Bin Dong

Orcid: 0000-0003-1295-3362

Affiliations:
  • Peking University, Beijing International Center for Mathematical Research, China
  • Peking University, Center for Data Science, Beijing, China


According to our database1, Bin Dong authored at least 88 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems.
Signal Process., 2024

Solving the Boltzmann Equation with a Neural Sparse Representation.
SIAM J. Sci. Comput., 2024

PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images.
CoRR, 2024

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations.
CoRR, 2024

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.
CoRR, 2024

Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Semantic Search Engine for Mathlib4.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport.
SIAM J. Sci. Comput., August, 2023

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review.
CoRR, 2023

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators.
CoRR, 2023

Analysis of the Decoder Width for Parametric Partial Differential Equations.
CoRR, 2023

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans.
CoRR, 2023

A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection.
CoRR, 2023

Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations.
CoRR, 2023

Diffusion Model for Generative Image Denoising.
CoRR, 2023

Unsupervised Image Denoising with Score Function.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Introduction to Data Science
WorldScientific, ISBN: 9789811263910, 2023

2022
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer.
CoRR, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Attention for Medical Image Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.
IEEE Trans. Medical Imaging, 2021

Approximation from Noisy Data.
SIAM J. Numer. Anal., 2021

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks.
CoRR, 2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR, 2021

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training.
CoRR, 2021

Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation.
CoRR, 2021

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CURE: Curvature Regularization for Missing Data Recovery.
SIAM J. Imaging Sci., 2020

Transferred Discrepancy: Quantifying the Difference Between Representations.
CoRR, 2020

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging.
CoRR, 2020

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data.
CoRR, 2020

Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling.
CoRR, 2020

Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM.
IEEE Access, 2020

Deep Active Contour Network for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.
IEEE Trans. Medical Imaging, 2019

Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal.
SIAM J. Imaging Sci., 2019

XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.
Medical Image Anal., 2019

PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network.
J. Comput. Phys., 2019

Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network.
CoRR, 2019

A Review on Deep Learning in Medical Image Reconstruction.
CoRR, 2019

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.
CoRR, 2019

Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning.
CoRR, 2019

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration.
Proceedings of the 7th International Conference on Learning Representations, 2019

JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction.
SIAM J. Imaging Sci., 2018

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space.
Frontiers Neuroinformatics, 2018

A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography.
IEEE Access, 2018

End-to-End Lung Nodule Detection in Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations.
Proceedings of the 35th International Conference on Machine Learning, 2018

PDE-Net: Learning PDEs from Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis.
SIAM J. Math. Anal., 2017

Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond.
Multiscale Model. Simul., 2017

End-to-End Abnormality Detection in Medical Imaging.
CoRR, 2017

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

q-Space Upsampling Using x-q Space Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation.
SIAM J. Imaging Sci., 2016

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2013
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment.
SIAM J. Sci. Comput., 2013

ℓ<sub>0</sub> Minimization for wavelet frame based image restoration.
Math. Comput., 2013

An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration.
J. Sci. Comput., 2013

X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting.
J. Sci. Comput., 2013

2012
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms.
Comput. Methods Programs Biomed., 2012

Multigrid Narrow Band Surface Reconstruction via Level Set Functions.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

2011
Wavelet frame based surface reconstruction from unorganized points.
J. Comput. Phys., 2011

Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
CoRR, 2011

2010
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery.
SIAM J. Sci. Comput., 2010

A Nonlinear PDE-Based Method for Sparse Deconvolution.
Multiscale Model. Simul., 2010

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Wavelet-Based Representation of Biological Shapes.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2008
Level Set Based Nonlocal Surface Restoration.
Multiscale Model. Simul., 2008

Level Set Based Surface Capturing in 3D Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2006
Construction of biorthogonal wavelets from pseudo-splines.
J. Approx. Theory, 2006


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