Yi Zhou - RankMe

94 papers A* 16A 2B 1Journal 62Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation. AAAI Kaiwen Huang, Yizhe Zhang, Yi Zhou, Tianyang Xu, Tao Zhou
2026	J	`jnl`	Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation. CoRR Kaiwen Huang, Yizhe Zhang, Yi Zhou, Tianyang Xu, Tao Zhou
2026	J	`jnl`	CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning. CoRR Yuxin Xie, Yuming Chen, Yishan Yang, Yi Zhou, Tao Zhou, Zhen Zhao, Jiacheng Liu, Huazhu Fu
2026	J	`jnl`	Learning geometric and visual features for medical image segmentation with vision GNN. Comput. Medical Imaging Graph. Xinhong Li, Geng Chen, Yuanfeng Wu, Haotian Jiang, Tao Zhou, Yi Zhou, Wentao Zhu
2026	J	`jnl`	MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration. CoRR Chenran Zhang, Ruiqi Wu, Tao Zhou, Yi Zhou
2026	J	`jnl`	Uncertainty-Guided Prototype Reliability Enhancement Network for Few-Shot Medical Image Segmentation. IEEE Trans. Medical Imaging Junfei Hu, Tao Zhou, Kaiwen Huang, Yi Zhou, Haofeng Zhang, Boqiang Fan, Huazhu Fu
2025	J	`jnl`	A survey on deep learning for polyp segmentation: techniques, challenges and future trends. Vis. Intell. Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu
2025	J	`jnl`	Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning. CoRR Ruiqi Wu, Yuang Yao, Tengfei Ma, Chenran Zhang, Na Su, Tao Zhou, Geng Chen, Wen Fan, Yi Zhou
2025	—	`conf`	Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities. MICCAI (5) Yuang Yao, Ruiqi Wu, Yi Zhou, Tao Zhou
2025	J	`jnl`	Domain-Interactive Contrastive Learning and Prototype-Guided Self-Training for Cross-Domain Polyp Segmentation. IEEE Trans. Medical Imaging Ziru Lu, Yizhe Zhang, Yi Zhou, Ye Wu, Tao Zhou
2025	J	`jnl`	Dual Audio-Centric Modality Coupling for Talking Head Generation. CoRR Ao Fu, Ziqi Ni, Yi Zhou
2025	J	`jnl`	Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
2025	J	`jnl`	Edge-aware Feature Aggregation Network for Polyp Segmentation. Mach. Intell. Res. Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan
2025	B	`conf`	FREAK: Frequency-modulated High-fidelity and Real-time Audio-driven Talking Portrait Synthesis. ICMR Ziqi Ni, Ao Fu, Yi Zhou
2025	J	`jnl`	Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Chen Gong, Dong Liang
2025	J	`jnl`	MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining. CoRR Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou, Zhiting Cui, Nianfeng Tang, Tianyu Mao, Yi Zhou, Wen Fan, Tianxing Wu, Shenqi Jing, Huazhu Fu
2025	—	`conf`	Text-Driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. MICCAI (5) Kaiwen Huang, Yi Zhou, Huazhu Fu, Yizhe Zhang, Chen Gong, Tao Zhou
2025	J	`jnl`	Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. CoRR Kaiwen Huang, Yi Zhou, Huazhu Fu, Yizhe Zhang, Chen Gong, Tao Zhou
2025	J	`jnl`	Uncertainty-Aware Cross-Training for Semi-Supervised Medical Image Segmentation. IEEE Trans. Image Process. Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Xiaojun Wu
2025	J	`jnl`	Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation. CoRR Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Xiao-Jun Wu
2025	—	`conf`	Visual Prompting Unsupervised Domain Adaptation for Medical Image Segmentation. ISBI Ziru Lu, Yizhe Zhang, Yi Zhou, Geng Chen, Tao Zhou
2025	J	`jnl`	WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation. Knowl. Based Syst. Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu
2024	J	`jnl`	Delving Into Multi-Modal Multi-Task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. IEEE Trans. Intell. Veh. 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
2024	J	`jnl`	Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives. CoRR 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
2024	J	`jnl`	Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey. CoRR Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao, Qun Li, Guobin Wu, Ling Shao
2024	J	`jnl`	Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation. CoRR Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Chen Gong, Dong Liang
2024	—	`conf`	MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. MICCAI (1) Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu
2024	J	`jnl`	MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu
2024	—	`conf`	MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network. BIBM Xinhong Li, Geng Chen, Yuanfeng Wu, Junqing Yang, Tao Zhou, Yi Zhou, Wentao Zhu
2024	A*	`conf`	Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. ICLR Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou
2024	—	`conf`	SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. MICCAI (8) Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen
2024	J	`jnl`	SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. CoRR Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen
2024	—	`conf`	TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. MICCAI (11) Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou
2024	J	`jnl`	Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. Tao Zhou, Yi Zhou, Guangyu Li, Geng Chen, Jianbing Shen
2023	J	`jnl`	A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu
2023	J	`jnl`	Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng
2023	J	`jnl`	COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao
2023	J	`jnl`	Can SAM Segment Polyps? CoRR Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong
2023	J	`jnl`	Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun
2023	J	`jnl`	Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen
2023	J	`jnl`	Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
2023	J	`jnl`	Edge-aware Feature Aggregation Network for Polyp Segmentation. CoRR Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan
2023	J	`jnl`	Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu
2023	J	`jnl`	Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation. CoRR Yuxiang Lai, Xinghong Liu, Tao Zhou, Yi Zhou
2023	J	`jnl`	Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen
2023	J	`jnl`	Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2023	—	`conf`	Rethinking a Unified Generative Adversarial Model for MRI Modality Completion. DGM4MICCAI Yixiao Yuan, Yawen Huang, Yi Zhou
2023	J	`jnl`	Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu
2023	J	`jnl`	Self-Paced Learning for Open-Set Domain Adaptation. CoRR Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao
2023	J	`jnl`	Specificity-preserving RGB-D saliency detection. Comput. Vis. Media Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu
2022	J	`jnl`	DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. IEEE J. Biomed. Health Informatics Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao
2022	—	`conf`	Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. MICCAI (8) Yi Zhou, Shaochen Bai, Tao Zhou, Yu Zhang, Huazhu Fu
2022	A*	`conf`	Delving into the Estimation Shift of Batch Normalization in a Network. CVPR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	J	`jnl`	Delving into the Estimation Shift of Batch Normalization in a Network. CoRR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	J	`jnl`	Feature Aggregation and Propagation Network for Camouflaged Object Detection. CoRR Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
2022	J	`jnl`	Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
2022	J	`jnl`	SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. CoRR Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen
2021	J	`jnl`	A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
2021	A*	`conf`	CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV Yi Zhou, Lei Huang, Tao Zhou, Ling Shao
2021	J	`jnl`	Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. IEEE Trans. Medical Imaging Yi Zhou, Tianfei Zhou, Tao Zhou, Huazhu Fu, Jiacheng Liu, Ling Shao
2021	A*	`conf`	Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao
2021	A*	`conf`	Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. AAAI Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang
2021	A*	`conf`	Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
2021	J	`jnl`	Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
2021	A*	`conf`	Specificity-preserving RGB-D Saliency Detection. ICCV Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao
2021	J	`jnl`	Specificity-preserving RGB-D Saliency Detection. CoRR Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao
2021	A*	`conf`	Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao
2020	J	`jnl`	A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
2020	A*	`conf`	An Investigation Into the Stochasticity of Batch Whitening. CVPR Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	J	`jnl`	An Investigation into the Stochasticity of Batch Whitening. CoRR Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2020	J	`jnl`	Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. CoRR Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang
2020	J	`jnl`	Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Medical Imaging Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
2020	J	`jnl`	Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. CoRR Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
2020	A*	`conf`	Motion-Attentive Transition for Zero-Shot Video Object Segmentation. AAAI Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao
2020	J	`jnl`	Motion-Attentive Transition for Zero-Shot Video Object Segmentation. CoRR Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao
2020	J	`jnl`	Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2019	A*	`conf`	Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. CVPR Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao
2019	A*	`conf`	Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao
2019	—	`conf`	DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. MICCAI (1) Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao
2019	J	`jnl`	DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images. CoRR Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
2019	—	`conf`	High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. MICCAI (1) Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao
2019	A*	`conf`	Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2019	J	`jnl`	Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
2018	J	`jnl`	Deep Action Parsing in Videos With Large-Scale Synthesized Data. IEEE Trans. Image Process. Li Liu, Yi Zhou, Ling Shao
2018	—	`—`	Deep visual feature learning for vehicle detection, recognition and re-identification. Yi Zhou
2018	J	`jnl`	Fast Automatic Vehicle Annotation for Urban Traffic Surveillance. IEEE Trans. Intell. Transp. Syst. Yi Zhou, Li Liu, Ling Shao, Matt Mellor
2018	A	`conf`	Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network. WACV Yi Zhou, Ling Shao
2018	J	`jnl`	Vehicle Re-Identification by Deep Hidden Multi-View Inference. IEEE Trans. Image Process. Yi Zhou, Li Liu, Ling Shao
2018	A*	`conf`	Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification. CVPR Yi Zhou, Ling Shao
2017	A	`conf`	Cross-View GAN Based Vehicle Generation for Re-identification. BMVC Yi Zhou, Ling Shao
2017	A*	`conf`	DAP3D-Net: Where, what and how actions occur in videos? ICRA Li Liu, Yi Zhou, Ling Shao
2016	J	`jnl`	DAP3D-Net: Where, What and How Actions Occur in Videos? CoRR Li Liu, Yi Zhou, Ling Shao
2016	—	`conf`	DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. ECCV (2) Yi Zhou, Li Liu, Ling Shao, Matt Mellor
2016	J	`jnl`	DAVE: A Unified Framework for Fast Vehicle Detection and Annotation. CoRR Yi Zhou, Li Liu, Ling Shao, Matt Mellor