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2020 – today
- 2024
[j14]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): 8592-8611 (2024)- [j13]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): 110965 (2024) - [j12]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) - [j11]Shaofan Chen, Yuzhong Peng, Guoyuan He, Hao Zhang, Li Cai, Chengdong Wei:
CDSC: Causal decomposition based on spectral clustering. Inf. Sci. 657: 119985 (2024) - [j10]Mingjie Chen, Hongcheng Wang, Ruxin Wang, Yuzhong Peng, Hao Zhang:
CDRM: Causal disentangled representation learning for missing data. Knowl. Based Syst. 299: 112079 (2024) - 2023
- [j9]Abdur Rehman, Israr Fatima, Yinuo Wang, Jiapei Tong, Fatima Noor, Muhammad Qasim, Yuzhong Peng, Mingzhi Liao:
Unveiling the multi-target compounds of Rhazya stricta: Discovery and inhibition of novel target genes for the treatment of clear cell renal cell carcinoma. Comput. Biol. Medicine 165: 107424 (2023) - [j8]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): 105621 (2023) - [j7]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): 82 (2023) - [c6]Yuzhong Peng, Hao Zhang, Ziqiao Zhang, Yanmei Lin, Shuigeng Zhou, Shaojie Qiao:
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction*. BIBM 2023: 432-435 - [c5]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: 113-123 - [c4]Hongliang Zhou, Yanmei Lin, Nan Chen, Yuzhong Peng:
Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Method. ICAI (1) 2023: 124-135 - 2022
- [j6]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): 2703-2719 (2022) - [j5]Li Cai, Haoyu Wang, Fang Jiang, Yihan Zhang, Yuzhong Peng:
A new clustering mining algorithm for multi-source imbalanced location data. Inf. Sci. 584: 50-64 (2022) - 2020
- [j4]Guangsheng Luo, Wenwei Li, Yuzhong Peng:
Overview of Intelligent Online Banking System Based on HERCULES Architecture. IEEE Access 8: 107685-107699 (2020) - [j3]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: 168344-168360 (2020)
2010 – 2019
- 2019
- [j2]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): 1512-1525 (2019) - [c3]Yuzhong Peng, Ziqiao Zhang, Qizhi Jiang, Jihong Guan, Shuigeng Zhou:
TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning. BIBM 2019: 318-325 - [i2]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 abs/1906.08851 (2019) - [i1]Hongya Li, Yuzhong Peng, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang:
A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. CoRR abs/1906.08852 (2019) - 2018
- [c2]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: 328-335 - [c1]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: 207-218 - 2017
- [j1]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: 20009-20019 (2017)
Coauthor Index
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