Xinwei Sun
Title
Cited by
Cited by
Year
Split LBI: An iterative regularization path with structural sparsity
C Huang, X Sun, J Xiong, Y Yao
Proceedings of the 30th International Conference on Neural Information …, 2016
162016
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
International Conference on Machine Learning, 5912-5921, 2018
152018
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
112019
GSplit LBI: Taming the procedural bias in neuroimaging for disease prediction
X Sun, L Hu, Y Yao, Y Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2017
112017
Learning with unsure data for medical image diagnosis
B Wu, X Sun, L Hu, Y Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
82019
Zero-shot learning via shared-reconstruction-graph pursuit
B Zhao, X Sun, Y Yao, Y Wang
arXiv preprint arXiv:1711.07302, 2017
8*2017
Boosting with structural sparsity: A differential inclusion approach
C Huang, X Sun, J Xiong, Y Yao
Applied and Computational Harmonic Analysis 48 (1), 1-45, 2020
72020
Perturbed Amplitude Flow for Phase Retrieval
B Gao, X Sun, Y Wang, Z Xu
IEEE Transactions on Signal Processing 68, 5427-5440, 2020
52020
A margin-based mle for crowdsourced partial ranking
Q Xu, J Xiong, X Sun, Z Yang, X Cao, Q Huang, Y Yao
Proceedings of the 26th ACM international conference on Multimedia, 591-599, 2018
52018
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
Y Fu, C Liu, D Li, Z Zhong, X Sun, J Zeng, Y Yao
arXiv preprint arXiv:1905.09449, 2019
42019
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
arXiv preprint arXiv:2011.01681, 2020
32020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Y Fu, C Liu, D Li, X Sun, J Zeng, Y Yao
International Conference on Machine Learning, 3315-3326, 2020
22020
Latent Causal Invariant Model
X Sun, B Wu, C Liu, X Zheng, W Chen, T Qin, T Liu
arXiv preprint arXiv:2011.02203, 2020
22020
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
European Conference on Computer Vision, 171-188, 2020
22020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
C Wang, J Li, F Zhang, X Sun, H Dong, Y Yu, Y Wang
arXiv preprint arXiv:2009.14406, 2020
12020
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Q Xu, X Sun, Z Yang, X Cao, Q Huang, Y Yao
arXiv preprint arXiv:1910.05905, 2019
12019
Fdr-hs: An empirical bayesian identification of heterogenous features in neuroimage analysis
X Sun, L Hu, F Zhang, Y Yao, Y Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
12018
Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs
Y Cao, X Sun, Y Yao
arXiv preprint arXiv:2103.16159, 2021
2021
Causal Hidden Markov Model for Time Series Disease Forecasting
J Li, B Wu, X Sun, Y Wang
arXiv preprint arXiv:2103.16391, 2021
2021
Disease Forecast via Progression Learning
B Wu, S Ren, J Li, X Sun, S Li, Y Wang
arXiv preprint arXiv:2012.11107, 2020
2020
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