Chun-Mei Feng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Image Reconstruction

Negative Matrix Factorization

Gene Expression

Top Venues

IEEE Trans. Image Process.

Publications

Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu
Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Chun-Mei Feng
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models. CoRR (2024)
Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR (2024)
Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu
Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition. CoRR (2024)
Xin Feng, Jianyong Lin, Chun-Mei Feng, Guangming Lu
GAN inversion-based semi-supervised learning for medical image segmentation. Biomed. Signal Process. Control. 88 (Part B) (2024)
Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng
CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR (2024)
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR (2024)
Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo
Towards Instance-adaptive Inference for Federated Learning. CoRR (2023)
Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CVPR Workshops (2023)
Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
Rethinking Client Drift in Federated Learning: A Logit Perspective. CoRR (2023)
Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32 (2023)
Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR (2023)
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 (2023)
Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. ICCV (2023)
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR (2023)
Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding. CoRR (2023)
Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo
Towards Instance-adaptive Inference for Federated Learning. ICCV (2023)
Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR (2023)
Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR (2023)
Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42 (10) (2023)
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR (2023)
Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR (2023)
Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42 (7) (2023)
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
Sentence-level Prompts Benefit Composed Image Retrieval. CoRR (2023)
Meng Wang, Kai Yu, Chun-Mei Feng, Ke Zou, Yanyu Xu, Qingquan Meng, Rick Siow Mong Goh, Yong Liu, Xinxing Xu, Huazhu Fu
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images. CoRR (2022)
Tianfei Zhou, Liulei Li, Xueyi Li, Chun-Mei Feng, Jianwu Li, Ling Shao
Group-Wise Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. 31 (2022)
Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CoRR (2022)
Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR (2022)
Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI (2021)
Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR (2021)
Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR (2021)
Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR (2021)
Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR (2021)
Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR (2021)
Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang
Multi-modal Aggregation Network for Fast MR Imaging. CoRR (2021)
Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao
Accelerated Multi-Modal MR Imaging with Transformers. CoRR (2021)
Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR (2021)
Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li
Brain MRI super-resolution using coupled-projection residual network. Neurocomputing 456 (2021)
Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) (2021)
Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) (2021)
Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access 7 (2019)
Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR (2019)
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR (2019)
Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. (22) (2019)
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR (2019)
Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR (2019)
Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM (2017)
Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM (2017)
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. 2017 (2017)
Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang
A Simple Review of Sparse Principal Components Analysis. ICIC (2) (2016)
Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du
A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM (2016)
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM (2016)