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ORCIDXinwei Sun 0001
Person information
- unicode name: 孙鑫伟
- affiliation: Fudan University, School of Data Science and MOE Frontiers Center for Brain Science, Shanghai, China
- affiliation (2019 - 2022): Microsoft Research Asia, Beijing, China
- affiliation (PhD 2018): Peking University, China
Other persons with the same name
- Xinwei Sun 0002 — Beijing Information Science & Technology University, Beijing, China
- Xinwei Sun 0003 — Tsinghua University, Beijing, China
- Xinwei Sun 0004
![[0009-0003-4576-2359]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0003-4576-2359")
— Kunming University of Science and Technology, Faculty of Information Engineering and Automation, China - Xinwei Sun 0005 — State Grid Sichuan Electric Power Research Institute, Chengdu, China
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2020 – today
- 2024
[j6]Yikai Wang, Yanwei Fu, Xinwei Sun:
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3242-3256 (2024)- [j5]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie:
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4534-4550 (2024) - [c27]Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun:
Doubly Robust Proximal Causal Learning for Continuous Treatments. ICLR 2024 - [c26]Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang:
Causal Discovery via Conditional Independence Testing with Proxy Variables. ICML 2024 - [c25]Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu:
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. IROS 2024: 10059-10065 - [i30]Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang:
Bayesian Intervention Optimization for Causal Discovery. CoRR abs/2406.10917 (2024) - [i29]Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu:
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. CoRR abs/2408.03238 (2024) - [i28]Zhiling Zhou, Zirui Liu, Chengming Xu, Yanwei Fu, Xinwei Sun:
Robust Network Learning via Inverse Scale Variational Sparsification. CoRR abs/2409.18419 (2024) - 2023
- [j4]Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1749-1765 (2023) - [j3]Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu:
PatchMix Augmentation to Identify Causal Features in Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7639-7653 (2023) - [c24]Xinwei Sun:
Sparse Learning in AI: A Differential Inclusion Perspective. ACM TUR-C 2023: 7-8 - [c23]Xinwei Sun, Xiangyu Zheng, Jim Weinstein:
A New Causal Decomposition Paradigm towards Health Equity. AISTATS 2023: 875-890 - [c22]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-distribution Representation Learning for Time Series Classification. ICLR 2023 - [c21]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR 2023 - [c20]Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang:
Which Invariance Should We Transfer? A Causal Minimax Learning Approach. ICML 2023: 22488-22527 - [c19]Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang:
Causal Discovery from Subsampled Time Series with Proxy Variables. NeurIPS 2023 - [i27]Yikai Wang, Yanwei Fu, Xinwei Sun:
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels. CoRR abs/2301.00545 (2023) - [i26]Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang:
Causal Discovery from Subsampled Time Series with Proxy Variables. CoRR abs/2305.05276 (2023) - [i25]Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang:
Causal Discovery with Unobserved Variables: A Proxy Variable Approach. CoRR abs/2305.05281 (2023) - [i24]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie:
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR abs/2308.02282 (2023) - [i23]Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun:
Doubly Robust Proximal Causal Learning for Continuous Treatments. CoRR abs/2309.12819 (2023) - [i22]Mingzhou Liu, Xinwei Sun, Ching-Wen Lee, Yu Qiao, Yizhou Wang:
Exploring Counterfactual Alignment Loss towards Human-centered AI. CoRR abs/2310.01766 (2023) - 2022
- [c18]Yikai Wang, Xinwei Sun, Yanwei Fu:
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CVPR 2022: 346-355 - [i21]Yikai Wang, Xinwei Sun, Yanwei Fu:
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CoRR abs/2203.07788 (2022) - [i20]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. CoRR abs/2204.09954 (2022) - [i19]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-Distribution Representation Learning for Time Series Classification. CoRR abs/2209.07027 (2022) - [i18]Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu:
PatchMix Augmentation to Identify Causal Features in Few-shot Learning. CoRR abs/2211.16019 (2022) - 2021
- [j2]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. IEEE Trans. Image Process. 30: 7980-7994 (2021) - [c17]Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang:
Forecasting Irreversible Disease via Progression Learning. CVPR 2021: 8117-8125 - [c16]Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang:
Causal Hidden Markov Model for Time Series Disease Forecasting. CVPR 2021: 12105-12114 - [c15]Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang:
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. MICCAI (5) 2021: 23-32 - [c14]Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
DAE-GCN: Identifying Disease-Related Features for Disease Prediction. MICCAI (5) 2021: 43-52 - [c13]Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS 2021: 6155-6170 - [c12]Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu:
Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS 2021: 16846-16859 - [i17]Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang:
Causal Hidden Markov Model for Time Series Disease Forecasting. CoRR abs/2103.16391 (2021) - [i16]Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu:
Causally Invariant Predictor with Shift-Robustness. CoRR abs/2107.01876 (2021) - [i15]Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. CoRR abs/2110.04042 (2021) - 2020
- [j1]Bing Gao, Xinwei Sun, Yang Wang, Zhiqiang Xu:
Perturbed Amplitude Flow for Phase Retrieval. IEEE Trans. Signal Process. 68: 5427-5440 (2020) - [c11]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) 2020: 171-188 - [c10]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. ICML 2020: 3315-3326 - [i14]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR abs/2007.02010 (2020) - [i13]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR abs/2007.06793 (2020) - [i12]Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang:
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. CoRR abs/2007.08740 (2020) - [i11]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. CoRR abs/2009.14406 (2020) - [i10]Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR abs/2011.01681 (2020) - [i9]Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. CoRR abs/2011.02203 (2020) - [i8]Xinwei Sun, Botong Wu, Wei Chen:
Identifying Invariant Texture Violation for Robust Deepfake Detection. CoRR abs/2012.10580 (2020) - [i7]Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang:
Disease Forecast via Progression Learning. CoRR abs/2012.11107 (2020)
2010 – 2019
- 2019
- [c9]Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang:
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. CVPR 2019: 12578-12586 - [c8]Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang:
Learning With Unsure Data for Medical Image Diagnosis. ICCV 2019: 10589-10598 - [c7]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS 2019: 3896-3906 - [c6]Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang:
Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV 2019: 1308-1317 - [i6]Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao:
S2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. CoRR abs/1904.10873 (2019) - [i5]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR abs/1905.09449 (2019) - [i4]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR abs/1910.05905 (2019) - 2018
- [c5]Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang:
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. ICML 2018: 5907-5916 - [c4]Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang:
FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. MICCAI (1) 2018: 611-619 - [c3]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia 2018: 591-599 - [i3]Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang:
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. CoRR abs/1806.04360 (2018) - [i2]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. CoRR abs/1807.11014 (2018) - 2017
- [c2]Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang:
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. MICCAI (3) 2017: 107-115 - [i1]Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang:
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. CoRR abs/1711.07302 (2017) - 2016
- [c1]Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao:
Split LBI: An Iterative Regularization Path with Structural Sparsity. NIPS 2016: 3369-3377
Coauthor Index
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