Chun-Mei Feng - RankMe

89 papers A* 11Journal 62Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive Mask. IEEE Trans. Cybern. Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
2026	J	`jnl`	CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning. CoRR Zhenquan Yao, Zitong Huang, Yihan Zeng, Jianhua Han, Hang Xu, Chun-Mei Feng, Jianwei Ma, Wangmeng Zuo
2026	J	`jnl`	MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents. CoRR Dannong Xu, Zhongyu Yang, Jun Chen, Yingfang Yuan, Ming Hu, Lei Sun, Luc Van Gool, Danda Pani Paudel, Chun-Mei Feng
2025	J	`jnl`	Boost Protein Language Model with Injected Structure Information Through Parameter Efficient Fine-tuning. Comput. Biol. Medicine Zixun Zhang, Yuzhe Zhou, Jiayou Zheng, Chun-Mei Feng, Shuguang Cui, Sheng Wang, Zhen Li
2025	J	`jnl`	DONet: Dual-Octave Network for Fast MR Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
2025	J	`jnl`	Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. Int. J. Comput. Vis. Chun-Mei Feng, Yuanyang He, Jian Zou, Salman H. Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2025	A*	`conf`	Empowering Large Language Models with 3D Situation Awareness. CVPR Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li
2025	J	`jnl`	Empowering Large Language Models with 3D Situation Awareness. CoRR Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li
2025	J	`jnl`	Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Fan Zhang, Huiying Liu, Qing Cai, Chun-Mei Feng, Binglu Wang, Shanshan Wang, Junyu Dong, David Zhang
2025	J	`jnl`	Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE J. Biomed. Health Informatics Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu
2025	A*	`conf`	Federated Residual Low-Rank Adaptation of Large Language Models. ICLR Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu
2025	J	`jnl`	From pretraining to privacy: federated ultrasound foundation model with self-supervised learning. npj Digit. Medicine 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 Kevin Zhou, Shuguang Cui, Zhen Li
2025	—	`conf`	Medical Referring Image Segmentation: Addressing Multi-Lesion Reference and Annotation Uncertainty via Vision-Language Fusion. MLMI@MICCAI Yuanyang He, Chun-Mei Feng, Yang Zhou, Lionel Tim-Ee Cheng, Anh Tran, Gideon Ooi, Choon Hua Thng, Salman H. Khan, Wangmeng Zuo, Yong Liu, Jürgen Schmidhuber
2025	A*	`conf`	On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. ICLR Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu
2025	J	`jnl`	PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models. CoRR Zilu Guo, Hongbin Lin, Zhihao Yuan, Chaoda Zheng, Pengshuo Qiu, Dongzhi Jiang, Renrui Zhang, Chun-Mei Feng, Zhen Li
2025	J	`jnl`	Reliable Federated Disentangling Network for Non-IID Domain Feature. IEEE Trans. Big Data Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
2025	J	`jnl`	Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations. CoRR Zhihao Yuan, Shuyi Jiang, Chun-Mei Feng, Yaolun Zhang, Shuguang Cui, Zhen Li, Na Zhao
2025	—	`conf`	Temporal Model-Based Federated Active Medical Image Classification. MICCAI (14) Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu
2025	J	`jnl`	Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu
2025	J	`jnl`	Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning. CoRR Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu
2025	J	`jnl`	Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. IEEE Trans. Neural Networks Learn. Syst. Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo
2025	A*	`conf`	VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. AAAI Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2024	—	`conf`	A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng
2024	J	`jnl`	A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng
2024	J	`jnl`	CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng
2024	A*	`conf`	Class Balance Matters to Active Class-Incremental Learning. ACM Multimedia Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo
2024	J	`jnl`	Class Balance Matters to Active Class-Incremental Learning. CoRR Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo
2024	J	`jnl`	Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation. CoRR Chun-Mei Feng, Yuanyang He, Jian Zou, Salman Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2024	—	`conf`	Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models. MICCAI (8) Chun-Mei Feng
2024	J	`jnl`	Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models. CoRR Chun-Mei Feng
2024	J	`jnl`	Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao
2024	J	`jnl`	Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo
2024	J	`jnl`	Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection. CoRR Yuncheng Jiang, Zixun Zhang, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li
2024	—	`conf`	Let Video Teaches You More: Video-to-Image Knowledge Distillation using Detection TRansformer for Medical Video Lesion Detection. BIBM Yuncheng Jiang, Zixun Zhang, Jun Wei, Chun-Mei Feng, Guanbin Li, Xiang Wan, Shuguang Cui, Zhen Li
2024	J	`jnl`	Multi-Contrast Complementary Learning for Accelerated MR Imaging. IEEE J. Biomed. Health Informatics Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu
2024	J	`jnl`	Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. CoRR 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
2024	—	`conf`	ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation. ECCV Workshops (7) Jian Zou, Guanglei Yang, Tao Luo, Chun-Mei Feng, Wangmeng Zuo
2024	A*	`conf`	Sentence-level Prompts Benefit Composed Image Retrieval. ICLR Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
2024	J	`jnl`	Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition. CoRR Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu
2024	—	`conf`	Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. MICCAI (8) Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li
2024	J	`jnl`	Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. CoRR Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li
2024	—	`conf`	UniM ECCV (22) Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, Tao Luo, Chun-Mei Feng, Wangmeng Zuo
2024	J	`jnl`	Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. CoRR Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo
2024	A*	`conf`	Visual Programming for Zero-Shot Open-Vocabulary 3D Visual Grounding. CVPR Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li
2023	—	`conf`	Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CVPR Workshops Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo
2023	J	`jnl`	COCA: Classifier-Oriented Calibration for Source-Free Universal Domain Adaptation via Textual Prototype. CoRR Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao
2023	A*	`conf`	Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. ICCV Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo
2023	J	`jnl`	Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo
2023	J	`jnl`	Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu
2023	A*	`conf`	Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
2023	J	`jnl`	Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
2023	J	`jnl`	Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu
2023	J	`jnl`	Rethinking Client Drift in Federated Learning: A Logit Perspective. CoRR Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
2023	J	`jnl`	Sentence-level Prompts Benefit Composed Image Retrieval. CoRR Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
2023	J	`jnl`	Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
2023	A*	`conf`	Towards Instance-adaptive Inference for Federated Learning. ICCV Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo
2023	J	`jnl`	Towards Instance-adaptive Inference for Federated Learning. CoRR Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo
2023	J	`jnl`	TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
2023	J	`jnl`	VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
2023	J	`jnl`	Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding. CoRR Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li
2023	J	`jnl`	Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
2022	J	`jnl`	Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. CoRR Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo
2022	J	`jnl`	Group-Wise Learning for Weakly Supervised Semantic Segmentation. IEEE Trans. Image Process. Tianfei Zhou, Liulei Li, Xueyi Li, Chun-Mei Feng, Jianwu Li, Ling Shao
2022	J	`jnl`	Prompt-driven efficient Open-set Semi-supervised Learning. CoRR Haoran Li, Chun-Mei Feng, Tao Zhou, Yong Xu, Xiaojun Chang
2021	J	`jnl`	Accelerated Multi-Modal MR Imaging with Transformers. CoRR Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao
2021	J	`jnl`	Brain MRI super-resolution using coupled-projection residual network. Neurocomputing Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Xuelong Li
2021	J	`jnl`	DONet: Dual-Octave Network for Fast MR Image Reconstruction. CoRR Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao
2021	A*	`conf`	Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. AAAI Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
2021	J	`jnl`	Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. CoRR Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
2021	J	`jnl`	Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao
2021	J	`jnl`	Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network. CoRR Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
2021	—	`conf`	Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. MICCAI (6) Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu
2021	J	`jnl`	Multi-modal Aggregation Network for Fast MR Imaging. CoRR Chun-Mei Feng, Huazhu Fu, Tianfei Zhou, Yong Xu, Ling Shao, David Zhang
2021	J	`jnl`	Specificity-Preserving Federated Learning for MR Image Reconstruction. CoRR Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Yong Xu, Ling Shao
2021	—	`conf`	Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. MICCAI (6) Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
2021	J	`jnl`	Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. CoRR Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
2019	J	`jnl`	Coupled-Projection Residual Network for MRI Super-Resolution. CoRR Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
2019	J	`jnl`	Robust Classification with Sparse Representation Fusion on Diverse Data Subsets. CoRR Chun-Mei Feng, Yong Xu, Zuoyong Li, Jian Yang
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2017	—	`conf`	Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
2017	J	`jnl`	Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
2017	—	`conf`	Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
2016	—	`conf`	A Simple Review of Sparse Principal Components Analysis. ICIC (2) Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang
2016	—	`conf`	A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du
2016	—	`conf`	Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu