Chun-Mei Feng

According to our database, Chun-Mei Feng authored at least 63 papers between 2016 and 2025.

Collaborative distances:

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

2025

Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning.

Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

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

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu

IEEE J. Biomed. Health Informatics, August, 2025

Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation.

Chun-Mei Feng, Yuanyang He, Jian Zou, Salman H. Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu

Int. J. Comput. Vis., August, 2025

Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation.

Fan Zhang, Huiying Liu, Qing Cai, Chun-Mei Feng, Binglu Wang, Shanshan Wang, Junyu Dong, David Zhang

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective.

Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations.

Zhihao Yuan, Shuyi Jiang, Chun-Mei Feng, Yaolun Zhang, Shuguang Cui, Zhen Li, Na Zhao

CoRR, June, 2025

Reliable 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

IEEE Trans. Big Data, April, 2025

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

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

IEEE Trans. Neural Networks Learn. Syst., March, 2025

PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models.

Zilu Guo, Hongbin Lin, Zhihao Yuan, Chaoda Zheng, Pengshuo Qiu, Dongzhi Jiang, Renrui Zhang, Chun-Mei Feng, Zhen Li

CoRR, March, 2025

Boost Protein Language Model with Injected Structure Information Through Parameter Efficient Fine-tuning.

Zixun Zhang, Yuzhe Zhou, Jiayou Zheng, Chun-Mei Feng, Shuguang Cui, Sheng Wang, Zhen Li

Comput. Biol. Medicine, 2025

Federated Residual Low-Rank Adaptation of Large Language Models.

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning.

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Empowering Large Language Models with 3D Situation Awareness.

Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective.

Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo

CoRR, 2024

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence.

Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Rick Siow Mong Goh, Yong Liu, 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 Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation.

Jian Zou, Guanglei Yang, Tao Luo, Chun-Mei Feng, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

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