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ORCIDYao Zhang 0010
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Computer Science and Technology, Beijing, China
- affiliation: Lenovo Research, AI Lab, Beijing, China
Other persons with the same name
- Yao Zhang — disambiguation page
- Yao Zhang 0001 — University of California, Davis, Department of Electrical and Computer Engineering, CA, USA
- Yao Zhang 0002 — Nanjing University, Jinlin College, China
- Yao Zhang 0003
![[0000-0002-4203-9144]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4203-9144")
— Virginia Tech, Department of Computer Science, Blacksburg, VA, USA - Yao Zhang 0004 — Columbia University, Department of Earth and Environmental Engineering, New York, NY, USA (and 1 more)
- Yao Zhang 0005 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Yao Zhang 0006 — Northeastern University, School of Business Administration, Department of Operations and Logistics Management, Shenyang, China
- Yao Zhang 0007 — Queen Mary University of London, UK
- Yao Zhang 0008 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Yao Zhang 0009 — Fudan University, School of Computer Science, Shanghai, China
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2020 – today
- 2025
[j10]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Gradient-aware domain-invariant learning for domain generalization. Multim. Syst. 31(1): 40 (2025)- 2024
- [j9]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7478-7498 (2024) - [i24]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i23]Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Ershuai Wang, Qin Zhou, Ziyan Huang, Pengju Lyu, Jian He, Bo Wang:
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge. CoRR abs/2408.12534 (2024) - 2023
- [j8]Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Balanced masking strategy for multi-label image classification. Neurocomputing 522: 64-72 (2023) - [j7]Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Graph Attention Transformer Network for Multi-label Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(4): 150:1-150:16 (2023) - [c13]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CVPR 2023: 15539-15547 - [c12]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning How to Learn Domain-Invariant Parameters for Domain Generalization. ICASSP 2023: 1-5 - [i22]Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, the FLARE Challenge Consortium, Bo Wang:
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. CoRR abs/2308.05862 (2023) - [i21]Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang:
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR abs/2308.05864 (2023) - [i20]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - [i19]Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang:
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. CoRR abs/2309.06828 (2023) - [i18]Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie:
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts. CoRR abs/2312.17183 (2023) - 2022
- [j6]Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Stern, Edward G. A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang:
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. 82: 102616 (2022) - [j5]Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang:
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6695-6714 (2022) - [c11]Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao:
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. MICCAI (2) 2022: 35-45 - [c10]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) 2022: 107-117 - [i17]Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui:
Graph Attention Transformer Network for Multi-Label Image Classification. CoRR abs/2203.04049 (2022) - [i16]Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images. CoRR abs/2205.13199 (2022) - [i15]Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. CoRR abs/2206.02425 (2022) - [i14]Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao:
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification. CoRR abs/2207.01805 (2022) - [i13]Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He:
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CoRR abs/2211.02006 (2022) - [i12]Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
Learning to Learn Domain-invariant Parameters for Domain Generalization. CoRR abs/2211.04582 (2022) - 2021
- [j4]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. Comput. Methods Programs Biomed. 202: 106004 (2021) - [j3]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, Christopher Weight:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 67: 101821 (2021) - [j2]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c9]Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He:
Exploring Instance-Level Uncertainty for Medical Detection. ISBI 2021: 448-452 - [c8]Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He:
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. MICCAI (1) 2021: 579-588 - [c7]Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation. MICCAI (1) 2021: 589-599 - [i11]Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation. CoRR abs/2107.09842 (2021) - [i10]Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He:
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. CoRR abs/2107.09843 (2021) - [i9]Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He:
A Survey of Visual Transformers. CoRR abs/2111.06091 (2021) - 2020
- [c6]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 230-240 - [c5]Yao Zhang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He:
DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume. ICPR 2020: 7796-7803 - [c4]Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He:
FGB: Feature Guidance Branch for Organ Detection in Medical Images. ISBI 2020: 349-353 - [c3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI 2020: 219-227 - [c2]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. MICCAI (1) 2020: 542-551 - [i8]Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. CoRR abs/2006.13877 (2020) - [i7]Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-Pairing Learning for Brain Tumor Segmentation. CoRR abs/2010.09277 (2020) - [i6]Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He:
Double-Uncertainty Weighted Method for Semi-supervised Learning. CoRR abs/2010.09298 (2020) - [i5]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:
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? CoRR abs/2010.14808 (2020) - [i4]Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He:
Exploring Instance-Level Uncertainty for Medical Detection. CoRR abs/2012.12880 (2020) - [i3]Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. CoRR abs/2012.14785 (2020)
2010 – 2019
- 2019
- [i2]Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He:
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database. CoRR abs/1911.00282 (2019) - [i1]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, Zachary Edgerton, Ranveer Vasdev, Matthew Peterson, Seán McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos:
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR abs/1912.01054 (2019) - 2018
- [j1]Yaowei Li, Yao Zhang, Lina Zhao, Yang Zhang, Chengyu Liu, Li Zhang, Liuxin Zhang, Zhensheng Li, Binhua Wang, Eyk Ng, Jianqing Li, Zhiqiang He:
Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure. IEEE Access 6: 39734-39744 (2018) - [c1]Yao Zhang, Xuan Jiang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhensheng Li, Zhiqiang He:
SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation. ICPR 2018: 3947-3952
Coauthor Index
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