Feiping Nie

Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding AAAI 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026 Language Pre-training Guided Masking Representation Learning for Time Series Classification AAAI 2025 Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering IJCAI 2025 Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection IJCAI 2024 Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024 Multi-Class Support Vector Machine with Maximizing Minimum Margin AAAI 2024 Efficient Top-K Feature Selection Using Coordinate Descent Method AAAI 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NIPS 2023 EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion IJCAI 2022 Fast Multi-view Discrete Clustering with Anchor Graphs AAAI 2021 Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations AAAI 2021 GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data IJCAI 2021 Discrete Multiple Kernel k-means IJCAI 2021 Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut NIPS 2020 Learning Feature Sparse Principal Subspace NIPS 2020 Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers CVPR 2020 Semi-supervised Clustering via Pairwise Constrained Optimal Graph IJCAI 2020 Discriminative Feature Selection via A Structured Sparse Subspace Learning Module IJCAI 2020 Semi-Supervised Feature Selection with Adaptive Discriminant Analysis AAAI 2019 Listen to the Image CVPR 2019 Deep Multimodal Clustering for Unsupervised Audiovisual Learning CVPR 2019 Worst-Case Discriminative Feature Selection IJCAI 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019 Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method IJCAI 2019 Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances IJCAI 2019 A Unified Weight Learning Paradigm for Multi-view Learning AISTATS 2019 Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances CVPR 2018 Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017 Learning A Structured Optimal Bipartite Graph for Co-Clustering NIPS 2017 A Self-Balanced Min-Cut Algorithm for Image Clustering ICCV 2017 Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017 Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering IJCAI 2017 Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning IJCAI 2017 Locality Adaptive Discriminant Analysis IJCAI 2017 Semi-supervised Orthogonal Graph Embedding with Recursive Projections IJCAI 2017 Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression IJCAI 2017 Joint Capped Norms Minimization for Robust Matrix Recovery IJCAI 2017 Self-weighted Multiview Clustering with Multiple Graphs IJCAI 2017 Flexible Orthogonal Neighborhood Preserving Embedding IJCAI 2017 Two dimensional Large Margin Nearest Neighbor for Matrix Classification IJCAI 2017 Convolutional 2D LDA for Nonlinear Dimensionality Reduction IJCAI 2017 Angle Principal Component Analysis IJCAI 2017 Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Multi-view Feature Learning with Discriminative Regularization IJCAI 2017 Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines IJCAI 2017 Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering IJCAI 2016 Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification IJCAI 2016 Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint IJCAI 2016 Discriminatively Embedded K-Means for Multi-View Clustering CVPR 2016 Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking CVPR 2016 Robust and Sparse Fuzzy K-Means Clustering IJCAI 2016 Multi-View Subspace Clustering ICCV 2015 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Discriminative Unsupervised Dimensionality Reduction IJCAI 2015 Robust Dictionary Learning with Capped l1-Norm IJCAI 2015 A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering IJCAI 2015 Linear Time Solver for Primal SVM ICML 2014 Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm NIPS 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014 Robust and Discriminative Self-Taught Learning ICML 2013 Multi-View Clustering and Feature Learning via Structured Sparsity ICML 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013 Exact Top-k Feature Selection via l2,0-Norm Constraint IJCAI 2013 Thinking of Images as What They Are: Compound Matrix Regression for Image Classification IJCAI 2013 Adaptive Loss Minimization for Semi-Supervised Elastic Embedding IJCAI 2013 Early Active Learning via Robust Representation and Structured Sparsity IJCAI 2013 Multi-View K-Means Clustering on Big Data IJCAI 2013 Social Trust Prediction Using Rank-k Matrix Recovery IJCAI 2013 Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model ICCV 2013 Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013 New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NIPS 2012 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012 Maximum Margin Multi-Instance Learning NIPS 2011 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NIPS 2010