Zehao Dong

According to our database, Zehao Dong authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling.

Zehao Dong, Muhan Zhang, Yixin Chen

CoRR, 2024

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.

Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li

CoRR, 2024

Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy.

Zehao Dong, Yixin Chen, Hiram Gay, Yao Hao, Geoffrey D. Hugo, Pamela Samson, Tianyu Zhao

CoRR, 2024

DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks.

Zehao Dong, Yixin Chen, Tianyu Zhao

CoRR, 2024

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability.

Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.

Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li

CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.

Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King

CoRR, 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation.

Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FRVidSwin:A Novel Video Captioning Model with Automatical Removal of Redundant Frames.

Zehao Dong, Yuehui Chen, Yi Cao, Yaou Zhao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis.

Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling.

Zehao Dong, Yixin Chen, Philip R. O. Payne, Fuhai Li

CoRR, 2022

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs.

Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen

Proceedings of the International Conference on Machine Learning, 2022

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

Efficient Nonmyopic Online Allocation of Scarce Reusable Resources.

Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021