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Haoliang Sun (孙皓亮)
Haoliang Sun (孙皓亮)
Associate Professor, School of Software, Shandong University
Verified email at sdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression
S Haoliang, Z Xiantong, B Chris, R Parham, Y Yilong, L Shuo
Proceedings of International Conference on Information Processing in Medical …, 2017
712017
Dual-glow: Conditional flow-based generative model for modality transfer
H Sun, R Mehta, HH Zhou, Z Huang, SC Johnson, V Prabhakaran, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
462019
Learning Deep Match Kernels for Image-Set Classification
SL Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin
Proceedings of the IEEE conference on computer vision and pattern recognition, 2017
452017
Learning to learn kernels with variational random features
X Zhen, H Sun, CS Yingjun Du, Jun Xu, Yilong Yin, Ling Shao
International Conference on Machine Learning, 11409-11419, 2020
332020
Learning transferable parameters for unsupervised domain adaptation
Z Han, H Sun, Y Yin
IEEE Transactions on Image Processing 31, 6424-6439, 2022
312022
Learning to Rectify for Robust Learning with Noisy Labels
H Sun, C Guo, Q Wei, Z Han, Y Yin
Pattern Recognition 124, 108467, 2022
292022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
Q Wei, H Sun, X Lu, Y Yin
European Conference on Computer Vision (ECCV), 2022
282022
Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval
X Liu, X Nie, H Sun, C Cui, Y Yin
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
222018
Fine-Grained Classification with Noisy Labels
Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
112023
Towards accurate and robust domain adaptation under multiple noisy environments
Z Han, XJ Gui, H Sun, Y Yin, S Li
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6460-6479, 2022
72022
Attentional Prototype Inference for Few-Shot Segmentation
H Sun, X Lu, H Wang, Y Yin, X Zhen, CGM Snoek, L Shao
Pattern Recognition, 2023
6*2023
MetaKernel: Learning variational random features with limited labels
Y Du, H Sun, X Zhen, J Xu, Y Yin, L Shao, CGM Snoek
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
52022
MetaViewer: Towards A Unified Multi-View Representation
R Wang, H Sun, Y Ma, X Xi, Y Yin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
42023
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning
R Wang, H Sun, X Nie, Y Yin
Knowledge-Based Systems, 2022
42022
Learning The Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks
H Sun, X Zhen, Y Yin
The 26th IEEE International Conference on Image Processing (ICIP), 2019
22019
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
R Wang, H Sun, Q Wei, X Nie, Y Ma, Y Yin
arXiv preprint arXiv:2306.08460, 2023
12023
Learning Sample-Aware Threshold for Semi-Supervised Learning
Q Wei, L Feng, H Sun, R Wang, R He, Y Yin
Machine Learning Journal (ACML Journal Track), 2023
2023
Multi-View Representation Learning via View-Aware Modulation
R Wang, H Sun, X Nie, Y Lin, X Xi, Y Yin
Proceedings of the 31st ACM International Conference on Multimedia, 3876-3886, 2023
2023
Task-Oriented Multi-View Representation Learning
R Wang, H Sun, Y Lin, Y Gong, X Nie, Y Yin
2023
面向标签噪声的联合训练框架
魏琦, 孙皓亮*, 马玉玲, 尹义龙*
中国科学(信息科学), 2023
2023
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