Chenglong Bao

Cituota

	Visi	Nuo 2020
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h-rodyklė	21	19
i10-rodyklė	31	28

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

Stebėti

Chenglong Bao

Yau Mathematical Sciences Center, Tsinghua University

Patvirtintas el. paštas tsinghua.edu.cn - Pagrindinis puslapis

image processing optimization and machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1248	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	1053	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	235	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	113	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	91	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	89	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	57	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	51	2020
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
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	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	35	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	34	2023
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
Cerebellar functional parcellation using sparse dictionary learning clustering C Wang, J Kipping, C Bao, H Ji, A Qiu Frontiers in neuroscience 10, 188, 2016	27	2016
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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