Chenglong Bao

According to our database, Chenglong Bao authored at least 45 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jintao Xu, Chenglong Bao, Wenxun Xing

Optim. Lett., May, 2024

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

Chenglong Bao, Chang Chen, Kai Jiang, Lingyun Qiu

SIAM J. Numer. Anal., February, 2024

Diffusion Mechanism in Residual Neural Network: Theory and Applications.

Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi

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

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

Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao

CoRR, 2024

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

Tangjun Wang, Chenglong Bao, Zuoqiang Shi

CoRR, 2024

2023

Robust Full Waveform Inversion: A Source Wavelet Manipulation Perspective.

Chenglong Bao, Lingyun Qiu, Rongqian Wang

SIAM J. Sci. Comput., December, 2023

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

Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi

SIAM J. Sci. Comput., August, 2023

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

Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao

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

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

Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu

Math. Program., 2023

Reconstruction of dynamical systems from data without time labels.

Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi

CoRR, 2023

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

Hui Zhang, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao

CoRR, 2023

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

Chenglong Bao, Liang Chen, Jiahong Li

CoRR, 2023

Convergence Analysis for Restarted Anderson Mixing and Beyond.

Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

CoRR, 2023

2022

Self-Distillation: Towards Efficient and Compact Neural Networks.

Linfeng Zhang, Chenglong Bao, Kaisheng Ma

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

Semi-Supervised Clustering via Dynamic Graph Structure Learning.

Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi

CoRR, 2022

Unsupervised Deep Learning Meets Chan-Vese Model.

Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma

CoRR, 2022

A Variant of Anderson Mixing with Minimal Memory Size.

Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

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.

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.

Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi

CoRR, 2021

Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection.

Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang

CoRR, 2021

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.

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.

Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong

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.

Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

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

2020

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

Kai Jiang, Wei Si, Chang Chen, Chenglong Bao

SIAM J. Sci. Comput., 2020

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

Chang Chen, Kai Jiang, Chenglong Bao

CoRR, 2020

Task-Oriented Feature Distillation.

Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

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.

Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

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

Auxiliary Training: Towards Accurate and Robust Models.

Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma

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

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

Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma

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

2019

Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal.

Chenglong Bao, Jae Kyu Choi, Bin Dong

SIAM J. Imaging Sci., 2019

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

Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji

Pattern Recognit. Lett., 2019

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

Kai Jiang, Wei Si, Chenglong Bao

CoRR, 2019

Brain-inspired reverse adversarial examples.

Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma

CoRR, 2019

Wasserstein-Fisher-Rao Document Distance.

Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao

CoRR, 2019

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

Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma

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.

Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma

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

2018

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

Jae Kyu Choi, Chenglong Bao, Xiaoqun Zhang

SIAM J. Imaging Sci., 2018

Coherence Retrieval Using Trace Regularization.

Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, Zhengyun Zhang

SIAM J. Imaging Sci., 2018

2016

Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis.

Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen

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

Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis.

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.

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.

Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen

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

2013

Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration.

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.

Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji

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