Feiping Nie

945 papers A* 148A 12B 15Misc 34Journal 700Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Greedy Strategy for Graph Cut.
IEEE Trans. Image Process.
Shenfei Pei, Huijuan Dong, Nianci Guan, Zhongqi Lin, Feiping Nie, Xudong Jiang, Zengwei Zheng
2026 J jnl
A novel semi-supervised clustering algorithm based on ridge regression with optimal scaling.
Neurocomputing
Jianyong Zhu, Kun Chen, Jingwen Wang, Hui Yang, Feiping Nie
2026 A* conf
Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis.
AAAI
Yuzhe Feng, Yunlong Gao, Feiping Nie
2026 J jnl
Adversarial incomplete multi-view clustering with adaptive contrastive learning.
Neural Networks
Siyuan Peng, Shuzhao Xu, Zhijing Yang, Xiaojun Yang, Feiping Nie
2026 J jnl
All-weather multi-modality image fusion: Unified framework and 100k benchmark.
Inf. Fusion
Xilai Li, Wuyang Liu, Xiaosong Li, Fuqiang Zhou, Huafeng Li, Feiping Nie
2026 J jnl
An Optimization Solver of Min-Max Cut for Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Zhengxin Li, Feiping Nie, Jingjing Xue, Xuelong Li
2026 J jnl
Approximate anchor-based similarity graph and its applications for large-scale data.
Neurocomputing
Wei Chang, Manguo Liu, Feiping Nie, Danyang Wu, Rong Wang
2026 J jnl
Attribute graph adjusted trace ratio linear discriminant analysis for feature extraction.
Pattern Recognit.
Quan Wang, Hao Lei, Fei Wang, Xinpei Wen, Zhiping Lin, Feiping Nie
2026 J jnl
Clustering Based on Density Propagation and Subcluster Merging.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Yitao Song, Qilong Qiu, Jingjing Xue, Rong Wang, Xuelong Li
2026 J jnl
Concave Cut: Analyzing the role of concave functions in clustering.
Pattern Recognit.
Shenfei Pei, Yuanchen Sun, Zhongqi Lin, Feiping Nie, Jitao Lu, Xudong Jiang, Canyu Zhang, Zengwei Zheng
2026 J jnl
Decision forest with fast-determined optimal parameter intervals of base learners.
Pattern Recognit.
Quan Wang, Fei Wang, Hao Lei, Badong Chen, Zhiping Lin, Feiping Nie
2026 J jnl
Efficient Co-Clustering via Bipartite Graph Factorization.
IEEE Trans. Knowl. Data Eng.
Xiaowei Zhao, Liuyun Guo, Xiaojun Chang, Jun Guo, Feiping Nie, Qiang Zhang
2026 J jnl
Efficient greedy optimization method for k-means.
Pattern Recognit.
Yuan Yuan, Lin Zhao, Shenfei Pei, Feiping Nie
2026 J jnl
Efficient hierarchical multi-resolution k-means clustering.
Pattern Recognit.
Lin Zhao, Yuan Yuan, Feiping Nie
2026 J jnl
Efficient superpixel-guided global-local spectral clustering for large-scale HSI.
Neurocomputing
Ben Yang, Xuetao Zhang, Yongqiang Luo, Feiping Nie, Fei Wang, Badong Chen
2026 J jnl
Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
2026 J jnl
Fast Multi-view Discrete Clustering via Spectral Embedding Fusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Ben Yang, Xuetao Zhang, Zhiyuan Xue, Feiping Nie, Badong Chen
2026 J jnl
Fast Multiview Co-Clustering in Unified Subspace.
IEEE Trans. Circuits Syst. Video Technol.
Shengzhao Guo, Zhenyu Ma, Jingyu Wang, Feiping Nie, Xuelong Li
2026 J jnl
Fast fuzzy clustering via sparse anchor graph with manifold and balance regularizations.
Inf. Fusion
Jikui Wang, Yuqi Ma, Cuihong Zhang, Baocheng Yao, Ruijuan Zhao, Feiping Nie
2026 J jnl
Fast multi-view clustering via tensor hyperbolic tangent-p norm minimization.
Pattern Recognit.
Yongbo Yu, Zhoumin Lu, Jingjing Xue, Rong Wang, Zongcheng Miao, Feiping Nie
2026 J jnl
Fast multi-view discrete clustering with two solvers.
Pattern Recognit.
Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Feiping Nie
2026 J jnl
Flexible multi-view feature selection with semi-supervised label semantic alignment.
Pattern Recognit.
Han Zhang, Rui Du, Bingshu Wang, Feiping Nie, Xuelong Li
2026 J jnl
Fuzzy clustering algorithm with locality preserving based on anchor graph.
Pattern Recognit.
Jikui Wang, Feifei Liu, Chengzhu Ji, Xiran Li, Feiping Nie
2026 J jnl
Graph structure enhancement with local cluster guidance for discrete spectral clustering.
Expert Syst. Appl.
Xiaojun Yang, Bin Li, Jingjing Xue, Yi Fang, Jian Yang, Feiping Nie
2026 J jnl
Group-wise attentive enhancements for unsupervised feature selection.
Knowl. Based Syst.
Jie Wang, Yongjin Yuan, Ziang Niu, Lingyi Kong, Zheng Wang, Rong Wang, Feiping Nie
2026 J jnl
Highly-Efficient Large-Scale k-means with Individual Fairness.
Proc. VLDB Endow.
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Yiming Wang, Yushuai Ji, Feiping Nie, Xiaodong Li, Zhiyong Peng
2026 J jnl
Improve noise tolerance of robust feature selection via block-sparse projection learning.
Pattern Recognit.
Jie Wang, Zheng Wang, Yu Guo, Rong Wang, Fei Wang, Feiping Nie
2026 J jnl
Kernel entropy graph isomorphism network for graph classification.
Pattern Recognit.
Lixiang Xu, Wei Ge, Feiping Nie, Enhong Chen, Bin Luo
2026 J jnl
MIARS: Mutual information-guided feature selection with angle reconstruction and semantic alignment for multi-label learning.
Knowl. Based Syst.
Ruijia Li, Hong Chen, Yingcang Ma, Feiping Nie, Yixiao Huang
2026 J jnl
Max-Min Robust Unsupervised Feature Selection via Sparse Subspace.
IEEE Trans. Cybern.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Zhensheng Sun, Xuelong Li
2026 J jnl
Multi-View Graph Clustering via Dual View-Cluster-Order Interactivity Mining.
IEEE Trans. Circuits Syst. Video Technol.
Junjie Liang, Xia Dong, Penglei Wang, Jin Xu, Danyang Wu, Feiping Nie
2026 J jnl
Multi-graph clustering via multi-modal topological manifold learning.
Neural Networks
Shaojun Shi, Canyu Zhang, Jiahao Zhao, Feiping Nie
2026 J jnl
Multi-subspace graph clustering joint dimensionality reduction and feature selection.
Pattern Recognit.
Yingjie Cai, Hui Yang, Jianyong Zhu, Feiping Nie
2026 J jnl
Multi-view Clustering based on Doubly Stochastic Graph.
Signal Process.
Nian Wang, Zhigao Cui, Aihua Li, Rong Wang, Feiping Nie
2026 J jnl
Nonnegative spectral embedding learning with adaptive neighbors for multi-view clustering.
Neural Networks
Mingyu Zhao, Feiping Nie, Cong Wang, Xuelong Li, Zehan Tan, Huaqiang Hu
2026 J jnl
Normalized cut co-clustering with out-of-sample extension.
Pattern Recognit.
Jingyu Wang, Mingqing Liu, Feiping Nie, Xuelong Li
2026 A* conf
Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding.
AAAI
Xianglong Jin, Zheng Wang, Rong Wang, Feiping Nie
2026 J jnl
Robust and flexible multi-view subspace clustering with nuclear norm.
Pattern Recognit.
Shaojun Shi, Yibing Liu, Canyu Zhang, Sisi Wang, Feiping Nie
2026 J jnl
Robust outlier elimination trace ratio LDA for dimensionality reduction.
Pattern Recognit.
Jingyu Wang, Hengheng Yin, Feiping Nie, Xuelong Li
2026 A* conf
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026 J jnl
Scalable multi-view discrete clustering with self-supervised constraints.
Pattern Recognit.
Xiaojun Yang, Donghuai Liu, Bin Li, Jieming Xie, Jingjing Xue, Feiping Nie
2026 J jnl
Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels.
Pattern Recognit.
Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie
2026 J jnl
Self-paced and structured graph-based ensemble clustering.
Signal Process.
Haoliang Tang, Xuan Zheng, Yihang Lu, Zihua Zhao, Rong Wang, Feiping Nie
2026 J jnl
Semi-supervised classification and projection with adaptive flexible structure optimal graph.
Neural Networks
Hong Chen, Feiping Nie, Shenfei Pei, Yingcang Ma
2026 A* conf
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026 J jnl
Unsupervised multi-view feature selection via attentive hierarchical bipartite graphs with optimizable graph filter.
Inf. Fusion
Xia Dong, Danyang Wu, Yiping Ke, Feiping Nie
2026 J jnl
View-Adaptive Multi-Granularity Anchor Learning for Multi-View Clustering.
IEEE Trans. Image Process.
Xiaohui Wei, Yuting Chen, Feiping Nie, Haibo Liu, Qiya Song, Lin Xiao
2025 J jnl
A Band Selection Approach Based on a Mass-Based Metric and Shared Nearest-Neighbours for Hyperspectral Images.
IET Image Process.
Jikui Wang, Chengzhu Ji, Feifei Liu, Baocheng Yao, Qingsheng Shang, Feiping Nie
2025 J jnl
A Convex Formulation for Fast Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng.
Xinyi Fan, Weizhong Yu, Feiping Nie, Zongcheng Miao, Xuelong Li
2025 Misc conf
A Margin-Maximizing Fine-Grained Ensemble Method.
ICASSP
Jinghui Yuan, Hao Chen, Renwei Luo, Feiping Nie
2025 J jnl
A Revised Formation of Trace Ratio LDA for Small Sample Size Problem.
IEEE Trans. Neural Networks Learn. Syst.
Zhengxin Li, Feiping Nie, Rong Wang, Xuelong Li
2025 J jnl
A Structured Bipartite Graph Learning method for ensemble clustering.
Pattern Recognit.
Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie
2025 J jnl
A novel linear discriminant analysis based on alternate ratio sum minimization.
Inf. Sci.
Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie
2025 J jnl
A parameter-free self-training algorithm based on the three successive confirmation rule.
Eng. Appl. Artif. Intell.
Jikui Wang, Wei Zhao, Qingsheng Shang, Feiping Nie
2025 J jnl
A robust entropy regularized K-means clustering algorithm for processing noise in datasets.
Neural Comput. Appl.
Peilin Jiang, Junnan Cao, Weizhong Yu, Feiping Nie
2025 J jnl
A robust self-training algorithm based on relative node graph.
Appl. Intell.
Jikui Wang, Huiyu Duan, Cuihong Zhang, Feiping Nie
2025 J jnl
Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data.
IEEE Trans. Fuzzy Syst.
Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Feiping Nie, C. L. Philip Chen
2025 J jnl
Adaptive Deep Metric Learning with harmonized loss and nearest proxy alignment for low-dimensional representation.
Knowl. Based Syst.
Jingwei Chen, Jingqing Cheng, Xiaoxiao Wang, Xiaohua Xu, Feiping Nie
2025 J jnl
Adaptive Feature-Weighted Local-Global Clustering.
IEEE Signal Process. Lett.
Mimi Jin, Yiyan Wang, Yong Peng, Feiping Nie, Andrzej Cichocki
2025 J jnl
Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Jiaxi Xie, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Adaptive Graph K-Means.
Pattern Recognit.
Shenfei Pei, Yuanchen Sun, Feiping Nie, Xudong Jiang, Zengwei Zheng
2025 J jnl
Adaptive bigraph-based multi-view unsupervised dimensionality reduction.
Neural Networks
Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Feiping Nie
2025 J jnl
Adaptive fast local discriminant analysis with whitening transform.
Neural Networks
Hong Chen, Feiping Nie, Yingcang Ma, Rong Wang
2025 J jnl
Anchor Guided Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Canyu Zhang, Feiping Nie, Rong Wang
2025 J jnl
Anchor-based fast spectral ensemble clustering.
Inf. Fusion
Runxin Zhang, Shuaijun Hang, Zhensheng Sun, Feiping Nie, Rong Wang, Xuelong Li
2025 J jnl
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie
2025 J jnl
Auto-weighted Graph Reconstruction for efficient ensemble clustering.
Inf. Sci.
Xiaojun Yang, Weihao Zhao, Jing Wang, Siyuan Peng, Feiping Nie
2025 J jnl
Balanced and Discrete Multi-View Clustering With Adaptive Graph Learning.
IEEE Trans. Circuits Syst. Video Technol.
Mingyu Zhao, Feiping Nie, Cong Wang, Xuelong Li
2025 J jnl
Bidirectional fusion for deep contrastive multi-view clustering.
Expert Syst. Appl.
Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie
2025 A* conf
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering.
IJCAI
Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang
2025 J jnl
Clustering with dynamic bipartite graph learning.
Neurocomputing
Yun Liang, Wang Gao, Qimin Liang, Cankun Zhong, Feiping Nie
2025 J jnl
Compactness score: a fast filter method for unsupervised feature selection.
Ann. Oper. Res.
Peican Zhu, Xin Hou, Keke Tang, Zhen Wang, Feiping Nie
2025 J jnl
Comprehensive Information Extraction With Separable Representation Learning for Multi-View Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Penglei Wang, Danyang Wu, Jin Xu, Feiping Nie
2025 J jnl
Corrigendum to "Fast adaptively balanced min-cut clustering" [Pattern Recognition 158 (2025) 111027].
Pattern Recognit.
Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li
2025 J jnl
Cross-View Approximation on Grassmann Manifold for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Yidan Ma, Xinjie Shen, Danyang Wu, Jianfu Cao, Feiping Nie
2025 J jnl
Data Subdivision Based Dual-Weighted Robust Principal Component Analysis.
IEEE Trans. Image Process.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2025 J jnl
Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation.
IEEE Trans. Image Process.
Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao
2025 J jnl
Direct Spectral Clustering With New Graph Learning for Better Fitting.
IEEE Trans. Knowl. Data Eng.
Lingyi Kong, Jingjing Xue, Feiping Nie, Xuelong Li
2025 J jnl
Discriminative and Robust Autoencoders for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Diversity-induced fuzzy clustering with Laplacian regularization.
Inf. Sci.
Yunlong Gao, Qinting Wu, Zhenghong Xu, Jinyan Pan, Guifang Shao, Qingyuan Zhu, Feiping Nie
2025 J jnl
Dual constraint based semi-supervised nonnegative matrix factorization for multi-view clustering.
Knowl. Based Syst.
Siyuan Peng, Zimeng Huangfu, Wenyun Xie, Zhijing Yang, Feiping Nie
2025 J jnl
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering.
CoRR
Fangyuan Xie, Jinghui Yuan, Feiping Nie, Xuelong Li
2025 J jnl
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy.
CoRR
Guanzhou Lan, Yuqi Yang, Anup Teejo Mathew, Feiping Nie, Rong Wang, Xuelong Li, Federico Renda, Bin Zhao
2025 J jnl
Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion.
Neurocomputing
Bo Xu, Guoxu Li, Jie Wang, Zheng Wang, Jianfu Cao, Rong Wang, Feiping Nie
2025 J jnl
Effective feature-sample co-clustering by adaptive feature-sample co-weighting.
Inf. Sci.
Yiyan Wang, Mimi Jin, Yuxin Chen, Yong Peng, Ziyue Yang, Feiping Nie, Andrzej Cichocki, Wanzeng Kong
2025 Misc conf
Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity.
ICASSP
Fangyuan Xie, Lin Zhao, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li
2025 Misc conf
Efficient Co-clustering via Anchor-refined Label Spreading.
ICASSP
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Embedded multi-label feature selection via orthogonal regression.
Pattern Recognit.
Xueyuan Xu, Fulin Wei, Tianze Yu, Jinxin Lu, Aomei Liu, Li Zhuo, Feiping Nie, Xia Wu
2025 J jnl
Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach.
IEEE Trans. Circuits Syst. Video Technol.
Zihua Zhao, Zhe Cao, Haonan Xin, Rong Wang, Danyang Wu, Zheng Wang, Feiping Nie
2025 J jnl
FAIM: Frequency-Aware Interactive Mamba for Time Series Classification.
CoRR
Da Zhang, Bingyu Li, Zhiyuan Zhao, Yanhan Zhang, Junyu Gao, Feiping Nie, Xuelong Li
2025 J jnl
Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity.
IEEE Trans. Knowl. Data Eng.
Fangyuan Xie, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Fast Co-clustering via Anchor-guided Label Spreading.
Neural Networks
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Fast Fuzzy Graph Cut for Clustering.
IEEE Trans. Fuzzy Syst.
Qianyao Qiang, Bin Zhang, Chen Jason Zhang, Yunjia Hua, Feiping Nie
2025 J jnl
Fast Multiview Anchor-Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Zhiping Lin, Fei Wang, Badong Chen
2025 J jnl
Fast Multiview Semi-Supervised Classification With Optimal Bipartite Graph.
IEEE Trans. Neural Networks Learn. Syst.
Yuting Wang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2025 J jnl
Fast adaptively balanced min-cut clustering.
Pattern Recognit.
Feiping Nie, Fangyuan Xie, Jingyu Wang, Xuelong Li
2025 J jnl
Fast anchor graph optimized projections with principal component analysis and entropy regularization.
Inf. Sci.
Jikui Wang, Cuihong Zhang, Wei Zhao, Xueyan Huang, Feiping Nie
2025 J jnl
Fast multi-view clustering via anchor label transmit with tensor structure constraint.
Expert Syst. Appl.
Huimin Chen, Runxin Zhang, Yu Duan, Rong Wang, Feiping Nie
2025 J jnl
Fast self-supervised discrete graph clustering with ensemble local cluster constraints.
Neural Networks
Xiaojun Yang, Bin Li, Weihao Zhao, Sha Xu, Jingjing Xue, Feiping Nie
2025 J jnl
Fast semi-supervised classification based on anchor graph.
Inf. Sci.
Xinyi Fan, Weizhong Yu, Feiping Nie, Xuelong Li
2025 J jnl
FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis.
CoRR
Da Zhang, Bingyu Li, Zhiyuan Zhao, Feiping Nie, Junyu Gao, Xuelong Li
2025 J jnl
Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs.
IEEE Trans. Fuzzy Syst.
Zihua Zhao, Xinyi Hui, Huimin Chen, Ting Wang, Rong Wang, Feiping Nie
2025 J jnl
Fuzzy Min-Cut With Soft Balancing Effects.
IEEE Trans. Fuzzy Syst.
Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie
2025 J jnl
Fuzzy Weighted Principal Component Analysis for Anomaly Detection.
ACM Trans. Knowl. Discov. Data
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2025 J jnl
Graph Clustering With Harmonic-Maxmin Cut Guidance.
IEEE Trans. Knowl. Data Eng.
Jingwei Chen, Zihan Wu, Jingqing Cheng, Xiaohua Xu, Feiping Nie
2025 J jnl
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2025 J jnl
Harmonic Fast One-Step Cut: An Efficient Strategy for Spectral Clustering Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Jingwei Chen, Shasha Fu, Hui Yang, Feiping Nie
2025 J jnl
Hierarchical bipartite graph based multi-view subspace clustering.
Inf. Fusion
Jie Zhou, Feiping Nie, Xinglong Luo, Xingshi He
2025 A* conf
High-Quality Label Learning in Generalized Category Discovery.
ICDM
Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng
2025 J jnl
Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery.
IEEE Trans. Neural Networks Learn. Syst.
Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu, Rong Wang, Xuelong Li
2025 B conf
Hyperspectral Image Clustering Based on Weighted Spatial Denoising and Anchor Graph.
IEEE Big Data
Chaodie Liu, Jianxiong Luo, Cheng Chang, Qianyao Qiang, Feiping Nie
2025 J jnl
Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xia Dong, Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
2025 A* conf
Language Pre-training Guided Masking Representation Learning for Time Series Classification.
AAAI
Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
2025 J jnl
Large-Scale Clustering With Anchor-Based Constrained Laplacian Rank.
IEEE Trans. Knowl. Data Eng.
Zhenyu Ma, Jingyu Wang, Feiping Nie, Xuelong Li
2025 J jnl
Learning Compact Discriminant Representation via Low-Rank Bilinear Pooling.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Song, Hao Li, Gong Cheng, Junwei Han, Feiping Nie, Bin Gu, Fakhri Karray
2025 J jnl
Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Mining the Salient Spatio-Temporal Feature with S2TF-Net for action recognition.
Signal Process. Image Commun.
Xiaoxi Liu, Ju Liu, Lingchen Gu, Yafeng Li, Xiaojun Chang, Feiping Nie
2025 J jnl
Multi-order graph based clustering via dynamical low rank tensor approximation.
Neurocomputing
Nian Wang, Zhigao Cui, Aihua Li, Yuanliang Xue, Rong Wang, Feiping Nie
2025 J jnl
Multi-view clustering via high-order bipartite graph fusion.
Inf. Fusion
Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie
2025 J jnl
Multilevel Contrastive Multiview Clustering With Dual Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jintang Bian, Yixiang Lin, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie
2025 J jnl
Multitype view of knowledge contrastive learning for recommendation.
Neural Networks
Xiao-Jun Yang, Yang-Hui Wu, Zhi-Hao Zhang, Jing Wang, Feiping Nie
2025 J jnl
Multiview Clustering via Block Diagonal Graph Filtering.
IEEE Trans. Neural Networks Learn. Syst.
Haonan Xin, Danyang Wu, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Mutual-support generalized category discovery.
Inf. Fusion
Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li
2025 J jnl
Nonlinear Locality-Preserving Projections With Dynamic Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Dongming Wu, Feiping Nie, Weizhong Yu, Chen Zhao, Xuelong Li
2025 J jnl
Optimal Graph Learning-Based Label Propagation for Cross-Domain Image Classification.
IEEE Trans. Image Process.
Wei Wang, Mengzhu Wang, Chao Huang, Cong Wang, Jie Mu, Feiping Nie, Xiaochun Cao
2025 J jnl
Outlier Indicator Based Projection Fuzzy K-Means Clustering for Hyperspectral Image.
IEEE Signal Process. Lett.
Xinze Liu, Xiaojun Yang, Jiale Zhang, Jing Wang, Feiping Nie
2025 J jnl
Outlier Resistant Fuzzy Clustering via Row Sparse Discriminative Embedding Projection.
IEEE Signal Process. Lett.
Xinru Zhang, Zhenyu Ma, Jingyu Wang, Feiping Nie, Xuelong Li
2025 J jnl
PRformer: Pyramidal recurrent transformer for multivariate time series forecasting.
Neural Networks
Yongbo Yu, Weizhong Yu, Feiping Nie, Zongcheng Miao, Ya Liu, Xuelong Li
2025 J jnl
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Han Liu, Rong Wang, Xuelong Li
2025 A conf
Point-DMAE: Point Cloud Self-supervised Learning via Density-directed Masked Autoencoders.
CIKM
Xianglong Jin, Zheng Wang, Wenjie Zheng, Feiping Nie
2025 J jnl
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline.
Neural Networks
Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie
2025 J jnl
Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng.
Yongbo Yu, Zhoumin Lu, Feiping Nie, Weizhong Yu, Zongcheng Miao, Xuelong Li
2025 J jnl
RDFS-TDC: Robust discriminant feature selection based on improved trace difference criterion.
Inf. Sci.
Libo Yang, Dawei Zhu, Xuemei Liu, Feiping Nie
2025 J jnl
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li
2025 J jnl
Riemannian Optimization on Relaxed Indicator Matrix Manifold.
CoRR
Jinghui Yuan, Fangyuan Xie, Feiping Nie, Xuelong Li
2025 J jnl
Robust Jointly Sparse Fast Fuzzy Clustering via Ternary-Tree-Based Anchor Graph.
IEEE Trans. Fuzzy Syst.
Jianping Liu, Hong-Ying Zhang, Kezhen Dong, Feiping Nie
2025 J jnl
Robust Semi-Supervised Deep Nonnegative Matrix Factorization With Constraint Propagation for Data Representation.
IEEE Trans. Big Data
Siyuan Peng, Jingxing Yin, Zhijing Yang, Feiping Nie, Badong Chen
2025 J jnl
Robust support vector ordinal regression.
Inf. Sci.
Haorui Xiang, Zhichang Wu, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Scalable Min-Max Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng.
Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Fei Wang, Badong Chen
2025 J jnl
Scalable Multi-View Regression Clustering for Large-Scale Data.
IEEE Trans. Circuits Syst. Video Technol.
Xiaowei Zhao, Jie Fan, Xiaojun Chang, Feiping Nie, Qiang Zhang, Jun Guo
2025 J jnl
Scaled robust linear embedding with adaptive neighbors preserving.
Pattern Recognit.
Yunlong Gao, Qinting Wu, Xinjing Wang, Tingting Lin, Jinyan Pan, Chao Cao, Guifang Shao, Qingyuan Zhu, Feiping Nie
2025 J jnl
Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Self-Weighted Multi-View Fuzzy Clustering With Multiple Graph Learning.
IEEE Signal Process. Lett.
Chaodie Liu, Cheng Chang, Feiping Nie
2025 J jnl
Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering.
Pattern Recognit.
Xiaojun Yang, Tuoji Zhu, Siyuan Peng, Feiping Nie, Zhiping Lin
2025 J jnl
Simplifying Scalable Subspace Clustering and Its Multi-View Extension by Anchor-to-Sample Kernel.
IEEE Trans. Image Process.
Zhoumin Lu, Feiping Nie, Linru Ma, Rong Wang, Xuelong Li
2025 J jnl
Smooth-Guided Implicit Data Augmentation for Domain Generalization.
IEEE Trans. Neural Networks Learn. Syst.
Mengzhu Wang, Junze Liu, Ge Luo, Shanshan Wang, Wei Wang, Long Lan, Ye Wang, Feiping Nie
2025 J jnl
Soft Neighbors Supported Contrastive Clustering.
IEEE Trans. Image Process.
Yu Duan, Huimin Chen, Runxin Zhang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Spectral ensemble clustering from graph reconstruction with auto-weighted cluster.
Pattern Recognit. Lett.
Xiaojun Yang, Zhenhao Zheng, Jieming Xie, Weihao Zhao, Jingjing Xue, Feiping Nie
2025 J jnl
Structured Doubly Stochastic Graph-Based Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Nian Wang, Zhigao Cui, Aihua Li, Yihang Lu, Rong Wang, Feiping Nie
2025 J jnl
Structured Graph-Based Ensemble Clustering.
IEEE Trans. Knowl. Data Eng.
Xuan Zheng, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Structured multi-view k-means clustering.
Pattern Recognit.
Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie
2025 J jnl
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens.
Zhe Cao, Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Mathieu Sebilo
2025 J jnl
Tensorized Graph Learning for Spectral Ensemble Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Zhe Cao, Yihang Lu, Jinghui Yuan, Haonan Xin, Rong Wang, Feiping Nie
2025 J jnl
Toward Balance Adaptive Weighted Ensemble Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Runxin Zhang, Xia Wu, Huimin Chen, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie
2025 J jnl
Toward Balance Deep Semisupervised Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Yu Duan, Zhoumin Lu, Rong Wang, Xuelong Li, Feiping Nie
2025 J jnl
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
CoRR
Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie
2025 J jnl
Triangle Topology Enhancement for Multi-View Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Danyang Wu, Penglei Wang, Jitao Lu, Zhanxuan Hu, Hongming Zhang, Feiping Nie
2025 J jnl
Unconstrained Fuzzy C-Means Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Runxin Zhang, Weizhong Yu, Xuelong Li
2025 J jnl
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang
2025 J jnl
UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting.
CoRR
Da Zhang, Bingyu Li, Zhuyuan Zhao, Junyu Gao, Feiping Nie, Xuelong Li
2025 J jnl
Unsupervised Discriminative Feature Selection With $\ell _{2,0}$ℓ2,0-Norm Constrained Sparse Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Xia Dong, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2024 J jnl
A Greedy Strategy for Graph Cut.
CoRR
Feiping Nie, Shenfei Pei, Zengwei Zheng, Rong Wang, Xuelong Li
2024 J jnl
A Margin-Maximizing Fine-Grained Ensemble Method.
CoRR
Jinghui Yuan, Hao Chen, Renwei Luo, Feiping Nie
2024 J jnl
A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
2024 J jnl
A Novel and Effective Method to Directly Solve Spectral Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li
2024 J jnl
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation.
IEEE Trans. Neural Networks Learn. Syst.
Jingwei Chen, Shiyu Xie, Hongyun Jiang, Hui Yang, Feiping Nie
2024 J jnl
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method.
CoRR
Jinghui Yuan, Weijin Jiang, Zhe Cao, Fangyuan Xie, Rong Wang, Feiping Nie, Yuan Yuan
2024 J jnl
Adaptive Fuzzy C-Means with Graph Embedding.
CoRR
Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li
2024 J jnl
Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering.
IEEE Trans. Signal Process.
Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu, Rong Wang, Feiping Nie
2024 J jnl
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction.
Pattern Recognit.
Jingyu Wang, Hengheng Yin, Feiping Nie, Xuelong Li
2024 J jnl
An Balanced, and Scalable Graph-Based Multiview Clustering Method.
IEEE Trans. Knowl. Data Eng.
Zihua Zhao, Feiping Nie, Rong Wang, Zheng Wang, Xuelong Li
2024 J jnl
An Effective Optimization Method for Fuzzy $k$k-Means With Entropy Regularization.
IEEE Trans. Knowl. Data Eng.
Yun Liang, Yijin Chen, Qiong Huang, Haoming Chen, Feiping Nie
2024 J jnl
Anchor-graph regularized orthogonal concept factorization for document clustering.
Neurocomputing
Ben Yang, Zhiyuan Xue, Jinghan Wu, Xuetao Zhang, Feiping Nie, Badong Chen
2024 J jnl
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing.
Expert Syst. Appl.
Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen
2024 J jnl
Bidirectional Attentive Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Jitao Lu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
2024 J jnl
Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Xiaojun Yang, Tuoji Zhu, Danyang Wu, Penglei Wang, Yujia Liu, Feiping Nie
2024 J jnl
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Danyang Wu, Xia Dong, Jianfu Cao, Rong Wang, Feiping Nie, Xuelong Li
2024 J jnl
Clustering Based on Density Propagation and Subcluster Merging.
CoRR
Feiping Nie, Yitao Song, Jingjing Xue, Rong Wang, Xuelong Li
2024 J jnl
Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning.
IEEE Trans. Cybern.
Jingjing Xue, Feiping Nie, Chaodie Liu, Rong Wang, Xuelong Li
2024 J jnl
Coordinate Descent Optimized Trace Difference Model for Joint Clustering and Feature Extraction.
Pattern Recognit.
Quan Wang, Fei Wang, Zhongheng Li, Zheng Wang, Feiping Nie
2024 J jnl
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98].
Neurocomputing
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 J jnl
Discrete correntropy-based multi-view anchor-graph clustering.
Inf. Fusion
Ben Yang, Jinghan Wu, Xuetao Zhang, Xinhu Zheng, Feiping Nie, Badong Chen
2024 Misc conf
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework.
ICASSP
Xin Qi, Han Zhang, Feiping Nie
2024 J jnl
Discriminative and robust least squares regression for semi-supervised image classification.
Neurocomputing
Jingyu Wang, Cheng Chen, Feiping Nie, Xuelong Li
2024 J jnl
Diverse semantic information fusion for Unsupervised Person Re-Identification.
Inf. Fusion
Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie
2024 J jnl
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang
2024 J jnl
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping.
CoRR
Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan
2024 J jnl
EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Danyang Wu, Zhenkun Yang, Jitao Lu, Jin Xu, Xiangmin Xu, Feiping Nie
2024 J jnl
Effective semi-supervised graph clustering with pairwise constraints.
Inf. Sci.
Jingwei Chen, Shiyu Xie, Hui Yang, Feiping Nie
2024 J jnl
Efficient Discrete Clustering With Anchor Graph.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
2024 J jnl
Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph.
IEEE Trans. Cybern.
Zheng Wang, Qi Li, Feiping Nie, Rong Wang, Fei Wang, Xuelong Li
2024 J jnl
Embedded Multi-label Feature Selection via Orthogonal Regression.
CoRR
Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu
2024 J jnl
Ensemble Clustering With Attentional Representation.
IEEE Trans. Knowl. Data Eng.
Zhezheng Hao, Zhoumin Lu, Guoxu Li, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Clustering With Anchor Guidance.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li
2024 J jnl
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Jingjing Xue, Rong Wang, Liang Zhang, Xuelong Li
2024 J jnl
Fast Clustering via Maximizing Adaptively Within-Class Similarity.
IEEE Trans. Neural Networks Learn. Syst.
Jingjing Xue, Feiping Nie, Rong Wang, Liang Zhang, Xuelong Li
2024 J jnl
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Multiview Clustering by Optimal Graph Mining.
IEEE Trans. Neural Networks Learn. Syst.
Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method.
CoRR
Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2024 J jnl
Fast Sparse Discriminative K-Means for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Zhenyu Ma, Jingyu Wang, Xuelong Li
2024 J jnl
Fast anchor graph preserving projections.
Pattern Recognit.
Jikui Wang, Yiwen Wu, Bing Li, Zhenguo Yang, Feiping Nie
2024 J jnl
Fast correntropy-based multi-view clustering with prototype graph factorization.
Inf. Sci.
Ben Yang, Jinghan Wu, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen
2024 J jnl
Fuzzy Clustering From Subset-Clustering to Fullset-Membership.
IEEE Trans. Fuzzy Syst.
Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Generalized and Robust Least Squares Regression.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li
2024 J jnl
Geometric-inspired graph-based Incomplete Multi-view Clustering.
Pattern Recognit.
Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu
2024 J jnl
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zihua Zhao, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li
2024 J jnl
Harmonic cut: An efficient and directly solved balanced graph clustering.
Neurocomputing
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Hyperspherical Prototype Node Clustering.
Trans. Mach. Learn. Res.
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Interactive Supervision for New Intent Discovery.
IEEE Signal Process. Lett.
Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie
2024 J jnl
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Dongming Wu, Rong Wang, Feiping Nie, Fei Wang
2024 J jnl
Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning.
Expert Syst. Appl.
Yunlong Gao, Zhenghong Xu, Feiping Nie, Yisong Zhang, Qingyuan Zhu, Guifang Shao
2024 J jnl
Local sparse discriminative feature selection.
Inf. Sci.
Canyu Zhang, Shaojun Shi, Yanping Chen, Feiping Nie, Rong Wang
2024 J jnl
Local-Global Fuzzy Clustering With Anchor Graph.
IEEE Trans. Fuzzy Syst.
Jingyu Wang, Shengzhao Guo, Feiping Nie, Xuelong Li
2024 J jnl
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis.
IEEE Trans. Knowl. Data Eng.
Jie Mu, Feiping Nie, Wei Wang, Jian Xu, Jing Zhang, Han Liu
2024 A* conf
Multi-Class Support Vector Machine with Maximizing Minimum Margin.
AAAI
Feiping Nie, Zhezheng Hao, Rong Wang
2024 Misc conf
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning.
ICASSP
Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang
2024 J jnl
Multi-View and Multi-Order Structured Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Rong Wang, Penglei Wang, Danyang Wu, Zhensheng Sun, Feiping Nie, Xuelong Li
2024 J jnl
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm.
Inf. Fusion
Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie
2024 J jnl
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement.
Inf. Fusion
Jintang Bian, Xiaohua Xie, Jian-Huang Lai, Feiping Nie
2024 J jnl
Multiview Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst.
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
2024 J jnl
Neural collapse inspired semi-supervised learning with fixed classifier.
Inf. Sci.
Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie
2024 J jnl
New approach for learning structured graph with Laplacian rank constraint.
Neurocomputing
Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Normalized Robust PCA With Adaptive Reconstruction Error Minimization.
IEEE Trans. Knowl. Data Eng.
Yunlong Gao, Yuzhe Feng, Youwei Xie, Jinyan Pan, Feiping Nie
2024 J jnl
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li
2024 Misc conf
Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints.
ICASSP
Jie Wang, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2024 J jnl
Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace.
IEEE Trans. Knowl. Data Eng.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 J jnl
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting.
CoRR
Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li
2024 J jnl
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li
2024 J jnl
Parameter-free ensemble clustering with dynamic weighting mechanism.
Pattern Recognit.
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2024 A* conf
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection.
IJCAI
Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie
2024 J jnl
Prediction consistency regularization for Generalized Category Discovery.
Inf. Fusion
Yu Duan, Junzhi He, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
2024 J jnl
Principal Component Analysis With Fuzzy Elastic Net for Feature Selection.
IEEE Trans. Fuzzy Syst.
Yunlong Gao, Qinting Wu, Zhenghong Xu, Chao Cao, Jinyan Pan, Guifang Shao, Feiping Nie, Qingyuan Zhu
2024 J jnl
Projected fuzzy c-means clustering algorithm with instance penalty.
Expert Syst. Appl.
Jikui Wang, Yiwen Wu, Xueyan Huang, Cuihong Zhang, Feiping Nie
2024 J jnl
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Yongjin Yuan, Rong Wang, Feiping Nie, Qinghua Huang, Xuelong Li
2024 J jnl
Robust Capped lp-Norm Support Vector Ordinal Regression.
CoRR
Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang, Feiping Nie, Xuelong Li
2024 J jnl
Robust Discriminant Embedding Projection Fuzzy Clustering With Optimal Mean.
IEEE Trans. Fuzzy Syst.
Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li
2024 J jnl
Robust Principal Component Analysis Based on Fuzzy Local Information Reservation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yunlong Gao, Xinjing Wang, Jiaxin Xie, Jinyan Pan, Peng Yan, Feiping Nie
2024 J jnl
Robust Principal Component Analysis via Joint Reconstruction and Projection.
IEEE Trans. Neural Networks Learn. Syst.
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2024 J jnl
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Jintang Bian, Dandan Zhao, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Robust autoencoder feature selector for unsupervised feature selection.
Inf. Sci.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li
2024 J jnl
Robust spectral embedded bilateral orthogonal concept factorization for clustering.
Pattern Recognit.
Ben Yang, Jinghan Wu, Yu Zhou, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen
2024 J jnl
Row-Sparse Principal Component Analysis via Coordinate Descent Method.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li
2024 J jnl
Scalable and parameter-free fusion graph learning for multi-view clustering.
Neurocomputing
Yu Duan, Danyang Wu, Rong Wang, Xuelong Li, Feiping Nie
2024 A* conf
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.
ICLR
Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
2024 J jnl
Self-adjusted graph based semi-supervised embedded feature selection.
Artif. Intell. Rev.
Jianyong Zhu, Jiaying Zheng, Zhenchen Zhou, Qiong Ding, Feiping Nie
2024 J jnl
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Hebing Nie, Qi Li, Zheng Wang, Haifeng Zhao, Feiping Nie
2024 J jnl
Side-constrained graph fusion for semi-supervised multi-view clustering.
Neurocomputing
Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li
2024 — conf
Simple Multigraph Convolution Networks.
WWW (Companion Volume)
Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
2024 J jnl
Simple Multigraph Convolution Networks.
CoRR
Danyang Wu, Xinjie Shen, Jitao Lu, Jin Xu, Feiping Nie
2024 J jnl
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection.
J. Classif.
Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong
2024 J jnl
Sparse K-means clustering algorithm with anchor graph regularization.
Inf. Sci.
Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie
2024 J jnl
Sparse Trace Ratio LDA for Supervised Feature Selection.
IEEE Trans. Cybern.
Zhengxin Li, Feiping Nie, Danyang Wu, Zheng Wang, Xuelong Li
2024 J jnl
Spectral clustering with linear embedding: A discrete clustering method for large-scale data.
Pattern Recognit.
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang
2024 J jnl
Structure preserved fast dimensionality reduction.
Appl. Soft Comput.
Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie
2024 J jnl
Supervised Feature Selection via Multi-Center and Local Structure Learning.
IEEE Trans. Knowl. Data Eng.
Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
T-distributed Stochastic Neighbor Network for unsupervised representation learning.
Neural Networks
Zheng Wang, Jiaxi Xie, Feiping Nie, Rong Wang, Yanyan Jia, Shichang Liu
2024 J jnl
Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Chang, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Top-k discriminative feature selection with uncorrelated and ℓ2, 0-norm equation constraints.
Neurocomputing
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
2024 J jnl
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks.
IEEE Trans. Neural Networks Learn. Syst.
Zheng Wang, Feiping Nie, Hua Wang, Heng Huang, Fei Wang
2024 A* conf
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.
WWW
Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie
2024 J jnl
Unsupervised Deep Embedding for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst.
Runxin Zhang, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Unsupervised Feature Selection With Flexible Optimal Graph.
IEEE Trans. Neural Networks Learn. Syst.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
2024 J jnl
Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2024 J jnl
YOLO-RDFEA: Object Detection in RD Imagery With Improved YOLOv8 Based on Feature Enhancement and Attention Mechanisms.
IEEE Access
Jian Yang, Mengchen Dong, Chuanxiang Li, Feiping Nie
2023 J jnl
$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means.
IEEE Trans. Fuzzy Syst.
Qiang Chen, Feiping Nie, Weizhong Yu, Xuelong Li
2023 J jnl
A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
A Novel Normalized-Cut Solver with Nearest Neighbor Hierarchical Initialization.
CoRR
Feiping Nie, Jitao Lu, Danyang Wu, Rong Wang, Xuelong Li
2023 J jnl
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity.
Neural Networks
Jikui Wang, Yiwen Wu, Shaobo Li, Feiping Nie
2023 J jnl
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer.
CoRR
Bo Jiang, Fei Xu, Ziyan Zhang, Jin Tang, Feiping Nie
2023 J jnl
Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis.
IEEE Trans. Cybern.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
2023 J jnl
An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng.
Quan Wang, Fei Wang, Fuji Ren, Zhongheng Li, Feiping Nie
2023 J jnl
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Ziheng Li, Rong Wang, Xuelong Li
2023 J jnl
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels.
Knowl. Based Syst.
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
2023 J jnl
Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering.
Inf. Sci.
Mingyu Zhao, Weidong Yang, Feiping Nie
2023 J jnl
Calibrated multi-task subspace learning via binary group structure constraint.
Inf. Sci.
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Cauchy balanced nonnegative matrix factorization.
Artif. Intell. Rev.
He Xiong, Deguang Kong, Feiping Nie
2023 J jnl
Centerless Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Deep graph reconstruction for multi-view clustering.
Neural Networks
Mingyu Zhao, Weidong Yang, Feiping Nie
2023 J jnl
Deep multi-view spectral clustering via ensemble.
Pattern Recognit.
Mingyu Zhao, Weidong Yang, Feiping Nie
2023 J jnl
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Discrete and Balanced Spectral Clustering With Scalability.
IEEE Trans. Pattern Anal. Mach. Intell.
Rong Wang, Huimin Chen, Yihang Lu, Qianrong Zhang, Feiping Nie, Xuelong Li
2023 J jnl
Discriminative Projected Clustering via Unsupervised LDA.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
2023 J jnl
Discriminative projection fuzzy K-Means with adaptive neighbors.
Pattern Recognit. Lett.
Jingyu Wang, Yidi Wang, Feiping Nie, Xuelong Li
2023 J jnl
ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization.
IEEE Trans. Neural Networks Learn. Syst.
Ben Yang, Xuetao Zhang, Feiping Nie, Badong Chen, Fei Wang, Zhixiong Nan, Nanning Zheng
2023 J jnl
Effective Clustering via Structured Graph Learning.
IEEE Trans. Knowl. Data Eng.
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
2023 J jnl
Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs.
IEEE Trans. Knowl. Data Eng.
Ben Yang, Xuetao Zhang, Zhongheng Li, Feiping Nie, Fei Wang
2023 A* conf
Efficient Top-K Feature Selection Using Coordinate Descent Method.
AAAI
Lei Xu, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Efficient random subspace decision forests with a simple probability dimensionality setting scheme.
Inf. Sci.
Quan Wang, Fei Wang, Zhongheng Li, Peilin Jiang, Fuji Ren, Feiping Nie
2023 J jnl
Elaborate multi-task subspace learning with discrete group constraint.
Pattern Recognit.
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Enhanced Robust Fuzzy K-Means Clustering joint ℓ0-norm constraint.
Neurocomputing
Jingyu Wang, Xinru Zhang, Feiping Nie, Xuelong Li
2023 J jnl
Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery.
Signal Process.
Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie
2023 J jnl
Fast Multi-View Clustering via Prototype Graph.
IEEE Trans. Knowl. Data Eng.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Fast Optimization of Spectral Embedding and Improved Spectral Rotation.
IEEE Trans. Knowl. Data Eng.
Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie
2023 J jnl
Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint.
IEEE Trans. Knowl. Data Eng.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Fast neighborhood reconstruction with adaptive weights learning.
Knowl. Based Syst.
Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li
2023 J jnl
Fast orthogonal locality-preserving projections for unsupervised feature selection.
Neurocomputing
Jianyong Zhu, Jingwei Chen, Bin Xu, Hui Yang, Feiping Nie
2023 J jnl
Fast semi-supervised self-training algorithm based on data editing.
Inf. Sci.
Bing Li, Jikui Wang, Zhengguo Yang, Jihai Yi, Feiping Nie
2023 J jnl
Fast spectral clustering with self-adapted bipartite graph learning.
Inf. Sci.
Xiaojun Yang, Mingjun Zhu, Yongda Cai, Zheng Wang, Feiping Nie
2023 J jnl
Feature selection with multi-class logistic regression.
Neurocomputing
Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li
2023 J jnl
Fuzzy C-Multiple-Means Clustering for Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett.
Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie
2023 J jnl
Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors.
Appl. Intell.
Zhengguo Yang, Jikui Wang, Qiang Li, Jihai Yi, Xuewen Liu, Feiping Nie
2023 J jnl
Graph-Based Soft-Balanced Fuzzy Clustering.
IEEE Trans. Fuzzy Syst.
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Implicit Weight Learning for Multi-View Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Shaojun Shi, Jing Li, Xuelong Li
2023 J jnl
Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie, Zhengtao Yu
2023 J jnl
Iteratively Re-Weighted Method for Sparsity-Inducing Norms.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang
2023 J jnl
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2023 J jnl
Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition.
IEEE Trans. Ind. Informatics
Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2023 J jnl
Joint Feature Selection and Extraction With Sparse Unsupervised Projection.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li
2023 A* conf
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
NeurIPS
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
CoRR
Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
2023 J jnl
Joint Learning of Anchor Graph-Based Fuzzy Spectral Embedding and Fuzzy K-Means.
IEEE Trans. Fuzzy Syst.
Jianyong Zhu, Wenjie Zhao, Hui Yang, Feiping Nie
2023 J jnl
Large-Scale Clustering With Structured Optimal Bipartite Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Han Zhang, Feiping Nie, Xuelong Li
2023 J jnl
Learning Feature-Sparse Principal Subspace.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2023 J jnl
Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank.
IEEE Trans. Cybern.
Feiping Nie, Wei Chang, Rong Wang, Xuelong Li
2023 J jnl
Local Embedding Learning via Landmark-Based Dynamic Connections.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
MVCformer: A transformer-based multi-view clustering method.
Inf. Sci.
Mingyu Zhao, Weidong Yang, Feiping Nie
2023 J jnl
Max-Min Robust Principal Component Analysis.
Neurocomputing
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction.
IEEE Trans. Neural Networks Learn. Syst.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Multi-View Discrete Clustering: A Concise Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
2023 Misc conf
Multi-View K-Means with Laplacian Embedding.
ICASSP
Zhezheng Hao, Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Multi-class Support Vector Machine with Maximizing Minimum Margin.
CoRR
Feiping Nie, Zhezheng Hao, Rong Wang
2023 A* conf
Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion.
ACM Multimedia
Penglei Wang, Danyang Wu, Rong Wang, Feiping Nie
2023 J jnl
Multi-view semi-supervised learning with adaptive graph fusion.
Neurocomputing
Qianyao Qiang, Bin Zhang, Feiping Nie, Fei Wang
2023 Misc conf
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction.
ICASSP
Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li
2023 J jnl
Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization.
IEEE Trans. Neural Networks Learn. Syst.
Wei Chang, Feiping Nie, Yijie Zhi, Rong Wang, Xuelong Li
2023 J jnl
Mutual-Taught Deep Clustering.
Knowl. Based Syst.
Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie
2023 J jnl
NP
CoRR
Xinjie Shen, Danyang Wu, Jitao Lu, Junjie Liang, Jin Xu, Feiping Nie
2023 J jnl
Nonlinear Feature Selection Neural Network via Structured Sparse Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li
2023 J jnl
Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Reference-free low-light image enhancement by associating hierarchical wavelet representations.
Expert Syst. Appl.
Xiaojun Yang, Junhong Gong, Lianpei Wu, Zhijing Yang, Yukai Shi, Feiping Nie
2023 J jnl
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang
2023 J jnl
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning.
IEEE Trans. Knowl. Data Eng.
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Robust Principal Component Analysis Based on Discriminant Information.
IEEE Trans. Knowl. Data Eng.
Yunlong Gao, Tingting Lin, Yisong Zhang, Sizhe Luo, Feiping Nie
2023 J jnl
Robust Supervised and Semisupervised Least Squares Regression Using ℓ
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li
2023 J jnl
Robust anchor-based multi-view clustering via spectral embedded concept factorization.
Neurocomputing
Ben Yang, Jinghan Wu, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen
2023 J jnl
Robust rank-one matrix completion with rank estimation.
Pattern Recognit.
Ziheng Li, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Robust weighted co-clustering with global and local discrimination.
Pattern Recognit.
Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie
2023 J jnl
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means.
Inf. Sci.
Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li
2023 J jnl
Scalable Fuzzy Clustering With Anchor Graph.
IEEE Trans. Knowl. Data Eng.
Chaodie Liu, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis.
IEEE Trans. Multim.
Di Hu, Zheng Wang, Feiping Nie, Rong Wang, Xuelong Li
2023 J jnl
Self-Weighted Euler $k$-Means Clustering.
IEEE Signal Process. Lett.
Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie
2023 J jnl
Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors.
IEEE Trans. Knowl. Data Eng.
Zhen Wang, Long Zhang, Rong Wang, Feiping Nie, Xuelong Li
2023 A conf
Semi-Supervised Top-k Feature Selection with a General Optimization Framework.
ICME
Lei Xu, Rong Wang, Feiping Nie, Jun Wu, Xuelong Li
2023 J jnl
Simultaneous local clustering and unsupervised feature selection via strong space constraint.
Pattern Recognit.
Zheng Wang, Qi Li, Haifeng Zhao, Feiping Nie
2023 J jnl
Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengxin Li, Feiping Nie, Jintang Bian, Danyang Wu, Xuelong Li
2023 J jnl
Sparse and Flexible Projections for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li
2023 J jnl
Sparse feature selection via fast embedding spectral analysis.
Pattern Recognit.
Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li
2023 J jnl
Sparse robust subspace learning via boolean weight.
Inf. Fusion
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2023 J jnl
Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding.
IEEE Trans. Fuzzy Syst.
Jingwei Chen, Jianyong Zhu, Hongyun Jiang, Hui Yang, Feiping Nie
2023 J jnl
Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English-RomanUrdu Text.
Inf. Process. Manag.
Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie
2023 — conf
Transformer-Based Contrastive Multi-view Clustering via Ensembles.
ECML/PKDD (1)
Mingyu Zhao, Weidong Yang, Feiping Nie
2023 J jnl
Two-Dimensional Embedded Fuzzy Data Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong
2023 J jnl
Unsupervised Adaptive Bipartite Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie
2023 J jnl
Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors.
IEEE Trans. Cybern.
Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li
2023 Misc conf
Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint.
ICASSP
Yongjin Yuan, Zheng Wang, Feiping Nie, Xuelong Li
2023 J jnl
Unsupervised Optimized Bipartite Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jianyong Zhu, Lihong Tao, Hui Yang, Feiping Nie
2023 J jnl
Unsupervised Subspace Learning With Flexible Neighboring.
IEEE Trans. Neural Networks Learn. Syst.
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng.
Xueyuan Xu, Xia Wu, Fulin Wei, Wei Zhong, Feiping Nie
2022 J jnl
A Novel Formulation of Trace Ratio Linear Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li
2022 J jnl
A Survey of GPU Multitasking Methods Supported by Hardware Architecture.
IEEE Trans. Parallel Distributed Syst.
Chen Zhao, Wu Gao, Feiping Nie, Huiyang Zhou
2022 J jnl
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges.
CoRR
Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen
2022 B conf
A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization.
ICPR
Yihang Lu, Xuan Zheng, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
A general soft-balanced clustering framework based on a novel balance regularizer.
Signal Process.
Huimin Chen, Qianrong Zhang, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
A novel method for optimizing spectral rotation embedding K-means with coordinate descent.
Inf. Sci.
Jingwei Chen, Jianyong Zhu, Bingxia Feng, Shiyu Xie, Hui Yang, Feiping Nie
2022 J jnl
A portable clustering algorithm based on compact neighbors for face tagging.
Neural Networks
Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie
2022 J jnl
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2022 J jnl
Adaptive Neighborhood Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie
2022 J jnl
Adaptive neighborhood Metric learning.
CoRR
Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, Feiping Nie
2022 J jnl
Adaptive-order proximity learning for graph-based clustering.
Pattern Recognit.
Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Agglomerative Neural Networks for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2022 J jnl
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas.
Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2022 J jnl
An attention-based framework for multi-view clustering on Grassmann manifold.
Pattern Recognit.
Danyang Wu, Xia Dong, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Balanced Graph Cut With Exponential Inter-Cluster Compactness.
IEEE Trans. Artif. Intell.
Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li
2022 J jnl
Capped ℓp-norm linear discriminant analysis for robust projections learning.
Neurocomputing
Zheng Wang, Haojie Hu, Rong Wang, Qianrong Zhang, Feiping Nie, Xuelong Li
2022 J jnl
Confidence Regularized Label Propagation Based Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Wei Wang, Baopu Li, Mengzhu Wang, Feiping Nie, Zhihui Wang, Haojie Li
2022 J jnl
Coordinate Descent Method for $k$k-means.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jingjing Xue, Danyang Wu, Rong Wang, Hui Li, Xuelong Li
2022 J jnl
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering.
Neural Networks
Siyuan Peng, Zhijing Yang, Feiping Nie, Badong Chen, Zhiping Lin
2022 J jnl
Directly solving normalized cut for multi-view data.
Pattern Recognit.
Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2022 Misc conf
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning.
ICASSP
Yihang Lu, Jitao Lu, Rong Wang, Feiping Nie
2022 J jnl
Discrete and Parameter-Free Multiple Kernel k-Means.
IEEE Trans. Image Process.
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
2022 A* conf
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion.
IJCAI
Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan
2022 J jnl
Efficient and Robust MultiView Clustering With Anchor Graph Regularization.
IEEE Trans. Circuits Syst. Video Technol.
Ben Yang, Xuetao Zhang, Zhiping Lin, Feiping Nie, Badong Chen, Fei Wang
2022 J jnl
Efficient correntropy-based multi-view clustering with anchor graph embedding.
Neural Networks
Ben Yang, Xuetao Zhang, Badong Chen, Feiping Nie, Zhiping Lin, Zhixiong Nan
2022 J jnl
Entropy regularization for unsupervised clustering with adaptive neighbors.
Pattern Recognit.
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
2022 J jnl
FGC_SS: Fast Graph Clustering Method by Joint Spectral Embedding and Improved Spectral Rotation.
Inf. Sci.
Jingwei Chen, Jianyong Zhu, Shiyu Xie, Hui Yang, Feiping Nie
2022 J jnl
Fast Adaptive Local Subspace Learning With Regressive Regularization.
IEEE Signal Process. Lett.
Qiang Chen, Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean.
IEEE Trans. Knowl. Data Eng.
Shuangyan Yi, Feiping Nie, Yongsheng Liang, Wei Liu, Zhenyu He, Qingmin Liao
2022 J jnl
Fast Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst.
Feiping Nie, Chaodie Liu, Rong Wang, Zhen Wang, Xuelong Li
2022 J jnl
Fast Locality Discriminant Analysis With Adaptive Manifold Embedding.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
2022 J jnl
Fast Multi-View Semi-Supervised Learning With Learned Graph.
IEEE Trans. Knowl. Data Eng.
Bin Zhang, Qianyao Qiang, Fei Wang, Feiping Nie
2022 J jnl
Fast Multiview Clustering With Spectral Embedding.
IEEE Trans. Image Process.
Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang
2022 J jnl
Fast Self-Supervised Clustering With Anchor Graph.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
2022 J jnl
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett.
Xiaojun Yang, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin
2022 J jnl
Fast Unsupervised Projection for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li
2022 J jnl
Fast unsupervised embedding learning with anchor-based graph.
Inf. Sci.
Canyu Zhang, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Fuzzy K-Means Clustering With Discriminative Embedding.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li
2022 J jnl
Fuzzy Sparse Deviation Regularized Robust Principal Component Analysis.
IEEE Trans. Image Process.
Yunlong Gao, Tingting Lin, Jinyan Pan, Feiping Nie, Youwei Xie
2022 J jnl
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
2022 J jnl
Improved deep metric learning with local neighborhood component analysis.
Inf. Sci.
Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie
2022 J jnl
Improving projected fuzzy K-means clustering via robust learning.
Neurocomputing
Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Iteratively Reweighted Algorithm for Fuzzy $c$-Means.
IEEE Trans. Fuzzy Syst.
Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection.
Cogn. Comput.
Haifeng Zhao, Qi Li, Zheng Wang, Feiping Nie
2022 J jnl
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput.
Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 J jnl
Locality Adaptive Discriminant Analysis Framework.
IEEE Trans. Cybern.
Xuelong Li, Qi Wang, Feiping Nie, Mulin Chen
2022 J jnl
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation.
IEEE Trans. Knowl. Data Eng.
Junwei Han, Jinglin Xu, Feiping Nie, Xuelong Li
2022 J jnl
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data.
Medical Image Anal.
Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, Lei Chen
2022 J jnl
Multi-view clustering based on generalized low rank approximation.
Neurocomputing
Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Multi-view clustering with adaptive procrustes on Grassmann manifold.
Inf. Sci.
Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Multi-view unsupervised dimensionality reduction with probabilistic neighbors.
Neurocomputing
Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
2022 Misc conf
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation.
ICASSP
Jitao Lu, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuelong Li, Han Zhang, Rong Wang, Feiping Nie
2022 J jnl
On the Global Solution of Soft k-Means.
CoRR
Feiping Nie, Hong Chen, Rong Wang, Xuelong Li
2022 J jnl
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li
2022 J jnl
Progressive Self-Supervised Clustering With Novel Category Discovery.
IEEE Trans. Cybern.
Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li
2022 J jnl
Projected fuzzy C-means with probabilistic neighbors.
Inf. Sci.
Jikui Wang, Zhengguo Yang, Xuewen Liu, Bing Li, Jihai Yi, Feiping Nie
2022 J jnl
Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyu Wang, Hongmei Wang, Feiping Nie, Xuelong Li
2022 J jnl
Robust Matrix Completion With Column Outliers.
IEEE Trans. Cybern.
Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li
2022 J jnl
Robust Subspace Clustering With Low-Rank Structure Constraint.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li
2022 J jnl
S
IEEE Trans. Instrum. Meas.
Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 A conf
Scalable Multiple Kernel
CIKM
Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li
2022 A conf
Self-Paced and Discrete Multiple Kernel
CIKM
Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li
2022 J jnl
Self-weighted learning framework for adaptive locality discriminant analysis.
Pattern Recognit.
Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2022 J jnl
Self-weighting multi-view spectral clustering based on nuclear norm.
Pattern Recognit.
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification.
Neurocomputing
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression.
IEEE Trans. Cybern.
Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang
2022 J jnl
Semisupervised Feature Selection via Structured Manifold Learning.
IEEE Trans. Cybern.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao
2022 J jnl
Structured graph optimization for joint spectral embedding and clustering.
Neurocomputing
Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin
2022 J jnl
Subspace Sparse Discriminative Feature Selection.
IEEE Trans. Cybern.
Feiping Nie, Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
2022 J jnl
Subspace clustering by directly solving Discriminative K-means.
Knowl. Based Syst.
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan
2022 J jnl
Truncated Robust Principle Component Analysis With A General Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
2022 J jnl
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework.
CoRR
Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu
2022 J jnl
Unified dual-label semi-supervised learning with top-
Neurocomputing
Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li
2022 J jnl
Unsupervised Adaptive Embedding for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li
2022 J jnl
Unsupervised Discriminative Projection for Feature Selection.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li
2022 J jnl
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li
2022 J jnl
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Wei Zhu, Xuelong Li
2022 J jnl
When multi-view classification meets ensemble learning.
Neurocomputing
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2021 Misc conf
A Rank-Constrained Clustering Algorithm with Adaptive Embedding.
ICASSP
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
A Resource-Efficient Parallel Connected Component Labeling Algorithm and Its Hardware Implementation.
IEEE Trans. Multim.
Chen Zhao, Wu Gao, Feiping Nie
2021 J jnl
A semi-supervised learning algorithm via adaptive Laplacian graph.
Neurocomputing
Yuan Yuan, Xin Li, Qi Wang, Feiping Nie
2021 Misc conf
Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint.
ICASSP
Feiping Nie, Wei Chang, Xuelong Li, Jin Xu, Gongfu Li
2021 J jnl
Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction.
IEEE Signal Process. Lett.
Hong Chen, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Adaptive discriminant analysis for semi-supervised feature selection.
Inf. Sci.
Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2021 J jnl
An Efficient Density-based clustering algorithm for face groping.
Neurocomputing
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction.
IEEE Trans. Ind. Electron.
Qi Wang, Zequn Qin, Feiping Nie, Xuelong Li
2021 Misc conf
Dependence-Guided Multi-View Clustering.
ICASSP
Xia Dong, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Dimension reduction of multimodal data by auto-weighted local discriminant analysis.
Neurocomputing
Rongxiu Lu, Yingjie Cai, Jianyong Zhu, Feiping Nie, Hui Yang
2021 A* conf
Discrete Multiple Kernel k-means.
IJCAI
Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li
2021 J jnl
Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery.
CoRR
Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li
2021 Misc conf
Fast Local Representation Learning with Adaptive Anchor Graph.
ICASSP
Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2021 J jnl
Fast Manifold Ranking With Local Bipartite Graph.
IEEE Trans. Image Process.
Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie
2021 J jnl
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.
IEEE Trans. Image Process.
Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang
2021 A* conf
Fast Multi-view Discrete Clustering with Anchor Graphs.
AAAI
Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
2021 J jnl
Fast Semi-Supervised Learning With Optimal Bipartite Graph.
IEEE Trans. Knowl. Data Eng.
Fang He, Feiping Nie, Rong Wang, Haojie Hu, Weimin Jia, Xuelong Li
2021 J jnl
Fast local representation learning via adaptive anchor graph for image retrieval.
Inf. Sci.
Canyu Zhang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2021 J jnl
Flexible Multi-View Unsupervised Graph Embedding.
IEEE Trans. Image Process.
Bin Zhang, Qianyao Qiang, Fei Wang, Feiping Nie
2021 J jnl
Flexible multi-view semi-supervised learning with unified graph.
Neural Networks
Zhongheng Li, Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie
2021 J jnl
Fuzzy graph clustering.
Inf. Sci.
Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge
2021 A* conf
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data.
IJCAI
Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li
2021 J jnl
Generalization bottleneck in deep metric learning.
Inf. Sci.
Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang
2021 J jnl
Graph regularized nonnegative matrix factorization with label discrimination for data clustering.
Neurocomputing
Zhiwei Xing, Yingcang Ma, Xiaofei Yang, Feiping Nie
2021 A* conf
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations.
AAAI
Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie
2021 J jnl
Joint nonlinear feature selection and continuous values regression network.
Pattern Recognit. Lett.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2021 J jnl
Large Graph Clustering With Simultaneous Spectral Embedding and Discretization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Wang, Zhaoqing Li, Rong Wang, Feiping Nie, Xuelong Li
2021 J jnl
Learning to hash based on angularly discriminative embedding.
Inf. Sci.
Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Learning unsupervised node representation from multi-view network.
Inf. Sci.
Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming
2021 J jnl
Local structured feature learning with dynamic maximum entropy graph.
Pattern Recognit.
Zheng Wang, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
2021 J jnl
Low Rank Regularization: A review.
Neural Networks
Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Matrix completion with column outliers and sparse noise.
Inf. Sci.
Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Multi-Directional Multi-Label Learning.
Signal Process.
Danyang Wu, Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2021 Misc conf
Multi-Task Learning Via Sharing Inexact Low-Rank Subspace.
ICASSP
Xiaoqian Wang, Feiping Nie
2021 J jnl
Multi-View Clustering Based on Invisible Weights.
IEEE Signal Process. Lett.
Ziheng Li, Danyang Wu, Feiping Nie, Rong Wang, Zhensheng Sun, Xuelong Li
2021 J jnl
Multi-view clustering with interactive mechanism.
Neurocomputing
Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
2021 J jnl
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection.
Inf. Fusion
Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2021 — conf
NP-PROV: Neural Processes with Position-Relevant-Only Variances.
WISE (1)
Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah
2021 A conf
New Tight Relaxations of Rank Minimization for Multi-Task Learning.
CIKM
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
New Tight Relaxations of Rank Minimization for Multi-Task Learning.
CoRR
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2021 J jnl
Non-Greedy L21-Norm Maximization for Principal Component Analysis.
IEEE Trans. Image Process.
Feiping Nie, Lai Tian, Heng Huang, Chris Ding
2021 J jnl
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers.
IEEE Trans. Medical Imaging
Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Feiping Nie
2021 J jnl
Ratio sum formula for dimensionality reduction.
Multim. Tools Appl.
Ke Liang, Xiaojun Yang, Yuxiong Xu, Rong Wang, Feiping Nie
2021 J jnl
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
2021 J jnl
Self-weighted Robust LDA for Multiclass Classification with Edge Classes.
ACM Trans. Intell. Syst. Technol.
Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie
2021 J jnl
Semi-supervised multi-Layer convolution kernel learning in credit evaluation.
Pattern Recognit.
Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang
2021 J jnl
Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fang He, Feiping Nie, Rong Wang, Weimin Jia, Fenggan Zhang, Xuelong Li
2021 J jnl
Structured Graph Optimization for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Wei Zhu, Xuelong Li
2021 J jnl
Structured Graph Reconstruction for Scalable Clustering.
IEEE Trans. Knowl. Data Eng.
Junwei Han, Kai Xiong, Feiping Nie, Xuelong Li
2021 J jnl
Supervised Feature Selection With Orthogonal Regression and Feature Weighting.
IEEE Trans. Neural Networks Learn. Syst.
Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie
2021 J jnl
Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
2021 J jnl
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
IEEE Trans. Knowl. Data Eng.
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang
2021 J jnl
Unsupervised and Semisupervised Projection With Graph Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Xia Dong, Xuelong Li
2021 J jnl
Weighted bilateral
Pattern Recognit.
Kun Song, Xiwen Yao, Feiping Nie, Xuelong Li, Mingliang Xu
2020 — conf
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition.
ICONIP (5)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie
2020 J jnl
A General Framework for Dimensionality Reduction of K-Means Clustering.
J. Classif.
Tong Wu, Yanni Xiao, Muhan Guo, Feiping Nie
2020 J jnl
A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System.
IEEE Trans. Circuits Syst. Video Technol.
Chen Zhao, Wu Gao, Feiping Nie
2020 J jnl
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie
2020 J jnl
A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li
2020 J jnl
A linear multivariate binary decision tree classifier based on K-means splitting.
Pattern Recognit.
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren
2020 J jnl
A study of deep learning methods for same-genre and cross-genre author profiling.
J. Intell. Fuzzy Syst.
Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie
2020 J jnl
Adaptive Local Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data
Feiping Nie, Zheng Wang, Rong Wang, Zhen Wang, Xuelong Li
2020 J jnl
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie
2020 J jnl
Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Shuangyan Yi, Zhenyu He, Xiao-Yuan Jing, Yi Li, Yiu-ming Cheung, Feiping Nie
2020 J jnl
Agglomerative Neural Networks for Multi-view Clustering.
CoRR
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2020 J jnl
Author profiling on bi-lingual tweets.
J. Intell. Fuzzy Syst.
Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab, Feiping Nie
2020 J jnl
Auto-weighted multi-view clustering via spectral embedding.
Neurocomputing
Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Auto-weighted multi-view co-clustering via fast matrix factorization.
Pattern Recognit.
Feiping Nie, Shaojun Shi, Xuelong Li
2020 J jnl
Capped ℓ
IEEE Signal Process. Lett.
Zheng Wang, Feiping Nie, Canyu Zhang, Rong Wang, Xuelong Li
2020 — conf
Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint.
ICA3PP (2)
Jikui Wang, Quanfu Shi, Zhengguo Yang, Feiping Nie
2020 J jnl
Co-Clustering Ensemble Based on Bilateral K-Means Algorithm.
IEEE Access
Hui Yang, Han Peng, Jianyong Zhu, Feiping Nie
2020 J jnl
Curriculum Audiovisual Learning.
CoRR
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
2020 J jnl
Decision Tree SVM: An extension of linear SVM for non-linear classification.
Neurocomputing
Feiping Nie, Wei Zhu, Xuelong Li
2020 J jnl
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization.
IEEE Trans. Fuzzy Syst.
Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie
2020 J jnl
Detecting Coherent Groups in Crowd Scenes by Multiview Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Qi Wang, Mulin Chen, Feiping Nie, Xuelong Li
2020 A* conf
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
IJCAI
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2020 J jnl
Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.
IEEE Trans. Image Process.
Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie
2020 J jnl
Double-Attentive Principle Component Analysis.
IEEE Signal Process. Lett.
Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li
2020 A* conf
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut.
NeurIPS
Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Enhanced Balanced Min Cut.
Int. J. Comput. Vis.
Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
2020 J jnl
Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU.
Future Gener. Comput. Syst.
Chen Zhao, Wu Gao, Feiping Nie, Fei Wang, Huiyang Zhou
2020 Misc conf
Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification.
ICASSP
Feiping Nie, Shenfei Pei, Rong Wang, Xuelong Li
2020 J jnl
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia
2020 J jnl
Fast adaptive neighbors clustering via embedded clustering.
Neurocomputing
Yijun Liu, Yongda Cai, Xiaojun Yang, Feiping Nie, Wujian Ye
2020 J jnl
Fast algorithm for large-scale subspace clustering by LRR.
IET Image Process.
De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao
2020 J jnl
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett.
Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie
2020 J jnl
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang
2020 J jnl
LABIN: Balanced Min Cut for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
2020 A* conf
Learning Feature Sparse Principal Subspace.
NeurIPS
Lai Tian, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance.
J. Comput. Biol.
Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie
2020 Misc conf
Multi-View Clustering Via Mixed Embedding Approximation.
ICASSP
Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Multi-View Scaling Support Vector Machines for Classification and Feature Selection.
IEEE Trans. Knowl. Data Eng.
Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li
2020 J jnl
Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.
Inf. Fusion
Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Multi-view spectral clustering via sparse graph learning.
Neurocomputing
Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li
2020 J jnl
Multiclass discriminant analysis via adaptive weighted scheme.
Neurocomputing
Haifeng Zhao, Bowen Zhang, Zheng Wang, Feiping Nie
2020 J jnl
Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li
2020 J jnl
Multiview Semi-Supervised Learning Model for Image Classification.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
2020 J jnl
NP-PROV: Neural Processes with Position-Relevant-Only Variances.
CoRR
Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie
2020 J jnl
On the optimal solution to maximum margin projection pursuit.
Multim. Tools Appl.
De-Yan Xie, Feiping Nie, Quanxue Gao
2020 J jnl
Optimal Projection Guided Transfer Hashing for Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Lei Zhang, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, David Zhang
2020 J jnl
Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.
IEEE Trans. Knowl. Data Eng.
Rong Wang, Feiping Nie, Zhen Wang, Haojie Hu, Xuelong Li
2020 J jnl
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie
2020 A* conf
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers.
CVPR
Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie
2020 Misc conf
Revisiting Fast Spectral Clustering with Anchor Graph.
ICASSP
Cheng-Long Wang, Feiping Nie, Rong Wang, Xuelong Li
2020 J jnl
Robust and Efficient Linear Discriminant Analysis With L
IEEE Access
Libo Yang, Xuemei Liu, Feiping Nie, Yang Liu
2020 J jnl
Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking.
IEEE Trans. Multim.
Cheng Deng, Xu Yang, Feiping Nie, Dapeng Tao
2020 J jnl
Self-Weighted Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst.
Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li
2020 J jnl
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes.
CoRR
Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie
2020 J jnl
Self-weighted collaborative representation for hyperspectral anomaly detection.
Signal Process.
Rong Wang, Haojie Hu, Fang He, Feiping Nie, Shubin Cai, Zhong Ming
2020 J jnl
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming
2020 J jnl
Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Shaojun Shi, Xuelong Li
2020 A* conf
Semi-supervised Clustering via Pairwise Constrained Optimal Graph.
IJCAI
Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
2020 J jnl
Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection.
CoRR
Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li
2020 J jnl
Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.
IEEE Trans. Cybern.
Yanwei Pang, Jin Xie, Feiping Nie, Xuelong Li
2020 J jnl
Structured Optimal Graph-Based Clustering With Flexible Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen
2020 J jnl
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.
IEEE Trans. Cybern.
Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2020 J jnl
Supervised Dimensionality Reduction Methods via Recursive Regression.
IEEE Trans. Neural Networks Learn. Syst.
Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding
2020 — conf
Unsupervised Deep Hashing with Structured Similarity Learning.
APWeb/WAIM (2)
Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie
2020 J jnl
WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks.
IEEE Trans. Multim.
Yuebin Wang, Liqiang Zhang, Feiping Nie, Xingang Li, Zhijun Chen, Faqiang Wang
2019 J jnl
A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization.
IEEE Trans. Image Process.
Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li
2019 J jnl
A Local and Global Discriminative Framework and Optimization for Balanced Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Junwei Han, Hanyang Liu, Feiping Nie
2019 J jnl
A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng.
Haifeng Zhao, Zheng Wang, Feiping Nie
2019 A* conf
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections.
AAAI
Di Ming, Chris Ding, Feiping Nie
2019 A conf
A Unified Weight Learning Paradigm for Multi-view Learning.
AISTATS
Lai Tian, Feiping Nie, Xuelong Li
2019 J jnl
Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol.
Suo Qiu, Feiping Nie, Xiangmin Xu, Chunmei Qing, Dong Xu
2019 J jnl
Adaptive graph weighting for multi-view dimensionality reduction.
Signal Process.
Xinyi Xu, Yanhua Yang, Cheng Deng, Feiping Nie
2019 J jnl
Adaptive-weighting discriminative regression for multi-view classification.
Pattern Recognit.
Muli Yang, Cheng Deng, Feiping Nie
2019 J jnl
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang
2019 J jnl
An efficient framework for unsupervised feature selection.
Neurocomputing
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
2019 J jnl
Deep Binary Reconstruction for Cross-Modal Hashing.
IEEE Trans. Multim.
Di Hu, Feiping Nie, Xuelong Li
2019 A* conf
Deep Multimodal Clustering for Unsupervised Audiovisual Learning.
CVPR
Di Hu, Feiping Nie, Xuelong Li
2019 Misc conf
Dense Multimodal Fusion for Hierarchically Joint Representation.
ICASSP
Di Hu, Chengze Wang, Feiping Nie, Xuelong Li
2019 J jnl
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis.
IEEE Trans. Cybern.
Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi
2019 J jnl
Discrete Multi-Graph Clustering.
IEEE Trans. Image Process.
Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie
2019 J jnl
Discrete Spectral Hashing for Efficient Similarity Retrieval.
IEEE Trans. Image Process.
Di Hu, Feiping Nie, Xuelong Li
2019 J jnl
Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression.
IEEE Trans. Knowl. Data Eng.
Tianji Pang, Feiping Nie, Junwei Han, Xuelong Li
2019 J jnl
Exploiting Combination Effect for Unsupervised Feature Selection by ℓ
IEEE Trans. Neural Networks Learn. Syst.
Xingzhong Du, Feiping Nie, Weiqing Wang, Yi Yang, Xiaofang Zhou
2019 J jnl
Feature Learning Viewpoint of AdaBoost and a New Algorithm.
CoRR
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Feature selection with multi-view data: A survey.
Inf. Fusion
Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei
2019 Misc conf
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
ICASSP
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2019 J jnl
Flexible unsupervised feature extraction for image classification.
Neural Networks
Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao
2019 J jnl
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie
2019 J jnl
Graph Structure Fusion for Multiview Clustering.
IEEE Trans. Knowl. Data Eng.
Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang
2019 J jnl
Harmonic Mean Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng.
Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang
2019 J jnl
Hierarchical Feature Selection for Random Projection.
IEEE Trans. Neural Networks Learn. Syst.
Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li
2019 J jnl
Intrinsic Weight Learning Approach for Multi-view Clustering.
CoRR
Feiping Nie, Jing Li, Xuelong Li
2019 — conf
Joint Identification of Network Hub Nodes by Multivariate Graph Inference.
MICCAI (3)
Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu
2019 J jnl
Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information.
IEEE Trans. Image Process.
Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li
2019 Misc conf
Joint Structured Graph Learning and Clustering Based on Concept Factorization.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki
2019 Misc conf
Joint Structured Graph Learning and Unsupervised Feature Selection.
ICASSP
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2019 A* conf
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters.
KDD
Feiping Nie, Cheng-Long Wang, Xuelong Li
2019 J jnl
Large-Scale Robust Semisupervised Classification.
IEEE Trans. Cybern.
Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng
2019 J jnl
Learning Feature Sparse Principal Components.
CoRR
Lai Tian, Feiping Nie, Xuelong Li
2019 A* conf
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances.
IJCAI
Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie
2019 A* conf
Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method.
IJCAI
Haoxuan Yang, Kai Liu, Hua Wang, Feiping Nie
2019 A* conf
Listen to the Image.
CVPR
Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
2019 J jnl
Listen to the Image.
CoRR
Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
2019 J jnl
Matrix Completion Based on Non-Convex Low-Rank Approximation.
IEEE Trans. Image Process.
Feiping Nie, Zhanxuan Hu, Xuelong Li
2019 J jnl
Modified fuzzy clustering with segregated cluster centroids.
Neurocomputing
Tong Wu, Yicang Zhou, Yanni Xiao, Deanna Needell, Feiping Nie
2019 J jnl
Multiview Consensus Graph Clustering.
IEEE Trans. Image Process.
Kun Zhan, Feiping Nie, Jing Wang, Yi Yang
2019 J jnl
Nuclear-norm based 2DLDA with application to face recognition.
Neurocomputing
Pu Zhang, Siyang Deng, Feiping Nie, Yang Liu, Xiangdong Zhang, Quanxue Gao
2019 J jnl
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
CoRR
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang
2019 J jnl
Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.
IEEE Trans. Image Process.
Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li
2019 Misc conf
Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation.
ICASSP
Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2019 J jnl
Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity.
CoRR
Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li
2019 J jnl
Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Rong Wang, Feiping Nie, Zhen Wang, Fang He, Xuelong Li
2019 J jnl
Scalable and Flexible Unsupervised Feature Selection.
Neural Comput.
Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie
2019 A* conf
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis.
AAAI
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie
2019 J jnl
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Feiping Nie, Xuelong Li
2019 J jnl
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Yanwei Pang, Bo Zhou, Feiping Nie
2019 J jnl
Spectral Embedded Adaptive Neighbors Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Qi Wang, Zequn Qin, Feiping Nie, Xuelong Li
2019 J jnl
Speed Up Similarity Search of Time Series Under Dynamic Time Warping.
IEEE Access
Zhengxin Li, Jiansheng Guo, Hailin Li, Tao Wu, Sheng Mao, Feiping Nie
2019 J jnl
Speed up dynamic time warpingof multivariate time series.
J. Intell. Fuzzy Syst.
Zhengxin Li, Fengming Zhang, Feiping Nie, Hailin Li, Jian Wang
2019 J jnl
Supervised feature selection with orthogonal regression and feature weighting.
CoRR
Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie
2019 Misc conf
Unsupervised Feature Selection Based on Reconstruction Error Minimization.
ICASSP
Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li
2019 J jnl
Unsupervised Feature Selection via Adaptive Multimeasure Fusion.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Feiping Nie, Yunhai Wang, Xuelong Li
2019 A* conf
Worst-Case Discriminative Feature Selection.
IJCAI
Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang
2018 J jnl
A Comprehensive Survey for Low Rank Regularization.
CoRR
Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li
2018 Misc conf
A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.
ICASSP
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
2018 J jnl
A Multiview Learning Framework With a Linear Computational Cost.
IEEE Trans. Cybern.
Xiaowei Xue, Feiping Nie, Zhihui Li, Sen Wang, Xue Li, Min Yao
2018 J jnl
Adaptive Neighborhood MinMax Projections.
Neurocomputing
Haifeng Zhao, Zheng Wang, Feiping Nie
2018 J jnl
Adaptive Unsupervised Feature Selection With Structure Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2018 J jnl
An improved locality preserving projection with ℓ
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang
2018 J jnl
An investigation for loss functions widely used in machine learning.
Commun. Inf. Syst.
Feiping Nie, Zhanxuan Hu, Xuelong Li
2018 J jnl
Angle 2DPCA: A New Formulation for 2DPCA.
IEEE Trans. Cybern.
Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie
2018 J jnl
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Process.
Feiping Nie, Guohao Cai, Jing Li, Xuelong Li
2018 J jnl
Auto-weighted 2-dimensional maximum margin criterion.
Pattern Recognit.
Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li
2018 A* conf
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach.
AAAI
Zhihui Li, Feiping Nie, Xiaojun Chang, Zhigang Ma, Yi Yang
2018 A* conf
Calibrated Multi-Task Learning.
KDD
Feiping Nie, Zhanxuan Hu, Xuelong Li
2018 J jnl
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 J jnl
Deep Co-Clustering for Unsupervised Audiovisual Learning.
CoRR
Di Hu, Feiping Nie, Xuelong Li
2018 J jnl
Deep LDA Hashing.
CoRR
Di Hu, Feiping Nie, Xuelong Li
2018 J jnl
Dense Multimodal Fusion for Hierarchically Joint Representation.
CoRR
Di Hu, Feiping Nie, Xuelong Li
2018 Misc conf
Directly Solving the Original Ratiocut Problem for Effective Data Clustering.
ICASSP
Jing Li, Feiping Nie, Xuelong Li
2018 J jnl
Discriminant Analysis via Joint Euler Transform and ℓ
IEEE Trans. Image Process.
Shuangli Liao, Quanxue Gao, Zhaohua Yang, Fang Chen, Feiping Nie, Jungong Han
2018 A* conf
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
AAAI
Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing
2018 J jnl
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features.
IEEE Trans. Neural Networks Learn. Syst.
Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang, Chengqi Zhang, Nicu Sebe
2018 J jnl
Efficient tree classifiers for large scale datasets.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang
2018 A conf
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information.
CIKM
Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li
2018 J jnl
Euler Label Consistent K-SVD for image classification and action recognition.
Neurocomputing
Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui
2018 J jnl
Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process.
Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li
2018 J jnl
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl.
Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu
2018 B conf
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.
ICIP
Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li
2018 J jnl
Feature selection under regularized orthogonal least square regression with optimal scaling.
Neurocomputing
Rui Zhang, Feiping Nie, Xuelong Li
2018 J jnl
Flexible Manifold Learning With Optimal Graph for Image and Video Representation.
IEEE Trans. Image Process.
Wei Wang, Yan Yan, Feiping Nie, Shuicheng Yan, Nicu Sebe
2018 J jnl
LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification.
IEEE Trans. Geosci. Remote. Sens.
Yuebin Wang, Liqiang Zhang, Xiaohua Tong, Feiping Nie, Haiyang Huang, Jie Mei
2018 A* conf
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances.
CVPR
Kai Liu, Hua Wang, Feiping Nie, Hao Zhang
2018 J jnl
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang
2018 J jnl
Local Regression and Global Information-Embedded Dimension Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Chao Yao, Junwei Han, Feiping Nie, Fu Xiao, Xuelong Li
2018 B conf
Locality-Based Discriminant Feature Selection with Trace Ratio.
ICIP
Muhan Guo, Sheng Yang, Feiping Nie, Xuelong Li
2018 J jnl
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 J jnl
Matrix completion and vector completion via robust subspace learning.
Neurocomputing
Zhe Liu, Zhanxuan Hu, Feiping Nie
2018 J jnl
Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery.
IEEE Trans. Image Process.
Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, Brian C. Lovell
2018 A* conf
Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification.
AAAI
Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu
2018 J jnl
Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang
2018 A* conf
Multiview Clustering via Adaptively Weighted Procrustes.
KDD
Feiping Nie, Lai Tian, Xuelong Li
2018 A* conf
New l
AAAI
Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie
2018 J jnl
Nuclear-norm based semi-supervised multiple labels learning.
Neurocomputing
Yang Liu, Feiping Nie, Quanxue Gao
2018 Misc conf
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 J jnl
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang
2018 J jnl
Rank-Constrained Spectral Clustering With Flexible Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang
2018 J jnl
Rank-k 2-D Multinomial Logistic Regression for Matrix Data Classification.
IEEE Trans. Neural Networks Learn. Syst.
Kun Song, Feiping Nie, Junwei Han, Xuelong Li
2018 J jnl
Ranking with Adaptive Neighbors.
CoRR
Muge Li, Liangyue Li, Feiping Nie
2018 J jnl
Regularized Singular Value Decomposition and Application to Recommender System.
CoRR
Shuai Zheng, Chris H. Q. Ding, Feiping Nie
2018 B conf
Robust Low Rank Approxiamtion via Inliers Selection.
ICIP
Zhanxuan Hu, Feiping Nie, Xuelong Li
2018 J jnl
Robust Object Co-Segmentation Using Background Prior.
IEEE Trans. Image Process.
Junwei Han, Rong Quan, Dingwen Zhang, Feiping Nie
2018 J jnl
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.
Neurocomputing
Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi
2018 J jnl
Robust principal component analysis via optimal mean by joint ℓ
Neurocomputing
Xiaoshuang Shi, Feiping Nie, Zhihui Lai, Zhenhua Guo
2018 J jnl
SVM based multi-label learning with missing labels for image annotation.
Pattern Recognit.
Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie
2018 B conf
Self-Weighted Adaptive Locality Discriminant Analysis.
ICIP
Muhan Guo, Feiping Nie, Xuelong Li
2018 J jnl
Self-Weighted Supervised Discriminative Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Feiping Nie, Xuelong Li
2018 J jnl
Self-weighted discriminative feature selection via adaptive redundancy minimization.
Neurocomputing
Tong Wu, Yicang Zhou, Rui Zhang, Yanni Xiao, Feiping Nie
2018 J jnl
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition.
IEEE Trans. Knowl. Data Eng.
Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
2018 A* conf
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
KDD
Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang
2018 J jnl
Spectral clustering based on iterative optimization for large-scale and high-dimensional data.
Neurocomputing
Yang Zhao, Yuan Yuan, Feiping Nie, Qi Wang
2018 B conf
Unsupervised Feature Selection with Local Structure Learning.
ICIP
Sheng Yang, Feiping Nie, Xuelong Li
2018 J jnl
Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models.
IEEE Trans. Multim.
Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie, Xueming Qian, Xuelong Li
2018 J jnl
ℓ
IEEE Trans. Image Process.
Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017 J jnl
2D Feature Selection by Sparse Matrix Regression.
IEEE Trans. Image Process.
Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2017 A* conf
A Multiview-Based Parameter Free Framework for Group Detection.
AAAI
Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang
2017 J jnl
A Non-Greedy Algorithm for L1-Norm LDA.
IEEE Trans. Image Process.
Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li
2017 A* conf
A Self-Balanced Min-Cut Algorithm for Image Clustering.
ICCV
Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu
2017 J jnl
A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.
Neural Comput.
De Cheng, Feiping Nie, Jiande Sun, Yihong Gong
2017 J jnl
A generalized power iteration method for solving quadratic problem on the Stiefel manifold.
Sci. China Inf. Sci.
Feiping Nie, Rui Zhang, Xuelong Li
2017 J jnl
A generalized power iteration method for solving quadratic problem on the Stiefel manifold.
CoRR
Feiping Nie, Rui Zhang, Xuelong Li
2017 J jnl
A graph regularized dimension reduction method for out-of-sample data.
Neurocomputing
Mengfan Tang, Feiping Nie, Ramesh C. Jain
2017 A* conf
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
IJCAI
Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng
2017 A* conf
Angle Principal Component Analysis.
IJCAI
Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017 Misc conf
Auto-weighted two-dimensional principal component analysis with robust outliers.
ICASSP
Rui Zhang, Feiping Nie, Xuelong Li
2017 J jnl
Avoiding Optimal Mean ℓ
Neural Comput.
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2017 A* conf
Balanced Clustering with Least Square Regression.
AAAI
Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li
2017 J jnl
Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis.
IEEE Trans. Knowl. Data Eng.
Zhihui Li, Feiping Nie, Xiaojun Chang, Yi Yang
2017 A* conf
Bilateral k-Means Algorithm for Fast Co-Clustering.
AAAI
Junwei Han, Kun Song, Feiping Nie, Xuelong Li
2017 J jnl
Convex Multiview Semi-Supervised Classification.
IEEE Trans. Image Process.
Feiping Nie, Jing Li, Xuelong Li
2017 A* conf
Convolutional 2D LDA for Nonlinear Dimensionality Reduction.
IJCAI
Qi Wang, Zequn Qin, Feiping Nie, Yuan Yuan
2017 A* conf
Deep Binary Reconstruction for Cross-modal Hashing.
ACM Multimedia
Xuelong Li, Di Hu, Feiping Nie
2017 J jnl
Deep Binary Reconstruction for Cross-modal Hashing.
CoRR
Xuelong Li, Di Hu, Feiping Nie
2017 Misc conf
Embedded clustering via robust orthogonal least square discriminant analysis.
ICASSP
Rui Zhang, Feiping Nie, Xuelong Li
2017 J jnl
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Rong Wang, Feiping Nie, Weizhong Yu
2017 Misc conf
Fast Spectral Clustering with efficient large graph construction.
ICASSP
Wei Zhu, Feiping Nie, Xuelong Li
2017 J jnl
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process.
Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu
2017 A* conf
Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines.
IJCAI
Jinglin Xu, Feiping Nie, Junwei Han
2017 A* conf
Flexible Orthogonal Neighborhood Preserving Embedding.
IJCAI
Tianji Pang, Feiping Nie, Junwei Han
2017 J jnl
From Photo Streams to Evolving Situations.
CoRR
Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh C. Jain
2017 A* conf
Joint Capped Norms Minimization for Robust Matrix Recovery.
IJCAI
Feiping Nie, Zhouyuan Huo, Heng Huang
2017 A* conf
Large Graph Hashing with Spectral Rotation.
AAAI
Xuelong Li, Di Hu, Feiping Nie
2017 Misc conf
Largest center-specific margin for dimension reduction.
ICASSP
Jian'an Zhang, Yuan Yuan, Feiping Nie, Qi Wang
2017 — conf
Learning A Structured Optimal Bipartite Graph for Co-Clustering.
NIPS
Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang
2017 J jnl
Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data.
Comput. Graph. Forum
Yunhai Wang, Jingting Li, Feiping Nie, Holger Theisel, Minglun Gong, Dirk J. Lehmann
2017 A* conf
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction.
IJCAI
Kai Xiong, Feiping Nie, Junwei Han
2017 A* conf
Local Centroids Structured Non-Negative Matrix Factorization.
AAAI
Hongchang Gao, Feiping Nie, Heng Huang
2017 J jnl
Local PurTree Spectral Clustering for Massive Customer Transaction Data.
IEEE Intell. Syst.
Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming
2017 J jnl
Local Shrunk Discriminant Analysis (LSDA).
CoRR
Zan Gao, Guotai Zhang, Feiping Nie, Hua Zhang
2017 A* conf
Locality Adaptive Discriminant Analysis.
IJCAI
Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang
2017 A* conf
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
IJCAI
Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
2017 A* conf
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours.
AAAI
Feiping Nie, Guohao Cai, Xuelong Li
2017 A* conf
Multi-View Correlated Feature Learning by Uncovering Shared Component.
AAAI
Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao
2017 J jnl
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight.
IEEE Trans. Knowl. Data Eng.
Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
2017 J jnl
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal.
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu
2017 A* conf
Multi-view Feature Learning with Discriminative Regularization.
IJCAI
Jinglin Xu, Junwei Han, Feiping Nie
2017 A* conf
Multiclass Capped ℓp-Norm SVM for Robust Classifications.
AAAI
Feiping Nie, Xiaoqian Wang, Heng Huang
2017 J jnl
Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery.
Neural Comput.
Yan-shuo Chang, Feiping Nie, Mingyu Wang
2017 J jnl
Optimal mean two-dimensional principal component analysis with F-norm minimization.
Pattern Recognit.
Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017 A* conf
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering.
IJCAI
Junwei Han, Kai Xiong, Feiping Nie
2017 A* conf
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning.
AAAI
Kun Song, Feiping Nie, Junwei Han, Xuelong Li
2017 A* conf
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling.
AAAI
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2017 B conf
Projected clustering via robust orthogonal least square regression with optimal scaling.
IJCNN
Rui Zhang, Feiping Nie, Xuelong Li
2017 J jnl
Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering.
IEEE Trans. Image Process.
Jinglin Xu, Junwei Han, Feiping Nie, Xuelong Li
2017 J jnl
Refined Spectral Clustering via Embedded Label Propagation.
Neural Comput.
Yan-shuo Chang, Feiping Nie, Zhihui Li, Xiaojun Chang, Heng Huang
2017 J jnl
Regularized Class-Specific Subspace Classifier.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhang, Feiping Nie, Xuelong Li
2017 J jnl
Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering.
IEEE Trans. Image Process.
Xiwen Yao, Junwei Han, Dingwen Zhang, Feiping Nie
2017 J jnl
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression.
IEEE Trans. Image Process.
Hong Tao, Chenping Hou, Feiping Nie, Jubo Zhu, Dongyun Yi
2017 A* conf
Scalable Normalized Cut with Improved Spectral Rotation.
IJCAI
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang
2017 A* conf
Self-weighted Multiview Clustering with Multiple Graphs.
IJCAI
Feiping Nie, Jing Li, Xuelong Li
2017 J jnl
Self-weighted spectral clustering with parameter-free constraint.
Neurocomputing
Rui Zhang, Feiping Nie, Xuelong Li
2017 A* conf
Semi-Supervised Classifications via Elastic and Robust Embedding.
AAAI
Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang
2017 A* conf
Semi-supervised Feature Selection via Rescaled Linear Regression.
IJCAI
Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang
2017 A* conf
Semi-supervised Orthogonal Graph Embedding with Recursive Projections.
IJCAI
Hanyang Liu, Junwei Han, Feiping Nie
2017 Misc conf
Semi-supervised classification via both label and side information.
ICASSP
Rui Zhang, Feiping Nie, Xuelong Li
2017 J jnl
Semi-supervised learning on large-scale geotagged photos for situation recognition.
J. Vis. Commun. Image Represent.
Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh C. Jain
2017 J jnl
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction.
CoRR
Yanwei Pang, Bo Zhou, Feiping Nie
2017 A* conf
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
IJCAI
Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang
2017 A* conf
Two dimensional Large Margin Nearest Neighbor for Matrix Classification.
IJCAI
Kun Song, Feiping Nie, Junwei Han
2017 J jnl
Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.
Neural Comput.
Xiaowei Zhao, Feiping Nie, Sen Wang, Jun Guo, Pengfei Xu, Xiaojiang Chen
2017 A* conf
Unsupervised Large Graph Embedding.
AAAI
Feiping Nie, Wei Zhu, Xuelong Li
2017 J jnl
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph.
IEEE Trans. Knowl. Data Eng.
Wenzhang Zhuge, Feiping Nie, Chenping Hou, Dongyun Yi
2016 J jnl
A Closed Form Solution to Multi-View Low-Rank Regression.
CoRR
Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2016 B conf
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
ICTAI
Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016 J jnl
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
CoRR
Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang
2016 A conf
A graph based multimodal geospatial interpolation framework.
ICME
Mengfan Tang, Pranav Agrawal, Feiping Nie, Siripen Pongpaichet, Ramesh C. Jain
2016 A* conf
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ
IJCAI
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
2016 A* conf
Capped Lp-Norm Graph Embedding for Photo Clustering.
ACM Multimedia
Mengfan Tang, Feiping Nie, Ramesh C. Jain
2016 J jnl
Compound Rank-k Projections for Bilinear Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang
2016 J jnl
Convex Sparse PCA for Unsupervised Feature Learning.
ACM Trans. Knowl. Discov. Data
Xiaojun Chang, Feiping Nie, Yi Yang, Chengqi Zhang, Heng Huang
2016 A* conf
Discriminative Vanishing Component Analysis.
AAAI
Chenping Hou, Feiping Nie, Dacheng Tao
2016 A* conf
Discriminatively Embedded K-Means for Multi-view Clustering.
CVPR
Jinglin Xu, Junwei Han, Feiping Nie
2016 J jnl
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Networks Learn. Syst.
Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang
2016 J jnl
Effective Discriminative Feature Selection With Nontrivial Solution.
IEEE Trans. Neural Networks Learn. Syst.
Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
2016 A* conf
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering.
IJCAI
De Wang, Feiping Nie, Heng Huang
2016 A* conf
Graph-without-cut: An Ideal Graph Learning for Image Segmentation.
AAAI
Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen
2016 J jnl
Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling.
IEEE Multim.
Luming Zhang, Yi Yang, Feiping Nie, Ling Shao
2016 J jnl
Image Classification by Cross-Media Active Learning With Privileged Information.
IEEE Trans. Multim.
Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu
2016 A* conf
Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration.
ACM Multimedia
Jingkuan Song, Lianli Gao, Mihai Marian Puscas, Feiping Nie, Fumin Shen, Nicu Sebe
2016 A* conf
Learning Task Relational Structure for Multi-task Feature Learning.
ICDM
De Wang, Feiping Nie, Heng Huang
2016 Misc conf
Learning from less for better: semi-supervised activity recognition via shared structure discovery.
UbiComp
Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang
2016 A* conf
New l1-Norm Relaxations and Optimizations for Graph Clustering.
AAAI
Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang
2016 J jnl
Non-Greedy L21-Norm Maximization for Principal Component Analysis.
CoRR
Feiping Nie, Heng Huang
2016 A* conf
Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking.
CVPR
Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie
2016 J jnl
On the schatten norm for matrix based subspace learning and classification.
Neurocomputing
Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie
2016 J jnl
Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation.
IEEE Trans. Image Process.
Jingkuan Song, Lianli Gao, Feiping Nie, Heng Tao Shen, Yan Yan, Nicu Sebe
2016 J jnl
Orthogonal least squares regression for feature extraction.
Neurocomputing
Haifeng Zhao, Zheng Wang, Feiping Nie
2016 A* conf
Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification.
IJCAI
Feiping Nie, Jing Li, Xuelong Li
2016 — conf
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
MICCAI (1)
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
2016 A conf
Projective Unsupervised Flexible Embedding with Optimal Graph.
BMVC
Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda-Pineda, Shuicheng Yan, Nicu Sebe
2016 A* conf
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm.
KDD
Zhouyuan Huo, Feiping Nie, Heng Huang
2016 A* conf
Robust and Sparse Fuzzy K-Means Clustering.
IJCAI
Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie
2016 A* conf
Semi-Supervised Multi-label Dimensionality Reduction.
ICDM
Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi
2016 A* conf
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix.
KDD
Xiaoqian Wang, Feiping Nie, Heng Huang
2016 A* conf
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint.
IJCAI
Feiping Nie, Heng Huang
2016 A* conf
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering.
AAAI
Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang
2016 J jnl
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao
2016 — conf
Uncovering Locally Discriminative Structure for Feature Analysis.
ECML/PKDD (1)
Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
2016 J jnl
Uncovering Locally Discriminative Structure for Feature Analysis.
CoRR
Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
2016 A* conf
Unsupervised Feature Selection with Structured Graph Optimization.
AAAI
Feiping Nie, Wei Zhu, Xuelong Li
2016 B conf
Unsupervised automatic attribute discovery method via multi-graph clustering.
ICPR
Liangchen Liu, Feiping Nie, Teng Zhang, Arnold Wiliem, Brian C. Lovell
2016 B conf
Unsupervised feature extraction using a learned graph with clustering structure.
ICPR
Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi
2015 A* conf
A Closed Form Solution to Multi-View Low-Rank Regression.
AAAI
Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2015 A* conf
A Convex Formulation for Spectral Shrunk Clustering.
AAAI
Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou
2015 A* conf
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering.
IJCAI
Jin Huang, Feiping Nie, Heng Huang
2015 J jnl
Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers.
CoRR
Wenhao Jiang, Feiping Nie, Korris Fu-Lai Chung, Heng Huang
2015 J jnl
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Chenping Hou, Feiping Nie, Dongyun Yi, Dacheng Tao
2015 A* conf
Discriminative Unsupervised Dimensionality Reduction.
IJCAI
Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang
2015 J jnl
Effective Discriminative Feature Selection with Non-trivial Solutions.
CoRR
Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
2015 J jnl
Feature Selection via Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng.
De Wang, Feiping Nie, Heng Huang
2015 — conf
Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.
MICCAI (2)
Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaquín Goñi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang
2015 J jnl
Joint Schatten p-norm and ℓ
Knowl. Inf. Syst.
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2015 J jnl
Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization.
ACM Trans. Knowl. Discov. Data
Hua Wang, Feiping Nie, Heng Huang
2015 A* conf
Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
AAAI
Yeqing Li, Feiping Nie, Heng Huang, Junzhou Huang
2015 A* conf
Learning Robust Locality Preserving Projection via p-Order Minimization.
AAAI
Hua Wang, Feiping Nie, Heng Huang
2015 J jnl
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization.
Int. J. Comput. Vis.
Yi Yang, Zhigang Ma, Feiping Nie, Xiaojun Chang, Alexander G. Hauptmann
2015 A* conf
Multi-view Subspace Clustering.
ICCV
Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang
2015 J jnl
Multitask Spectral Clustering by Exploring Intertask Correlation.
IEEE Trans. Cybern.
Yang Yang, Zhigang Ma, Yi Yang, Feiping Nie, Heng Tao Shen
2015 A* conf
Optimal graph learning with partial tags and multiple features for image and video annotation.
CVPR
Lianli Gao, Jingkuan Song, Feiping Nie, Yan Yan, Nicu Sebe, Heng Tao Shen
2015 J jnl
Robust 2DPCA With Non-greedy ℓ
IEEE Trans. Cybern.
Rong Wang, Feiping Nie, Xiaojun Yang, Feifei Gao, Minli Yao
2015 A conf
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF.
CIKM
Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang
2015 A* conf
Robust Dictionary Learning with Capped l1-Norm.
IJCAI
Wenhao Jiang, Feiping Nie, Heng Huang
2015 — conf
Unsupervised Feature Analysis with Class Margin Optimization.
ECML/PKDD (1)
Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng
2015 J jnl
Unsupervised Feature Analysis with Class Margin Optimization.
CoRR
Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng
2014 A* conf
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection.
AAAI
Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang
2014 J jnl
A Convex Formulation for Spectral Shrunk Clustering.
CoRR
Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang, Xiaofang Zhou
2014 J jnl
A Convex Sparse PCA for Feature Analysis.
CoRR
Xiaojun Chang, Feiping Nie, Yi Yang, Heng Huang
2014 J jnl
A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal.
Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen
2014 J jnl
Balanced k-Means and Min-Cut Clustering.
CoRR
Xiaojun Chang, Feiping Nie, Zhigang Ma, Yi Yang
2014 A* conf
Clustering and projected clustering with adaptive neighbors.
KDD
Feiping Nie, Xiaoqian Wang, Heng Huang
2014 J jnl
Compound Rank-k Projections for Bilinear Analysis.
CoRR
Xiaojun Chang, Haoquan Shen, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou
2014 — conf
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.
NIPS
Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding
2014 A* conf
Feature Selection at the Discrete Limit.
AAAI
Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie
2014 — conf
Flexible Shift-Invariant Locality and Globality Preserving Projections.
ECML/PKDD (2)
Feiping Nie, Xiao Cai, Heng Huang
2014 A* conf
Globally and Locally Consistent Unsupervised Projection.
AAAI
Hua Wang, Feiping Nie, Heng Huang
2014 J jnl
Harnessing Lab Knowledge for Real-World Action Recognition.
Int. J. Comput. Vis.
Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe, Shuicheng Yan, Alexander G. Hauptmann
2014 — conf
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.
MICCAI (3)
De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang
2014 J jnl
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection.
IEEE Trans. Cybern.
Chenping Hou, Feiping Nie, Xuelong Li, Dongyun Yi, Yi Wu
2014 A* conf
Large-scale adaptive semi-supervised learning via unified inductive and transductive model.
KDD
De Wang, Feiping Nie, Heng Huang
2014 J jnl
Learning high-dimensional correspondence via manifold learning and local approximation.
Neural Comput. Appl.
Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang
2014 A* conf
Linear Time Solver for Primal SVM.
ICML
Feiping Nie, Yizhen Huang, Heng Huang
2014 A* conf
Low-Rank Tensor Completion with Spatio-Temporal Consistency.
AAAI
Hua Wang, Feiping Nie, Heng Huang
2014 J jnl
Multiple rank multi-linear SVM for matrix data classification.
Pattern Recognit.
Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu
2014 A* conf
Optimal Mean Robust Principal Component Analysis.
ICML
Feiping Nie, Jianjun Yuan, Heng Huang
2014 A* conf
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization.
ICML
Hua Wang, Feiping Nie, Heng Huang
2014 — conf
Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK).
ECML/PKDD (3)
De Wang, Feiping Nie, Heng Huang
2013 — conf
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis.
MICCAI (2)
Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen
2013 A* conf
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.
IJCAI
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013 A* conf
Early Active Learning via Robust Representation and Structured Sparsity.
IJCAI
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2013 J jnl
Efficient Image Classification via Multiple Rank Regression.
IEEE Trans. Image Process.
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
2013 J jnl
Efficient semi-supervised feature selection with noise insensitive trace ratio criterion.
Neurocomputing
Yun Liu, Feiping Nie, Jigang Wu, Lihui Chen
2013 A* conf
Exact Top-k Feature Selection via l2, 0-Norm Constraint.
IJCAI
Xiao Cai, Feiping Nie, Heng Huang
2013 A* conf
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model.
ICCV
Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang
2013 A* conf
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
CVPR
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013 J jnl
Learning a subspace for clustering via pattern shrinking.
Inf. Process. Manag.
Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu
2013 — conf
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
MICCAI (3)
Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen
2013 — conf
Multi-View Clustering and Feature Learning via Structured Sparsity.
ICML (3)
Hua Wang, Feiping Nie, Heng Huang
2013 A* conf
Multi-View K-Means Clustering on Big Data.
IJCAI
Xiao Cai, Feiping Nie, Heng Huang
2013 A* conf
New Graph Structured Sparsity Model for Multi-label Image Annotations.
ICCV
Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang
2013 A* conf
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
KDD
Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang
2013 J jnl
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
J. Comput. Biol.
Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2013 A* conf
Robust Discrete Matrix Completion.
AAAI
Jin Huang, Feiping Nie, Heng Huang
2013 J jnl
Robust Manifold Nonnegative Matrix Factorization.
ACM Trans. Knowl. Discov. Data
Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013 — conf
Robust and Discriminative Self-Taught Learning.
ICML (3)
Hua Wang, Feiping Nie, Heng Huang
2013 A* conf
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization.
ICCV
Hua Wang, Feiping Nie, Weidong Cai, Heng Huang
2013 A* conf
Social Trust Prediction Using Rank-k Matrix Recovery.
IJCAI
Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding
2013 J jnl
Social trust prediction using heterogeneous networks.
ACM Trans. Knowl. Discov. Data
Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu, Yu Lei
2013 A* conf
Spectral Rotation versus K-Means in Spectral Clustering.
AAAI
Jin Huang, Feiping Nie, Heng Huang
2013 — conf
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
IPMI
De Wang, Feiping Nie, Heng Huang, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2013 A* conf
Supervised and Projected Sparse Coding for Image Classification.
AAAI
Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2013 A* conf
Thinking of Images as What They Are: Compound Matrix Regression for Image Classification.
IJCAI
Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe
2012 J jnl
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Yang, Feiping Nie, Dong Xu, Jiebo Luo, Yueting Zhuang, Yunhe Pan
2012 A* conf
An Iterative Locally Linear Embedding Algorithm.
ICML
Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012 J jnl
Discriminating Joint Feature Analysis for Multimedia Data Understanding.
IEEE Trans. Multim.
Zhigang Ma, Feiping Nie, Yi Yang, Jasper R. R. Uijlings, Nicu Sebe, Alexander G. Hauptmann
2012 J jnl
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang
2012 — conf
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
NIPS
Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2012 J jnl
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform.
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 — conf
Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.
MICCAI (2)
Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang
2012 — conf
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
NIPS
Hua Wang, Feiping Nie, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 J jnl
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinform.
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 J jnl
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform.
Hua Wang, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2012 J jnl
Initialization Independent Clustering With Actively Self-Training Method.
IEEE Trans. Syst. Man Cybern. Part B
Feiping Nie, Dong Xu, Xuelong Li
2012 A* conf
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.
AAAI
Feiping Nie, Heng Huang, Chris H. Q. Ding
2012 J jnl
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.
Pattern Recognit. Lett.
Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang
2012 J jnl
Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Yi Huang, Dong Xu, Feiping Nie
2012 B conf
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
RECOMB
Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie
2012 A* conf
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
ICDM
Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding
2012 A* conf
Robust and discriminative distance for Multi-Instance Learning.
CVPR
Hua Wang, Feiping Nie, Heng Huang
2012 J jnl
Semi-Supervised Dimension Reduction Using Trace Ratio Criterion.
IEEE Trans. Neural Networks Learn. Syst.
Yi Huang, Dong Xu, Feiping Nie
2012 A conf
Trust prediction via aggregating heterogeneous social networks.
CIKM
Jin Huang, Feiping Nie, Heng Huang, Yi-Cheng Tu
2012 J jnl
Unsupervised maximum margin feature selection via L 2, 1-norm minimization.
Neural Comput. Appl.
Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu
2012 J jnl
Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection.
IEEE Trans. Multim.
Zhigang Ma, Feiping Nie, Yi Yang, Jasper R. R. Uijlings, Nicu Sebe
2012 J jnl
Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding.
IEEE Trans. Image Process.
Yi Yang, Fei Wu, Feiping Nie, Heng Tao Shen, Yueting Zhuang, Alexander G. Hauptmann
2011 J jnl
3D human pose recovery from image by efficient visual feature selection.
Comput. Vis. Image Underst.
Cheng Chen, Yi Yang, Feiping Nie, Jean-Marc Odobez
2011 A* conf
Cauchy Graph Embedding.
ICML
Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang
2011 A* conf
Consensus spectral clustering in near-linear time.
ICDE
Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie
2011 A* conf
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization.
SIGIR
Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding
2011 A* conf
Dyadic transfer learning for cross-domain image classification.
ICCV
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011 A* conf
Exploiting the entire feature space with sparsity for automatic image annotation.
ACM Multimedia
Zhigang Ma, Yi Yang, Feiping Nie, Jasper R. R. Uijlings, Nicu Sebe
2011 A* conf
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering.
IJCAI
Hua Wang, Feiping Nie, Heng Huang, Fillia Makedon
2011 A* conf
Feature Selection via Joint Embedding Learning and Sparse Regression.
IJCAI
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
2011 A* conf
Heterogeneous image feature integration via multi-modal spectral clustering.
CVPR
Xiao Cai, Feiping Nie, Heng Huang, Farhad Kamangar
2011 — conf
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
MICCAI (3)
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen
2011 J jnl
Interactive Image Segmentation With Multiple Linear Reconstructions in Windows.
IEEE Trans. Multim.
Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang
2011 A* conf
Learning Instance Specific Distance for Multi-Instance Classification.
AAAI
Hua Wang, Feiping Nie, Heng Huang
2011 J jnl
Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor.
IEEE Trans. Vis. Comput. Graph.
Cheng Chen, Yueting Zhuang, Feiping Nie, Yi Yang, Fei Wu, Jun Xiao
2011 A* conf
Learning frame relevance for video classification.
ACM Multimedia
Hua Wang, Feiping Nie, Heng Huang, Yi Yang
2011 — conf
Maximum Margin Multi-Instance Learning.
NIPS
Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding
2011 A* conf
Multi-Class L2, 1-Norm Support Vector Machine.
ICDM
Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011 — conf
Multi-Subspace Representation and Discovery.
ECML/PKDD (2)
Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang
2011 A* conf
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
ICDM
Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding
2011 A* conf
Nonnegative Spectral Clustering with Discriminative Regularization.
AAAI
Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou
2011 J jnl
Regression Reformulations of LLE and LTSA With Locally Linear Transformation.
IEEE Trans. Syst. Man Cybern. Part B
Shiming Xiang, Feiping Nie, Chunhong Pan, Changshui Zhang
2011 A* conf
Robust Principal Component Analysis with Non-Greedy l
IJCAI
Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
2011 B conf
Semi-supervised Dimensionality Reduction via Harmonic Functions.
MDAI
Chenping Hou, Feiping Nie, Yi Wu
2011 J jnl
Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression.
IEEE Trans. Syst. Man Cybern. Part B
Feiping Nie, Dong Xu, Xuelong Li, Shiming Xiang
2011 J jnl
Semisupervised Learning Using Negative Labels.
IEEE Trans. Neural Networks
Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu
2011 A* conf
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
ICCV
Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen
2011 J jnl
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.
IEEE Trans. Neural Networks
Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang
2011 A* conf
Tag localization with spatial correlations and joint group sparsity.
CVPR
Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feiping Nie
2011 A* conf
Unsupervised and semi-supervised learning via ℓ1-norm graph.
ICCV
Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding
2010 J jnl
A general graph-based semi-supervised learning with novel class discovery.
Neural Comput. Appl.
Feiping Nie, Shiming Xiang, Yun Liu, Changshui Zhang
2010 J jnl
A general kernelization framework for learning algorithms based on kernel PCA.
Neurocomputing
Changshui Zhang, Feiping Nie, Shiming Xiang
2010 J jnl
Classification by semi-supervised discriminative regularization.
Neurocomputing
Fei Wu, Wenhua Wang, Yi Yang, Yueting Zhuang, Feiping Nie
2010 — conf
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization.
NIPS
Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding
2010 J jnl
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction.
IEEE Trans. Image Process.
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changshui Zhang
2010 J jnl
Image Clustering Using Local Discriminant Models and Global Integration.
IEEE Trans. Image Process.
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yueting Zhuang
2010 — conf
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
ECML/PKDD (2)
Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang
2010 A* conf
Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation.
AAAI
Yi Yang, Feiping Nie, Shiming Xiang, Yueting Zhuang, Wenhua Wang
2010 J jnl
Multiple view semi-supervised dimensionality reduction.
Pattern Recognit.
Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie
2010 J jnl
On the eigenvectors of
Mach. Learn.
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie
2010 B conf
Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition.
ICIP
Yi Huang, Dong Xu, Feiping Nie
2010 J jnl
Semi-Supervised Classification via Local Spline Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Shiming Xiang, Feiping Nie, Changshui Zhang
2010 J jnl
TurboPixel Segmentation Using Eigen-Images.
IEEE Trans. Image Process.
Shiming Xiang, Chunhong Pan, Feiping Nie, Changshui Zhang
2009 A conf
Efficient multi-class unlabeled constrained semi-supervised SVM.
CIKM
Mingjie Qian, Feiping Nie, Changshui Zhang
2009 J jnl
Embedding new data points for manifold learning via coordinate propagation.
Knowl. Inf. Syst.
Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang
2009 J jnl
Extracting the optimal dimensionality for local tensor discriminant analysis.
Pattern Recognit.
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang
2009 J jnl
Interactive Natural Image Segmentation via Spline Regression.
IEEE Trans. Image Process.
Shiming Xiang, Feiping Nie, Chunxia Zhang, Changshui Zhang
2009 J jnl
Learning an Orthogonal and Smooth Subspace for Image Classification.
IEEE Signal Process. Lett.
Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu
2009 J jnl
Nonlinear Dimensionality Reduction with Local Spline Embedding.
IEEE Trans. Knowl. Data Eng.
Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang
2009 J jnl
Nonlinear dimensionality reduction with relative distance comparison.
Neurocomputing
Chunxia Zhang, Shiming Xiang, Feiping Nie, Yangqiu Song
2009 — conf
Probabilistic Labeled Semi-supervised SVM.
ICDM Workshops
Mingjie Qian, Feiping Nie, Changshui Zhang
2009 A* conf
Ranking with local regression and global alignment for cross media retrieval.
ACM Multimedia
Yi Yang, Dong Xu, Feiping Nie, Jiebo Luo, Yueting Zhuang
2009 J jnl
Semi-supervised orthogonal discriminant analysis via label propagation.
Pattern Recognit.
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang
2009 J jnl
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations.
Neural Process. Lett.
Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou
2009 A* conf
Spectral Embedded Clustering.
IJCAI
Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang
2009 J jnl
Trace Ratio Problem Revisited.
IEEE Trans. Neural Networks
Yangqing Jia, Feiping Nie, Changshui Zhang
2008 J jnl
A unified framework for semi-supervised dimensionality reduction.
Pattern Recognit.
Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang
2008 J jnl
Contour graph based human tracking and action sequence recognition.
Pattern Recognit.
Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang
2008 J jnl
Learning a Mahalanobis distance metric for data clustering and classification.
Pattern Recognit.
Shiming Xiang, Feiping Nie, Changshui Zhang
2008 J jnl
Semi-supervised sub-manifold discriminant analysis.
Pattern Recognit. Lett.
Yangqiu Song, Feiping Nie, Changshui Zhang
2008 A* conf
Trace Ratio Criterion for Feature Selection.
AAAI
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan
2007 B conf
Embedding New Data Points for Manifold Learning Via Coordinate Propagation.
PAKDD
Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, Chunxia Zhang
2007 — conf
Extracting the Optimal Dimensionality for Discriminant Analysis.
ICASSP (2)
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang
2007 — conf
Interactive Visual Object Extraction Based on Belief Propagation.
MMM (1)
Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang
2007 A* conf
Neighborhood MinMax Projections.
IJCAI
Feiping Nie, Shiming Xiang, Changshui Zhang
2007 A* conf
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition.
CVPR
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang
2006 — conf
Contour Matching Based on Belief Propagation.
ACCV (2)
Shiming Xiang, Feiping Nie, Changshui Zhang
2006 — conf
Exemplar-Based Human Contour Tracking.
ACCV (1)
Shiming Xiang, Feiping Nie, Changshui Zhang
2006 — conf
Spline Embedding for Nonlinear Dimensionality Reduction.
ECML
Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang
2006 — conf
Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning.
ACCV (1)
Shiming Xiang, Feiping Nie, Changshui Zhang