Tiangang Zhang

According to our database, Tiangang Zhang authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.

Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang

Bioinform., February, 2024

2023

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.

Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan

J. Chem. Inf. Model., November, 2023

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.

Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang

Comput. Biol. Medicine, September, 2023

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.

Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh

Appl. Soft Comput., January, 2023

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.

Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

Graph Triple-Attention Network for Disease-Related LncRNA Prediction.

Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang

IEEE J. Biomed. Health Informatics, 2022

Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction.

Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi

IEEE J. Biomed. Health Informatics, 2022

Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network.

Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions.

Chang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.

Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes.

Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh

Knowl. Based Syst., 2022

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.

Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang

Comput. Methods Programs Biomed., 2022

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.

Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan

Briefings Bioinform., 2022

multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.

Ping Xuan, Xiaowen Zhang, Yu Zhang, Kaimiao Hu, Toshiya Nakaguchi, Tiangang Zhang

Briefings Bioinform., 2022

Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction.

Ping Xuan, Meng Wang, Yong Liu, Dong Wang, Tiangang Zhang, Toshiya Nakaguchi

Briefings Bioinform., 2022

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.

Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu

Briefings Bioinform., 2022

Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.

Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi

Briefings Bioinform., 2022

Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.

Ping Xuan, Xiangfeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi

Briefings Bioinform., 2022

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.

Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang

Briefings Bioinform., 2022

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.

Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi

Briefings Bioinform., 2022

ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.

Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan

Briefings Bioinform., 2022

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.

Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan

Briefings Bioinform., 2022

2021

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.

Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi

IEEE J. Biomed. Health Informatics, 2021

Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning.

Ping Xuan, Bingxu Chen, Tiangang Zhang, Yan Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.

Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi

Briefings Bioinform., 2021

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.

Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan

Briefings Bioinform., 2021

Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation.

Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes.

Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.

Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang

BMC Bioinform., 2020

2019

Drug repositioning through integration of prior knowledge and projections of drugs and diseases.

Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen

Bioinform., 2019

2018

A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.

Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang

Bioinform., 2018