← Authors

Feiping Nie

80 papers · 2010–2026 · 8 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (22) 🏠 Conference Loyalist (40) πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (5) πŸ† Grand Slam 🌱 Topic Pioneer 🀝 Dynamic Duo (28) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (16) πŸ’Ž Century Club (76) πŸ—ƒοΈ Keyword Collector (101) ⚑ Prolific Year (8)

Conferences

IJCAI (40) AAAI (11) NIPS (9) CVPR (8) ICCV (5) ICML (5) AISTATS (1) ICLR (1)

Top co-authors

Heng Huang (28) Rong Wang (16) Xuelong Li (15) Hua Wang (14) Junwei Han (10) Chris Ding (6) Zheng Wang (6) Xiao Cai (5) Guanxiong He (4) Liaoyuan Tang (4)

Research topics

Processing (1)

Keywords

dimensionality reduction (12) feature selection (11) semi-supervised learning (10) structured sparsity (5) spectral clustering (5) multi-view clustering (5) sparse optimization (5) multi-view learning (5) multi-class classification (4) graph learning (4) sparse coding (4) graph clustering (4) subspace learning (4) support vector machine (4) feature learning (3) linear discriminant analysis (3) distance metric learning (3) sparse representation (3) sparse learning (3) convex optimization (3)

Papers

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
EMGCΒ²F: 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 β„“2,1-Norms Minimization NIPS 2010