Liang Zhang

Orcid: 0000-0002-5055-1527

Affiliations:

Dongbei University of Finance and Economics, International Bussiness College, Dalian, China

According to our database¹, Liang Zhang authored at least 22 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Rethinking Priority Scheduling for Sequential Multi-Agent Decision Making in Stackelberg Games.

[BibT_eX]

[DOI]

CoRR, May, 2026

ScaleGraph: A scalable self-supervised framework for cross-domain zero-shot graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Multi-Condition Latent Diffusion Network for Semantic-aware Knowledge Graph Completion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2026

Hierarchical prototype-guided representation learning for robust graph classification.

[BibT_eX]

[DOI]

Inf. Sci., 2026

2025

Self-Supervised Disentangled Representation Learning for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Internet Things J., October, 2025

Divide and Conquer: The First Step Towards Adaptable Internet of Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

2024

Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Sensors, July, 2024

2023

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

[BibT_eX]

[DOI]

Inf. Sci., July, 2023

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

[BibT_eX]

[DOI]

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

Predicting Drug-Target Interaction Via Self-Supervised Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Adaptive Bayesian Meta-Learning for EEG Signal Classification.

[BibT_eX]

[DOI]

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

2022

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

2021

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

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2021

MeSIN: Multilevel selective and interactive network for medication recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2020

Fast Sparse Connectivity Network Adaption via Meta-Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Liang Zhang

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