Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXinwang Liu 0002
刘新旺
Person information
- unicode name: 刘新旺
- affiliation: National University of Defense Technology (NUDT), School of Computer, Changsha, China
Other persons with the same name
- Xinwang Liu (aka: Xin-Wang Liu) — disambiguation page
- Xinwang Liu 0001
![[0000-0001-8230-8380]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8230-8380")
(aka: Xin-Wang Liu 0001) — Southeast University, School of Economics and Management, Nanjing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j118]Xinwang Liu:
Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1412-1424 (2024)- [j117]Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu:
How to Construct Corresponding Anchors for Incomplete Multiview Clustering. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2845-2860 (2024) - [j116]Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu:
An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Trans. Fuzzy Syst. 32(4): 1886-1899 (2024) - [j115]Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu:
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36(1): 226-238 (2024) - [j114]Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen:
Partial Clustering Ensemble. IEEE Trans. Knowl. Data Eng. 36(5): 2096-2109 (2024) - [j113]Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu:
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph. IEEE Trans. Neural Networks Learn. Syst. 35(1): 300-310 (2024) - [j112]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang:
Multiview Deep Anomaly Detection: A Systematic Exploration. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1651-1665 (2024) - [j111]Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li:
Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1721-1734 (2024) - [j110]Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu:
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2054-2065 (2024) - 2023
- [j109]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) - [j108]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) - [j107]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j106]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) - [j105]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) - [j104]Xinwang Liu:
SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5174-5186 (2023) - [j103]Xinwang Liu:
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8566-8576 (2023) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu:
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j95]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) - [j94]Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu:
Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints. IEEE Trans. Image Process. 32: 5197-5208 (2023) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]Yu Hu, Endai Guo, Zhi Xie, Xinwang Liu, Hongmin Cai:
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 35(10): 10397-10410 (2023) - [j88]Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang:
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023) - [j87]Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li:
Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter. IEEE Trans. Knowl. Data Eng. 35(12): 12842-12854 (2023) - [j86]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) - [j85]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) - [j84]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) - [j83]Jianhua Dai, Xing Yang, Lin Xiao, Lei Jia, Xinwang Liu, Yaonan Wang:
Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7135-7144 (2023) - 2022
- [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - 2021
- [j65]Miaomiao Li, Weixuan Liang, Xinwang Liu:
Multi-View Clustering With Learned Bipartite Graph. IEEE Access 9: 87952-87961 (2021) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou:
Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. 51(10): 5156-5169 (2021) - [j57]Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin:
A Theoretical Revisit to Linear Convergence for Saddle Point Problems. ACM Trans. Intell. Syst. Technol. 12(1): 10:1-10:17 (2021) - [j56]Huawen Liu, Enhui Li, Xinwang Liu, Kaile Su, Shichao Zhang:
Anomaly Detection With Kernel Preserving Embedding. ACM Trans. Knowl. Discov. Data 15(5): 91:1-91:18 (2021) - [j55]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) - [j54]Chang Tang, Xinwang Liu, Shan An, Pichao Wang:
BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. IEEE Trans. Multim. 23: 624-635 (2021) - [j53]Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li:
Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1497-1511 (2021) - [j52]Jiahang Liu, Lei Zuo, Xin Xu, Xinglong Zhang, Junkai Ren, Qiang Fang, Xinwang Liu:
Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3664-3677 (2021) - 2020
- [j51]Qiang Wang, Xinwang Liu, Jiaqing Xu:
ℓq-Norm Sample-Adaptive Multiple Kernel Learning. IEEE Access 8: 39428-39438 (2020) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - 2019
- [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - 2018
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin:
Financial time series prediction using ℓ2, 1RF-ELM. Neurocomputing 277: 176-186 (2018) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - 2017
- [j18]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) - [j17]Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv:
Multiple kernel clustering with corrupted kernels. Neurocomputing 267: 447-454 (2017) - [j16]Yueqing Wang, Xinwang Liu, Yong Dou, Qi Lv, Yao Lu:
Multiple kernel learning with hybrid kernel alignment maximization. Pattern Recognit. 70: 104-111 (2017) - 2016
- [j15]Qiang Liu, Sihang Zhou, Chengzhang Zhu, Xinwang Liu, Jianping Yin:
MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. Neurocomputing 173: 1044-1053 (2016) - [j14]Yueqing Wang, Yong Dou, Xinwang Liu, Yuanwu Lei:
PR-ELM: Parallel regularized extreme learning machine based on cluster. Neurocomputing 173: 1073-1081 (2016) - [j13]Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin:
Random Fourier extreme learning machine with ℓ2, 1-norm regularization. Neurocomputing 174: 143-153 (2016) - [j12]Qiang Wang, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li:
Multi-view clustering with extreme learning machine. Neurocomputing 214: 483-494 (2016) - [j11]Yang Zhao, Yong Dou, Xinwang Liu, Teng Li:
A novel multi-view clustering method via low-rank and matrix-induced regularization. Neurocomputing 216: 342-350 (2016) - [j10]Teng Li, Yong Dou, Xinwang Liu:
Joint diversity regularization and graph regularization for multiple kernel k-means clustering via latent variables. Neurocomputing 218: 154-163 (2016) - [j9]Peidai Xie, Xinwang Liu, Jianping Yin, Yongjun Wang:
Absent extreme learning machine algorithm with application to packed executable identification. Neural Comput. Appl. 27(1): 93-100 (2016) - 2015
- [j8]Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin:
Multiple kernel extreme learning machine. Neurocomputing 149: 253-264 (2015) - [j7]Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen:
An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction. Pattern Recognit. 48(7): 2141-2150 (2015) - 2014
- [j6]Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu:
Global and Local Structure Preservation for Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1083-1095 (2014) - 2013
- [j5]Yubin Zhan, Jianping Yin, Xinwang Liu:
Nonlinear discriminant clustering based on spectral regularization. Neural Comput. Appl. 22(7-8): 1599-1608 (2013) - [j4]Bo Liu, Bin Fang, Xinwang Liu, Jie Chen, Zhenghong Huang, Xiping He:
Large Margin Subspace Learning for feature selection. Pattern Recognit. 46(10): 2798-2806 (2013) - [j3]Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang:
An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. 43(1): 371-384 (2013) - [j2]Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang:
An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. IEEE Trans. Cybern. 43(2): 557-569 (2013) - 2012
- [j1]Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu:
Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing 89: 30-38 (2012)
Conference and Workshop Papers
- 2024
- [c93]Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu:
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. AAAI 2024: 8733-8741 - [c92]Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu:
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI 2024: 10645-10653 - [c91]Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu:
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI 2024: 14017-14025 - [c90]Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu:
Attribute-Missing Graph Clustering Network. AAAI 2024: 15392-15401 - [c89]Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu:
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. AAAI 2024: 16568-16577 - 2023
- [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu:
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. ICCV 2023: 19383-19394 - [c82]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 - [c81]Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu:
Consistency of Multiple Kernel Clustering. ICML 2023: 20650-20676 - [c80]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 - [c79]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. ACM Multimedia 2023: 319-327 - [c78]Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia 2023: 337-346 - [c77]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. ACM Multimedia 2023: 3021-3030 - [c76]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. ACM Multimedia 2023: 3031-3040 - [c75]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia 2023: 3365-3374 - [c74]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia 2023: 3528-3537 - [c73]Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu:
DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. ACM Multimedia 2023: 3550-3559 - [c72]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. ACM Multimedia 2023: 7502-7511 - [c71]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 - 2022
- [c70]Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
Robust Graph-Based Multi-View Clustering. AAAI 2022: 7462-7469 - [c69]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 - [c68]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 - [c67]Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - [c66]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 - [c65]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 - [c64]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 - [c63]Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu:
Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI 2022: 3015-3021 - [c62]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 - [c61]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 - [c60]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 - [c59]Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu:
Continual Multi-view Clustering. ACM Multimedia 2022: 3676-3684 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - 2021
- [c54]Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang:
Hierarchical Multiple Kernel Clustering. AAAI 2021: 8671-8679 - [c53]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. AAAI 2021: 9978-9987 - [c52]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang:
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c51]Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi:
One-pass Multi-view Clustering for Large-scale Data. ICCV 2021: 12324-12333 - [c50]Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu:
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME 2021: 1-6 - [c49]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c48]Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya:
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI 2021: 3038-3044 - [c47]Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu:
One-Stage Incomplete Multi-view Clustering via Late Fusion. ACM Multimedia 2021: 2717-2725 - [c46]Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang:
Self-Representation Subspace Clustering for Incomplete Multi-view Data. ACM Multimedia 2021: 2726-2734 - [c45]Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang:
Scalable Multi-view Subspace Clustering with Unified Anchors. ACM Multimedia 2021: 3528-3536 - [c44]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM Multimedia 2021: 4156-4164 - 2020
- [c43]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 - [c42]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 - [c41]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 - 2019
- [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. IJCAI 2019: 2413-2419 - [c34]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 - [c33]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 - [c32]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 - 2018
- [c31]Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Embedding for Determining the Number of Clusters. AAAI 2018: 8173-8174 - [c30]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin:
Variance Reduced K-Means Clustering. AAAI 2018: 8187-8188 - [c29]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. ACML 2018: 550-565 - [c28]Yongkai Ye, Xinwang Liu, Jianping Yin:
Multi-view Clustering with Noisy Views. CSAI/ICIMT 2018: 339-344 - [c27]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 - [c26]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c25]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 - [c24]Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin:
A Kernel Method with Manifold Regularization for Interactive Segmentation. NCTCS 2018: 141-149 - 2017
- [c23]Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. AAAI 2017: 2259-2265 - [c22]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 - [c21]Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Clustering with Convolutional Autoencoders. ICONIP (2) 2017: 373-382 - [c20]Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin:
Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017: 1753-1759 - [c19]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Multiple Kernel Clustering Framework with Improved Kernels. IJCAI 2017: 2999-3005 - [c18]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. IJCAI 2017: 3006-3012 - 2016
- [c17]Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu:
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. AAAI 2016: 1888-1894 - [c16]Yule Li, Yong Dou, Xinwang Liu, Teng Li:
Localized region context and object feature fusion for people head detection. ICIP 2016: 594-598 - [c15]Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu:
Co-regularized kernel k-means for multi-view clustering. ICPR 2016: 1583-1588 - [c14]Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Appearance changes detection during tracking. ICPR 2016: 1821-1826 - [c13]Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel Clustering with Local Kernel Alignment Maximization. IJCAI 2016: 1704-1710 - [c12]Yang Zhao, Yong Dou, Xinwang Liu, Teng Li:
ELM based multiple kernel k-means with diversity-induced regularization. IJCNN 2016: 2699-2705 - 2015
- [c11]Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang:
Absent Multiple Kernel Learning. AAAI 2015: 2807-2813 - 2014
- [c10]Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin:
Sample-Adaptive Multiple Kernel Learning. AAAI 2014: 1975-1981 - [c9]Shangrong Huang, Jian Zhang, Xinwang Liu, Lei Wang:
A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection. ICPR 2014: 1615-1620 - [c8]Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin:
Spectral clustering-based local and global structure preservation for feature selection. IJCNN 2014: 550-557 - [c7]Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin:
A binary feature selection framework in kernel spaces. IJCNN 2014: 4190-4197 - [c6]Xinwang Liu, Jianping Yin, Jun Long:
On Radius-Incorporated Multiple Kernel Learning. MDAI 2014: 227-240 - 2011
- [c5]Lingqiao Liu, Lei Wang, Xinwang Liu:
In defense of soft-assignment coding. ICCV 2011: 2486-2493 - 2009
- [c4]Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang:
A Max-Margin Learning Algorithm with Additional Features. FAW 2009: 196-206 - [c3]Yubin Zhan, Jianping Yin, Xinwang Liu, Guomin Zhang:
Adaptive Neighborhood Select Based on Local Linearity for Nonlinear Dimensionality Reduction. ISICA 2009: 337-348 - [c2]Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li:
A Large Margin Classifier with Additional Features. MLDM 2009: 82-95 - 2008
- [c1]Xinwang Liu, Guomin Zhang, Yubin Zhan, En Zhu:
An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine. FAW 2008: 330-338
Informal and Other Publications
- 2024
- [i57]Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao:
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection. CoRR abs/2402.01304 (2024) - 2023
- [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i51]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) - [i50]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) - [i49]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) - [i48]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu:
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. CoRR abs/2309.06034 (2023) - [i33]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. CoRR abs/2309.11845 (2023) - [i32]Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu:
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion. CoRR abs/2309.15135 (2023) - [i31]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR abs/2311.09726 (2023) - [i30]Dayu Hu, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu:
Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters. CoRR abs/2311.17103 (2023) - 2022
- [i29]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) - [i28]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i27]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) - [i26]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i25]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) - [i24]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) - [i23]Siwei Wang, Xinwang Liu, En Zhu:
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. CoRR abs/2208.01198 (2022) - [i22]Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu:
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR abs/2211.10738 (2022) - [i21]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) - [i20]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) - [i19]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i18]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) - [i17]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
- [i16]Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu:
Deep Distribution-preserving Incomplete Clustering with Optimal Transport. CoRR abs/2103.11424 (2021) - [i15]Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin:
Multi-view Deep One-class Classification: A Systematic Exploration. CoRR abs/2104.13000 (2021) - [i14]Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan:
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. CoRR abs/2105.00248 (2021) - [i13]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. CoRR abs/2105.00277 (2021) - [i12]Siqi Wang, Guang Yu, Zhiping Cai, En Zhu, Xinwang Liu, Jianping Yin, Chengzhang Zhu:
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. CoRR abs/2108.01975 (2021) - [i11]Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao:
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. CoRR abs/2108.02356 (2021) - [i10]Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu:
Siamese Attribute-missing Graph Auto-encoder. CoRR abs/2112.04842 (2021) - [i9]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. CoRR abs/2112.14772 (2021) - 2020
- [i8]Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. CoRR abs/2005.04975 (2020) - [i7]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) - [i6]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. CoRR abs/2012.09600 (2020) - 2019
- [i5]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. CoRR abs/1908.01384 (2019) - [i4]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
- [i3]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) - [i2]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
- [i1]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)
Coauthor Index
[j117] [j113] [j111] [j88] [j87] [j86] [j85] [j84] [j76] [j73] [j72] [j68] [j64] [j63] [j62] [j43] [j42] [j41] [c92] [c91] [c89] [c87] [c86] [c85] [c84] [c83] [c79] [c78] [c77] [c76] [c72] [c71] [c70] [c69] [c66] [c61] [c60] [c56] [c55] [c54] [c52] [c49] [c47] [c46] [c45] [c44] [c34] [c33] [i56] [i53] [i51] [i48] [i47] [i44] [i43] [i41] [i38] [i37] [i36] [i35] [i34] [i30] [i27] [i25] [i24] [i23] [i21] [i20] [i19] [i18] [i16] [i14] [i13] [i7]
[j112] [j105] [j95] [j85] [j80] [j57] [j55] [j50] [j49] [j48] [j47] [j46] [j44] [j42] [j39] [j35] [j34] [j33] [j30] [j29] [j26] [j25] [j24] [j21] [j20] [j18] [j15] [j13] [j9] [j8] [j7] [j6] [j5] [j3] [j2] [j1] [c42] [c40] [c38] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [c15] [c14] [c13] [c11] [c10] [c8] [c7] [c6] [c4] [c3] [c2] [i15] [i12] [i11] [i5] [i4] [i3] [i2]
[j115] [j112] [j110] [j109] [j105] [j85] [j84] [j80] [j73] [j72] [j71] [j68] [j50] [j44] [j26] [j15] [j13] [c93] [c92] [c90] [c88] [c86] [c82] [c80] [c79] [c78] [c75] [c74] [c71] [c70] [c68] [c66] [c63] [c62] [c58] [c56] [c54] [c53] [c52] [c46] [c45] [c44] [c42] [c22] [c8] [c7] [i56] [i55] [i54] [i52] [i50] [i49] [i48] [i47] [i46] [i44] [i40] [i39] [i38] [i37] [i33] [i29] [i28] [i26] [i22] [i21] [i19] [i18] [i17] [i16] [i15] [i13] [i10] [i9] [i7] [i6]
[j117] [j112] [j111] [j110] [j108] [j107] [j105] [j95] [j94] [j91] [j90] [j85] [j84] [j82] [j81] [j80] [j79] [j76] [j75] [j72] [j71] [j69] [j68] [j63] [j62] [j61] [j57] [j55] [j50] [j49] [j48] [j47] [j46] [j44] [j43] [j42] [j41] [j39] [j34] [j33] [j30] [j25] [j24] [j2] [c91] [c89] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c79] [c78] [c76] [c70] [c68] [c67] [c66] [c62] [c61] [c60] [c59] [c58] [c56] [c55] [c53] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c38] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c25] [c24] [c23] [c22] [c21] [c17] [c15] [c14] [c13] [c4] [c2] [c1] [i56] [i53] [i52] [i51] [i45] [i43] [i38] [i37] [i36] [i32] [i29] [i27] [i26] [i25] [i24] [i23] [i19] [i16] [i15] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 23:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
