Heming Zhang

According to our database, Heming Zhang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

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

Heming Zhang, Tim Xu, Dekang Cao, Shunning Liang, Lars Schimmelpfennig, Levi Kaster, Di Huang, Carlos Cruchaga, Guangfu Li, Michael A. Province, Yixin Chen, Philip R. O. Payne, Fuhai Li

CoRR, April, 2025

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

Heming Zhang, Wenyu Li, Di Huang, Yinjie Tang, Yixin Chen, Philip R. O. Payne, Fuhai Li

CoRR, March, 2025

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

Heming Zhang, Di Huang, Yixin Chen, Fuhai Li

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.

Heming Zhang, Yixin Chen, Fuhai Li

Frontiers Bioinform., 2021

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

Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li

CoRR, 2021

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

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.

Heming Zhang, Jiarui Feng, Amanda Zeng, Philip R. O. Payne, Fuhai Li

Proceedings of the AMIA 2020, 2020