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Yao Zhang
Exploring Instance-Level Uncertainty for Medical Detection

Jan 09, 2021
Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He


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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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Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Dec 22, 2020
Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

* Preprint of accepted AAAI2021 paper 
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Argument Mining Driven Analysis of Peer-Reviews

Dec 10, 2020
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl


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Learning outside the Black-Box: The pursuit of interpretable models

Nov 17, 2020
Jonathan Crabbé, Yao Zhang, William Zame, Mihaela van der Schaar

* presented in 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 
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AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

Oct 28, 2020
Jun Ma, Yao Zhang, Song Gu, Yichi Zhang, Cheng Zhu, Qiyuan Wang, Xin Liu, Xingle An, Cheng Ge, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Congcong Wang, Jian He, Xiaoping Yang

* 18 pages 
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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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GMH: A General Multi-hop Reasoning Model for KG Completion

Oct 16, 2020
Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Adam Jatowt, Wenqiang Lei, Zhenglu Yang

* 11 pages, 5 figures and 4 tables 
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Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

Oct 08, 2020
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

* To appear at ICDM 2020 
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CASTLE: Regularization via Auxiliary Causal Graph Discovery

Sep 28, 2020
Trent Kyono, Yao Zhang, Mihaela van der Schaar


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Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations

Aug 11, 2020
Yongchao Liu, Yue Jin, Yong Chen, Teng Teng, Hang Ou, Rui Zhao, Yao Zhang

* 10 pages, 3 figures 
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Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation

Jul 17, 2020
Feiyu Yang, Zhan Song, Zhenzhong Xiao, Yu Chen, Zhe Pan, Min Zhang, Min Xue, Yaoyang Mo, Yao Zhang, Guoxiong Guan, Beibei Qian

* Improve the state-of-the-art of COCO keypoint detection challenge by 1-2 AP. Project page: https://github.com/fyang235/DAEC 
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AutoNCP: Automated pipelines for accurate confidence intervals

Jun 24, 2020
Yao Zhang, William Zame, Mihaela van der Schaar


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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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Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

Jun 14, 2020
Hyun-Suk Lee, Yao Zhang, William Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar

* 17 pages, 5 figures 
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Learning Overlapping Representations for the Estimation of Individualized Treatment Effects

Feb 17, 2020
Yao Zhang, Alexis Bellot, Mihaela van der Schaar

* Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 
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Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning

Feb 14, 2020
Yao Zhang, Daniel Jarrett, Mihaela van der Schaar

* Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 
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Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network

Feb 07, 2020
Zhe Ma, Jianfeng Dong, Yao Zhang, Zhongzi Long, Yuan He, Hui Xue, Shouling Ji

* 16 pages, 13 figutes. Accepted by AAAI 2020. Code and data are available at https://github.com/Maryeon/asen 
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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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Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database

Nov 01, 2019
Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He


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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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