Chunhao Wang
Orcid: 0000-0002-9983-5774
According to our database1,
Chunhao Wang
authored at least 34 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
IEEE Trans. Cloud Comput., 2023
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions.
CoRR, 2023
Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023
2022
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning.
J. ACM, 2022
Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis.
Neurocomputing, 2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection.
CoRR, 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation.
CoRR, 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
ACM Trans. Graph., 2021
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Quantum Inf. Comput., 2020
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.
Frontiers Artif. Intell., 2020
Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020
Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension.
Proceedings of the 31st International Symposium on Algorithms and Computation, 2020
Proceedings of the 35th Computational Complexity Conference, 2020
2019
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches.
CoRR, 2019
2018
CoRR, 2018
2017
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017
2016
2012
Future Gener. Comput. Syst., 2012
2011
Computational Study on Bidimensionality Theory Based Algorithm for Longest Path Problem.
Proceedings of the Algorithms and Computation - 22nd International Symposium, 2011
2010
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010