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2020 – today
- 2024
[j36]Hui Cui
, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng:
Evolving graph convolutional network with transformer for CT segmentation. Appl. Soft Comput. 165: 112069 (2024)- [j35]Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang:
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinform. 40(2) (2024) - [j34]Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang:
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine 177: 108640 (2024) - [j33]Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang:
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. J. Chem. Inf. Model. 64(8): 3569-3578 (2024) - [j32]Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang:
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. J. Chem. Inf. Model. 64(16): 6662-6675 (2024) - [j31]Ping Xuan, Chunhong Guan, Sentao Chen, Jing Gu, Xiuju Wang, Toshiya Nakaguchi, Tiangang Zhang:
Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. J. Chem. Inf. Model. 64(19): 7806-7815 (2024) - [j30]Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi, Tiangang Zhang:
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. IEEE J. Biomed. Health Informatics 28(7): 4306-4316 (2024) - 2023
- [j29]Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh:
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Appl. Soft Comput. 133: 109905 (2023) - [j28]Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang:
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. Comput. Biol. Medicine 164: 107265 (2023) - [j27]Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan:
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. J. Chem. Inf. Model. 63(21): 6947-6958 (2023) - [j26]Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi:
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1480-1491 (2023) - 2022
- [j25]Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan:
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Briefings Bioinform. 23(1) (2022) - [j24]Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. Briefings Bioinform. 23(1) (2022) - [j23]Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. Briefings Bioinform. 23(1) (2022) - [j22]Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan:
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. Briefings Bioinform. 23(2) (2022) - [j21]Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan:
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. Briefings Bioinform. 23(2) (2022) - [j20]Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang:
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. Briefings Bioinform. 23(3) (2022) - [j19]Ping Xuan, Xiangfeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi:
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction. Briefings Bioinform. 23(3) (2022) - [j18]Ping Xuan, Meng Wang, Yong Liu, Dong Wang, Tiangang Zhang, Toshiya Nakaguchi:
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction. Briefings Bioinform. 23(3) (2022) - [j17]Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu:
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. Briefings Bioinform. 23(5) (2022) - [j16]Ping Xuan, Xiaowen Zhang, Yu Zhang, Kaimiao Hu, Toshiya Nakaguchi, Tiangang Zhang:
multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction. Briefings Bioinform. 23(5) (2022) - [j15]Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang:
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Comput. Methods Programs Biomed. 226: 107147 (2022) - [j14]Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh:
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. Knowl. Based Syst. 236: 107360 (2022) - [j13]Chang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye:
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 455-464 (2022) - [j12]Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng:
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2294-2304 (2022) - [j11]Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan:
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2963-2974 (2022) - [j10]Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. IEEE J. Biomed. Health Informatics 26(4): 1891-1902 (2022) - [j9]Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang:
Graph Triple-Attention Network for Disease-Related LncRNA Prediction. IEEE J. Biomed. Health Informatics 26(6): 2839-2849 (2022) - 2021
- [j8]Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan:
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. Briefings Bioinform. 22(3) (2021) - [j7]Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi:
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Briefings Bioinform. 22(5) (2021) - [j6]Ping Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang:
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2671-2681 (2021) - [j5]Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi:
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations. IEEE J. Biomed. Health Informatics 25(5): 1793-1804 (2021) - [c1]Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan:
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. EMBC 2021: 3078-3081 - 2020
- [j4]Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang:
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions. BMC Bioinform. 21(1): 230 (2020) - [j3]Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang:
Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1019-1031 (2020)
2010 – 2019
- 2019
- [j2]Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen:
Drug repositioning through integration of prior knowledge and projections of drugs and diseases. Bioinform. 35(20): 4108-4119 (2019) - 2018
- [j1]Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang:
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. Bioinform. 34(2): 267-277 (2018)
Coauthor Index
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