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Chenglong Bao
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2020 – today
- 2024
- [j16]Jintao Xu
, Chenglong Bao, Wenxun Xing:
Convergence rates of training deep neural networks via alternating minimization methods. Optim. Lett. 18(4): 909-923 (2024) - [j15]Tangjun Wang
Diffusion Mechanism in Residual Neural Network: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 667-680 (2024) - [j14]Dihan Zheng
PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy. SIAM J. Imaging Sci. 17(3): 1511-1538 (2024) - [j13]Qi Zhang, Chenglong Bao, Hai Lin, Mingxu Hu:
Averaging Orientations with Molecular Symmetry in Cryo-EM. SIAM J. Imaging Sci. 17(4): 2174-2195 (2024) - [j12]Chenglong Bao
Convergence Analysis for Bregman Iterations in Minimizing a Class of Landau Free Energy Functionals. SIAM J. Numer. Anal. 62(1): 476-499 (2024) - [c18]Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao:
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder. CVPR 2024: 25889-25899 - [i27]Tangjun Wang, Chenglong Bao, Zuoqiang Shi:
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks. CoRR abs/2403.15726 (2024) - [i26]Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao:
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder. CoRR abs/2403.17502 (2024) - [i25]Tangjun Wang, Chenglong Bao, Zuoqiang Shi:
Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning. CoRR abs/2408.05419 (2024) - [i24]Huaming Ling, Chenglong Bao, Jiebo Song, Zuoqiang Shi:
Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering. CoRR abs/2408.05707 (2024) - 2023
- [j11]Yuhao Zhou, Chenglong Bao
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds. Math. Program. 201(1): 1-61 (2023) - [j10]Dihan Zheng
Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5889-5903 (2023) - [j9]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): 544- (2023) - [j8]Chenglong Bao
Robust Full Waveform Inversion: A Source Wavelet Manipulation Perspective. SIAM J. Sci. Comput. 45(6): 753-775 (2023) - [i23]Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang:
Convergence Analysis for Restarted Anderson Mixing and Beyond. CoRR abs/2307.02062 (2023) - [i22]Chenglong Bao, Liang Chen, Jiahong Li:
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter. CoRR abs/2308.14080 (2023) - [i21]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 abs/2309.14954 (2023) - [i20]Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi:
Reconstruction of dynamical systems from data without time labels. CoRR abs/2312.04038 (2023) - 2022
- [j7]Linfeng Zhang
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4388-4403 (2022) - [c17]Fuchao Wei, Chenglong Bao, Yang Liu:
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. ICLR 2022 - [c16]Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang:
A Variant of Anderson Mixing with Minimal Memory Size. NeurIPS 2022 - [i19]Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma:
Unsupervised Deep Learning Meets Chan-Vese Model. CoRR abs/2204.06951 (2022) - [i18]Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao:
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR abs/2204.10090 (2022) - [i17]Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR abs/2205.07521 (2022) - [i16]Jintao Xu, Chenglong Bao, Wenxun Xing:
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods. CoRR abs/2208.14318 (2022) - [i15]Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi:
Semi-Supervised Clustering via Dynamic Graph Structure Learning. CoRR abs/2209.02513 (2022) - 2021
- [c15]Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma
An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR 2021 - [c14]Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN 2021: 1-8 - [c13]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: 22379-22391 - [c12]Fuchao Wei, Chenglong Bao, Yang Liu:
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. NeurIPS 2021: 22995-23008 - [i14]Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang:
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. CoRR abs/2102.04586 (2021) - [i13]Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi:
Diff-ResNets for Few-shot Learning - an ODE Perspective. CoRR abs/2105.03155 (2021) - [i12]Fuchao Wei, Chenglong Bao, Yang Liu:
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. CoRR abs/2110.01543 (2021) - [i11]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 abs/2110.12187 (2021) - 2020
- [j6]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): B1350-B1377 (2020) - [c11]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c10]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: 13733-13742 - [c9]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. ICML 2020: 10736-10745 - [c8]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma
Task-Oriented Feature Distillation. NeurIPS 2020 - [i10]Kai Jiang, Wei Si, Chang Chen, Chenglong Bao:
Efficient numerical methods for computing the stationary states of phase field crystal models. CoRR abs/2002.09898 (2020) - [i9]Chang Chen, Kai Jiang, Chenglong Bao:
An accelerated method for computing stationary states of multicomponent phase field crystal model. CoRR abs/2005.12604 (2020) - [i8]Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi:
Interpolation between Residual and Non-Residual Networks. CoRR abs/2006.05749 (2020)
2010 – 2019
- 2019
- [j5]Jinxiu Liang
Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. 128: 197-203 (2019) - [j4]Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. 12(1): 492-520 (2019) - [c7]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: 3712-3721 - [c6]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: 4029-4038 - [i7]Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao:
Wasserstein-Fisher-Rao Document Distance. CoRR abs/1904.10294 (2019) - [i6]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 abs/1905.08094 (2019) - [i5]Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma:
Brain-inspired reverse adversarial examples. CoRR abs/1905.12171 (2019) - [i4]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR abs/1906.03951 (2019) - [i3]Kai Jiang, Wei Si, Chenglong Bao:
An efficient method for computing stationary states of phase field crystal models. CoRR abs/1909.00305 (2019) - [i2]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 abs/1911.12796 (2019) - 2018
- [j3]Chenglong Bao, George Barbastathis, Hui Ji
Coherence Retrieval Using Trace Regularization. SIAM J. Imaging Sci. 11(1): 679-706 (2018) - [j2]Jae Kyu Choi
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM J. Imaging Sci. 11(2): 1179-1204 (2018) - [i1]Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR abs/1805.12521 (2018) - 2016
- [j1]Chenglong Bao, Hui Ji
Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1356-1369 (2016) - [c5]Yuhui Quan, Chenglong Bao, Hui Ji
Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis. CVPR 2016: 308-316 - 2014
- [c4]Chenglong Bao, Hui Ji
L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence. CVPR 2014: 3858-3865 - [c3]Chenglong Bao, Yuhui Quan, Hui Ji
A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding. ECCV (6) 2014: 302-316 - 2013
- [c2]Chenglong Bao, Jian-Feng Cai
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration. ICCV 2013: 3384-3391 - 2012
- [c1]Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji
Real time robust L1 tracker using accelerated proximal gradient approach. CVPR 2012: 1830-1837
Coauthor Index
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last updated on 2024-12-03 21:18 CET by the dblp team
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