weibo Hu; Zibin Zheng; Xiaocong Zhou; Shouzhi Chen (Knowl. Based Syst., 2022)

Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams. - Yahui Guo; Shouzhi Chen; Yongshuo Fu; Yi Xiao; Wenxiang Wu; Hanxi Wang; Kirsten M. de Beurs (Remote. Sens., 2022)

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. - Yahui Guo; Shouzhi Chen; Xinxi Li; Mario Cunha; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. - Yahui Guo; Xuan Zhang; Shouzhi Chen; Hanxi Wang; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. - Shouzhi Chen; Yanhong Liao; Jianping Zhao 001; Yannan Bin; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique. - Yanhong Liao; Shouzhi Chen; Yannan Bin; Jianping Zhao 001; Xinlong Feng; Chun-Hou Zheng 001 (Comput. Methods Programs Biomed., 2024)

XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model. - Zhitao Wang; Wei Wang; Zirao Li; Long Wang; Can Yi; Xinjie Xu; Luyang Cao; Hanjing Su; Shouzhi Chen; Jun Zhou (CoRR, 2024)

A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance. - Shouzhi Chen; Zhenchao Tang; Linlin You; Calvin Yu-Chian Chen (Knowl. Based Syst., 2024)

Precise occlusion-aware and feature-level reconstruction for occluded person re-identification. - Xiujun Shu; Hanjun Li 002; Wei Wen; Ruizhi Qiao; Nannan Li; Weijian Ruan; Hanjing Su; Bo Wang; Shouzhi Chen; Jun Zhou (Neurocomputing, 2025)

Modal-NexT: Towards unified heterogeneous cellular data integration. - Zhenchao Tang; Guanxing Chen; Shouzhi Chen; Haohuai He; Jiehui Huang; Tiejun Dong; Jun Zhou; Lu Zhao; Linlin You; Calvin Yu-Chian Chen (Inf. Fusion, 2026)