| 2025 | AISTATS | A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis. | Wenjing Han, Yueming Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang |
| 2025 | ICLR | Learning Causal Alignment for Reliable Disease Diagnosis. | Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, Yu Qiao, Yizhou Wang |
| 2025 | ICLR | Adaptive Pruning of Pretrained Transformer via Differential Inclusions. | Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu |
| 2025 | ICML | Bayesian Active Learning for Bivariate Causal Discovery. | Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang |
| 2025 | ICML | Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond. | Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun |
| 2024 | ICLR | Doubly Robust Proximal Causal Learning for Continuous Treatments. | Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun |
| 2024 | ICML | Causal Discovery via Conditional Independence Testing with Proxy Variables. | Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang |
| 2024 | IROS | LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. | Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu |
| 2024 | UAI | Exploring High-dimensional Search Space via Voronoi Graph Traversing. | Aidong Zhao, Xuyang Zhao, Tianchen Gu, Zhaori Bi, Xinwei Sun, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng |
| 2023 | AISTATS | A New Causal Decomposition Paradigm towards Health Equity. | Xinwei Sun, Xiangyu Zheng, Jim Weinstein |
| 2023 | ICLR | Out-of-distribution Representation Learning for Time Series Classification. | Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie |
| 2023 | ICLR | Learning Domain-Agnostic Representation for Disease Diagnosis. | Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang |
| 2023 | ICML | Which Invariance Should We Transfer? A Causal Minimax Learning Approach. | Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang |
| 2022 | CVPR | Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. | Yikai Wang, Xinwei Sun, Yanwei Fu |
| 2021 | CVPR | Causal Hidden Markov Model for Time Series Disease Forecasting. | Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang |
| 2021 | CVPR | Forecasting Irreversible Disease via Progression Learning. | Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang |
| 2021 | MICCAI | CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. | Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang |
| 2021 | MICCAI | DAE-GCN: Identifying Disease-Related Features for Disease Prediction. | Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang |
| 2020 | ECCV | TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. | Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang |
| 2020 | ICML | DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. | Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao |
| 2019 | CVPR | Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. | Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang |
| 2019 | ICCV | Learning With Unsure Data for Medical Image Diagnosis. | Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang |
| 2019 | WACV | Zero-Shot Learning Via Recurrent Knowledge Transfer. | Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang |
| 2018 | ICML | MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. | Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang |
| 2018 | MICCAI | FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. | Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang |
| 2017 | MICCAI | GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. | Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang |