Liang Zhang

According to our database, Liang Zhang authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction.

Peiliang Zhang, Jiatao Chen, Chao Che, Liang Zhang, Bo Jin, Yongjun Zhu

Inf. Sci., July, 2023

Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis.

Xu Zhang, Yaming Wang, Liang Zhang, Bo Jin, Hongzhe Zhang

Int. J. Data Sci. Anal., March, 2023

Predicting Drug-Target Interaction Via Self-Supervised Learning.

Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che

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

A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification.

Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Adaptive Bayesian Meta-Learning for EEG Signal Classification.

Xin Guo, Jianping Zhu, Liang Zhang, Bo Jin, Xiaopeng Wei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.

Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei

IEEE Trans. Knowl. Data Eng., 2022

2021

Enriching limited information on rare diseases from heterogeneous networks for drug repositioning.

Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei, Chao Che

BMC Medical Informatics Decis. Mak., 2021

MeSIN: Multilevel selective and interactive network for medication recommendation.

Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei

Knowl. Based Syst., 2021

A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning.

Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.

Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei, Bo Jin

BMC Medical Informatics Decis. Mak., 2020

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.

Yang An, Yakun Mao, Liang Zhang, Bo Jin, Keli Xiao, Xiaopeng Wei, Jun Yan

J. Biomed. Informatics, 2020

Fast Sparse Connectivity Network Adaption via Meta-Learning.

Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.

Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction.

Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che, Yiwei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.

Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin

Proceedings of the IEEE International Conference on Data Mining, 2018