Yuzhong Peng

According to our database, Yuzhong Peng authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Zhengyi Lei

Appl. Soft Comput., December, 2024

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.

Shaojie Qiao, Nan Han, He Li, Guan Yuan, Tao Wu, Yuzhong Peng, Hongguo Cai, Jiangtao Huang

Appl. Intell., September, 2024

CDSC: Causal decomposition based on spectral clustering.

Shaofan Chen, Yuzhong Peng, Guoyuan He, Hao Zhang, Li Cai, Chengdong Wei

Inf. Sci., February, 2024

CDRM: Causal disentangled representation learning for missing data.

Mingjie Chen, Hongcheng Wang, Ruxin Wang, Yuzhong Peng, Hao Zhang

Knowl. Based Syst., 2024

MvMRL: a multi-view molecular representation learning method for molecular property prediction.

Ru Zhang, Yanmei Lin, Yijia Wu, Lei Deng, Hao Zhang, Mingzhi Liao, Yuzhong Peng

Briefings Bioinform., 2024

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., December, 2023

Unveiling the multi-target compounds of <i>Rhazya stricta</i>: 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, October, 2023

Imbalanced data classification: Using transfer learning and active sampling.

Yang Liu, Guoping Yang, Shaojie Qiao, Meiqi Liu, Lulu Qu, Nan Han, Tao Wu, Guan Yuan, Tao Wu, Yuzhong Peng

Eng. Appl. Artif. Intell., 2023

Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method.

Hongliang Zhou, Yanmei Lin, Nan Chen, Yuzhong Peng

Proceedings of the Applied Intelligence - First International Conference, 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

Proceedings of the Applied Intelligence - First International Conference, 2023

GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction^*.

Yuzhong Peng, Hao Zhang, Ziqiao Zhang, Yanmei Lin, Shuigeng Zhou, Shaojie Qiao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

An automatic hyperparameter optimization DNN model for precipitation prediction.

Yuzhong Peng, Daoqing Gong, Chuyan Deng, Hongya Li, Hongguo Cai, Hao Zhang

Appl. Intell., 2022

2020

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.

Yuzhong Peng, Yanmei Lin, Xiao-Yuan Jing, Hao Zhang, Yiran Huang, Guangsheng Luo

IEEE Access, 2020

Overview of Intelligent Online Banking System Based on HERCULES Architecture.

Guangsheng Luo, Wenwei Li, Yuzhong Peng

IEEE Access, 2020

2019

An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.

Yuzhong Peng, Huasheng Zhao, Hao Zhang, Wenwei Li, Xiao Qin, Jianping Liao, Zhiping Liu, Jie Li

Int. J. Comput. Intell. Syst., 2019

A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming.

Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang

CoRR, 2019

A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization.

Chuyan Deng, Yuzhong Peng, Hongya Li, Daoqing Gong, Hao Zhang, Zhiping Liu

CoRR, 2019

TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning.

Yuzhong Peng, Ziqiao Zhang, Qizhi Jiang, Jihong Guan, Shuigeng Zhou

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

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

Proceedings of the Intelligent Computing Theories and Application, 2018

A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP.

Yuzhong Peng, Huasheng Zhao, Jie Li, Xiao Qin, Jianping Liao, Zhiping Liu

Proceedings of ELM 2018, 2018

2017

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