Yao Zhang - RankMe

56 papers A* 2B 2Misc 1Journal 42Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes. AAAI Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2025	J	`jnl`	DomainVerse: A Benchmark Towards Real-World Distribution Shifts for Training-Free Adaptive Domain Generalization. IEEE Trans. Multim. Feng Hou, Jin Yuan, Ying Yang, Yao Zhang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He, Yong Rui
2025	J	`jnl`	Gradient-aware domain-invariant learning for domain generalization. Multim. Syst. Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2025	J	`jnl`	Hypertasking: From Information Web to Computing Utility. J. Comput. Sci. Technol. Zhi-Wei Xu, Zi-Shu Yu, Feng-Zhi Li, Yao Zhang
2025	J	`jnl`	Large-vocabulary segmentation for medical images with text prompts. npj Digit. Medicine Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Xiao Zhou, Ya Zhang, Yanfeng Wang, Weidi Xie
2025	J	`jnl`	Mask Consistency Regularization in Object Removal. CoRR Hua Yuan, Jin Yuan, Yicheng Jiang, Yao Zhang, Xin Geng, Yong Rui
2025	J	`jnl`	RECIST IEEE Trans. Image Process. Rushi Jiao, Qiuping Liu, Yao Zhang, Bangzheng Pu, Bingsen Xue, Yi Cheng, Kailan Yang, Xisheng Liu, Jinrong Qu, Cheng Jin, Ya Zhang, Yanfeng Wang, Yu-Dong Zhang
2025	J	`jnl`	REFINE-CONTROL: A Semi-supervised Distillation Method For Conditional Image Generation. CoRR Yicheng Jiang, Jin Yuan, Hua Yuan, Yao Zhang, Yong Rui
2025	J	`jnl`	UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training. Comput. Medical Imaging Graph. Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yan-Ning Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang
2024	J	`jnl`	A Survey of Visual Transformers. IEEE Trans. Neural Networks Learn. Syst. Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2024	J	`jnl`	Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge. CoRR Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Ershuai Wang, Qin Zhou, Ziyan Huang, Pengju Lyu, Jian He, Bo Wang
2024	J	`jnl`	Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR 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
2023	J	`jnl`	Balanced masking strategy for multi-label image classification. Neurocomputing Jin Yuan, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2023	J	`jnl`	Graph Attention Transformer Network for Multi-label Image Classification. ACM Trans. Multim. Comput. Commun. Appl. Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2023	Misc	`conf`	Learning How to Learn Domain-Invariant Parameters for Domain Generalization. ICASSP Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2023	J	`jnl`	MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR 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.
2023	J	`jnl`	One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts. CoRR Ziheng Zhao, Yao Zhang, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
2023	A*	`conf`	SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CVPR Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2023	J	`jnl`	The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR 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
2023	J	`jnl`	UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. CoRR Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. CoRR 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, FLARE Challenge Consortium, Bo Wang
2022	J	`jnl`	AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? IEEE Trans. Pattern Anal. Mach. Intell. 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
2022	J	`jnl`	Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images. CoRR Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2022	J	`jnl`	Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. 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
2022	J	`jnl`	Graph Attention Transformer Network for Multi-Label Image Classification. CoRR Jin Yuan, Shikai Chen, Yao Zhang, Zhongchao Shi, Xin Geng, Jianping Fan, Yong Rui
2022	J	`jnl`	Learning to Learn Domain-invariant Parameters for Domain Generalization. CoRR Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2022	—	`conf`	ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. MICCAI (2) Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
2022	J	`jnl`	ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification. CoRR Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao
2022	J	`jnl`	SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency. CoRR Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He
2022	—	`conf`	mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng
2022	J	`jnl`	mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. CoRR Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng
2021	J	`jnl`	A Survey of Visual Transformers. CoRR Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He
2021	J	`jnl`	Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation. Comput. Methods Programs Biomed. Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2021	—	`conf`	Exploring Instance-Level Uncertainty for Medical Detection. ISBI Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He
2021	—	`conf`	Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation. MICCAI (1) Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He
2021	J	`jnl`	Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation. CoRR Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He
2021	J	`jnl`	Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Anal. 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 J. Weight
2021	—	`conf`	TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. MICCAI (1) Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He
2021	J	`jnl`	TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. CoRR Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He
2020	J	`jnl`	AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? CoRR 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
2020	B	`conf`	DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume. ICPR Yao Zhang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He
2020	J	`jnl`	Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation. CoRR Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020	—	`conf`	Double-Uncertainty Weighted Method for Semi-supervised Learning. MICCAI (1) Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020	J	`jnl`	Double-Uncertainty Weighted Method for Semi-supervised Learning. CoRR Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
2020	J	`jnl`	Exploring Instance-Level Uncertainty for Medical Detection. CoRR Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He
2020	—	`conf`	FGB: Feature Guidance Branch for Organ Detection in Medical Images. ISBI Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He
2020	—	`conf`	Modality-Pairing Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020	J	`jnl`	Modality-Pairing Learning for Brain Tumor Segmentation. CoRR Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020	—	`conf`	Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. M&Ms and EMIDEC/STACOM@MICCAI Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2020	J	`jnl`	Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. CoRR Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
2019	J	`jnl`	Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes. CoRR Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong
2019	J	`jnl`	Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database. CoRR Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He
2019	J	`jnl`	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. CoRR 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 J. Weight, Nikolaos Papanikolopoulos
2018	J	`jnl`	Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure. IEEE Access Yaowei Li, Yao Zhang, Lina Zhao, Yang Zhang, Chengyu Liu, Li Zhang, Liuxin Zhang, Zhensheng Li, Binhua Wang, Eyk Ng, Jianqing Li, Zhiqiang He
2018	B	`conf`	SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation. ICPR Yao Zhang, Xuan Jiang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhensheng Li, Zhiqiang He