Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis. - Guizhen Mai; Yinghan Hong; Shiguo Peng; Yuzhong Peng (IEEE Access, 2017)

A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP. - Yuzhong Peng; Huasheng Zhao; Jie Li; Xiao Qin 005; Jianping Liao; Zhiping Liu (ELM, 2018)

Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD. - Hongya Li; Yuzhong Peng; Chuyan Deng; Yonghua Pan; Daoqing Gong; Hao Zhang 079 (ICIC (1), 2018)

TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning. - Yuzhong Peng; Ziqiao Zhang; Qizhi Jiang; Jihong Guan; Shuigeng Zhou (BIBM, 2019)

A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization. - Chuyan Deng; Yuzhong Peng; Hongya Li; Daoqing Gong; Hao Zhang 079; Zhiping Liu (CoRR, 2019)

A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. - Hongya Li; Yuzhong Peng; Chuyan Deng; Yonghua Pan; Daoqing Gong; Hao Zhang 079 (CoRR, 2019)

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction. - Yuzhong Peng; Huasheng Zhao; Hao Zhang 079; Wenwei Li; Xiao Qin 005; Jianping Liao; Zhiping Liu; Jie Li (Int. J. Comput. Intell. Syst., 2019)

Overview of Intelligent Online Banking System Based on HERCULES Architecture. - Guangsheng Luo; Wenwei Li; Yuzhong Peng (IEEE Access, 2020)

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction. - Yuzhong Peng; Yanmei Lin; Xiao-Yuan Jing; Hao Zhang 079; Yiran Huang; Guangsheng Luo (IEEE Access, 2020)

An automatic hyperparameter optimization DNN model for precipitation prediction. - Yuzhong Peng; Daoqing Gong; Chuyan Deng; Hongya Li; Hongguo Cai; Hao Zhang 079 (Appl. Intell., 2022)

A new clustering mining algorithm for multi-source imbalanced location data. - Li Cai; Haoyu Wang; Fang Jiang; Yihan Zhang; Yuzhong Peng (Inf. Sci., 2022)

GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction*. - Yuzhong Peng; Hao Zhang 079; Ziqiao Zhang; Yanmei Lin; Shuigeng Zhou; Shaojie Qiao (BIBM, 2023)

T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network. - Yijia Wu; Yanmei Lin; Yuzhong Peng; Ru Zhang; Li Cai (ICAI (1), 2023)

Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method. - Hongliang Zhou; Yanmei Lin; Nan Chen; Yuzhong Peng (ICAI (1), 2023)

Imbalanced data classification: Using transfer learning and active sampling. - Yang Liu; Guoping Yang; Shaojie Qiao; Meiqi Liu; Lulu Qu; Nan Han; Tao Wu 003; Guan Yuan; Tao Wu 003; Yuzhong Peng (Eng. Appl. Artif. Intell., 2023)

Unveiling the multi-target compounds of Rhazya stricta: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma. - Abdur Rehman; Israr Fatima; Yinuo Wang; Jiapei Tong; Fatima Noor; Muhammad Qasim; Yuzhong Peng; Mingzhi Liao (Comput. Biol. Medicine, 2023)

MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. - Yating Zhong; Yuzhong Peng; Yanmei Lin; Dingjia Chen; Hao Zhang; Wen Zheng; Yuanyuan Chen; Changliang Wu (BMC Medical Informatics Decis. Mak., 2023)

GEP-Graph4MD: An Automatic Molecular Generation Method Based on Gene Expression Programming with Graph-Based Modeling. - Yongcai Chen; Long Xu; Wen Zheng; Hongguo Cai; Yanmei Lin; Yuzhong Peng (ICAI (1), 2024)

A Multi-module Hybrid Neural Framework for Transformer-Based Drug Response Prediction. - Yuanyuan Chen; Wen Zheng; Hongguo Cai; Yanmei Lin; Yuzhong Peng (ICAI (1), 2024)

RePCMA-YOLOv8n: A Lightweight Traffic Sign Detection Model. - Lei Huang; Hongguo Cai; Yuzhong Peng; Jianping Liao (ICAI (2), 2024)

Minimizing Enzyme Mass to Decompose Flux Distribution in Genome-Scale Metabolic Network for Identifying Active Elementary Flux Modes. - Song Mei; Jingning Chen; Feng Zhan; Yuzhong Peng; Yiran Huang (ICAI (1), 2024)

MvMRL: a multi-view molecular representation learning method for molecular property prediction. - Ru Zhang; Yanmei Lin; Yijia Wu; Lei Deng 002; Hao Zhang; Mingzhi Liao; Yuzhong Peng (Briefings Bioinform., 2024)

CDRM: Causal disentangled representation learning for missing data. - Mingjie Chen; Hongcheng Wang; Ruxin Wang 001; Yuzhong Peng; Hao Zhang 079 (Knowl. Based Syst., 2024)

CDSC: Causal decomposition based on spectral clustering. - Shaofan Chen; Yuzhong Peng; Guoyuan He; Hao Zhang; Li Cai; Chengdong Wei (Inf. Sci., 2024)

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions. - Shaojie Qiao; Nan Han; He Li 006; Guan Yuan; Tao Wu 003; Yuzhong Peng; Hongguo Cai; Jiangtao Huang (Appl. Intell., 2024)

An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning. - Shaojie Qiao; Nan Han; Jiangtao Huang; Yuzhong Peng; Hongguo Cai; Xiao Qin 005; Zhengyi Lei (Appl. Soft Comput., 2024)

GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification. - Yuanpeng Zeng; Ru Zhang; Hao Zhang 079; Shaojie Qiao; Faliang Huang; Qing Tian 001; Yuzhong Peng (IEEE Trans. Multim., 2025)

GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming. - Wen Zheng; Zhongji Li; Yuanyuan Chen; Wenjia Liao; Lei Deng 002; Hao Zhang; Yanmei Lin; Yuzhong Peng (Health Inf. Sci. Syst., 2025)