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ORCIDBoya Ji
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 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, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Bo-Ya Ji, Xiao Liang, Zheng-Wei Li:
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, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao:
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5640-5651 (2023) - 2022
- [j5]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. Biomed. Signal Process. Control. 77: 103824 (2022) - [j4]Liangrui Pan, Boya Ji, Hetian Wang, Lian Wang, Mingting Liu, Mitchai Chongcheawchamnan, Shaoliang Peng:
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images. Health Inf. Sci. Syst. 10(1): 4 (2022) - 2021
- [j3]Xiao-Rui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao:
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - 2020
- [j2]Bo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi:
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinform. 21(1): 401 (2020) - 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)
Conference and Workshop Papers
- 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
- [c8]Weiming Xiang, Yingbo Cui, Yaning Yang, Ang Zhang, Boya Ji, Shaoliang Peng:
MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing. BIBM 2022: 293-296 - 2021
- [c7]Boya Ji, Jiawei Luo, Liangrui Pan, Xiaolan Xie, Shaoliang Peng:
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning. BIBM 2021: 406-411 - [c6]Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
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
- [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, Leon Wong:
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. ICIC (3) 2020: 271-279 - [c1]Bo-Ya Ji, Zhu-Hong You, Long Yang, Ji-Ren Zhou, Pengwei Hu:
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions. ICIC (3) 2020: 400-407
Informal and Other Publications
- 2022
- [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)
Coauthor Index
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