Chenglong Bao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 54

Top Topics

Efficient Method For Computing

Convergence Analysis

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Chenglong Bao, Chang Chen, Kai Jiang, Lingyun Qiu
Convergence Analysis for Bregman Iterations in Minimizing a Class of Landau Free Energy Functionals. SIAM J. Numer. Anal. 62 (1) (2024)
Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
Diffusion Mechanism in Residual Neural Network: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Jintao Xu, Chenglong Bao, Wenxun Xing
Convergence rates of training deep neural networks via alternating minimization methods. Optim. Lett. 18 (4) (2024)
Tangjun Wang, Chenglong Bao, Zuoqiang Shi
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks. CoRR (2024)
Dihan Zheng, Shiqi Tang, Roland R. Wagner, Ronny Ramlau, Chenglong Bao, Raymond H. Chan
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy. SIAM J. Imaging Sci. 17 (3) (2024)
Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder. CoRR (2024)
Tangjun Wang, Wenqi Tao, Chenglong Bao, Zuoqiang Shi
An axiomatized PDE model of deep neural networks. CoRR (2023)
Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi
Reconstruction of dynamical systems from data without time labels. CoRR (2023)
Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang
Convergence Analysis for Restarted Anderson Mixing and Beyond. CoRR (2023)
Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. SIAM J. Sci. Comput. 45 (4) (2023)
Chenglong Bao, Liang Chen, Jiahong Li
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter. CoRR (2023)
Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds. Math. Program. 201 (1) (2023)
Hui Zhang, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao
Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles. CoRR (2023)
Chenglong Bao, Lingyun Qiu, Rongqian Wang
Robust Full Waveform Inversion: A Source Wavelet Manipulation Perspective. SIAM J. Sci. Comput. 45 (6) (2023)
Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR (2022)
Linfeng Zhang, Chenglong Bao, Kaisheng Ma
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma
Unsupervised Deep Learning Meets Chan-Vese Model. CoRR (2022)
Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang
A Variant of Anderson Mixing with Minimal Memory Size. NeurIPS (2022)
Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR (2022)
Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi
Semi-Supervised Clustering via Dynamic Graph Structure Learning. CoRR (2022)
Jintao Xu, Chenglong Bao, Wenxun Xing
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods. CoRR (2022)
Fuchao Wei, Chenglong Bao, Yang Liu
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. ICLR (2022)
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
AFEC: Active Forgetting of Negative Transfer in Continual Learning. CoRR (2021)
Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR (2021)
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS (2021)
Fuchao Wei, Chenglong Bao, Yang Liu
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. NeurIPS (2021)
Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. CoRR (2021)
Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN (2021)
Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
Diff-ResNets for Few-shot Learning - an ODE Perspective. CoRR (2021)
Fuchao Wei, Chenglong Bao, Yang Liu
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. CoRR (2021)
Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
Auxiliary Training: Towards Accurate and Robust Models. CVPR (2020)
Kai Jiang, Wei Si, Chang Chen, Chenglong Bao
Efficient Numerical Methods for Computing the Stationary States of Phase Field Crystal Models. SIAM J. Sci. Comput. 42 (6) (2020)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. CoRR (2020)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR (2020)
Chang Chen, Kai Jiang, Chenglong Bao
An accelerated method for computing stationary states of multicomponent phase field crystal model. CoRR (2020)
Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
Interpolation between Residual and Non-Residual Networks. ICML (2020)
Kai Jiang, Wei Si, Chang Chen, Chenglong Bao
Efficient numerical methods for computing the stationary states of phase field crystal models. CoRR (2020)
Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Task-Oriented Feature Distillation. NeurIPS (2020)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS (2019)
Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV (2019)
Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
Brain-inspired reverse adversarial examples. CoRR (2019)
Chenglong Bao, Jae Kyu Choi, Bin Dong
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. 12 (1) (2019)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR (2019)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR (2019)
Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao
Wasserstein-Fisher-Rao Document Distance. CoRR (2019)
Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR (2019)
Kai Jiang, Wei Si, Chenglong Bao
An efficient method for computing stationary states of phase field crystal models. CoRR (2019)
Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji
Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. 128 (2019)
Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, Zhengyun Zhang
Coherence Retrieval Using Trace Regularization. SIAM J. Imaging Sci. 11 (1) (2018)
Chenglong Bao, Jae Kyu Choi, Bin Dong
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR (2018)
Jae Kyu Choi, Chenglong Bao, Xiaoqun Zhang
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM J. Imaging Sci. 11 (2) (2018)
Yuhui Quan, Chenglong Bao, Hui Ji
Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis. CVPR (2016)
Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen
Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Chenglong Bao, Yuhui Quan, Hui Ji
A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding. ECCV (6) (2014)
Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen
L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence. CVPR (2014)
Chenglong Bao, Jian-Feng Cai, Hui Ji
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration. ICCV (2013)
Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji
Real time robust L1 tracker using accelerated proximal gradient approach. CVPR (2012)