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2020 – today
- 2021
[j149]Zhao Kang
, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110: 107627 (2021)- [j148]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Trans. Knowl. Data Eng. 33(1): 259-270 (2021) - 2020
- [j147]Qiang Wang, Xinwang Liu, Jiaqing Xu:
ℓq-Norm Sample-Adaptive Multiple Kernel Learning. IEEE Access 8: 39428-39438 (2020) - [j146]Tong Wu, Xinwang Liu:
A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce. Appl. Soft Comput. 94: 106366 (2020) - [j145]Yong Fu, Yong Qin, Weizhong Wang, Xinwang Liu, Limin Jia:
An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization. Entropy 22(12): 1418 (2020) - [j144]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j143]Tong Wu, Xinwang Liu, Zaiwu Gong, Huanhuan Zhang, Francisco Herrera:
The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision-making. Int. J. Intell. Syst. 35(3): 470-493 (2020) - [j142]Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, Jianping Yin:
Subspace segmentation-based robust multiple kernel clustering. Inf. Fusion 53: 145-154 (2020) - [j141]Junfeng Chu, Yingming Wang, Xinwang Liu, Yicong Liu:
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations. Inf. Fusion 60: 98-120 (2020) - [j140]Mingxing Tang, Linbo Qiao, Zhen Huang, Xinwang Liu, Yuxing Peng, Xueliang Liu:
Accelerating SGD using flexible variance reduction on large-scale datasets. Neural Comput. Appl. 32(12): 8089-8100 (2020) - [j139]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao:
Multiple Kernel $k$k-Means with Incomplete Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1191-1204 (2020) - [j138]Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin:
Absent Multiple Kernel Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1303-1316 (2020) - [j137]Xiaoqing Chen, Xinwang Liu, Weizhong Wang, Zaiwu Gong:
Behavioral DEA model and its application to the efficiency evaluation of manufacturing transformation and upgrading in the Yangtze River Delta. Soft Comput. 24(14): 10721-10738 (2020) - [j136]Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. ACM Trans. Intell. Syst. Technol. 11(3): 28:1-28:21 (2020) - [j135]Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin:
Adaptive Self-Paced Deep Clustering with Data Augmentation. IEEE Trans. Knowl. Data Eng. 32(9): 1680-1693 (2020) - [j134]Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang:
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Trans. Knowl. Data Eng. 32(9): 1747-1760 (2020) - [j133]Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020) - [c80]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. AAAI 2020: 3503-3512 - [c79]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao:
CGD: Multi-View Clustering via Cross-View Graph Diffusion. AAAI 2020: 5924-5931 - [c78]Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han:
Deep Embedded Complementary and Interactive Information for Multi-View Classification. AAAI 2020: 6494-6501 - [c77]Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin, Wen Gao:
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. AAAI 2020: 6965-6972 - [c76]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI 2020: 12063-12070 - [c75]Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han:
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. IJCAI 2020: 3202-3208 - [i19]Li Cheng, Yijie Wang, Xinwang Liu, Bin Li:
Outlier Detection Ensemble with Embedded Feature Selection. CoRR abs/2001.05492 (2020) - [i18]Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang:
Differentially Private ERM Based on Data Perturbation. CoRR abs/2002.08578 (2020) - [i17]Yong Liu, Lizhong Ding, Hua Zhang, Wenqi Ren, Xiao Zhang, Shali Jiang, Xinwang Liu, Weiping Wang:
Nearly Optimal Risk Bounds for Kernel K-Means. CoRR abs/2003.03888 (2020) - [i16]Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. CoRR abs/2005.04975 (2020) - [i15]Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han:
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. CoRR abs/2007.06143 (2020) - [i14]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i13]Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. CoRR abs/2008.13539 (2020) - [i12]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu:
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. CoRR abs/2009.03671 (2020) - [i11]Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR abs/2009.04899 (2020) - [i10]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. CoRR abs/2012.09600 (2020)
2010 – 2019
- 2019
- [j132]Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu:
Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019) - [j131]Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin:
K-Means Clustering With Incomplete Data. IEEE Access 7: 69162-69171 (2019) - [j130]Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai:
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. IEEE Access 7: 136322-136331 (2019) - [j129]Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang:
Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access 7: 177965-177973 (2019) - [j128]Hongzhan Ma, Xuening Chu, Weizhong Wang, Xinwang Liu, Deyi Xue:
A directed failure causality network (DFCN) based method for function components risk prioritization under interval type-2 fuzzy environment. Adv. Eng. Informatics 41 (2019) - [j127]Weizhong Wang, Xinwang Liu, Xiaoqing Chen, Yong Qin:
Risk assessment based on hybrid FMEA framework by considering decision maker's psychological behavior character. Comput. Ind. Eng. 136: 516-527 (2019) - [j126]Tong Wu, Xinwang Liu, Jindong Qin:
An interval type-2 fuzzy trust evaluation model in social commerce. Comput. Intell. 35(4): 1113-1131 (2019) - [j125]Yuewei Ming, En Zhu, Mao Wang, Qiang Liu, Xinwang Liu, Jianping Yin:
Scalable k-means for large-scale clustering. Intell. Data Anal. 23(4): 825-838 (2019) - [j124]Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen:
Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing 331: 77-96 (2019) - [j123]Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu:
Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing 370: 128-139 (2019) - [j122]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making. Inf. Fusion 52: 375-388 (2019) - [j121]Weizhong Wang, Xinwang Liu, Jindong Qin:
Risk priorization for failure modes with extended MULTIMOORA method under interval type-2 fuzzy environment. J. Intell. Fuzzy Syst. 36(2): 1417-1429 (2019) - [j120]Xiaoqing Chen, Xinwang Liu, Yong Qin:
An extended HFACS based risk analysis approach for human error accident with interval type-2 fuzzy sets and prospect theory. J. Intell. Fuzzy Syst. 37(6): 8381-8395 (2019) - [j119]Qiqi Meng, Xinwang Liu, Yu Song, Weizhong Wang:
An extended generalized TODIM method for risk assessment of supply chain in social commerce under interval type-2 fuzzy environment. J. Intell. Fuzzy Syst. 37(6): 8551-8565 (2019) - [j118]Tong Wu, Kun Zhang, Xinwang Liu, Changyan Cao:
A two-stage social trust network partition model for large-scale group decision-making problems. Knowl. Based Syst. 163: 632-643 (2019) - [j117]Xiaoqing Chen, Xinwang Liu, Zaiwu Gong:
Extended DEA model under type-2 fuzzy environment. Kybernetes 48(5): 1095-1133 (2019) - [j116]Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin:
Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) - [j115]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao:
Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2410-2423 (2019) - [j114]Jingtao Hu, En Zhu, Siqi Wang, Xinwang Liu, Xifeng Guo, Jianping Yin:
An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos. Sensors 19(19): 4145 (2019) - [j113]Tong Wu, Xinwang Liu, Fang Liu:
The solution for fuzzy large-scale group decision making problems combining internal preference information and external social network structures. Soft Comput. 23(18): 9025-9043 (2019) - [j112]Fang Liu, Witold Pedrycz, Xinwang Liu:
Flexibility Degree of Fuzzy Numbers and its Implication to a Group-Decision-Making Model. IEEE Trans. Cybern. 49(12): 4054-4065 (2019) - [j111]Yawei Zhao, Kai Xu, En Zhu, Xinwang Liu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Trans. Knowl. Data Eng. 31(8): 1610-1623 (2019) - [j110]Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang:
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21(7): 1724-1736 (2019) - [j109]Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang:
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c74]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. AAAI 2019: 4392-4399 - [c73]Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang:
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. AAAI 2019: 5101-5108 - [c72]Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang:
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI 2019: 5313-5320 - [c71]Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. CVPR 2019: 2700-2709 - [c70]Chang Tang, Xinzhong Zhu, Xinwang Liu, Pichao Wang:
Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features. ICME 2019: 1546-1551 - [c69]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. IJCAI 2019: 2413-2419 - [c68]Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin:
Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019: 3778-3784 - [c67]Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi:
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI 2019: 4482-4488 - [c66]Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin:
Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression. IJCNN 2019: 1-8 - [c65]Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft:
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS 2019: 5960-5973 - [i9]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. CoRR abs/1908.01384 (2019) - [i8]Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. CoRR abs/1911.12595 (2019) - 2018
- [j108]Chuanli Wang, En Zhu, Xinwang Liu, Long Gao, Jianping Yin, Ning Hu:
Multiple Kernel Clustering With Global and Local Structure Alignment. IEEE Access 6: 77911-77920 (2018) - [j107]Tong Wu, Xinwang Liu, Jindong Qin:
A linguistic solution for double large-scale group decision-making in E-commerce. Comput. Ind. Eng. 116: 97-112 (2018) - [j106]Weizhong Wang, Xinwang Liu, Yong Qin:
A fuzzy Fine-Kinney-based risk evaluation approach with extended MULTIMOORA method based on Choquet integral. Comput. Ind. Eng. 125: 111-123 (2018) - [j105]Yongkai Ye, Xinwang Liu, Qiang Liu, Xifeng Guo, Jianping Yin:
Incomplete Multiview Clustering via Late Fusion. Comput. Intell. Neurosci. 2018: 6148456:1-6148456:11 (2018) - [j104]Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian:
Robust graph regularized unsupervised feature selection. Expert Syst. Appl. 96: 64-76 (2018) - [j103]Junfeng Chu, Xinwang Liu, Liang Wang, Yingming Wang:
A Group Decision Making Approach Based on Newly Defined Additively Consistent Interval-Valued Intuitionistic Preference Relations. Int. J. Fuzzy Syst. 20(3): 1027-1046 (2018) - [j102]Qiang Wang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, Ke Yang:
Local kernel alignment based multi-view clustering using extreme learning machine. Neurocomputing 275: 1099-1111 (2018) - [j101]Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin:
Financial time series prediction using ℓ2, 1RF-ELM. Neurocomputing 277: 176-186 (2018) - [j100]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin:
Large-scale k-means clustering via variance reduction. Neurocomputing 307: 184-194 (2018) - [j99]Yuewei Ming, En Zhu, Mao Wang, Yongkai Ye, Xinwang Liu, Jianping Yin:
DMP-ELMs: Data and model parallel extreme learning machines for large-scale learning tasks. Neurocomputing 320: 85-97 (2018) - [j98]Tong Wu, Xinwang Liu, Fang Liu:
An interval type-2 fuzzy TOPSIS model for large scale group decision making problems with social network information. Inf. Sci. 432: 392-410 (2018) - [j97]Wentao Zhao, Pan Li, Qiang Liu, Dan Liu, Xinwang Liu:
Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning. KSII Trans. Internet Inf. Syst. 12(12): 5765-5781 (2018) - [j96]Guang Yang, Xinwang Liu:
Goal-based portfolio choice model with discounted preference. J. Comput. Appl. Math. 328: 365-380 (2018) - [j95]Shuli Liu, Xinwang Liu, Jindong Qin:
Three-way group decisions based on prospect theory. J. Oper. Res. Soc. 69(1): 25-35 (2018) - [j94]Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li:
Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. 145: 109-120 (2018) - [j93]Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu:
Consensus learning guided multi-view unsupervised feature selection. Knowl. Based Syst. 160: 49-60 (2018) - [j92]Guang Yang, Xinwang Liu:
A commuter departure-time model based on cumulative prospect theory. Math. Methods Oper. Res. 87(2): 285-307 (2018) - [j91]Guang Yang, Xinwang Liu, Jindong Qin, Ahmed Khan:
An analytical approach for behavioral portfolio model with time discounting preference. RAIRO Oper. Res. 52(3): 691-712 (2018) - [j90]Jingming Xue, Qiang Liu, Miaomiao Li, Xinwang Liu, Yongkai Ye, Siqi Wang, Jianping Yin:
Incremental multiple kernel extreme learning machine and its application in Robo-advisors. Soft Comput. 22(11): 3507-3517 (2018) - [j89]Wentao Zhao, Qian Li, Chengzhang Zhu, Jianglong Song, Xinwang Liu, Jianping Yin:
Model-aware categorical data embedding: a data-driven approach. Soft Comput. 22(11): 3603-3619 (2018) - [j88]Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li:
Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. IEEE Trans. Inf. Forensics Secur. 13(11): 2801-2815 (2018) - [c64]Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu:
Reliable Multi-View Clustering. AAAI 2018: 4123-4130 - [c63]Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421 - [c62]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018: 7404-7411 - [c61]Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Embedding for Determining the Number of Clusters. AAAI 2018: 8173-8174 - [c60]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin:
Variance Reduced K-Means Clustering. AAAI 2018: 8187-8188 - [c59]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. ACML 2018: 550-565 - [c58]Yongkai Ye, Xinwang Liu, Jianping Yin:
Multi-view Clustering with Noisy Views. CSAI/ICIMT 2018: 339-344 - [c57]Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. ECCV (2) 2018: 629-645 - [c56]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c55]Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao:
Localized Incomplete Multiple Kernel k-means. IJCAI 2018: 3271-3277 - [i7]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. CoRR abs/1801.01080 (2018) - [i6]Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. CoRR abs/1808.06556 (2018) - [i5]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - [i4]Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin:
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit. CoRR abs/1812.10186 (2018) - 2017
- [j87]Yongkai Ye, Xinwang Liu, Qiang Liu, Jianping Yin:
Consensus Kernel K-Means Clustering for Incomplete Multiview Data. Comput. Intell. Neurosci. 2017: 3961718:1-3961718:11 (2017) - [j86]Jindong Qin, Xinwang Liu, Witold Pedrycz:
An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258(2): 626-638 (2017) - [j85]Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv:
Multiple kernel clustering with corrupted kernels. Neurocomputing 267: 447-454 (2017) - [j84]Shuli Liu, Xinwang Liu, Dongwei Liu:
A prospect theory based MADM method for solar water heater selection problems. J. Intell. Fuzzy Syst. 32(3): 1855-1865 (2017) - [j83]Junfeng Chu, Kwai-Sang Chin, Xinwang Liu, Yingming Wang:
A prospect theory based approach to multiple attribute decision making considering the decision maker's attitudinal character. J. Intell. Fuzzy Syst. 32(3): 2563-2578 (2017) - [j82]Hang Gao, Songlei Jian, Yuxing Peng, Xinwang Liu:
A subspace ensemble framework for classification with high dimensional missing data. Multidimens. Syst. Signal Process. 28(4): 1309-1324 (2017) - [j81]Yueqing Wang, Xinwang Liu, Yong Dou, Qi Lv, Yao Lu:
Multiple kernel learning with hybrid kernel alignment maximization. Pattern Recognit. 70: 104-111 (2017) - [j80]Jindong Qin, Xinwang Liu, Witold Pedrycz:
A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method. Soft Comput. 21(12): 3207-3226 (2017) - [c54]Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. AAAI 2017: 2259-2265 - [c53]Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin:
Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017: 2266-2272 - [c52]Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng:
Fast Compressive Spectral Clustering. ICDM 2017: 949-954 - [c51]Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Clustering with Convolutional Autoencoders. ICONIP (2) 2017: 373-382 - [c50]Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin:
Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017: 1753-1759 - [c49]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Multiple Kernel Clustering Framework with Improved Kernels. IJCAI 2017: 2999-3005 - [c48]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. IJCAI 2017: 3006-3012 - [i3]Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition. CoRR abs/1711.04047 (2017) - [i2]Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li:
Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. CoRR abs/1712.09848 (2017) - 2016
- [j79]Jindong Qin, Xinwang Liu, Witold Pedrycz:
Frank aggregation operators and their application to hesitant fuzzy multiple attribute decision making. Appl. Soft Comput. 41: 428-452 (2016) - [j78]