Chenglong Bao

Orcid: 0000-0002-1201-1212

According to our database¹, Chenglong Bao authored at least 49 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Convergence rates of training deep neural networks via alternating minimization methods.

[BibT_eX]

[DOI]

Jintao Xu

Chenglong Bao

Wenxun Xing

Optim. Lett., May, 2024

Convergence Analysis for Bregman Iterations in Minimizing a Class of Landau Free Energy Functionals.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., February, 2024

Diffusion Mechanism in Residual Neural Network: Theory and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2024

Averaging Orientations with Molecular Symmetry in Cryo-EM.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2024

Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2024

Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning.

[BibT_eX]

[DOI]

Tangjun Wang

Chenglong Bao

Zuoqiang Shi

CoRR, 2024

Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks.

[BibT_eX]

[DOI]

Tangjun Wang

Chenglong Bao

Zuoqiang Shi

CoRR, 2024

SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Robust Full Waveform Inversion: A Source Wavelet Manipulation Perspective.

[BibT_eX]

[DOI]

Chenglong Bao

Lingyun Qiu

Rongqian Wang

SIAM J. Sci. Comput., December, 2023

A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., August, 2023

Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds.

[BibT_eX]

[DOI]

Math. Program., 2023

Reconstruction of dynamical systems from data without time labels.

[BibT_eX]

[DOI]

CoRR, 2023

Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles.

[BibT_eX]

[DOI]

CoRR, 2023

The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter.

[BibT_eX]

[DOI]

Chenglong Bao

Liang Chen

Jiahong Li

CoRR, 2023

Convergence Analysis for Restarted Anderson Mixing and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Self-Distillation: Towards Efficient and Compact Neural Networks.

[BibT_eX]

[DOI]

Linfeng Zhang

Chenglong Bao

Kaisheng Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semi-Supervised Clustering via Dynamic Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Deep Learning Meets Chan-Vese Model.

[BibT_eX]

[DOI]

CoRR, 2022

A Variant of Anderson Mixing with Minimal Memory Size.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications.

[BibT_eX]

[DOI]

Fuchao Wei

Chenglong Bao

Yang Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Diff-ResNets for Few-shot Learning - an ODE Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.

[BibT_eX]

[DOI]

Fuchao Wei

Chenglong Bao

Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

An Unsupervised Deep Learning Approach for Real-World Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Efficient Numerical Methods for Computing the Stationary States of Phase Field Crystal Models.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

An accelerated method for computing stationary states of multicomponent phase field crystal model.

[BibT_eX]

[DOI]

Chang Chen

Kai Jiang

Chenglong Bao

CoRR, 2020

Task-Oriented Feature Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpolation between Residual and Non-Residual Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Auxiliary Training: Towards Accurate and Robust Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal.

[BibT_eX]

[DOI]

Chenglong Bao

Jae Kyu Choi

Bin Dong

SIAM J. Imaging Sci., 2019

Barzilai-Borwein-based adaptive learning rate for deep learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

An efficient method for computing stationary states of phase field crystal models.

[BibT_eX]

[DOI]

Kai Jiang

Wei Si

Chenglong Bao

CoRR, 2019

Brain-inspired reverse adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2019

Wasserstein-Fisher-Rao Document Distance.

[BibT_eX]

[DOI]

CoRR, 2019

SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization.

[BibT_eX]

[DOI]

Jae Kyu Choi

Chenglong Bao

Xiaoqun Zhang

SIAM J. Imaging Sci., 2018

Coherence Retrieval Using Trace Regularization.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2018

2016

Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis.

[BibT_eX]

[DOI]

Yuhui Quan

Chenglong Bao

Hui Ji

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding.

[BibT_eX]

[DOI]

Chenglong Bao

Yuhui Quan

Hui Ji

Proceedings of the Computer Vision - ECCV 2014, 2014

L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration.

[BibT_eX]

[DOI]

Chenglong Bao

Jian-Feng Cai

Hui Ji

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Real time robust L1 tracker using accelerated proximal gradient approach.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Chenglong Bao

Timeline

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On csauthors.net:

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