default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChun-Mei Feng 0001
Person information
- affiliation: Harbin Institute of Technology, School of Information Science and Technology, Shenzhen Key Laboratory of Visual Object Detection and Recognition, China
- affiliation: Agency for Science, Technology and Research, A*STAR, Institute of High Performance Computing, IHPC, Singapore
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
- affiliation (2018): Qufu Normal University, School of Information Science and Engineering, Jining, China
Other persons with the same name
- Chun-Mei Feng — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j20]Zixun Zhang
, Yuzhe Zhou, Jiayou Zheng, Chun-Mei Feng, Shuguang Cui, Sheng Wang, Zhen Li:
Boost Protein Language Model with Injected Structure Information Through Parameter Efficient Fine-tuning. Comput. Biol. Medicine 195: 110607 (2025)- [j19]Chun-Mei Feng, Yuanyang He, Jian Zou, Salman H. Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu:
Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. Int. J. Comput. Vis. 133(8): 5083-5098 (2025) - [j18]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:
From pretraining to privacy: federated ultrasound foundation model with self-supervised learning. npj Digit. Medicine 8(1) (2025) - [j17]Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu:
Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(9): 7660-7674 (2025) - [j16]Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu:
Reliable Federated Disentangling Network for Non-IID Domain Feature. IEEE Trans. Big Data 11(2): 648-658 (2025) - [j15]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE J. Biomed. Health Informatics 29(8): 5849-5861 (2025) - [j14]Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao:
DONet: Dual-Octave Network for Fast MR Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 36(3): 3965-3975 (2025) - [j13]Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo:
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12091-12105 (2025) - [j12]Fan Zhang, Huiying Liu, Qing Cai, Chun-Mei Feng, Binglu Wang, Shanshan Wang, Junyu Dong, David Zhang:
Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 36(7): 13498-13511 (2025) - [c27]Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu:
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. AAAI 2025: 2942-2950 - [c26]Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li:
Empowering Large Language Models with 3D Situation Awareness. CVPR 2025: 19435-19445 - [c25]Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman H. Khan, Yong Liu, Lei Zhu:
On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning. ICLR 2025 - [c24]Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu:
Federated Residual Low-Rank Adaptation of Large Language Models. ICLR 2025 - [c23]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu:
Temporal Model-Based Federated Active Medical Image Classification. MICCAI (14) 2025: 604-614 - [c22]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:
Medical Referring Image Segmentation: Addressing Multi-Lesion Reference and Annotation Uncertainty via Vision-Language Fusion. MLMI@MICCAI 2025: 369-378 - [i39]Zilu Guo, Hongbin Lin, Zhihao Yuan, Chaoda Zheng, Pengshuo Qiu, Dongzhi Jiang, Renrui Zhang, Chun-Mei Feng, Zhen Li:
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models. CoRR abs/2503.10529 (2025) - [i38]Zhihao Yuan, Yibo Peng, Jinke Ren, Yinghong Liao, Yatong Han, Chun-Mei Feng, Hengshuang Zhao, Guanbin Li, Shuguang Cui, Zhen Li:
Empowering Large Language Models with 3D Situation Awareness. CoRR abs/2503.23024 (2025) - [i37]Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu:
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning. CoRR abs/2506.10575 (2025) - [i36]Zhihao Yuan, Shuyi Jiang, Chun-Mei Feng, Yaolun Zhang, Shuguang Cui, Zhen Li, Na Zhao:
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations. CoRR abs/2506.17545 (2025) - 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) - [c21]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. BIBM 2024: 944-949 - [c20]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 - [c19]Jian Zou, Guanglei Yang, Tao Luo, Chun-Mei Feng, Wangmeng Zuo:
ProGBA: Prompt Guided Bayesian Augmentation for Zero-Shot Domain Adaptation. ECCV Workshops (7) 2024: 241-261 - [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 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 - [i35]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) - [i34]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) - [i33]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) - [i32]Chun-Mei Feng:
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models. CoRR abs/2407.05323 (2024) - [i31]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) - [i30]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) - [i29]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) - [i28]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:
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. CoRR abs/2411.16380 (2024) - [i27]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. CoRR abs/2412.06642 (2024) - [i26]Chun-Mei Feng, Yuanyang He, Jian Zou, Salman Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu:
Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation. CoRR abs/2412.09706 (2024) - [i25]Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo:
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. CoRR abs/2412.19547 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-16 23:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
