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Xinwang Liu
Xin-Wang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
- [j238]Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu:
scDFC: A deep fusion clustering method for single-cell RNA-seq data. Briefings Bioinform. 24(4) (2023) - [j237]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) - [j236]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) - [j235]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) - [j234]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) - [j233]Xinwang Liu, Yuyao Yang, Jing Jiang:
The Behavioral TOPSIS Based on Prospect Theory and Regret Theory. Int. J. Inf. Technol. Decis. Mak. 22(5): 1591-1615 (2023) - [j232]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j231]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) - [j230]Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang:
Multi-view subspace clustering via adaptive graph learning and late fusion alignment. Neural Networks 165: 333-343 (2023) - [j229]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) - [j228]Xinwang Liu
:
SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5174-5186 (2023) - [j227]Xinwang Liu
:
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8566-8576 (2023) - [j226]Jiyuan Liu
, Xinwang Liu
, Yuexiang Yang, Qing Liao, Yuanqing Xia
:
Contrastive Multi-View Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9552-9566 (2023) - [j225]Yongshun Gong
, Zhibin Li
, Wei Liu
, Xiankai Lu
, Xinwang Liu
, Ivor W. Tsang
, Yilong Yin
:
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11053-11066 (2023) - [j224]Xiang Wang, Junxing Zhu, Zichen Xu, Kaijun Ren, Xinwang Liu, Fengyun Wang:
Local nonlinear dimensionality reduction via preserving the geometric structure of data. Pattern Recognit. 143: 109663 (2023) - [j223]Qiong Liu, Qi Zhang, Wei Liu, Wenbai Chen, Xinwang Liu, Xiangke Wang:
WSDS-GAN: A weak-strong dual supervised learning method for underwater image enhancement. Pattern Recognit. 143: 109774 (2023) - [j222]Qiaohong Zheng, Xinwang Liu, Weizhong Wang:
A consensus model-based risk matrix for human error factors risk analysis in medical devices by considering risk acceptability. Reliab. Eng. Syst. Saf. 238: 109446 (2023) - [j221]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) - [j220]Jun Wang
, Chang Tang
, Xinwang Liu
, Wei Zhang
, Wanqing Li
, Xinzhong Zhu
, Lizhe Wang
, Albert Y. Zomaya
:
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Trans. Cybern. 53(8): 5250-5263 (2023) - [j219]Xiao He
, Chang Tang
, Xinwang Liu
, Wei Zhang
, Kun Sun
, Jiangfeng Xu:
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j218]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) - [j217]Guang Yu
, Siqi Wang
, Zhiping Cai
, Xinwang Liu
, En Zhu
, Jianping Yin
:
Video Anomaly Detection via Visual Cloze Tests. IEEE Trans. Inf. Forensics Secur. 18: 4955-4969 (2023) - [j216]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) - [j215]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) - [j214]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) - [j213]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) - [j212]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) - [j211]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) - [j210]Siwei Wang
, Xinwang Liu
, Li Liu
, Sihang Zhou
, En Zhu
:
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4359-4370 (2023) - [c121]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. AAAI 2023: 8914-8922 - [c120]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. AAAI 2023: 10078-10086 - [c119]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu:
Cluster-Guided Contrastive Graph Clustering Network. AAAI 2023: 10834-10842 - [c118]Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo:
Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering. AAAI 2023: 11262-11269 - [c117]Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu:
Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment. CVPR 2023: 11600-11609 - [c116]Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-step Multi-view Subspace Clustering (Extended abstract). ICDE 2023: 3761-3762 - [c115]Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu:
Consistency of Multiple Kernel Clustering. ICML 2023: 20650-20676 - [c114]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c113]Ke Liang
, Lingyuan Meng
, Meng Liu
, Yue Liu
, Wenxuan Tu
, Siwei Wang
, Sihang Zhou
, Xinwang Liu
:
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. SIGIR 2023: 1559-1568 - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i62]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) - [i61]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) - [i60]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) - [i59]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i58]Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu:
Message Intercommunication for Inductive Relation Reasoning. CoRR abs/2305.14074 (2023) - [i57]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i56]Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu:
Fast Continual Multi-View Clustering with Incomplete Views. CoRR abs/2306.02389 (2023) - [i55]Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu:
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. CoRR abs/2306.04962 (2023) - [i54]Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding:
G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. CoRR abs/2306.04984 (2023) - [i53]Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu:
One-step Multi-view Clustering with Diverse Representation. CoRR abs/2306.05437 (2023) - [i52]Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu:
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. CoRR abs/2306.08370 (2023) - [i51]Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu:
Decoupled Diffusion Models with Explicit Transition Probability. CoRR abs/2306.13720 (2023) - [i50]Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He:
Medical Federated Model with Mixture of Personalized and Sharing Components. CoRR abs/2306.14483 (2023) - [i49]Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu:
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. CoRR abs/2307.03476 (2023) - [i48]Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu:
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR abs/2307.03591 (2023) - [i47]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i46]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i45]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR abs/2308.09000 (2023) - [i44]Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu:
Scalable Incomplete Multi-View Clustering with Structure Alignment. CoRR abs/2308.16541 (2023) - [i43]Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang:
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. CoRR abs/2309.00024 (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]