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Multi-view Clustering via Deep Matrix Factorization and Partition Alignment


May 01, 2021
Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang


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Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement


May 01, 2021
Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan


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Multi-view Deep One-class Classification: A Systematic Exploration


Apr 27, 2021
Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin


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Deep Distribution-preserving Incomplete Clustering with Optimal Transport


Mar 21, 2021
Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

* Data are provided at https://github.com/wangsiwei2010/Single-view-incomplete-datasets-for-deep-clustering 

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A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks


Mar 10, 2021
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu

* Vec2vec, Dasfaa 2021, 16 pages 

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Deep Fusion Clustering Network


Dec 15, 2020
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En zhu, Jieren Cheng


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Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible


Sep 09, 2020
Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad Jaimoukha, Xinwang Liu

* 15 pages, 8 figures 

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A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification


Sep 05, 2020
Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu

* Codes are available at https://github.com/Kali-Hac/Locality-Awareness-SGE. This article is an extended version of our conference (IJCAI-2020) paper at https://www.ijcai.org/proceedings/2020/0125. arXiv admin note: substantial text overlap with arXiv:2008.09435 

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Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix


Aug 31, 2020
Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu


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Structured Graph Learning for Clustering and Semi-supervised Classification


Aug 31, 2020
Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

* Appear in Pattern Recognition 

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Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning


Jul 13, 2020
Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han


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SimpleMKKM: Simple Multiple Kernel K-means


May 12, 2020
Xinwang Liu, En Zhu, Jiyuan Liu, Timothy Hospedales, Yang Wang, Meng Wang


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Nearly Optimal Risk Bounds for Kernel K-Means


Mar 09, 2020
Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang


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Differentially Private ERM Based on Data Perturbation


Feb 20, 2020
Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang


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Outlier Detection Ensemble with Embedded Feature Selection


Jan 15, 2020
Li Cheng, Yijie Wang, Xinwang Liu, Bin Li

* 10pages, AAAI2020 

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Understand Dynamic Regret with Switching Cost for Online Decision Making


Nov 28, 2019
Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin

* Accepted by ACM Transactions on Intelligent Systems and Technology (TIST) 

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Simultaneous Clustering and Optimization for Evolving Datasets


Aug 04, 2019
Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin

* Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) 

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Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit


Jan 08, 2019
Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin


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Deep Learning for Generic Object Detection: A Survey


Sep 06, 2018
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

* Submitted to IJCV, 30pages 

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Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets


Aug 20, 2018
Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin

* Accepted by IEEE Transactions on Knowledge and Data Engineering, 2018 

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Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition


Dec 05, 2017
Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu


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DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition


Nov 11, 2017
Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu


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A Computational Model of the Short-Cut Rule for 2D Shape Decomposition


Sep 07, 2014
Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang

* 11 pages 

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