Yuzhong Peng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Active Sampling

Gene Expression Programming

Forecasting Model

Causal Networks

Top Venues

Publications

Shaofan Chen, Yuzhong Peng, Guoyuan He, Hao Zhang, Li Cai, Chengdong Wei
CDSC: Causal decomposition based on spectral clustering. Inf. Sci. 657 (2024)
Shaojie Qiao, Nan Han, He Li, Guan Yuan, Tao Wu, Yuzhong Peng, Hongguo Cai, Jiangtao Huang
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions. Appl. Intell. 54 (17-18) (2024)
Mingjie Chen, Hongcheng Wang, Ruxin Wang, Yuzhong Peng, Hao Zhang
CDRM: Causal disentangled representation learning for missing data. Knowl. Based Syst. 299 (2024)
Ru Zhang, Yanmei Lin, Yijia Wu, Lei Deng, Hao Zhang, Mingzhi Liao, Yuzhong Peng
MvMRL: a multi-view molecular representation learning method for molecular property prediction. Briefings Bioinform. 25 (4) (2024)
Shaojie Qiao, Nan Han, Jiangtao Huang, Yuzhong Peng, Hongguo Cai, Xiao Qin, Zhengyi Lei
An three-in-one on-demand ride-hailing prediction model based on multi-agent reinforcement learning. Appl. Soft Comput. 149 (Part A) (2024)
Yuzhong Peng, Hao Zhang, Ziqiao Zhang, Yanmei Lin, Shuigeng Zhou, Shaojie Qiao
. BIBM (2023)
Yang Liu, Guoping Yang, Shaojie Qiao, Meiqi Liu, Lulu Qu, Nan Han, Tao Wu, Guan Yuan, Tao Wu, Yuzhong Peng
Imbalanced data classification: Using transfer learning and active sampling. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Yijia Wu, Yanmei Lin, Yuzhong Peng, Ru Zhang, Li Cai
T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network. ICAI (1) (2023)
Hongliang Zhou, Yanmei Lin, Nan Chen, Yuzhong Peng
Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method. ICAI (1) (2023)
Abdur Rehman, Israr Fatima, Yinuo Wang, Jiapei Tong, Fatima Noor, Muhammad Qasim, Yuzhong Peng, Mingzhi Liao
: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma. Comput. Biol. Medicine 165 (2023)
Guo-Ping Yang, Bangping Wang, Shaojie Qiao, Lulu Qu, Nan Han, Guan Yuan, He Li, Tao Wu, Yuzhong Peng
Distilled and filtered deep neural networks for real-time object detection in edge computing. Neurocomputing 505 (2022)
Yuzhong Peng, Daoqing Gong, Chuyan Deng, Hongya Li, Hongguo Cai, Hao Zhang
An automatic hyperparameter optimization DNN model for precipitation prediction. Appl. Intell. 52 (3) (2022)
Li Cai, Haoyu Wang, Fang Jiang, Yihan Zhang, Yuzhong Peng
A new clustering mining algorithm for multi-source imbalanced location data. Inf. Sci. 584 (2022)
Yuzhong Peng, Yanmei Lin, Xiao-Yuan Jing, Hao Zhang, Yiran Huang, Guangsheng Luo
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction. IEEE Access 8 (2020)
Guangsheng Luo, Wenwei Li, Yuzhong Peng
Overview of Intelligent Online Banking System Based on HERCULES Architecture. IEEE Access 8 (2020)
Chuyan Deng, Yuzhong Peng, Hongya Li, Daoqing Gong, Hao Zhang, Zhiping Liu
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization. CoRR (2019)
Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. CoRR (2019)
Yuzhong Peng, Ziqiao Zhang, Qizhi Jiang, Jihong Guan, Shuigeng Zhou
TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning. BIBM (2019)
Yuzhong Peng, Huasheng Zhao, Hao Zhang, Wenwei Li, Xiao Qin, Jianping Liao, Zhiping Liu, Jie Li
An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Yuzhong Peng, Huasheng Zhao, Jie Li, Xiao Qin, Jianping Liao, Zhiping Liu
A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP. ELM (2018)
Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang
Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD. ICIC (1) (2018)
Guizhen Mai, Yinghan Hong, Shiguo Peng, Yuzhong Peng
Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis. IEEE Access 5 (2017)