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ORCIDYi Zhou 0007
Person information
- affiliation: Southeast University, Nanjing, Jiangsu, China
- affiliation (former): Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
- affiliation (PhD 2018): University of East Anglia, Norwich, UK
Other persons with the same name
- Yi Zhou — disambiguation page
- Yi Zhou 0001
![[0000-0001-5420-8016]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5420-8016")
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China - Yi Zhou 0002 — Singapore Polytechnic,School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Yi Zhou 0003 — Shanghai Jiao Tong University, Computer Science Department, China
- Yi Zhou 0004 — Henan University, School of Computer and Information Engineering, Kaifeng, China (and 1 more)
- Yi Zhou 0005 — Sun Yat-sen University, Zhongshan School of Medicine, Guangzhou, China
- Yi Zhou 0006 — Monash University, Department of Management, Caulfield East, VIC, Australia (and 1 more)
- Yi Zhou 0008 — Fudan University, Shanghai Engineering Research Center of Ultra Precision Optical Manufacturing, Shanghai, China
- Yi Zhou 0009 — Columbus State University, GA, USA (and 1 more)
- Yi Zhou 0010 — Australian National University, Research School of Engineering, Canberra, ACT, Australia
- Yi Zhou 0011 — Dalian Maritime University, College of Information Science and Technology, China (and 1 more)
- Yi Zhou 0012 — Southwest Jiaotong University, Provincial Key Laboratory of Information Coding and Transmission, Chengdu, China (and 1 more)
- Yi Zhou 0013 — University of Western Sydney, School of Computing, Engineering and Mathematics, Australia
- Yi Zhou 0014 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 2 more)
- Yi Zhou 0015 — IBM Research - Almaden, San Jose, CA, USA
- Yi Zhou 0016 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Yi Zhou 0017 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
- Yi Zhou 0018 — Bytedance AI Lab, China (and 1 more)
- Yi Zhou 0019 — University of Liverpool, UK
- Yi Zhou 0020 — National University of Singapore, Department of Electrical, and Computer Engineering, Singapore
- Yi Zhou 0021 — Hunan University, China (and 1 more)
- Yi Zhou 0022 — Wuhan University of Science and Technology, School of Information Science and Engineering, Engineering Research Center of Metallurgical Automation and Measurement Technology, China
- Yi Zhou 0023 — Adobe, USA (and 2 more)
- Yi Zhou 0024 — Soochow University, School of Electronics and Information Engineering, China
- Yi Zhou 0025 — Carnegie Mellon University, Pittsburgh, PA, USA
- Yi Zhou 0026 — University ofElectronic Science and Technology of China, School of Automation Engineering, China
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2020 – today
- 2025
[j17]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025)- 2024
- [j16]Tao Zhou, Yi Zhou, Guangyu Li, Geng Chen, Jianbing Shen:
Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7440-7453 (2024) - [c25]Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. ICLR 2024 - [c24]Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. MICCAI (8) 2024: 634-644 - [c23]Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou:
TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. MICCAI (11) 2024: 711-722 - [c22]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. MICCAI (1) 2024: 722-732 - [i26]Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu:
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. CoRR abs/2402.02968 (2024) - [i25]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR abs/2405.11793 (2024) - [i24]Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. CoRR abs/2406.19364 (2024) - 2023
- [j15]Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu:
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9(2): 297-317 (2023) - [j14]Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun:
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141: 567-576 (2023) - [j13]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [j12]Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023) - [j11]Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics 27(3): 1409-1418 (2023) - [j10]Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3349-3359 (2023) - [j9]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 42(11): 3395-3407 (2023) - [c21]Yixiao Yuan, Yawen Huang, Yi Zhou:
Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. DGM4MICCAI 2023: 143-153 - [i23]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i22]Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong:
Can SAM Segment Polyps? CoRR abs/2304.07583 (2023) - [i21]Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao:
COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR abs/2308.10450 (2023) - [i20]Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan:
Edge-aware Feature Aggregation Network for Polyp Segmentation. CoRR abs/2309.10523 (2023) - [i19]Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou:
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. CoRR abs/2310.05453 (2023) - [i18]Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu:
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR abs/2311.18373 (2023) - [i17]Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu:
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR abs/2312.00312 (2023) - [i16]Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR abs/2312.16039 (2023) - 2022
- [j8]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 7036-7047 (2022) - [j7]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. IEEE J. Biomed. Health Informatics 26(1): 56-66 (2022) - [c20]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CVPR 2022: 753-762 - [c19]Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu:
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. MICCAI (8) 2022: 682-692 - [i15]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CoRR abs/2203.10778 (2022) - [i14]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR abs/2212.00990 (2022) - [i13]Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR abs/2212.01108 (2022) - 2021
- [j6]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021) - [j5]Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao:
Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging 40(4): 1196-1206 (2021) - [c18]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776 - [c17]Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. AAAI 2021: 1984-1992 - [c16]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c15]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao:
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c14]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. ICCV 2021: 4661-4671 - [c13]Yi Zhou, Lei Huang, Tao Zhou, Ling Shao:
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021: 8240-8250 - [i12]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR abs/2102.13269 (2021) - [i11]Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao:
Specificity-preserving RGB-D Saliency Detection. CoRR abs/2108.08162 (2021) - 2020
- [j4]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging 39(8): 2626-2637 (2020) - [c12]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI 2020: 13066-13073 - [c11]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [i10]Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao:
Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR abs/2003.04253 (2020) - [i9]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020) - [i8]Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao:
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR abs/2004.14133 (2020) - [i7]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR abs/2008.09772 (2020) - [i6]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i5]Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. CoRR abs/2012.05007 (2020)
2010 – 2019
- 2019
- [c10]Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao:
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR 2019: 2079-2088 - [c9]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883 - [c8]Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao:
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR 2019: 7115-7123 - [c7]Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) 2019: 505-513 - [c6]Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao:
DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. MICCAI (1) 2019: 788-796 - [i4]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i3]Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao:
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR abs/1912.04670 (2019) - 2018
- [b1]Yi Zhou:
Deep visual feature learning for vehicle detection, recognition and re-identification. University of East Anglia, Norwich, UK, 2018 - [j3]Li Liu, Yi Zhou, Ling Shao:
Deep Action Parsing in Videos With Large-Scale Synthesized Data. IEEE Trans. Image Process. 27(6): 2869-2882 (2018) - [j2]Yi Zhou, Li Liu, Ling Shao:
Vehicle Re-Identification by Deep Hidden Multi-View Inference. IEEE Trans. Image Process. 27(7): 3275-3287 (2018) - [j1]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
Fast Automatic Vehicle Annotation for Urban Traffic Surveillance. IEEE Trans. Intell. Transp. Syst. 19(6): 1973-1984 (2018) - [c5]Yi Zhou, Ling Shao:
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification. CVPR 2018: 6489-6498 - [c4]Yi Zhou, Ling Shao:
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network. WACV 2018: 653-662 - 2017
- [c3]Yi Zhou, Ling Shao:
Cross-View GAN Based Vehicle Generation for Re-identification. BMVC 2017 - [c2]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, what and how actions occur in videos? ICRA 2017: 138-145 - 2016
- [c1]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. ECCV (2) 2016: 278-293 - [i2]Li Liu, Yi Zhou, Ling Shao:
DAP3D-Net: Where, What and How Actions Occur in Videos? CoRR abs/1602.03346 (2016) - [i1]Yi Zhou, Li Liu, Ling Shao, Matt Mellor:
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. CoRR abs/1607.04564 (2016)
Coauthor Index
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