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Haoliang Sun
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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
492017
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
282017
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
252019
Learning to learn kernels with variational random features
X Zhen, H Sun, Y Du, J Xu, Y Yin, L Shao, C Snoek
International Conference on Machine Learning, 11409-11419, 2020
192020
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
182018
Learning transferable parameters for unsupervised domain adaptation
Z Han, H Sun, Y Yin
IEEE Transactions on Image Processing, 2022
22022
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
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
12022
Learning to learn kernels with variational random features
H Sun, Y Du, J Xu, Y Yin, X Zhen, L Shao
12019
SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning
R Wang, H Sun, X Nie, Y Yin
Knowledge-Based Systems, 2022
2022
Learning to Rectify for Robust Learning with Noisy Labels
H Sun, C Guo, Q Wei, Z Han, Y Yin
Pattern Recognition 124, 108467, 2021
2021
Attentional Prototype Inference for Few-Shot Semantic Segmentation
H Sun, X Lu, H Wang, Y Yin, X Zhen, CGM Snoek, L Shao
arXiv preprint arXiv:2105.06668, 2021
2021
Dual Flow Generative Computer Architecture
H Sun, RR Mehta, H Zhou, V Singh, V Prabhakaran, SC Johnson
US Patent App. 16/417,192, 2020
2020
Synthesizing PET from MRI Using Conditional Flow-Based Generative Models
H Sun, R Mehta, H Zhou, V Prabhakaran, S Johnson, V Singh
OHBM 2019 (Abstract), 2019
2019
Supplementary Materials for" Learning to Learn Kernels with Variational Random Features
X Zhen, H Sun, Y Du, J Xu, Y Yin, L Shao, C Snoek
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Articles 1–15