Chenglong Bao - RankMe

70 papers A* 17B 1Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Low-resolution Image Representation Through Normalizing Flows. CoRR Chenglong Bao, Tongyao Pang, Zuowei Shen, Dihan Zheng, Yihang Zou
2026	J	`jnl`	Implicit-Explicit Trust Region Method for Computing Second-Order Stationary Points of A Class of Landau Models. CoRR Chenglong Bao, Kai Deng, Kai Jiang, Juan Zhang
2025	J	`jnl`	A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees. CoRR Yuhao Zhou, Jintao Xu, Chenglong Bao, Chao Ding, Jun Zhu
2025	A*	`conf`	A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems. ICLR Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan
2025	J	`jnl`	Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Tangjun Wang, Chenglong Bao, Zuoqiang Shi
2025	J	`jnl`	Globalized Distributionally Robust Optimization with Multi Core Sets. J. Optim. Theory Appl. Yueyao Li, Chenglong Bao, Wenxun Xing
2025	J	`jnl`	On the robust isolated calmness of a class of nonsmooth optimizations on Riemannian manifolds and its applications. Comput. Optim. Appl. Chenglong Bao, Chao Ding, Yuexin Zhou
2025	J	`jnl`	Projected Sobolev Natural Gradient Descent for Neural Variational Monte Carlo Solution of the Gross-Pitaevskii Equation. CoRR Chenglong Bao, Chen Cui, Kai Jiang, Shi Shu
2025	J	`jnl`	Well-Posedness and Efficient Algorithms for Inverse Optimal Transport with Bregman Regularization. CoRR Chenglong Bao, Zanyu Li, Yunan Yang
2024	J	`jnl`	Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence. CoRR Chenglong Bao, Liang Chen, Jiahong Li, Zuowei Shen
2024	J	`jnl`	Averaging Orientations with Molecular Symmetry in Cryo-EM. SIAM J. Imaging Sci. Qi Zhang, Chenglong Bao, Hai Lin, Mingxu Hu
2024	J	`jnl`	Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks. CoRR Tangjun Wang, Chenglong Bao, Zuoqiang Shi
2024	J	`jnl`	Convergence Analysis for Bregman Iterations in Minimizing a Class of Landau Free Energy Functionals. SIAM J. Numer. Anal. Chenglong Bao, Chang Chen, Kai Jiang, Lingyun Qiu
2024	J	`jnl`	Convergence rates of training deep neural networks via alternating minimization methods. Optim. Lett. Jintao Xu, Chenglong Bao, Wenxun Xing
2024	J	`jnl`	Diffusion Mechanism in Residual Neural Network: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
2024	J	`jnl`	Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering. CoRR Huaming Ling, Chenglong Bao, Jiebo Song, Zuoqiang Shi
2024	J	`jnl`	Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning. CoRR Tangjun Wang, Chenglong Bao, Zuoqiang Shi
2024	J	`jnl`	PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy. SIAM J. Imaging Sci. Dihan Zheng, Shiqi Tang, Roland R. Wagner, Ronny Ramlau, Chenglong Bao, Raymond H. Chan
2024	A*	`conf`	SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder. CVPR Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao
2024	J	`jnl`	SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder. CoRR Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao
2023	J	`jnl`	A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. SIAM J. Sci. Comput. Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
2023	J	`jnl`	A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds. Math. Program. Yuhao Zhou, Chenglong Bao, Chao Ding, Jun Zhu
2023	J	`jnl`	Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles. CoRR Hui Zhang, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao
2023	J	`jnl`	Convergence Analysis for Restarted Anderson Mixing and Beyond. CoRR Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang
2023	J	`jnl`	Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Trans. Pattern Anal. Mach. Intell. Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
2023	J	`jnl`	Reconstruction of dynamical systems from data without time labels. CoRR Zhijun Zeng, Pipi Hu, Chenglong Bao, Yi Zhu, Zuoqiang Shi
2023	J	`jnl`	Robust Full Waveform Inversion: A Source Wavelet Manipulation Perspective. SIAM J. Sci. Comput. Chenglong Bao, Lingyun Qiu, Rongqian Wang
2022	A*	`conf`	A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. ICLR Fuchao Wei, Chenglong Bao, Yang Liu
2022	A*	`conf`	A Variant of Anderson Mixing with Minimal Memory Size. NeurIPS Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang
2022	J	`jnl`	A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
2022	J	`jnl`	Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods. CoRR Jintao Xu, Chenglong Bao, Wenxun Xing
2022	J	`jnl`	Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
2022	J	`jnl`	Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Linfeng Zhang, Chenglong Bao, Kaisheng Ma
2022	J	`jnl`	Semi-Supervised Clustering via Dynamic Graph Structure Learning. CoRR Huaming Ling, Chenglong Bao, Xin Liang, Zuoqiang Shi
2022	J	`jnl`	Unsupervised Deep Learning Meets Chan-Vese Model. CoRR Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma
2021	A*	`conf`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	J	`jnl`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. CoRR Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	A*	`conf`	An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
2021	J	`jnl`	Diff-ResNets for Few-shot Learning - an ODE Perspective. CoRR Tangjun Wang, Zehao Dou, Chenglong Bao, Zuoqiang Shi
2021	A*	`conf`	Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. NeurIPS Fuchao Wei, Chenglong Bao, Yang Liu
2021	J	`jnl`	Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. CoRR Fuchao Wei, Chenglong Bao, Yang Liu
2021	J	`jnl`	Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. CoRR Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang
2021	B	`conf`	Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
2020	J	`jnl`	An accelerated method for computing stationary states of multicomponent phase field crystal model. CoRR Chang Chen, Kai Jiang, Chenglong Bao
2020	A*	`conf`	Auxiliary Training: Towards Accurate and Robust Models. CVPR Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
2020	J	`jnl`	Efficient Numerical Methods for Computing the Stationary States of Phase Field Crystal Models. SIAM J. Sci. Comput. Kai Jiang, Wei Si, Chang Chen, Chenglong Bao
2020	J	`jnl`	Efficient numerical methods for computing the stationary states of phase field crystal models. CoRR Kai Jiang, Wei Si, Chang Chen, Chenglong Bao
2020	A*	`conf`	Interpolation between Residual and Non-Residual Networks. ICML Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
2020	J	`jnl`	Interpolation between Residual and Non-Residual Networks. CoRR Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi
2020	A*	`conf`	Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2020	A*	`conf`	Task-Oriented Feature Distillation. NeurIPS Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
2019	J	`jnl`	An efficient method for computing stationary states of phase field crystal models. CoRR Kai Jiang, Wei Si, Chenglong Bao
2019	J	`jnl`	Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji
2019	A*	`conf`	Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Brain-inspired reverse adversarial examples. CoRR Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2019	A*	`conf`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Wasserstein-Fisher-Rao Document Distance. CoRR Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao
2019	J	`jnl`	Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. Chenglong Bao, Jae Kyu Choi, Bin Dong
2018	J	`jnl`	Coherence Retrieval Using Trace Regularization. SIAM J. Imaging Sci. Chenglong Bao, George Barbastathis, Hui Ji, Zuowei Shen, Zhengyun Zhang
2018	J	`jnl`	PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization. SIAM J. Imaging Sci. Jae Kyu Choi, Chenglong Bao, Xiaoqun Zhang
2018	J	`jnl`	Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR Chenglong Bao, Jae Kyu Choi, Bin Dong
2016	J	`jnl`	Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen
2016	A*	`conf`	Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis. CVPR Yuhui Quan, Chenglong Bao, Hui Ji
2014	—	`conf`	A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding. ECCV (6) Chenglong Bao, Yuhui Quan, Hui Ji
2014	A*	`conf`	L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence. CVPR Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen
2013	A*	`conf`	Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration. ICCV Chenglong Bao, Jian-Feng Cai, Hui Ji
2012	A*	`conf`	Real time robust L1 tracker using accelerated proximal gradient approach. CVPR Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji