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Boya Ji
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2020 – today
- 2024
- [j10]Boya Ji, Haitao Zou, Liwen Xu, Xiaolan Xie, Shaoliang Peng
:
MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction. Briefings Bioinform. 25(3) (2024) - [j9]Liang Bai, Boya Ji, Shulin Wang:
SAE-Impute: imputation for single-cell data via subspace regression and auto-encoders. BMC Bioinform. 25(1): 317 (2024) - [j8]Ji-Ren Zhou, Boya Ji, Rui Niu, Xuequn Shang, Zhuhong You:
A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions. Knowl. Based Syst. 304: 112549 (2024) - 2023
- [j7]Kai Zheng
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs. Briefings Bioinform. 24(1) (2023) - [j6]Xiaorui Su
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5640-5651 (2023) - [c9]Liwen Xu, Boya Ji, Yijun Peng, Wending Pi, Xiangxiang Zeng, Peng Zhao, Shaoliang Peng:
ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers. BIBM 2023: 712-717 - 2022
- [j5]Liangrui Pan
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. Biomed. Signal Process. Control. 77: 103824 (2022) - [j4]Liangrui Pan
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images. Health Inf. Sci. Syst. 10(1): 4 (2022) - [c8]Weiming Xiang, Yingbo Cui
MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing. BIBM 2022: 293-296 - [i1]Liangrui Pan, Hetian Wang, Lian Wang, Boya Ji, Mingting Liu, Mitchai Chongcheawchamnan, Yuan Jin, Shaoliang Peng:
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma. CoRR abs/2204.13838 (2022) - 2021
- [j3]Xiao-Rui Su, Zhuhong You, Lei Wang
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - [c7]Boya Ji, Jiawei Luo, Liangrui Pan
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM 2021: 406-411 - [c6]Liangrui Pan
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM 2021: 1032-1036 - [c5]Bo-Ya Ji, Zhu-Hong You, Lei Wang, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao:
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting. ICIC (3) 2021: 49-56 - [c4]Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. ICIC (3) 2021: 580-590 - 2020
- [j2]Bo-Ya Ji
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinform. 21(1): 401 (2020) - [c3]Kai Zheng, Zhu-Hong You, Lei Wang, Hao-Yuan Li, Bo-Ya Ji
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest. ICIC (2) 2020: 227-238 - [c2]Han-Jing Jiang, Zhu-Hong You, Lun Hu, Zhen-Hao Guo, Bo-Ya Ji
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. ICIC (3) 2020: 271-279 - [c1]Bo-Ya Ji
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. ICIC (3) 2020: 400-407
2010 – 2019
- 2018
- [j1]Boya Ji, Yuming Liu, Zhanyong Jin:
An evaluation of the design and construction of energy management platform for public buildings based on WSR system approach. Kybernetes 47(8): 1549-1568 (2018)
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