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ORCIDHao Yang 0026
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
Other persons with the same name
- Hao Yang — disambiguation page
- Hao Yang 0001
![[0000-0003-1914-084X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1914-084X")
— Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 2 more) - Hao Yang 0002 — Yancheng Teachers University, School of Information Engineering, China
- Hao Yang 0003 — Nantong University, China (and 2 more)
- Hao Yang 0004 — Nokia Research Center, White Plains, NY, USA (and 2 more)
- Hao Yang 0005 — Soochow University, Robotics and Microsystems Center, College of Mechanical and Electrical Engineering, China (and 1 more)
- Hao Yang 0006 — Huawei Technologies, 2012 Labs, Beijing, China (and 2 more)
- Hao Yang 0007 — Visa Research, Palo Alto, CA, USA
- Hao Yang 0008 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, China
- Hao Yang 0009 — Beijing Academy of Agriculture and Forestry Sciences, Beijing Research Center for Information Technology in Agriculture, Key Laboratory of Quantitative Remote Sensing in Agriculture, Beijing, China
- Hao Yang 0010 — Nuctech Company Ltd., R&D Center of Artificial Intelligent, Beijing, China (and 1 more)
- Hao Yang 0011 — Worcester Polytechnic Institute, Robotics Engineering Department, Worcester, MA, USA
- Hao Yang 0012 — Anhui University of Technology, School of Mechanical Engineering, Maanshan, China
- Hao Yang 0013 — State Grid Jiangxi Electric Power Research Institute, Nanchang, Chian
- Hao Yang 0014 — Shanghai Jiao tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Hao Yang 0015 — Southeast University, School of Computer Science and Engineering, China Key Laboratory of Computer Network and Information Integration, Nanjing, China
- Hao Yang 0016 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Hao Yang 0017 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Hao (Frank) Yang (aka: Hao Yang 0018) — University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, USA (and 2 more)
- Hao Yang 0019 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more)
- Hao Yang 0020 — University of Electronic Science and Technology of China (UESTC), Chengdu, China
- Hao Yang 0021 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Hao Yang 0022 — Chengdu University of Information Technology, School of Computing Science, Chengdu, China
- Hao Yang 0023 — University of Leicester, School of Engineering, Aerospace and Computational Engineering Research Group, Leicester, UK
- Hao Yang 0024 — Guangdong University of Technology, College of Computer, Guangzhou, China
- Hao Yang 0025 — McMaster University, Department of Civil Engineering, Hamilton, Canada (and 3 more)
- Hao Yang 0027 — Nanchang University, School of Information Engineering, Nanchang, China
- Hao Yang 0028 — Fuzhou University, College of Electrical Engineering and Automation, Fujian Key Laboratory of Medical Instrumentation and Pharmaceutical Technology, Fuzhou, China
- Hao Yang 0029 — University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, CA, USA
- Hao Yang 0030 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Hao Yang 0031 — Army Academy of Armored Forces, Department of Arms and Control Engineering, Beijing, China
- Hao Yang 0032 — Beihang University, School of Automation Sciences and Electrical Engineering, Beijing, China
- Hao Yang 0033 — Amazon, Seattle, WA, USA (and 1 more)
- Hao Yang 0034 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Hao Yang 0035 — Sichuan University, West China Hospital, Key Lab of Transplant Engineering and Immunology, Chengdu, China
- Hao Yang 0036 — Microsoft Research Asia, Visual Computing Group, Beijing, China (and 1 more)
- Hao Yang 0037 — Alibaba Group, Hangzhou, China
- Hao Yang 0039 — Amazon, Vancouver, Canada (and 1 more)
- Hao Yang 0040 — Yunnan University, School of Information Science and Engineering, Kunming, China
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2020 – today
- 2024
[i11]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang:
Multimodal self-supervised learning for lesion localization. CoRR abs/2401.01524 (2024)- [i10]Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang:
Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR abs/2401.01583 (2024) - [i9]Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang:
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR abs/2401.01591 (2024) - [i8]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang:
Generalizable vision-language pre-training for annotation-free pathology localization. CoRR abs/2401.02044 (2024) - [i7]Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. CoRR abs/2401.11421 (2024) - 2023
- [i6]Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang:
MGA: Medical generalist agent through text-guided knowledge transformation. CoRR abs/2303.08562 (2023) - [i5]Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang:
Few-shot Class-incremental Learning for Cross-domain Disease Classification. CoRR abs/2304.05734 (2023) - [i4]Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang:
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. CoRR abs/2309.05904 (2023) - 2021
- [j2]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40(10): 2589-2599 (2021) - 2020
- [i3]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR abs/2008.01896 (2020)
2010 – 2019
- 2019
- [j1]Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang:
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7: 178486-178495 (2019) - [c2]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [c1]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) 2019: 266-274 - [i2]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i1]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR abs/1907.07008 (2019)
Coauthor Index
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last updated on 2024-07-25 22:16 CEST by the dblp team
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