Zehao Dong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Disease Diagnosis

Graph Representation

Design Automation

Top Venues

Publications

Zehao Dong, Yixin Chen, Hiram Gay, Yao Hao, Geoffrey D. Hugo, Pamela Samson, Tianyu Zhao
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy. CoRR (2024)
Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR (2024)
Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR (2024)
Zehao Dong, Yixin Chen, Tianyu Zhao
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks. CoRR (2024)
Zehao Dong, Muhan Zhang, Yixin Chen
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling. CoRR (2024)
Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher R. King
Time Associated Meta Learning for Clinical Prediction. CoRR (2023)
Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. CoRR (2023)
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR (2023)
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. CoRR (2023)
Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. ICCD (2023)
Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR (2023)
Zehao Dong, Yuehui Chen, Yi Cao, Yaou Zhao
FRVidSwin:A Novel Video Captioning Model with Automatical Removal of Redundant Frames. ICIC (5) (2023)
Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR (2022)
Zehao Dong, Yixin Chen, Philip R. O. Payne, Fuhai Li
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling. CoRR (2022)
Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML (2022)
Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho
Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. AAMAS (2021)
Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. CoRR (2021)