Xinwei Sun - RankMe

76 papers A* 21A 5Journal 43Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis. AISTATS Wenjing Han, Yueming Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang
2025	J	`jnl`	A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs. CoRR Chang Wan, Ke Fan, Xinwei Sun, Yanwei Fu, Minglu Li, Yunliang Jiang, Zhonglong Zheng
2025	J	`jnl`	A new formulation of Lipschitz constrained with functional gradient learning for GANs. Mach. Learn. Chang Wan, Ke Fan, Xinwei Sun, Yanwei Fu, Minglu Li, Yunliang Jiang, Zhonglong Zheng
2025	A*	`conf`	Adaptive Pruning of Pretrained Transformer via Differential Inclusions. ICLR Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu
2025	J	`jnl`	Adaptive Pruning of Pretrained Transformer via Differential Inclusions. CoRR Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu
2025	A*	`conf`	Bayesian Active Learning for Bivariate Causal Discovery. ICML Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang
2025	A*	`conf`	Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond. ICML Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
2025	J	`jnl`	Conditional Local Independence Testing for Dynamic Causal Discovery. CoRR Mingzhou Liu, Xinwei Sun, Yizhou Wang
2025	A*	`conf`	Learning Causal Alignment for Reliable Disease Diagnosis. ICLR Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, Yu Qiao, Yizhou Wang
2025	J	`jnl`	Revisiting Large Language Model Pruning using Neuron Semantic Attribution. CoRR Yizhuo Ding, Xinwei Sun, Yanwei Fu, Guosheng Hu
2025	J	`jnl`	Towards Reliable and Holistic Visual In-Context Learning Prompt Selection. CoRR Wenxiao Wu, Jing-Hao Xue, Chengming Xu, Chen Liu, Xinwei Sun, Changxin Gao, Nong Sang, Yanwei Fu
2024	J	`jnl`	Bayesian Intervention Optimization for Causal Discovery. CoRR Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang
2024	A*	`conf`	Causal Discovery via Conditional Independence Testing with Proxy Variables. ICML Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang
2024	J	`jnl`	Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2024	A*	`conf`	Doubly Robust Proximal Causal Learning for Continuous Treatments. ICLR Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
2024	A	`conf`	Exploring High-dimensional Search Space via Voronoi Graph Traversing. UAI Aidong Zhao, Xuyang Zhao, Tianchen Gu, Zhaori Bi, Xinwei Sun, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng
2024	J	`jnl`	Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. Yikai Wang, Yanwei Fu, Xinwei Sun
2024	A	`conf`	LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. IROS Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu
2024	J	`jnl`	LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion. CoRR Jinyu Zhang, Yongchong Gu, Jianxiong Gao, Haitao Lin, Qiang Sun, Xinwei Sun, Xiangyang Xue, Yanwei Fu
2024	J	`jnl`	LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding. Trans. Mach. Learn. Res. Xuelin Qian, Yikai Wang, Xinwei Sun, Yanwei Fu, Xiangyang Xue, Jianfeng Feng
2024	J	`jnl`	Robust Network Learning via Inverse Scale Variational Sparsification. CoRR Zhiling Zhou, Zirui Liu, Chengming Xu, Yanwei Fu, Xinwei Sun
2023	A	`conf`	A New Causal Decomposition Paradigm towards Health Equity. AISTATS Xinwei Sun, Xiangyu Zheng, Jim Weinstein
2023	A*	`conf`	Causal Discovery from Subsampled Time Series with Proxy Variables. NeurIPS Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
2023	J	`jnl`	Causal Discovery from Subsampled Time Series with Proxy Variables. CoRR Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
2023	J	`jnl`	Causal Discovery with Unobserved Variables: A Proxy Variable Approach. CoRR Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang
2023	J	`jnl`	DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
2023	J	`jnl`	Doubly Robust Proximal Causal Learning for Continuous Treatments. CoRR Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
2023	J	`jnl`	Exploring Counterfactual Alignment Loss towards Human-centered AI. CoRR Mingzhou Liu, Xinwei Sun, Ching-Wen Lee, Yu Qiao, Yizhou Wang
2023	J	`jnl`	Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao
2023	J	`jnl`	Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels. CoRR Yikai Wang, Yanwei Fu, Xinwei Sun
2023	A*	`conf`	Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2023	A*	`conf`	Out-of-distribution Representation Learning for Time Series Classification. ICLR Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2023	J	`jnl`	PatchMix Augmentation to Identify Causal Features in Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu
2023	—	`conf`	Sparse Learning in AI: A Differential Inclusion Perspective. ACM TUR-C Xinwei Sun
2023	A*	`conf`	Which Invariance Should We Transfer? A Causal Minimax Learning Approach. ICML Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang
2022	J	`jnl`	Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. CoRR Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2022	J	`jnl`	Out-of-Distribution Representation Learning for Time Series Classification. CoRR Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2022	J	`jnl`	PatchMix Augmentation to Identify Causal Features in Few-shot Learning. CoRR Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu
2022	A*	`conf`	Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CVPR Yikai Wang, Xinwei Sun, Yanwei Fu
2022	J	`jnl`	Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. CoRR Yikai Wang, Xinwei Sun, Yanwei Fu
2021	J	`jnl`	Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. IEEE Trans. Image Process. Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2021	—	`conf`	CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. MICCAI (5) Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
2021	A*	`conf`	Causal Hidden Markov Model for Time Series Disease Forecasting. CVPR Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang
2021	J	`jnl`	Causal Hidden Markov Model for Time Series Disease Forecasting. CoRR Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang
2021	J	`jnl`	Causally Invariant Predictor with Shift-Robustness. CoRR Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. CoRR Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021	—	`conf`	DAE-GCN: Identifying Disease-Related Features for Disease Prediction. MICCAI (5) Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021	A*	`conf`	Forecasting Irreversible Disease via Progression Learning. CVPR Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang
2021	A*	`conf`	Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2021	A*	`conf`	Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu
2020	J	`jnl`	Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. CoRR Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2020	A*	`conf`	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. ICML Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020	J	`jnl`	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020	J	`jnl`	Disease Forecast via Progression Learning. CoRR Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang
2020	J	`jnl`	Identifying Invariant Texture Violation for Robust Deepfake Detection. CoRR Xinwei Sun, Botong Wu, Wei Chen
2020	J	`jnl`	Latent Causal Invariant Model. CoRR Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu
2020	J	`jnl`	Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2020	J	`jnl`	Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. CoRR Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang
2020	J	`jnl`	Perturbed Amplitude Flow for Phase Retrieval. IEEE Trans. Signal Process. Bing Gao, Xinwei Sun, Yang Wang, Zhiqiang Xu
2020	J	`jnl`	TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2020	—	`conf`	TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2019	A*	`conf`	Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. CVPR Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang
2019	A*	`conf`	Learning With Unsure Data for Medical Image Diagnosis. ICCV Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang
2019	J	`jnl`	Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2019	J	`jnl`	S CoRR Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao
2019	A	`conf`	Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang
2019	A*	`conf`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	A*	`conf`	A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	J	`jnl`	A Margin-based MLE for Crowdsourced Partial Ranking. CoRR Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	—	`conf`	FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. MICCAI (1) Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang
2018	A*	`conf`	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. ICML Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
2018	J	`jnl`	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. CoRR Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
2017	—	`conf`	GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. MICCAI (3) Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
2017	J	`jnl`	Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. CoRR Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang
2016	—	`conf`	Split LBI: An Iterative Regularization Path with Structural Sparsity. NIPS Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao