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Xin-Wang Liu
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2020 – today
- 2023
[j225]Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu:
Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. 66(5) (2023)- [j224]Jing Tang, Xinwang Liu, Weizhong Wang:
COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network. Expert Syst. Appl. 213(Part): 118885 (2023) - [j223]Xinwang Liu, Xiaoqing Chen
, Qun Wu, Muhammet Deveci, Dursun Delen:
Measuring efficiency of the high-tech industry using uncertain multi-stage nonparametric technologies. Expert Syst. Appl. 216: 119490 (2023) - [j222]Qiaohong Zheng, Xinwang Liu, Weizhong Wang, Qun Wu, Muhammet Deveci, Dragan Pamucar:
The integrated prospect theory with consensus model for risk analysis of human error factors in the clinical use of medical devices. Expert Syst. Appl. 217: 119507 (2023) - [j221]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j220]Shilian Han, Xinwang Liu:
An extension of multi-attribute group decision making method based on quantum-like Bayesian network considering the interference of beliefs. Inf. Fusion 95: 143-162 (2023) - [j219]Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023) - [j218]Xinwang Liu:
SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5174-5186 (2023) - [j217]Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu:
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. 53(6): 3479-3492 (2023) - [j216]Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya:
Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j215]Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li:
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. ACM Trans. Knowl. Discov. Data 17(5): 62:1-62:35 (2023) - [j214]Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao:
Platform-Oriented Event Time Allocation. IEEE Trans. Knowl. Data Eng. 35(3): 2930-2942 (2023) - [j213]Tuanfei Zhu, Xinwang Liu, En Zhu:
Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. IEEE Trans. Knowl. Data Eng. 35(6): 6167-6181 (2023) - [j212]Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu:
Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 35(6): 6449-6460 (2023) - [j211]Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen:
Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization. IEEE Trans. Multim. 25: 993-1007 (2023) - [j210]Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu:
Multiple Kernel Clustering With Compressed Subspace Alignment. IEEE Trans. Neural Networks Learn. Syst. 34(1): 252-263 (2023) - [i51]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu:
Cluster-guided Contrastive Graph Clustering Network. CoRR abs/2301.01098 (2023) - [i50]Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu:
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR abs/2302.07491 (2023) - [i49]Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng:
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. CoRR abs/2302.07524 (2023) - [i48]Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou:
Auto-weighted Multi-view Clustering for Large-scale Data. CoRR abs/2303.01983 (2023) - [i47]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i46]Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu:
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment. CoRR abs/2303.15689 (2023) - [i45]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai:
RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023) - [i44]Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu:
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR abs/2304.10297 (2023) - [i43]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - 2022
- [j209]Qun Wu, Xinwang Liu, Jindong Qin, Ligang Zhou, Hari Krishna Garg, Abbas Mardani:
Consensus reaching for prospect cross-efficiency in data envelopment analysis with minimum adjustments. Comput. Ind. Eng. 168: 108087 (2022) - [j208]Xiuzhi Sang, Xianyu Yu, Ching-Ter Chang, Xinwang Liu:
Electric bus charging station site selection based on the combined DEMATEL and PROMETHEE-PT framework. Comput. Ind. Eng. 168: 108116 (2022) - [j207]Tong Wu, Cristina Zuheros, Xinwang Liu, Francisco Herrera:
Managing minority opinions in large-scale group decision making based on community detection and group polarization. Comput. Ind. Eng. 170: 108337 (2022) - [j206]Jing Jiang, Xinwang Liu:
A quantum cognition based group decision making model considering interference effects in consensus reaching process. Comput. Ind. Eng. 173: 108705 (2022) - [j205]Xiaoqing Chen, Xinwang Liu, Qun Wu, Muhammet Deveci, Luis Martínez:
Measuring technological innovation efficiency using interval type-2 fuzzy super-efficiency slack-based measure approach. Eng. Appl. Artif. Intell. 116: 105405 (2022) - [j204]Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu:
Adaptive partial graph learning and fusion for incomplete multi-view clustering. Int. J. Intell. Syst. 37(1): 991-1009 (2022) - [j203]Wangwang Yu, Xinwang Liu:
Behavioral Risky Multiple Attribute Decision Making with Interval Type-2 Fuzzy Ranking Method and TOPSIS Method. Int. J. Inf. Technol. Decis. Mak. 21(2): 665-705 (2022) - [j202]Weizhong Wang, Ling Ding, Xinwang Liu, Shuli Liu:
An interval 2-Tuple linguistic Fine-Kinney model for risk analysis based on extended ORESTE method with cumulative prospect theory. Inf. Fusion 78: 40-56 (2022) - [j201]Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang:
Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion 79: 162-173 (2022) - [j200]Xiaofei Li, Binhua Ye, Xinwang Liu:
The solution for type-2 fuzzy linear programming model based on the nearest interval approximation. J. Intell. Fuzzy Syst. 42(3): 2275-2285 (2022) - [j199]Xiaoqing Chen, Xinwang Liu, Qingyuan Zhu, Jing Jiang:
R&D innovation efficiency of Chinese high-tech industries: Three-stage network approach with fairness consideration. J. Oper. Res. Soc. 73(7): 1562-1577 (2022) - [j198]Tong Wu, Ru Zhang, Xinwang Liu, Fang Liu, Yi Ding:
A social commerce purchasing decision model with trust network and item review information. Knowl. Based Syst. 235: 107628 (2022) - [j197]Yixing Lan, Xin Xu, Qiang Fang, Yujun Zeng, Xinwang Liu, Xianjian Zhang:
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees. Knowl. Based Syst. 242: 108221 (2022) - [j196]Qun Wu, Xinwang Liu, Jindong Qin, Ligang Zhou, Abbas Mardani, Muhammet Deveci:
An integrated generalized TODIM model for portfolio selection based on financial performance of firms. Knowl. Based Syst. 249: 108794 (2022) - [j195]Sihang Zhou, Dong Nie, Ehsan Adeli, Qian Wei, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen:
Semantic instance segmentation with discriminative deep supervision for medical images. Medical Image Anal. 82: 102626 (2022) - [j194]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. Neural Networks 153: 292-302 (2022) - [j193]Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 955-968 (2022) - [j192]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu:
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6649-6666 (2022) - [j191]Qiaohong Zheng, Xinwang Liu, Weizhong Wang:
A likelihood-based ORESTE method for failure mode and effect analysis (FMEA) based risk analysis problem under interval type-2 fuzzy environment. Qual. Reliab. Eng. Int. 38(1): 304-325 (2022) - [j190]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making. IEEE Trans. Fuzzy Syst. 30(11): 4741-4753 (2022) - [j189]Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu:
Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance. IEEE Trans. Image Process. 31: 556-568 (2022) - [j188]Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. 31: 2067-2080 (2022) - [j187]Heli Sun, Xianglan Guo, Zhou Yang, Xuguang Chu, Xinwang Liu, Liang He:
Predicting Future Locations with Semantic Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 7:1-7:20 (2022) - [j186]Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang:
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. 34(6): 2872-2885 (2022) - [j185]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. IEEE Trans. Knowl. Data Eng. 34(7): 3418-3430 (2022) - [j184]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-Step Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 34(10): 4676-4689 (2022) - [j183]Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang:
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 34(10): 4705-4716 (2022) - [j182]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 24: 2461-2472 (2022) - [j181]Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu:
Projective Multiple Kernel Subspace Clustering. IEEE Trans. Multim. 24: 2567-2579 (2022) - [j180]Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan:
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1535-1545 (2022) - [j179]Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He:
Multiview Subspace Clustering via Co-Training Robust Data Representation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5177-5189 (2022) - [j178]Qun Wu, Xinwang Liu, Ligang Zhou, Zhifu Tao, Jindong Qin:
A Quantum Framework for Modeling Interference Effects in Linguistic Distribution Multiple Criteria Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3492-3507 (2022) - [j177]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5271-5283 (2022) - [c112]Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
Robust Graph-Based Multi-View Clustering. AAAI 2022: 7462-7469 - [c111]Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao:
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. AAAI 2022: 7576-7584 - [c110]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. AAAI 2022: 7603-7611 - [c109]Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - [c108]Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu:
Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. CVPR 2022: 9766-9775 - [c107]Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu:
Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement. CVPR 2022: 13967-13978 - [c106]Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. CVPR 2022: 16959-16968 - [c105]Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao:
Platform-Oriented Event Time Allocation(Extended Abstract). ICDE 2022: 1525-1536 - [c104]Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu:
Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI 2022: 3015-3021 - [c103]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng:
Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI 2022: 3494-3500 - [c102]Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu:
Sample Weighted Multiple Kernel K-means via Min-Max optimization. ACM Multimedia 2022: 1679-1687 - [c101]Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. ACM Multimedia 2022: 3440-3450 - [c100]Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu:
Continual Multi-view Clustering. ACM Multimedia 2022: 3676-3684 - [c99]Tiejian Zhang, Xinwang Liu, En Zhu, Sihang Zhou, Zhibin Dong:
Efficient Anchor Learning-based Multi-view Clustering - A Late Fusion Method. ACM Multimedia 2022: 3685-3693 - [c98]Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chengkun Wu:
Effective Video Abnormal Event Detection by Learning A Consistency-Aware High-Level Feature Extractor. ACM Multimedia 2022: 6337-6346 - [c97]Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu:
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel. NeurIPS 2022 - [c96]Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang:
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2022 - [c95]Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu:
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. NeurIPS 2022 - [i42]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. CoRR abs/2202.11915 (2022) - [i41]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i40]Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. CoRR abs/2203.01152 (2022) - [i39]Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu:
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. CoRR abs/2205.15075 (2022) - [i38]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i37]Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph. CoRR abs/2207.02846 (2022) - [i36]Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. CoRR abs/2207.06041 (2022) - [i35]Siwei Wang, Xinwang Liu, En Zhu:
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. CoRR abs/2208.01198 (2022) - [i34]Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu:
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR abs/2211.10738 (2022) - [i33]Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu:
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR abs/2211.12875 (2022) - [i32]Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin:
GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning. CoRR abs/2211.15255 (2022) - [i31]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i30]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun:
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. CoRR abs/2212.05767 (2022) - [i29]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR abs/2212.08665 (2022) - 2021
- [j176]Miaomiao Li, Weixuan Liang, Xinwang Liu:
Multi-View Clustering With Learned Bipartite Graph. IEEE Access 9: 87952-87961 (2021) - [j175]Qun Wu, Xinwang Liu, Jindong Qin, Weizhong Wang, Ligang Zhou:
A linguistic distribution behavioral multi-criteria group decision making model integrating extended generalized TODIM and quantum decision theory. Appl. Soft Comput. 98: 106757 (2021) - [j174]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design. Appl. Soft Comput. 111: 107665 (2021) - [j173]Shilian Han, Wei Wang, Xinwang Liu:
A new type-2 fuzzy multi-criteria hybrid method for rail transit operation safety assessment. Appl. Soft Comput. 113(Part): 107927 (2021) - [j172]Xiaoqing Chen, Xinwang Liu, Zaiwu Gong, Jiangtao Xie:
Three-stage super-efficiency DEA models based on the cooperative game and its application on the R&D green innovation of the Chinese high-tech industry. Comput. Ind. Eng. 156: 107234 (2021) - [j171]Lulu She, Shilian Han, Xinwang Liu:
Application of quantum-like Bayesian network and belief entropy for interference effect in multi-attribute decision making problem. Comput. Ind. Eng. 157: 107307 (2021) - [j170]Kun Zhang, Xinwang Liu, Weizhong Wang, Jing Li:
Multi-criteria recommender system based on social relationships and criteria preferences. Expert Syst. Appl. 176: 114868 (2021) - [j169]Guang Yang, Mei Cai, Jindong Qin, Xinwang Liu, Xu Zhang:
Analytical Reduction Method for New Type-2 Fuzzy Chance-Constrained Portfolio Selection Model. Int. J. Comput. Intell. Syst. 14(1): 1617-1632 (2021) - [j168]Weizhong Wang, Xinwang Liu, Yilin Ma, Shuli Liu:
A New Approach for Occupational Risk Evaluation of Natural Gas Pipeline Construction with Extended Cumulative Prospect Theory. Int. J. Fuzzy Syst. 23(1): 158-181 (2021) - [j167]Qiaohong Zheng, Xinwang Liu, Weizhong Wang:
An Extended Interval Type-2 Fuzzy ORESTE Method for Risk Analysis in FMEA. Int. J. Fuzzy Syst. 23(5): 1379-1395 (2021) - [j166]Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu:
Partial multiview clustering with locality graph regularization. Int. J. Intell. Syst. 36(6): 2991-3010 (2021) - [j165]Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu:
Improved autoencoder for unsupervised anomaly detection. Int. J. Intell. Syst. 36(12): 7103-7125 (2021) - [j164]Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu:
Multiple kernel clustering with late fusion consensus local graph preserving. Int. J. Intell. Syst. 36(12): 7500-7521 (2021) - [j163]Qun Wu, Xinwang Liu, Jindong Qin, Ligang Zhou:
Multi-criteria group decision-making for portfolio allocation with consensus reaching process under interval type-2 fuzzy environment. Inf. Sci. 570: 668-688 (2021) - [j162]Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu:
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j161]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) - [j160]Huayue Cai, Xiang Zhang, Long Lan, Guohua Dong, Chuanfu Xu, Xinwang Liu, Zhigang Luo:
Learning deep discriminative embeddings via joint rescaled features and log-probability centers. Pattern Recognit. 114: 107852 (2021) - [j159]