Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. - Ling-Yun Dai; Chun-Mei Feng 001; Jin-Xing Liu 001; Chun-Hou Zheng 001; Mi-Xiao Hou; Jiguo Yu (BIBM, 2016)

A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. - Chun-Mei Feng 001; Jin-Xing Liu 001; Ying-Lian Gao; Juan Wang 003; Dong-Qin Wang; Yong Du (BIBM, 2016)

A Simple Review of Sparse Principal Components Analysis. - Chun-Mei Feng 001; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Shengjun Li; Dong Wang 019 (ICIC (2), 2016)

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. - Ling-Yun Dai; Jin-Xing Liu 001; Chun-Hou Zheng 001; Junliang Shang; Chun-Mei Feng 001; Yaxuan Wang (BIBM, 2017)

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. - Ming-Juan Wu; Jin-Xing Liu 001; Ying-Lian Gao; Xiangzhen Kong; Chun-Mei Feng 001 (BIBM, 2017)

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. - Ling-Yun Dai; Chun-Mei Feng 001; Jin-Xing Liu 001; Chun-Hou Zheng 001; Jiguo Yu; Mi-Xiao Hou (Complex., 2017)

Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. - Jin-Xing Liu 001; Chun-Mei Feng 001; Xiang-Zhen Kong; Yong Xu 001 (IEEE Access, 2019)

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. - Chun-Mei Feng 001; Yong Xu 001; Mi-Xiao Hou; Ling-Yun Dai; Junliang Shang (BMC Bioinform., 2019)

Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. - Chun-Mei Feng 001; Yong Xu 001; Zuoyong Li; Jian Yang 003 (CoRR, 2019)

Coupled-Projection Residual Network for MRI Super-Resolution. - Chun-Mei Feng 001; Kai Wang 036; Shijian Lu; Yong Xu 001; Heng Kong; Ling Shao 001 (CoRR, 2019)

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. - Chun-Mei Feng 001; Yong Xu 001; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Geng Chen 001; Yong Xu 001; Ling Shao 001 (AAAI, 2021)

Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. - Chun-Mei Feng 001; Huazhu Fu; Shuhao Yuan; Yong Xu 001 (MICCAI (6), 2021)

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Li Chen 011; Yong Xu 001 (MICCAI (6), 2021)

Accelerated Multi-Modal MR Imaging with Transformers. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Chengliang Liu 003; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Multi-modal Aggregation Network for Fast MR Imaging. - Chun-Mei Feng 001; Huazhu Fu; Tianfei Zhou; Yong Xu 001; Ling Shao 001; David Zhang 001 (CoRR, 2021)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Brain MRI super-resolution using coupled-projection residual network. - Chun-Mei Feng 001; Kai Wang 036; Shijian Lu; Yong Xu 001; Xuelong Li 001 (Neurocomputing, 2021)

Prompt-driven efficient Open-set Semi-supervised Learning. - Haoran Li; Chun-Mei Feng 001; Tao Zhou 002; Yong Xu 001; Xiaojun Chang (CoRR, 2022)

Group-Wise Learning for Weakly Supervised Semantic Segmentation. - Tianfei Zhou; Liulei Li; Xueyi Li 006; Chun-Mei Feng 001; Jianwu Li; Ling Shao 001 (IEEE Trans. Image Process., 2022)

Learning Federated Visual Prompt in Null Space for MRI Reconstruction. - Chun-Mei Feng 001; Bangjun Li; Xinxing Xu; Yong Liu 026; Huazhu Fu; Wangmeng Zuo (CVPR, 2023)

Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. - Ruohao Wang; Xiaohui Liu 003; Zhilu Zhang 001; Xiaohe Wu; Chun-Mei Feng 001; Lei Zhang 006; Wangmeng Zuo (CVPR Workshops, 2023)

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. - Chun-Mei Feng 001; Kai Yu 009; Yong Liu 026; Salman Khan 001; Wangmeng Zuo (ICCV, 2023)

Towards Instance-adaptive Inference for Federated Learning. - Chun-Mei Feng 001; Kai Yu 009; Nian Liu; Xinxing Xu; Salman Khan 001; Wangmeng Zuo (ICCV, 2023)

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 001; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

Rethinking Client Drift in Federated Learning: A Logit Perspective. - Yunlu Yan; Chun-Mei Feng 001; Mang Ye; Wangmeng Zuo; Ping Li 016; Rick Siow Mong Goh; Lei Zhu 003; C. L. Philip Chen (CoRR, 2023)

COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. - Xinghong Liu; Yi Zhou 007; Tao Zhou 002; Chun-Mei Feng 001; Ling Shao 001 (CoRR, 2023)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Rick Siow Mong Goh; Lei Zhu 003 (CoRR, 2023)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman Khan 001; Wangmeng Zuo; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2023)

Zero-Shot Camouflaged Object Detection. - Haoran Li; Chun-Mei Feng 001; Yong Xu 001; Tao Zhou 002; Lina Yao 001; Xiaojun Chang (IEEE Trans. Image Process., 2023)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Shanshan Wang 002; Yong Xu 001; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Multimodal Transformer for Accelerated MR Imaging. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Yong Xu 001; Ying Hu; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Let Video Teaches You More: Video-to-Image Knowledge Distillation using Detection TRansformer for Medical Video Lesion Detection. - Yuncheng Jiang; Zixun Zhang; Jun Wei 006; Chun-Mei Feng 001; Guanbin Li; Xiang Wan; Shuguang Cui; Zhen Li 026 (BIBM, 2024)

Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding. - Zhihao Yuan; Jinke Ren; Chun-Mei Feng 001; Hengshuang Zhao; Shuguang Cui; Zhen Li 026 (CVPR, 2024)

UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving. - Jian Zou 005; Tianyu Huang; Guanglei Yang; Zhenhua Guo 001; Tao Luo 014; Chun-Mei Feng 001; Wangmeng Zuo (ECCV (22), 2024)

ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation. - Jian Zou 005; Guanglei Yang; Tao Luo 014; Chun-Mei Feng 001; Wangmeng Zuo (ECCV Workshops (7), 2024)

Sentence-level Prompts Benefit Composed Image Retrieval. - Yang Bai; Xinxing Xu; Yong Liu 026; Salman Khan 001; Fahad Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Chun-Mei Feng 001 (ICLR, 2024)

Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models. - Chun-Mei Feng 001 (MICCAI (8), 2024)

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. - Yuncheng Jiang; Yiwen Hu 001; Zixun Zhang; Jun Wei 006; Chun-Mei Feng 001; Xuemei Tang; Xiang Wan; Yong Liu 026; Shuguang Cui; Zhen Li 026 (MICCAI (8), 2024)

A New Perspective to Boost Performance Fairness For Medical Federated Learning. - Yunlu Yan; Lei Zhu 003; Yuexiang Li; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Salman H. Khan 001; Chun-Mei Feng 001 (MICCAI (10), 2024)

Class Balance Matters to Active Class-Incremental Learning. - Zitong Huang; Ze Chen; Yuanze Li; Bowen Dong; Erjin Zhou; Yong Liu 026; Rick Siow Mong Goh; Chun-Mei Feng 001; Wangmeng Zuo (ACM Multimedia, 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 026; Chun-Mei Feng 001; Wangmeng Zuo (CoRR, 2024)

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition. - Bingbing Wang; Bin Liang 004; Chun-Mei Feng 001; Wangmeng Zuo; Zhixin Bai; Shijue Huang; Kam-Fai Wong; Ruifeng Xu 001 (CoRR, 2024)

CPT: Consistent Proxy Tuning for Black-box Optimization. - Yuanyang He; Zitong Huang; Xinxing Xu; Rick Siow Mong Goh; Salman Khan 001; Wangmeng Zuo; Yong Liu 026; Chun-Mei Feng 001 (CoRR, 2024)

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. - Yuncheng Jiang; Chun-Mei Feng 001; Jinke Ren; Jun Wei 006; Zixun Zhang; Yiwen Hu 001; Yunbi Liu; Rui Sun; Xuemei Tang; Juan Du; Xiang Wan; Yong Xu 001; et al. (CoRR, 2024)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (CoRR, 2024)

Multi-Contrast Complementary Learning for Accelerated MR Imaging. - Bangjun Li; Weifeng Hu; Chun-Mei Feng 001; Yujun Li; Zhi Liu 004; Yong Xu 001 (IEEE J. Biomed. Health Informatics, 2024)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Kai Yu 009; Yong Xu 001; Huazhu Fu; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman H. Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (AAAI, 2025)

Empowering Large Language Models with 3D Situation Awareness. - Zhihao Yuan; Yibo Peng; Jinke Ren; Yinghong Liao; Yatong Han; Chun-Mei Feng 001; Hengshuang Zhao; Guanbin Li; Shuguang Cui; Zhen Li 026 (CVPR, 2025)

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. - Yunlu Yan; Chun-Mei Feng 001; Wangmeng Zuo; Salman H. Khan 001; Yong Liu 026; Lei Zhu 003 (ICLR, 2025)

Federated Residual Low-Rank Adaptation of Large Language Models. - Yunlu Yan; Chun-Mei Feng 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026; Lei Zhu 003 (ICLR, 2025)

Boost Protein Language Model with Injected Structure Information Through Parameter Efficient Fine-tuning. - Zixun Zhang; Yuzhe Zhou; Jiayou Zheng; Chun-Mei Feng 001; Shuguang Cui; Sheng Wang 014; Zhen Li 026 (Comput. Biol. Medicine, 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 001; Zhen Li 026 (CoRR, 2025)

DONet: Dual-Octave Network for Fast MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Huazhu Fu; Yong Xu 001; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reliable Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 038; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (IEEE Trans. Big Data, 2025)

Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations. - Zhihao Yuan; Shuyi Jiang; Chun-Mei Feng 001; Yaolun Zhang; Shuguang Cui; Zhen Li 026; Na Zhao (CoRR, 2025)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation. - Fan Zhang 070; Huiying Liu; Qing Cai; Chun-Mei Feng 001; Binglu Wang; Shanshan Wang 002; Junyu Dong; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. - Chun-Mei Feng 001; Yuanyang He; Jian Zou 005; Salman H. Khan 001; Huan Xiong; Zhen Li 026; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (Int. J. Comput. Vis., 2025)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Ping Li 016; Rick Siow Mong Goh; Baiying Lei; Weiming Wang 002; David Dagan Feng; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2025)

Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. - Chun-Mei Feng 001; Kai Yu 009; Xinxing Xu; Salman Khan 001; Rick Siow Mong Goh; Wangmeng Zuo; Yong Liu 026 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)