Chenglong Bao

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Kaisheng MaInstitute for Interdisciplinary Information Sciences, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Hui JIApplied Mathematics, National University of SingaporeVerified email at nus.edu.sg
Linfeng Zhang (张林峰)Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zuowei ShenNational University of SingaporeVerified email at nus.edu.sg
Yuhui QuanSouth China University of TechnologyVerified email at scut.edu.cn
Haibin LingSUNY Empire Innovation Professor, Stony Brook UniversityVerified email at cs.stonybrook.edu
Yang LiuGDS Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Bin DongBeijing International Center for Mathematical Research, Peking UniversityVerified email at math.pku.edu.cn
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Tan Sia HuatMaster student at Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and TechnologyVerified email at ust.hk
Kai JiangSchool of Mathematics and Computational ScienceVerified email at xtu.edu.cn
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Kaidi XuAssistant Professor, Drexel UniversityVerified email at northeastern.edu
Zhanhong TanTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yuhao ZhouTsinghua UniversityVerified email at mails.tsinghua.edu.cn
George BarbastathisProfessor of Mechanical Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Zhengyun ZhangResearch Scientist, BioSystems & Micromechanics IRG, SMARTVerified email at smart.mit.edu
Yong XUSouth China University of TechnologyVerified email at scut.edu.cn
Jinxiu LiangPeking UniversityVerified email at pku.edu.cn

Chenglong Bao

Yau Mathematical Sciences Center, Tsinghua University

Verified email at tsinghua.edu.cn - Homepage

image processing optimization and machine learning


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Real time robust l1 tracker using accelerated proximal gradient approach C Bao, Y Wu, H Ling, H Ji 2012 IEEE conference on computer vision and pattern recognition, 1830-1837, 2012	1250	2012
Be your own teacher: Improve the performance of convolutional neural networks via self distillation L Zhang, J Song, A Gao, J Chen, C Bao, K Ma Proceedings of the IEEE/CVF international conference on computer vision …, 2019	1086	2019
Self-distillation: Towards efficient and compact neural networks L Zhang, C Bao, K Ma IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4388-4403, 2021	248	2021
Dictionary learning for sparse coding: Algorithms and convergence analysis C Bao, H Ji, Y Quan, Z Shen IEEE transactions on pattern analysis and machine intelligence 38 (7), 1356-1369, 2015	208	2015
Fast sparsity-based orthogonal dictionary learning for image restoration C Bao, JF Cai, H Ji Proceedings of the IEEE International Conference on Computer Vision, 3384-3391, 2013	114	2013
L0 norm based dictionary learning by proximal methods with global convergence C Bao, H Ji, Y Quan, Z Shen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	108	2014
Afec: Active forgetting of negative transfer in continual learning L Wang, M Zhang, Z Jia, Q Li, C Bao, K Ma, J Zhu, Y Zhong Advances in Neural Information Processing Systems 34, 22379-22391, 2021	98	2021
Scan: A scalable neural networks framework towards compact and efficient models L Zhang, Z Tan, J Song, J Chen, C Bao, K Ma Advances in Neural Information Processing Systems 32, 2019	91	2019
Task-oriented feature distillation L Zhang, Y Shi, Z Shi, K Ma, C Bao Advances in Neural Information Processing Systems 33, 14759-14771, 2020	60	2020
Auxiliary training: Towards accurate and robust models L Zhang, M Yu, T Chen, Z Shi, C Bao, K Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	52	2020
Equiangular kernel dictionary learning with applications to dynamic texture analysis Y Quan, C Bao, H Ji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	49	2016
Image restoration by minimizing zero norm of wavelet frame coefficients C Bao, B Dong, L Hou, Z Shen, X Zhang, X Zhang Inverse problems 32 (11), 115004, 2016	48	2016
Convergence analysis for iterative data-driven tight frame construction scheme C Bao, H Ji, Z Shen Applied and Computational Harmonic Analysis 38 (3), 510-523, 2015	46	2015
A convergent incoherent dictionary learning algorithm for sparse coding C Bao, Y Quan, H Ji Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	39	2014
Barzilai–Borwein-based adaptive learning rate for deep learning J Liang, Y Xu, C Bao, Y Quan, H Ji Pattern Recognition Letters 128, 197-203, 2019	37	2019
Light-weight calibrator: a separable component for unsupervised domain adaptation S Ye, K Wu, M Zhou, Y Yang, SH Tan, K Xu, J Song, C Bao, K Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	36	2020
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds Y Zhou, C Bao, C Ding, J Zhu Mathematical Programming 201 (1), 1-61, 2023	35	2023
Cerebellar functional parcellation using sparse dictionary learning clustering C Wang, J Kipping, C Bao, H Ji, A Qiu Frontiers in neuroscience 10, 188, 2016	29	2016
Learn from unpaired data for image restoration: A variational bayes approach D Zheng, X Zhang, K Ma, C Bao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5889-5903, 2022	28	2022
An unsupervised deep learning approach for real-world image denoising D Zheng, SH Tan, X Zhang, Z Shi, K Ma, C Bao International Conference on Learning Representations, 2020	25	2020

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