Stebėti
Xinwei Sun
Xinwei Sun
School of Data Science, Fudan University
Patvirtintas el. paštas fudan.edu.cn - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Learning causal semantic representation for out-of-distribution prediction
C Liu, X Sun, J Wang, H Tang, T Li, T Qin, W Chen, TY Liu
(NeurIPS) Advances In Neural Information Processing Systems, 2020
111*2020
Recovering Latent Causal Factor for Generalization to Distributional Shifts
X Sun, B Wu, X Zheng, C Liu, W Chen, T Qin, TY Liu
(NeurIPS) Advances in Neural Information Processing Systems 34, 2021
65*2021
Cascaded generative and discriminative learning for microcalcification detection in breast mammograms
F Zhang, L Luo, X Sun, Z Zhou, X Li, Y Yu, Y Wang
(CVPR) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
432019
Out-of-distribution representation learning for time series classification
W Lu, J Wang, X Sun, Y Chen, X Xie
arXiv preprint arXiv:2209.07027, 2022
342022
Scalable penalized regression for noise detection in learning with noisy labels
Y Wang, X Sun, Y Fu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
332022
Learning with unsure data for medical image diagnosis
B Wu, X Sun, L Hu, Y Wang
(ICCV) Proceedings of the IEEE/CVF International Conference on Computer …, 2019
302019
Causal Hidden Markov Model for Time Series Disease Forecasting
J Li, B Wu, X Sun, Y Wang
(CVPR) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
292021
Tcgm: An information-theoretic framework for semi-supervised multi-modality learning
X Sun, Y Xu, P Cao, Y Kong, L Hu, S Zhang, Y Wang
(ECCV) European Conference on Computer Vision, 171-188, 2020
222020
Msplit lbi: Realizing feature selection and dense estimation simultaneously in few-shot and zero-shot learning
B Zhao, X Sun, Y Fu, Y Yao, Y Wang
(ICML) International conference on machine learning, 5912-5921, 2018
222018
Split LBI: An iterative regularization path with structural sparsity
C Huang, X Sun, J Xiong, Y Yao
(NeurIPS) Advances In Neural Information Processing Systems 29, 3369-3377, 2016
222016
Perturbed amplitude flow for phase retrieval
B Gao, X Sun, Y Wang, Z Xu
(TSP) IEEE Transactions on Signal Processing 68, 5427-5440, 2020
202020
Zero-shot learning via recurrent knowledge transfer
B Zhao, X Sun, X Hong, Y Yao, Y Wang
(WACV) 2019 IEEE Winter Conference on Applications of Computer Vision, 1308-1317, 2019
18*2019
GSplit LBI: Taming the procedural bias in neuroimaging for disease prediction
X Sun, L Hu, Y Yao, Y Wang
(MICCAI) International Conference on Medical Image Computing and Computer …, 2017
182017
Bilateral asymmetry guided counterfactual generating network for mammogram classification
C Wang, J Li, F Zhang, X Sun, H Dong, Y Yu, Y Wang
(TIP) IEEE Transactions on Image Processing 30, 7980-7994, 2021
162021
Boosting with structural sparsity: A differential inclusion approach
C Huang, X Sun, J Xiong, Y Yao
(ACHA) Applied and Computational Harmonic Analysis 48 (1), 1-45, 2020
132020
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction
M Liu, F Zhang, X Sun, Y Yu, Y Wang
(MICCAI) International Conference on Medical Image Computing and Computer …, 2021
122021
Identifying invariant texture violation for robust deepfake detection
X Sun, B Wu, W Chen
arXiv preprint arXiv:2012.10580, 2020
122020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Y Fu, C Liu, D Li, X Sun, J Zeng, Y Yao
(ICML) International Conference on Machine Learning, 3315-3326, 2020
10*2020
Exploring structural sparsity of deep networks via inverse scale spaces
Y Fu, C Liu, D Li, Z Zhong, X Sun, J Zeng, Y Yao
(TPAMI) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
82022
DAE-GCN: Identifying Disease-Related Features for Disease Prediction
C Wang, X Sun, F Zhang, Y Yu, Y Wang
(MICCAI) International Conference on Medical Image Computing and Computer …, 2021
82021
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