Heming Zhang

Orcid: 0000-0002-2025-9090

Affiliations:

Washington University in St. Louis, Institute for Informatics, Data Science and Biostatistics, St. Louis, MO, USA

According to our database¹, Heming Zhang authored at least 9 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

BioMedGraphica: an all-in-one platform for joint textual biomedical prior knowledge and numeric graph generation.

[BibT_eX]

[DOI]

S. Peter Goedegebuure

Bioinform., 2026

2025

GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine.

[BibT_eX]

[DOI]

CoRR, September, 2025

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling.

[BibT_eX]

[DOI]

CoRR, April, 2025

KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, March, 2025

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2021

Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways.

[BibT_eX]

[DOI]

Heming Zhang

Yixin Chen

Fuhai Li

Frontiers Bioinform., 2021

Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model.

[BibT_eX]

[DOI]

Jiarui Feng

Heming Zhang

Fuhai Li

BMC Bioinform., 2021

2020

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2020, 2020

Heming Zhang

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Bibliography

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