In silico identification of Gram-negative bacterial secreted proteins from primary sequence. - Lezheng Yu; Jiesi Luo; Yanzhi Guo; Yizhou Li; Xuemei Pu; Menglong Li (Comput. Biol. Medicine, 2013)

A functional feature analysis on diverse protein-protein interactions: application for the prediction of binding affinity. - Jiesi Luo; Yanzhi Guo; Yun Zhong; Duo Ma; Wenling Li; Menglong Li (J. Comput. Aided Mol. Des., 2014)

Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder. - Yuanyuan Fu; Yanzhi Guo; Yuelong Wang; Jiesi Luo; Xuemei Pu; Menglong Li; Zhihang Zhang (Comput. Biol. Chem., 2015)

Deep Learning With Emerging New Labels for Fault Diagnosis. - Shaohui Zhang; Man Wang; Weihua Li 004; Jiesi Luo; Zusheng Lin (IEEE Access, 2019)

DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequence. - Li Xue; Bin Tang; Wei Chen; Jiesi Luo (Bioinform., 2019)

Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks. - Jiesi Luo; Wei Chen; Li Xue; Bin Tang (BMC Bioinform., 2019)

Prediction of CRISPR sgRNA Activity Using a Deep Convolutional Neural Network. - Li Xue; Bin Tang; Wei Chen; Jiesi Luo (J. Chem. Inf. Model., 2019)

ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors. - Jie Li 045; Zhong Li; Jiesi Luo; Yuhua Yao (Comput. Math. Methods Medicine, 2020)

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences. - Runyu Jing; Yizhou Li; Li Xue; Fengjuan Liu; Menglong Li; Jiesi Luo (J. Chem. Inf. Model., 2020)

Global Glacial Isostatic Adjustment Constrained by GPS Measurements: Spherical Harmonic Analyses of Uplifts and Geopotential Variations. - Yan Zhou; Shaomin Yang; Jiesi Luo; Jim Ray; Yong Huang; Jiancheng Li (Remote. Sens., 2020)

A Loading Correction Model for GPS Measurements Derived from Multiple-Data Combined Monthly Gravity. - Jiesi Luo; Wei Chen 116; Jim Ray; Tonie van Dam; Jiancheng Li (Remote. Sens., 2021)

Occluded Pedestrian Detection and Image Recognition with Multi-Attention Context Networks. - Weidong Zha; Fang Wang; Jiesi Luo; Lin Hu 001 (ICCSIE, 2022)

Multi-model predictive analysis of RNA solvent accessibility based on modified residual attention mechanism. - Yuyao Huang; Jiesi Luo; Runyu Jing; Menglong Li (Briefings Bioinform., 2022)

Excitations of Seasonal Polar Motions Derived from Satellite Gravimetry and General Circulation Models: Comparisons of Harmonic and Inharmonic Analyses. - Haibo Liu; Yan Zhou; Jim Ray; Jiesi Luo (Remote. Sens., 2022)

Adaptively Adjusted EKF-Based Magnet Tracking Method for Fast-Moving Object. - Jiesi Luo; Qiaoyuan Huang; Houde Dai; Shushu Wang; Yuguang Chen (IEEE Trans. Instrum. Meas., 2023)

A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm. - Yonglin Zhang; Mei Hu; Qi Mo; Wenli Gan; Jiesi Luo (J. Bioinform. Comput. Biol., 2023)

Identification of Active Molecules against Thrombocytopenia through Machine Learning. - Youyou Yang; Wenli Gan; Lei Lin; Long Wang; Jianming Wu; Jiesi Luo (J. Chem. Inf. Model., 2024)

Sequence-based malware detection using a single-bidirectional graph embedding and multi-task learning framework. - Jiale Luo; Zhewngyu Zhang; Jiesi Luo; Pin Yang; Runyu Jing (J. Comput. Secur., 2024)

Unveiling diagnostic information for type 2 diabetes through interpretable machine learning. - Xiang Lv; Jiesi Luo; Yonglin Zhang; Hui Guo; Ming Yang; Menglong Li; Qi Chen; Runyu Jing (Inf. Sci., 2025)