Chenglong Bao

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Hui JiApplied Mathematics, National University of SingaporeVerified email at nus.edu.sg
Kaisheng MaInstitute for Interdisciplinary Information Sciences, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Linfeng Zhang (张林峰)Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zuowei ShenNational University of SingaporeVerified email at nus.edu.sg
Quan YuhuiSouth China University of TechnologyVerified email at scut.edu.cn
Haibin LingSUNY Empire Innovation Professor, Stony Brook UniversityVerified email at cs.stonybrook.edu
Yi WuLonguet-Higgins Prize 2023Verified email at wormpexai.com
Bin DongBeijing International Center for Mathematical Research, Peking UniversityVerified email at math.pku.edu.cn
Jian-Feng CaiProfessor of Mathematics, Hong Kong University of Science and TechnologyVerified email at ust.hk
Yang LiuGDS Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Tan Sia HuatMaster student at Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xiaoqun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.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
Kaidi XuAssistant Professor, Drexel UniversityVerified email at northeastern.edu
Zhanhong TanTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Kai JiangSchool of Mathematics and Computational ScienceVerified email at xtu.edu.cn
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	1235	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	643	2019
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	195	2015
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	104	2014
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	101	2013
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	94	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	67	2019
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	44	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	44	2015
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	42	2016
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
Task-oriented feature distillation L Zhang, Y Shi, Z Shi, K Ma, C Bao Advances in Neural Information Processing Systems 33, 14759-14771, 2020	37	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	31	2020
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	28	2021
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	28	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	27	2020
Cerebellar functional parcellation using sparse dictionary learning clustering C Wang, J Kipping, C Bao, H Ji, A Qiu Frontiers in neuroscience 10, 188, 2016	23	2016
Coherence retrieval using trace regularization C Bao, G Barbastathis, H Ji, Z Shen, Z Zhang SIAM Journal on Imaging Sciences 11 (1), 679-706, 2018	17	2018
Approximation analysis of convolutional neural networks C Bao, Q Li, Z Shen, C Tai, L Wu, X Xiang work 65, 2014	15	2014
A semismooth Newton based augmented Lagrangian method for nonsmooth optimization on matrix manifolds Y Zhou, C Bao, C Ding, J Zhu Mathematical Programming 201 (1-2), 1-61, 2023	14	2023

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