Xinwei Sun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Causal Discovery

Observed Variables

Sparse Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yikai Wang, Yanwei Fu, Xinwei Sun
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
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) (2024)
Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
Doubly Robust Proximal Causal Learning for Continuous Treatments. ICLR (2024)
Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang
Bayesian Intervention Optimization for Causal Discovery. CoRR (2024)
Xinwei Sun, Xiangyu Zheng, Jim Weinstein
A New Causal Decomposition Paradigm towards Health Equity. AISTATS (2023)
Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang
Which Invariance Should We Transfer? A Causal Minimax Learning Approach. ICML (2023)
Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
Doubly Robust Proximal Causal Learning for Continuous Treatments. CoRR (2023)
Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Causal Discovery from Subsampled Time Series with Proxy Variables. NeurIPS (2023)
Yikai Wang, Yanwei Fu, Xinwei Sun
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels. CoRR (2023)
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) (2023)
Mingzhou Liu, Xinwei Sun, Ching-Wen Lee, Yu Qiao, Yizhou Wang
Exploring Counterfactual Alignment Loss towards Human-centered AI. CoRR (2023)
Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Causal Discovery from Subsampled Time Series with Proxy Variables. CoRR (2023)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-distribution Representation Learning for Time Series Classification. ICLR (2023)
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) (2023)
Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang
Causal Discovery with Unobserved Variables: A Proxy Variable Approach. CoRR (2023)
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 (2023)
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR (2023)
Xinwei Sun
Sparse Learning in AI: A Differential Inclusion Perspective. ACM TUR-C (2023)
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 (2022)
Yikai Wang, Xinwei Sun, Yanwei Fu
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CoRR (2022)
Yikai Wang, Xinwei Sun, Yanwei Fu
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CVPR (2022)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-Distribution Representation Learning for Time Series Classification. CoRR (2022)
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. CoRR (2022)
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)
Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu
Causally Invariant Predictor with Shift-Robustness. CoRR (2021)
Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang
Causal Hidden Markov Model for Time Series Disease Forecasting. CoRR (2021)
Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang
Causal Hidden Markov Model for Time Series Disease Forecasting. CVPR (2021)
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)
Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang
Forecasting Irreversible Disease via Progression Learning. CVPR (2021)
Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. CoRR (2021)
Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
DAE-GCN: Identifying Disease-Related Features for Disease Prediction. MICCAI (5) (2021)
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 (2021)
Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. MICCAI (5) (2021)
Xinwei Sun, Botong Wu, Wei Chen
Identifying Invariant Texture Violation for Robust Deepfake Detection. CoRR (2020)
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 (2020)
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 (2020)
Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu
Latent Causal Invariant Model. CoRR (2020)
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)
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 (2020)
Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang
Disease Forecast via Progression Learning. CoRR (2020)
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)
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 (2020)
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR (2020)
Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao
-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. CoRR (2019)
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)
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR (2019)
Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS (2019)
Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Learning With Unsure Data for Medical Image Diagnosis. ICCV (2019)
Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR (2019)
Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang
Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV (2019)
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 (2018)
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)
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)
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)
Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
A Margin-based MLE for Crowdsourced Partial Ranking. CoRR (2018)
Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. MICCAI (3) (2017)
Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. CoRR (2017)
Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao
Split LBI: An Iterative Regularization Path with Structural Sparsity. NIPS (2016)