Chun-Mei Feng

According to our database, Chun-Mei Feng authored at least 48 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Multi-Contrast Complementary Learning for Accelerated MR Imaging.

Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu

IEEE J. Biomed. Health Informatics, March, 2024

GAN inversion-based semi-supervised learning for medical image segmentation.

Xin Feng, Jianyong Lin, Chun-Mei Feng, Guangming Lu

Biomed. Signal Process. Control., February, 2024

Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection.

Yuncheng Jiang, Zixun Zhang, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li

CoRR, 2024

CPT: Consistent Proxy Tuning for Black-box Optimization.

Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng

CoRR, 2024

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition.

Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu

CoRR, 2024

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.

Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo

CoRR, 2024

Class Balance Matters to Active Class-Incremental Learning.

Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A New Perspective to Boost Performance Fairness For Medical Federated Learning.

Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development.

Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models.

Chun-Mei Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Sentence-level Prompts Benefit Composed Image Retrieval.

Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UniM²AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving.

Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, Tao Luo, Chun-Mei Feng, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2024, 2024

Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding.

Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multimodal Transformer for Accelerated MR Imaging.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, October, 2023

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu

IEEE Trans. Medical Imaging, 2023

Zero-Shot Camouflaged Object Detection.

Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang

IEEE Trans. Image Process., 2023

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.

Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

CoRR, 2023

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu

CoRR, 2023

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype.

Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao

CoRR, 2023

Rethinking Client Drift in Federated Learning: A Logit Perspective.

Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen

CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.

Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu

CoRR, 2023

Towards Instance-adaptive Inference for Federated Learning.

Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.

Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution.

Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction.

Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Group-Wise Learning for Weakly Supervised Semantic Segmentation.

Tianfei Zhou, Liulei Li, Xueyi Li, Chun-Mei Feng, Jianwu Li, Ling Shao

IEEE Trans. Image Process., 2022

Prompt-driven efficient Open-set Semi-supervised Learning.

Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang

CoRR, 2022

2021

Brain MRI super-resolution using coupled-projection residual network.

Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li

Neurocomputing, 2021

Specificity-Preserving Federated Learning for MR Image Reconstruction.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Multi-modal Aggregation Network for Fast MR Imaging.

Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang

CoRR, 2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

Accelerated Multi-Modal MR Imaging with Transformers.

Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao

CoRR, 2021

DONet: Dual-Octave Network for Fast MR Image Reconstruction.

Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao

CoRR, 2021

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution.

Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network.

Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction.

Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.

Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

Coupled-Projection Residual Network for MRI Super-Resolution.

Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao

CoRR, 2019

Robust Classification with Sparse Representation Fusion on Diverse Data Subsets.

Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang

CoRR, 2019

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.

Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang

BMC Bioinform., 2019

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data.

Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu

IEEE Access, 2019

2017

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.

Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou

Complex., 2017

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm.

Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.

Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

A Simple Review of Sparse Principal Components Analysis.

Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang

Proceedings of the Intelligent Computing Theories and Application, 2016

A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection.

Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.

Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016