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Conference and Workshop Papers
- 2024
[c6]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- 2023
- [c5]Chenfeng Zhao
, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain:
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. ICCD 2023: 574-577 - [c4]Zehao Dong, Yuehui Chen, Yi Cao, Yaou Zhao:
FRVidSwin:A Novel Video Captioning Model with Automatical Removal of Redundant Frames. ICIC (5) 2023: 51-62 - [c3]Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang:
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR 2023 - 2022
- [c2]Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen:
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML 2022: 5360-5377 - 2021
- [c1]Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho:
Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. AAMAS 2021: 447-455
Informal and Other Publications
- 2024
- [i11]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 abs/2402.01076 (2024) - [i10]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 abs/2402.07167 (2024) - [i9]Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li:
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR abs/2402.07268 (2024) - [i8]Zehao Dong, Muhan Zhang, Yixin Chen:
SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling. CoRR abs/2404.13655 (2024) - 2023
- [i7]Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King:
Time Associated Meta Learning for Clinical Prediction. CoRR abs/2303.02570 (2023) - [i6]Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang:
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. CoRR abs/2308.16406 (2023) - [i5]Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li:
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR abs/2309.00738 (2023) - [i4]Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain:
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. CoRR abs/2309.16022 (2023) - 2022
- [i3]Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen:
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR abs/2203.10304 (2022) - [i2]Zehao Dong, Yixin Chen, Philip R. O. Payne, Fuhai Li:
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling. CoRR abs/2209.09245 (2022) - 2021
- [i1]Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li:
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. CoRR abs/2105.07082 (2021)
Coauthor Index
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