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ORCIDYu Zhao 0009
Person information
- affiliation: Tencent AI Lab, Shenzhen, China
- affiliation (former): Technical University Munich, Germany
- affiliation (former): Beihang University, School of Electronic and Information Engineering, Beijing, China
Other persons with the same name
- Yu Zhao — disambiguation page
- Yu Zhao 0001 — OGS Industries, Singapore (and 1 more)
- Yu Zhao 0002 — Douban Inc., Beijing, China (and 2 more)
- Yu Zhao 0003 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Yu Zhao 0004 — Beijing Institute of Mechanical and Electrical Engineering, China
- Yu Zhao 0005
![[0000-0001-8300-6747]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8300-6747")
— Nanjing University, School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures, China - Yu Zhao 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yu Zhao 0007 — University of Georgia, Department of Computer Science / Bioimaging Research Center, Athens, GA, USA
- Yu Zhao 0008 — Ningxia Medical University, School of Public Health and Management, Yinchuan, China (and 2 more)
- Yu Zhao 0010 — University of Kentucky, Lexington, KY, USA
- Yu Zhao 0011 — Xi'an University of Architecture and Technology, School of Management, Xi'an, China
- Yu Zhao 0012 — Loughborough University, UK
- Yu Zhao 0013 — Harbin Institute of Technology, Space Control and Inertial Technology Research Center, Harbin, China
- Yu Zhao 0014 — Northwestern Polytechnical University in Shenzhen, Research and Development Institute, Shenzhen, China (and 2 more)
- Yu Zhao 0015 — University of California at Berkeley, Department of Mechanical Engineering, Berkely, CA, USA (and 1 more)
- Yu Zhao 0016 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Yu Zhao 0017 — Tianjin University of Technology, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin, China
- Yu Zhao 0018 — Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
- Yu Zhao 0019 — Southwestern University of Finance and Economics, Fintech Innovation Center, Chengdu, China (and 2 more)
- Yu Zhao 0020 — Harbin Institute of Technology, School of Astronautics, Harbin, China
- Yu Zhao 0021 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Yu Zhao 0022 — Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, Netherlands
- Yu Zhao 0023 — Guangdong University of Technology, School of Material and Energy, Guangdong Provincial Key Laboratory of Functional Soft Condensed Matter, Guangzhou, China
- Yu Zhao 0024 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China
- Yu Zhao 0025 — Zhoukou Normal University, School of Computer Science and Technology, Zhoukou, China
- Yu Zhao 0026 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Yu Zhao 0027 — Shanghai Jiao Tong University, Department of Biomedical Engineering, Image-Guided Surgery and Virtual Reality Lab, Shanghai, China
- Yu Zhao 0028 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Yu Zhao 0029 — Motic (Xiamen) Medical Diagnostic Systems Co. Ltd., Xiamen, China
- Yu Zhao 0030 — Syracuse University, Department of EECS, Syracuse, NY, USA
- Yu Zhao 0031 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Yu Zhao 0032 — Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA
- Yu Zhao 0033 — Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
- Yu Zhao 0034 — Chongqing University of Education, School of Mathematics and Information Engineering, Chongqing, China (and 1 more)
- Yu Zhao 0035 — Hamburg University of Technology, Institute of Communications, Hamburg, Germany (and 1 more)
- Yu (Audrey) Zhao (aka: Yu Zhao 0036) — Lamar University, Beaumont, TX, USA (and 1 more)
- Yu Zhao 0037 — California Institute of Technology, Department of Electrical Engineering, Pasadena, CA, USA
- Yu Zhao 0038 — Massey University, Institute of Natural and Mathematical Sciences, Auckland, New Zealand
- Yu Zhao 0039 — World Health Organization, Infectious Hazard Management, Geneva, Switzerland
- Yu Zhao 0040 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 2 more)
- Yu Zhao 0041 — Queen's University, Department of Electrical and Computer Engineering, Kingston, Canada
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2020 – today
- 2024
[i5]Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang:
StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR abs/2402.04779 (2024)- 2023
- [j7]Yu Zhao, Bing He, Zhimeng Xu, Yidan Zhang, Xuan Zhao, Zhi-An Huang, Fan Yang, Liang Wang, Lei Duan, Jiangning Song, Jianhua Yao:
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire. Briefings Bioinform. 24(1) (2023) - [j6]Yu Zhao, Xiaona Su, Weitong Zhang, Sijie Mai, Zhimeng Xu, Chenchen Qin, Rongshan Yu, Bing He, Jianhua Yao:
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. Briefings Bioinform. 24(4) (2023) - [c16]Yang Xiao, Yueshan Huang, Yu Zhao, Fan Xu, Qin Ren, Bing He, Jianhua Yao, Xiao Liu:
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors. BIBM 2023: 69-75 - [c15]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. IJCAI 2023: 4739-4747 - [c14]Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao:
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) 2023: 560-569 - [i4]Mingcai Chen, Yu Zhao, Zhonghuang Wang, Bing He, Jianhua Yao:
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification. CoRR abs/2307.15934 (2023) - 2022
- [j5]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. 38(8): 2178-2186 (2022) - [c13]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 - [c12]Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao:
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. MICCAI (2) 2022: 66-76 - [i3]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) - [i2]Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao:
Learning with Noisy Labels over Imbalanced Subpopulations. CoRR abs/2211.08722 (2022) - 2021
- [c11]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM 2021: 556-561 - [c10]Yu Zhao, Yidan Zhang, Zhi-An Huang, Fan Yang, Lei Duan, Jianhua Yao:
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. BIBM 2021: 608-613 - [c9]Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao:
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) 2021: 206-216 - [c8]Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) 2021: 529-539 - 2020
- [j4]Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze:
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE J. Biomed. Health Informatics 24(9): 2599-2608 (2020) - [c7]Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao:
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. CVPR 2020: 4836-4845
2010 – 2019
- 2019
- [j3]Shaohua Wan, Yu Zhao, Tian Wang, Zonghua Gu, Qammer H. Abbasi, Kim-Kwang Raymond Choo:
Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things. Future Gener. Comput. Syst. 91: 382-391 (2019) - [j2]Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern H. Menze:
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1363-1373 (2019) - [c6]Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern H. Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi:
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images. EMBC 2019: 951-954 - [c5]Yu Zhao, Ping Wu, Jian Wang, Hongwei Li, Nassir Navab, Igor Yakushev, Wolfgang Weber, Markus Schwaiger, Sung-Cheng Huang, Paul Cumming, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. EMBC 2019: 3531-3534 - [c4]Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze:
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. MICCAI (6) 2019: 22-30 - 2018
- [j1]Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei:
Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing. IEEE Access 6: 68001-68012 (2018) - [c3]Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze:
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. ICPR 2018: 3880-3885 - [c2]Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud:
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. BrainLes@MICCAI (2) 2018: 116-127 - [i1]Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Marie Piraud:
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. CoRR abs/1810.09488 (2018) - 2017
- [c1]Lina Xu, Giles Tetteh, Mona Mustafa, Jana Lipková, Yu Zhao, Marie Bieth, Patrick Ferdinand Christ, Marie Piraud, Bjoern H. Menze, Kuangyu Shi:
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients. CMMI/RAMBO/SWITCH@MICCAI 2017: 23-30
Coauthor Index
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last updated on 2024-04-16 23:14 CEST by the dblp team
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