Bao, Chenglong

19 publications

NeurIPS 2025 A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu

ICLR 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan

CVPR 2024 SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder Dihan Zheng, Yihang Zou, Xiaowen Zhang, Chenglong Bao

ICLR 2022 A Class of Short-Term Recurrence Anderson Mixing Methods and Their Applications Fuchao Wei, Chenglong Bao, Yang Liu

NeurIPS 2022 A Variant of Anderson Mixing with Minimal Memory Size Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

NeurIPS 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

ICLR 2021 An Unsupervised Deep Learning Approach for Real-World Image Denoising Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

NeurIPS 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization Fuchao Wei, Chenglong Bao, Yang Liu

CVPR 2020 Auxiliary Training: Towards Accurate and Robust Models Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma

ICML 2020 Interpolation Between Residual and Non-Residual Networks Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

CVPR 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

NeurIPS 2020 Task-Oriented Feature Distillation Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

ICCV 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

NeurIPS 2019 SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma

CVPR 2016 Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis Yuhui Quan, Chenglong Bao, Hui Ji

ECCV 2014 A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding Chenglong Bao, Yuhui Quan, Hui Ji

CVPR 2014 L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence Chenglong Bao, Hui Ji, Yuhui Quan, Zuowei Shen

ICCV 2013 Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration Chenglong Bao, Jian-Feng Cai, Hui Ji

CVPR 2012 Real Time Robust L1 Tracker Using Accelerated Proximal Gradient Approach Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji