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Dongdong Chen 0004
Person information
- affiliation: University of Edinburgh, School of Engineering, UK
- affiliation (PhD 2017): Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, China
Other persons with the same name
- Dongdong Chen — disambiguation page
- Dongdong Chen 0001
— Microsoft Cloud AI (and 1 more)
- Dongdong Chen 0002 — Intel Corporation, Sacramento, CA, USA (and 1 more)
- Dongdong Chen 0003
- Dongdong Chen 0005
- Dongdong Chen 0006
- Dongdong Chen 0007 — Minnan University of Science and Technology, Quanzhou, China
- Dongdong Chen 0009
- Dongdong Chen 0010
- Dongdong Chen 0011
- Dongdong Chen 0012
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2020 – today
- 2024
- [j8]Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv:
Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. Pattern Recognit. Lett. 185: 94-100 (2024) - [c14]Hongjie Wu
Diffusion Posterior Proximal Sampling for Image Restoration. ACM Multimedia 2024: 214-223 - [c13]Chaoqun Niu
Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning. ACM Multimedia 2024: 7609-7618 - [i17]Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv:
Diffusion Posterior Proximal Sampling for Image Restoration. CoRR abs/2402.16907 (2024) - 2023
- [j7]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. J. Mach. Learn. Res. 24: 39:1-39:45 (2023) - [j6]Dongdong Chen
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40(1): 134-147 (2023) - [i16]Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Traffic Video Object Detection using Motion Prior. CoRR abs/2311.10092 (2023) - [i15]Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero:
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR abs/2311.18839 (2023) - 2022
- [j5]Heyi Li
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41(1): 3-13 (2022) - [j4]Dongbo Liu
An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 415-425 (2022) - [c12]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR 2022: 5637-5646 - [c11]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI 2022: 1-4 - [c10]Julián Tachella, Dongdong Chen, Mike E. Davies:
Unsupervised Learning From Incomplete Measurements for Inverse Problems. NeurIPS 2022 - [i14]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Learning from Incomplete Measurements. CoRR abs/2201.12151 (2022) - [i13]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR abs/2203.12513 (2022) - [i12]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - 2021
- [c9]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. ICCV 2021: 4359-4368 - [i11]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. CoRR abs/2103.14756 (2021) - [i10]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR abs/2111.12855 (2021) - 2020
- [j3]Dongbo Liu
A Network Framework for Small-Sample Learning. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4049-4062 (2020) - [c8]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) 2020: 510-526 - [c7]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) 2020: 13-22 - [i9]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR abs/2006.15271 (2020) - [i8]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR abs/2008.02957 (2020) - [i7]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR abs/2012.14690 (2020)
2010 – 2019
- 2019
- [j2]Dongdong Chen
Angle-based embedding quality assessment method for manifold learning. Neural Comput. Appl. 31(3): 839-849 (2019) - [c6]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP 2019: 1224-1228 - [c5]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP 2019: 7825-7829 - [c4]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) 2019: 486-494 - [i6]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR abs/1903.00001 (2019) - [i5]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR abs/1907.00300 (2019) - [i4]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. CoRR abs/1911.11028 (2019) - 2018
- [j1]Dongdong Chen
Graph Regularized Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2651-2659 (2018) - [c3]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI 2018: 81-89 - [i3]Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR abs/1808.08885 (2018) - [i2]Dongdong Chen, Jiancheng Lv, Mike E. Davies:
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR abs/1808.09389 (2018) - [i1]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR abs/1809.01749 (2018) - 2017
- [c2]Dongdong Chen, Jiancheng Lv, Yi Zhang:
Unsupervised Multi-Manifold Clustering by Learning Deep Representation. AAAI Workshops 2017 - 2014
- [c1]Dongdong Chen, Jian Cheng Lv, Zhang Yi:
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation. AAAI 2014: 1745-1751
Coauthor Index
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last updated on 2024-11-20 20:57 CET by the dblp team
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