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2020 – today
- 2024
[j12]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): 105536 (2024)- [j11]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): 1436-1447 (2024) - [j10]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [c19]Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li:
Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding. CVPR 2024: 20623-20633 - [c18]Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, Tao Luo, Chun-Mei Feng, Wangmeng Zuo:
UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving. ECCV (22) 2024: 296-313 - [c17]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 - [c16]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23 - [c15]Chun-Mei Feng:
Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models. MICCAI (8) 2024: 253-262 - [c14]Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li:
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. MICCAI (8) 2024: 732-742 - [c13]Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo:
Class Balance Matters to Active Class-Incremental Learning. ACM Multimedia 2024: 9445-9454 - [i31]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 abs/2401.01598 (2024) - [i30]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 abs/2403.05428 (2024) - [i29]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 abs/2407.01155 (2024) - [i28]Chun-Mei Feng:
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models. CoRR abs/2407.05323 (2024) - [i27]Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li:
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. CoRR abs/2408.10067 (2024) - [i26]Yuncheng Jiang, Zixun Zhang, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li:
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection. CoRR abs/2408.14051 (2024) - [i25]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR abs/2410.19765 (2024) - 2023
- [j9]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j8]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): 2010-2021 (2023) - [j7]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): 2804-2816 (2023) - [c12]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: 1168-1177 - [c11]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: 8064-8073 - [c10]Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. ICCV 2023: 2704-2714 - [c9]Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. ICCV 2023: 23230-23239 - [i24]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 abs/2301.12798 (2023) - [i23]Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR abs/2303.16181 (2023) - [i22]Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR abs/2308.06038 (2023) - [i21]Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. CoRR abs/2308.06051 (2023) - [i20]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 abs/2308.10162 (2023) - [i19]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) - [i18]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR abs/2308.10910 (2023) - [i17]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. CoRR abs/2310.05473 (2023) - [i16]Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li:
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding. CoRR abs/2311.15383 (2023) - [i15]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 abs/2312.12273 (2023) - 2022
- [j6]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: 799-811 (2022) - [i14]Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang:
Prompt-driven efficient Open-set Semi-supervised Learning. CoRR abs/2209.14205 (2022) - [i13]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 abs/2212.05342 (2022) - 2021
- [j5]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li:
Brain MRI super-resolution using coupled-projection residual network. Neurocomputing 456: 190-199 (2021) - [c8]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI 2021: 116-124 - [c7]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) 2021: 140-149 - [c6]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) 2021: 307-317 - [i12]Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR abs/2104.05345 (2021) - [i11]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR abs/2105.05980 (2021) - [i10]Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu:
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR abs/2105.08949 (2021) - [i9]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu:
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR abs/2106.06742 (2021) - [i8]Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao:
Accelerated Multi-Modal MR Imaging with Transformers. CoRR abs/2106.14248 (2021) - [i7]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021) - [i6]Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang:
Multi-modal Aggregation Network for Fast MR Imaging. CoRR abs/2110.08080 (2021) - [i5]Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao:
Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR abs/2112.05752 (2021)
2010 – 2019
- 2019
- [j4]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: 151329-151338 (2019) - [j3]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. 20-S(22): 716 (2019) - [j2]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): 2926-2937 (2019) - [i4]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 abs/1901.06794 (2019) - [i3]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 abs/1905.11837 (2019) - [i2]Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang:
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR abs/1906.11885 (2019) - [i1]Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao:
Coupled-Projection Residual Network for MRI Super-Resolution. CoRR abs/1907.05598 (2019) - 2017
- [j1]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: 4216797:1-4216797:11 (2017) - [c5]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: 1741-1745 - [c4]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: 1900-1905 - 2016
- [c3]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: 1253-1258 - [c2]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: 1795-1799 - [c1]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: 374-383
Coauthor Index
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