Proceedings

Feiping Nie

School of Computer Science , School of Artificial Intelligence, OPtics and ElectroNics (iOPEN) , Northwestern Polytechnical University , Xi'an 710072 , China.

46 papers in the IJCAI proceedings

IJCAI 2025

Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
with Zhoumin Lu, Yongbo Yu, Linru Ma, Rong Wang
doi:10.24963/ijcai.2025/652
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IJCAI 2024

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection
with Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang
doi:10.24963/ijcai.2024/548
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IJCAI 2022

EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion
with Danyang Wu, Jitao Lu, Rong Wang, Yuan Yuan
doi:10.24963/ijcai.2022/495
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IJCAI 2021

Discrete Multiple Kernel k-means
with Rong Wang, Jitao Lu, Yihang Lu, Xuelong Li
doi:10.24963/ijcai.2021/428
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GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data
with Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Xuelong Li
doi:10.24963/ijcai.2021/438
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IJCAI 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
with Zheng Wang, Lai Tian, Rong Wang, Xuelong Li
doi:10.24963/ijcai.2020/416
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Semi-supervised Clustering via Pairwise Constrained Optimal Graph
with Han Zhang, Rong Wang, Xuelong Li
doi:10.24963/ijcai.2020/437
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IJCAI 2019

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances
with Kai Liu, Lodewijk Brand, Hua Wang
doi:10.24963/ijcai.2019/417
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Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method
with Haoxuan Yang, Kai Liu, Hua Wang
doi:10.24963/ijcai.2019/561
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Worst-Case Discriminative Feature Selection
with Shuangli Liao, Quanxue Gao, Yang Liu, Xiangdong Zhang
doi:10.24963/ijcai.2019/412
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IJCAI 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
with Minnan Luo, Lingling Zhang, Xiaojun Chang, Buyue Qian, Qinghua Zheng
doi:10.24963/ijcai.2017/337
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Angle Principal Component Analysis
with Qianqian Wang, Quanxue Gao, Xinbo Gao
doi:10.24963/ijcai.2017/409
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Convolutional 2D LDA for Nonlinear Dimensionality Reduction
with Qi Wang, Zequn Qin, Yuan Yuan
doi:10.24963/ijcai.2017/408
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Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines
with Jinglin Xu, Junwei Han
doi:10.24963/ijcai.2017/442
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Flexible Orthogonal Neighborhood Preserving Embedding
with Tianji Pang, Junwei Han
doi:10.24963/ijcai.2017/361
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Joint Capped Norms Minimization for Robust Matrix Recovery
with Zhouyuan Huo, Heng Huang
doi:10.24963/ijcai.2017/356
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Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
with Kai Xiong, Junwei Han
doi:10.24963/ijcai.2017/439
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Locality Adaptive Discriminant Analysis
with Xuelong Li, Mulin Chen, Qi Wang
doi:10.24963/ijcai.2017/306
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Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
with Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Heng Huang
doi:10.24963/ijcai.2017/440
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Multi-view Feature Learning with Discriminative Regularization
with Jinglin Xu, Junwei Han
doi:10.24963/ijcai.2017/441
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Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
with Junwei Han, Kai Xiong
doi:10.24963/ijcai.2017/251
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Scalable Normalized Cut with Improved Spectral Rotation
with Xiaojun Chen, Joshua Zhexue Huang, Min Yang
doi:10.24963/ijcai.2017/210
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Self-weighted Multiview Clustering with Multiple Graphs
with Jing Li, Xuelong Li
doi:10.24963/ijcai.2017/357
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Semi-supervised Feature Selection via Rescaled Linear Regression
with Xiaojun Chen, Guowen Yuan, Joshua Zhexue Huang
doi:10.24963/ijcai.2017/211
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Semi-supervised Orthogonal Graph Embedding with Recursive Projections
with Hanyang Liu, Junwei Han
doi:10.24963/ijcai.2017/321
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Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
with Wenhao Jiang, Cheng Deng, Wei Liu, Fu-lai Chung, Heng Huang
doi:10.24963/ijcai.2017/272
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Two dimensional Large Margin Nearest Neighbor for Matrix Classification
with Kun Song, Junwei Han
doi:10.24963/ijcai.2017/383
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IJCAI 2016

Avoiding Optimal Mean Robust PCA/2DPCA with Non-Greedy l1-Norm Maximization
with Minnan Luo, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng
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Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering
with De Wang, Heng Huang
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Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification
with Jing Li, Xuelong Li
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Robust and Sparse Fuzzy K-Means Clustering
with Jinglin Xu, Junwei Han, Kai Xiong
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Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint
with Heng Huang
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IJCAI 2015

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering
with Jin Huang, Heng Huang
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Discriminative Unsupervised Dimensionality Reduction
with Xiaoqian Wang, Yun Liu, Heng Huang
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Robust Dictionary Learning with Capped l1-Norm
with Wenhao Jiang, Heng Huang
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IJCAI 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
with Hua Wang, Heng Huang, Chris H. Q. Ding
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Early Active Learning via Robust Representation and Structured Sparsity
with Hua Wang, Heng Huang, Chris H. Q. Ding
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Exact Top-k Feature Selection via l2, 0-Norm Constraint
with Xiao Cai, Heng Huang
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Multi-View K-Means Clustering on Big Data
with Xiao Cai, Heng Huang
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Social Trust Prediction Using Rank-k Matrix Recovery
with Jin Huang, Heng Huang, Yu Lei, Chris H. Q. Ding
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Thinking of Images as What They Are: Compound Matrix Regression for Image Classification
with Zhigang Ma, Yi Yang, Nicu Sebe
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IJCAI 2011

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering
with Hua Wang, Heng Huang, Fillia Makedon
doi:10.5591/978-1-57735-516-8/IJCAI11-261
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Feature Selection via Joint Embedding Learning and Sparse Regression
with Chenping Hou, Dongyun Yi, Yi Wu
doi:10.5591/978-1-57735-516-8/IJCAI11-224
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Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization
with Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang
doi:10.5591/978-1-57735-516-8/IJCAI11-242
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IJCAI 2009

Spectral Embedded Clustering
with Dong Xu, Ivor W. Tsang, Changshui Zhang
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IJCAI 2007

Neighborhood MinMax Projections
with Shiming Xiang, Changshui Zhang
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