Xiangzheng Fu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Attention Mechanism

Negative Matrix Factorization

Secondary Structure

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

Publications

Rui Wang, Zhecheng Zhou, Xiaonan Wu, Xin Jiang, Linlin Zhuo, Mingzhe Liu, Hao Li, Xiangzheng Fu, Xiaojun Yao
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. J. Chem. Inf. Model. 64 (7) (2024)
Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR (2024)
Huiying Liu, Xiangzheng Fu, Haiting Chen, Jun Shang, Haoyu Zhou, Wang Zhe, Xiaojun Yao
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders. Future Gener. Comput. Syst. 160 (2024)
Yinyin Gong, Rui Li, Yan Liu, Jilong Wang, Buwen Cao, Xiangzheng Fu, Renfa Li, Danny Z. Chen
MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism. Comput. Biol. Medicine 176 (2024)
Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Jinhang Wei, Zhen Li, Linlin Zhuo, Xiangzheng Fu, Mingjing Wang, Keqin Li, Chengshui Chen
Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning. Comput. Biol. Medicine 171 (2024)
Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou
Multi-source data integration for explainable miRNA-driven drug discovery. Future Gener. Comput. Syst. 160 (2024)
Xinqian Ma, Zhen Li, Zhenya Du, Yan Xu, Yifan Chen, Linlin Zhuo, Xiangzheng Fu, Ruijun Liu
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction. Comput. Biol. Medicine 174 (2024)
Tao Wang, Wentao Wang, Xin Jiang, Jiaxing Mao, Linlin Zhuo, Mingzhe Liu, Xiangzheng Fu, Xiaojun Yao
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph. J. Chem. Inf. Model. 64 (7) (2024)
Xia Chen, Hao Nie, Quanwei Chen, Xiang Zhang, Zixing He, Xiuxiu Chao, Weihao Ou, Xiangzheng Fu, Haowen Chen
A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder. ISBRA (1) (2024)
Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. CoRR (2024)
Wei Liu, Ting Tang, Xu Lu, Xiangzheng Fu, Yu Yang, Li Peng
MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning. Briefings Bioinform. 24 (4) (2023)
Wei Liu, Yu Yang, Xu Lu, Xiangzheng Fu, Ruiqing Sun, Li Yang, Li Peng
NSRGRN: a network structure refinement method for gene regulatory network inference. Briefings Bioinform. 24 (3) (2023)
Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xinze Lian, Xiaojun Yao, Xiangzheng Fu
HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions. Comput. Biol. Medicine 157 (2023)
Zhecheng Zhou, Zhenya Du, Jinhang Wei, Linlin Zhuo, Shiyao Pan, Xiangzheng Fu, Xinze Lian
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism. Comput. Biol. Medicine 163 (2023)
Jinhang Wei, Linlin Zhuo, Zhecheng Zhou, Xinze Lian, Xiangzheng Fu, Xiaojun Yao
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning. Briefings Bioinform. 24 (4) (2023)
Li Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu, Wei Liu
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation. Briefings Bioinform. 23 (5) (2022)
Li Peng, Yuan Tu, Li Huang, Yang Li, Xiangzheng Fu, Xiang Chen
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder. Briefings Bioinform. 23 (6) (2022)
Wei Liu, Xingen Sun, Li Yang, Kaiwen Li, Yu Yang, Xiangzheng Fu
NSCGRN: a network structure control method for gene regulatory network inference. Briefings Bioinform. 23 (5) (2022)
Linlin Zhuo, Bosheng Song, Yuansheng Liu, Zejun Li, Xiangzheng Fu
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning. Briefings Bioinform. 23 (6) (2022)
Kangshun Li, Xiangzheng Fu, Feng Wang, Hassan Jalil
A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions. Concurr. Comput. Pract. Exp. 34 (6) (2022)
Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. Briefings Bioinform. 22 (4) (2021)
Cheng Yang, Li Peng, Wei Liu, Xiangzheng Fu, Ni Li
Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction. ICA3PP (3) (2021)
Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao, Xiangxiang Zeng
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor. Bioinform. 37 (8) (2021)
Lijun Cai, Changcheng Lu, Junlin Xu, Yajie Meng, Peng Wang, Xiangzheng Fu, Xiangxiang Zeng, Yansen Su
Drug repositioning based on the heterogeneous information fusion graph convolutional network. Briefings Bioinform. 22 (6) (2021)
Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng, Quan Zou
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency. Bioinform. 36 (10) (2020)
Xiangzheng Fu, Lixia Ke, Lijun Cai, Xiangtao Chen, Xuanbai Ren, Mingyu Gao
Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation. IEEE Access 7 (2019)
Xiangzheng Fu, Wen Zhu, Bo Liao, Lijun Cai, Lihong Peng, Jialiang Yang
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC. IEEE Access 6 (2018)