Xinwei Sun

Orcid: 0000-0001-6962-7985

Affiliations:

Fudan University, School of Data Science and MOE Frontiers Center for Brain Science, Shanghai, China
Microsoft Research Asia, Beijing, China (2019 - 2022)
Peking University, China (PhD 2018)

According to our database¹, Xinwei Sun authored at least 44 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels.

[BibT_eX]

[DOI]

Yikai Wang

Yanwei Fu

Xinwei Sun

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023

PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Exploring Counterfactual Alignment Loss towards Human-centered AI.

[BibT_eX]

[DOI]

CoRR, 2023

Doubly Robust Proximal Causal Learning for Continuous Treatments.

[BibT_eX]

[DOI]

CoRR, 2023

DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Discovery with Unobserved Variables: A Proxy Variable Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Discovery from Subsampled Time Series with Proxy Variables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Which Invariance Should We Transfer? A Causal Minimax Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Domain-Agnostic Representation for Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Out-of-distribution Representation Learning for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A New Causal Decomposition Paradigm towards Health Equity.

[BibT_eX]

[DOI]

Xinwei Sun

Xiangyu Zheng

Jim Weinstein

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Sparse Learning in AI: A Differential Inclusion Perspective.

[BibT_eX]

[DOI]

Xinwei Sun

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels.

[BibT_eX]

[DOI]

Yikai Wang

Xinwei Sun

Yanwei Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Causally Invariant Predictor with Shift-Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

Recovering Latent Causal Factor for Generalization to Distributional Shifts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DAE-GCN: Identifying Disease-Related Features for Disease Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Forecasting Irreversible Disease via Progression Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal Hidden Markov Model for Time Series Disease Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Perturbed Amplitude Flow for Phase Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Disease Forecast via Progression Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Identifying Invariant Texture Violation for Robust Deepfake Detection.

[BibT_eX]

[DOI]

Xinwei Sun

Botong Wu

Wei Chen

CoRR, 2020

Latent Causal Invariant Model.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space.

[BibT_eX]

[DOI]

CoRR, 2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.

[BibT_eX]

[DOI]

CoRR, 2019

S<sup>2</sup>-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Zero-Shot Learning Via Recurrent Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning With Unsure Data for Medical Image Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Margin-based MLE for Crowdsourced Partial Ranking.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Zero-shot Learning via Shared-Reconstruction-Graph Pursuit.

[BibT_eX]

[DOI]

CoRR, 2017

GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Split LBI: An Iterative Regularization Path with Structural Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Xinwei Sun

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...