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Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models


Jan 14, 2022
Yixin Wang, Anthony Degleris, Alex H. Williams, Scott W. Linderman

* 37 pages, 6 figures 

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A Survey of Visual Transformers


Nov 13, 2021
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He


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Identifiable Variational Autoencoders via Sparse Decoding


Oct 20, 2021
Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei


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All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation


Sep 28, 2021
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong

* 10 pages, under review in trans journal 

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Optimization-based Causal Estimation from Heterogenous Environments


Sep 24, 2021
Mingzhang Yin, Yixin Wang, David M. Blei


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Desiderata for Representation Learning: A Causal Perspective


Sep 08, 2021
Yixin Wang, Michael I. Jordan

* 67 pages 

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Learning Equilibria in Matching Markets from Bandit Feedback


Aug 19, 2021
Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt


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ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities


Jun 29, 2021
Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He

* MICCAI 2021 

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Confidence-Guided Radiology Report Generation


Jun 22, 2021
Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

* 16 pages 

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Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation


Jun 03, 2021
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li

* 11 pages, to appear in MICCAI 2021 

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Multi-Source Causal Inference Using Control Variates


Mar 30, 2021
Wenshuo Guo, Serena Wang, Peng Ding, Yixin Wang, Michael I. Jordan


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Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer


Dec 29, 2020
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He


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Double-Uncertainty Weighted Method for Semi-supervised Learning


Oct 19, 2020
Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

* accepted by MICCAI 2020 

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Modality-Pairing Learning for Brain Tumor Segmentation


Oct 19, 2020
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

* 10 pages 

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Point process models for sequence detection in high-dimensional neural spike trains


Oct 10, 2020
Alex H. Williams, Anthony Degleris, Yixin Wang, Scott W. Linderman

* 24 pages, 5 figures 

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Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation


Jun 23, 2020
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

* 9 pages 

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Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation


Apr 27, 2020
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang

* 7 pages 

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Towards Clarifying the Theory of the Deconfounder


Mar 10, 2020
Yixin Wang, David M. Blei


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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge


Dec 02, 2019
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos

* 18 pages, 7 figures 

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The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)


Oct 17, 2019
Yixin Wang, David M. Blei


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Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes


Oct 05, 2019
Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong


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Multiple Causes: A Causal Graphical View


May 30, 2019
Yixin Wang, David M. Blei

* 23 pages 

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Equal Opportunity and Affirmative Action via Counterfactual Predictions


May 29, 2019
Yixin Wang, Dhanya Sridhar, David M. Blei

* 18 pages 

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Variational Bayes under Model Misspecification


May 26, 2019
Yixin Wang, David M. Blei

* 27 pages 

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The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)


Apr 03, 2019
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak


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Using Embeddings to Correct for Unobserved Confounding


Feb 11, 2019
Victor Veitch, Yixin Wang, David M. Blei


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The Deconfounded Recommender: A Causal Inference Approach to Recommendation


Aug 20, 2018
Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

* 14 pages, 3 figures 

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