| 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 | 48 | 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 | 33* | 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 | 29 | 2019 |
| 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 | 24 | 2019 |
| 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 | 19 | 2016 |
| Perturbed amplitude flow for phase retrieval B Gao, X Sun, Y Wang, Z Xu (TSP) IEEE Transactions on Signal Processing 68, 5427-5440, 2020 | 18* | 2020 |
| 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 | 18 | 2018 |
| 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 | 14 | 2017 |
| 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 | 13 | 2020 |
| 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 | 13* | 2019 |
| 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 | 12 | 2022 |
| 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 | 11 | 2021 |
| Identifying invariant texture violation for robust deepfake detection X Sun, B Wu, W Chen arXiv preprint arXiv:2012.10580, 2020 | 9 | 2020 |
| 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 | 8 | 2021 |
| 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 | 8 | 2020 |
| 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 | 6 | 2021 |
| 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 | 6* | 2020 |
| 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 | 5 | 2021 |
| A margin-based mle for crowdsourced partial ranking Q Xu, J Xiong, X Sun, Z Yang, X Cao, Q Huang, Y Yao (ACM-MM) Proceedings of the 26th ACM international conference on Multimedia …, 2018 | 5 | 2018 |
| 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 | 3 | 2022 |
Yuan YAOHong Kong University of Science and TechnologyVerified email at ust.hk
