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ORCIDXinwang Liu 0002
刘新旺
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- 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://dblp.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
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2020 – today
- 2025
[j155]Yuehang Si, Xingchen Hu, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang:
Coherence mode: Characterizing local graph structural information for temporal knowledge graph. Inf. Sci. 686: 121357 (2025)- 2024
- [j154]Dayu Hu, Renxiang Guan, Ke Liang, Hao Yu, Hao Quan, Yawei Zhao, Xinwang Liu, Kunlun He:
scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data. Briefings Bioinform. 25(6) (2024) - [j153]Wenqi Yang, Minhui Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Kunlun He:
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion 107: 102323 (2024) - [j152]Xiao Teng, Chuan Li, Xueqiong Li, Xinwang Liu, Long Lan:
TIG-CL: Teacher-Guided Individual- and Group-Aware Contrastive Learning for Unsupervised Person Reidentification in Internet of Things. IEEE Internet Things J. 11(21): 35060-35072 (2024) - [j151]Yan Li, Xingchen Hu, Tuanfei Zhu, Jiyuan Liu, Xinwang Liu, Zhong Liu:
Discriminative embedded multi-view fuzzy C-means clustering for feature-redundant and incomplete data. Inf. Sci. 677: 120830 (2024) - [j150]Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong:
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287: 111449 (2024) - [j149]Xinwang Liu:
Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1412-1424 (2024) - [j148]Weixuan Liang, Chang Tang, Xinwang Liu, Yong Liu, Jiyuan Liu, En Zhu, Kunlun He:
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6935-6947 (2024) - [j147]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He:
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9456-9478 (2024) - [j146]Yidan Sun, Guiyuan Jiang, Xinwang Liu, Peilan He, Siew-Kei Lam:
Layer Sequence Extraction of Optimized DNNs Using Side-Channel Information Leaks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3102-3115 (2024) - [j145]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) - [j144]Huimin Ma, Siwei Wang, Junpu Zhang, Shengju Yu, Suyuan Liu, Xinwang Liu, Kunlun He:
Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8766-8778 (2024) - [j143]Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu:
Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning. IEEE Trans. Cybern. 54(11): 7024-7037 (2024) - [j142]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) - [j141]Dayu Hu, Zhibin Dong, Ke Liang, Hao Yu, Siwei Wang, Xinwang Liu:
High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 32(8): 4448-4459 (2024) - [j140]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. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j139]Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu:
Fast Continual Multi-View Clustering With Incomplete Views. IEEE Trans. Image Process. 33: 2995-3008 (2024) - [j138]Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu:
Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion. IEEE Trans. Image Process. 33: 4627-4639 (2024) - [j137]Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18(7): 162 (2024) - [j136]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) - [j135]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) - [j134]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He:
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024) - [j133]Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz:
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. IEEE Trans. Knowl. Data Eng. 36(11): 5621-5632 (2024) - [j132]Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu:
Fast Approximated Multiple Kernel K-Means. IEEE Trans. Knowl. Data Eng. 36(11): 6171-6180 (2024) - [j131]Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Xinhang Wan, Xinwang Liu:
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Trans. Knowl. Data Eng. 36(11): 6641-6652 (2024) - [j130]Wenqi Yang, Chang Tang, Xiao Zheng, Xinzhong Zhu, Xinwang Liu:
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8135-8147 (2024) - [j129]Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu:
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. 36(12): 8206-8219 (2024) - [j128]Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He:
Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8889-8900 (2024) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu:
Fast Incomplete Multi-View Clustering With View-Independent Anchors. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7740-7751 (2024) - [j122]Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu:
Deep Fusion Clustering Network With Reliable Structure Preservation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7792-7803 (2024) - [j121]Miaomiao Li, Xinwang Liu, Yi Zhang, Weixuan Liang:
Late Fusion Multiview Clustering via Min-Max Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9417-9427 (2024) - [j120]Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu:
Task-Related Saliency for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10751-10763 (2024) - [j119]Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li:
Active Clustering Ensemble With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12186-12200 (2024) - [j118]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li:
Simple Contrastive Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13789-13800 (2024) - [j117]Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao:
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15910-15919 (2024) - [j116]Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu:
Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16049-16063 (2024) - [j115]Wenxuan Tu, Shaohua Kevin Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, Yue Liu:
Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16748-16761 (2024) - [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]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 - [c108]Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu:
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering. CVPR 2024: 26151-26161 - [c107]Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. ICLR 2024 - [c106]Weixuan Liang, En Zhu, Shengju Yu, Huiying Xu, Xinzhong Zhu, Xinwang Liu:
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation. ICML 2024 - [c105]Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu:
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. ICML 2024 - [c104]Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu:
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. ICML 2024 - [c103]Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan:
Unsupervised Graph Anomaly Detection on Directed Attribute Network. IJCNN 2024: 1-8 - [c102]Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu:
Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. ACM Multimedia 2024: 1456-1466 - [c101]Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. ACM Multimedia 2024: 1554-1563 - [c100]Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu:
Test-Time Training on Graphs with Large Language Models (LLMs). ACM Multimedia 2024: 2089-2098 - [c99]Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu:
Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering. ACM Multimedia 2024: 5045-5054 - [c98]Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu:
GraphLearner: Graph Node Clustering with Fully Learnable Augmentation. ACM Multimedia 2024: 5517-5526 - [c97]Xiao He, Chang Tang, Xinwang Liu, Chuankun Li, Shan An, Zhenglai Li:
Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. ACM Multimedia 2024: 8287-8295 - [c96]Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu:
View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering. ACM Multimedia 2024: 8431-8440 - [c95]Qian Qu, Xinhang Wan, Weixuan Liang, Jiyuan Liu, Yu Feng, Huiying Xu, Xinwang Liu, En Zhu:
A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. ACM Multimedia 2024: 8652-8661 - [i77]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) - [i76]Long Lan, Fengxiang Wang, Shuyan Li, Xiangtao Zheng, Zengmao Wang, Xinwang Liu:
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification. CoRR abs/2403.08271 (2024) - [i75]Xiaoshu Chen, Sihang Zhou, Ke Liang, Xinwang Liu:
Post-Semantic-Thinking: A Robust Strategy to Distill Reasoning Capacity from Large Language Models. CoRR abs/2404.09170 (2024) - [i74]Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu:
Test-Time Training on Graphs with Large Language Models (LLMs). CoRR abs/2404.13571 (2024) - [i73]Yuhang Huang, SHilong Zou, Xinwang Liu, Kai Xu:
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields. CoRR abs/2405.00998 (2024) - [i72]Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-time Training for Out-of-distribution Recommender System. CoRR abs/2407.15620 (2024) - [i71]Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - [i70]Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He:
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR abs/2409.04111 (2024) - 2023
- [j114]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) - [j113]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) - [j112]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j111]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) - [j110]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) - [j109]Xinwang Liu:
SimpleMKKM: Simple Multiple Kernel K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5174-5186 (2023) - [j108]Xinwang Liu:
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8566-8576 (2023) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]Weixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu, En Zhu:
Consistency of Multiple Kernel Clustering. ICML 2023: 20650-20676 - [c86]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 - [c85]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 - [c84]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. ACM Multimedia 2023: 337-346 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]Linxuan Song, Wenxuan Tu, Sihang Zhou, Xinwang Liu, En Zhu:
GANN: Graph Alignment Neural Network for Semi-Supervised Learning. CoRR abs/2303.07778 (2023) - [i64]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) - [i63]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) - [i62]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) - [i61]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu:
Decoupled Diffusion Models with Explicit Transition Probability. CoRR abs/2306.13720 (2023) - [i52]Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He:
Medical Federated Model with Mixture of Personalized and Sharing Components. CoRR abs/2306.14483 (2023) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]Xinhang Wan, Jiyuan Liu, Ao Li, Xinwang Liu, En Zhu:
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion. CoRR abs/2309.15135 (2023) - [i41]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) - [i40]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) - [i39]Dayu Hu, Ke Liang, Xinwang Liu:
Single-Cell Clustering via Dual-Graph Alignment. CoRR abs/2311.17104 (2023) - 2022
- [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [c76]Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
Robust Graph-Based Multi-View Clustering. AAAI 2022: 7462-7469 - [c75]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 - [c74]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 - [c73]Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. AAAI 2022: 9109-9117 - [c72]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 - [c71]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 - [c70]Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. CVPR 2022: 16959-16968 - [c69]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 - [c68]Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu:
Attributed Graph Clustering with Dual Redundancy Reduction. IJCAI 2022: 3015-3021 - [c67]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 - [c66]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 - [c65]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 - [c64]Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu, Yi Wen, En Zhu:
Continual Multi-view Clustering. ACM Multimedia 2022: 3676-3684 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [i38]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) - [i37]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i36]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) - [i35]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) - [i34]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i33]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) - [i32]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) - [i31]Siwei Wang, Xinwang Liu, En Zhu:
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. CoRR abs/2208.01198 (2022) - [i30]Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu:
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR abs/2211.10738 (2022) - [i29]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) - [i28]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) - [i27]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i26]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) - [i25]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
- [j68]Miaomiao Li, Weixuan Liang, Xinwang Liu:
Multi-View Clustering With Learned Bipartite Graph. IEEE Access 9: 87952-87961 (2021) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou:
Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. 51(10): 5156-5169 (2021) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [c59]Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang:
Hierarchical Multiple Kernel Clustering. AAAI 2021: 8671-8679 - [c58]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. AAAI 2021: 9978-9987 - [c57]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang:
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu:
Siamese Attribute-missing Graph Auto-encoder. CoRR abs/2112.04842 (2021) - [i17]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
- [j54]Qiang Wang, Xinwang Liu, Jiaqing Xu:
ℓq-Norm Sample-Adaptive Multiple Kernel Learning. IEEE Access 8: 39428-39438 (2020) - [j53]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [c48]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 - [c47]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 - [c46]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 - [i16]Yilin Kang, Yong Liu, Lizhong Ding, Xinwang Liu, Xinyi Tong, Weiping Wang:
Differentially Private ERM Based on Data Perturbation. CoRR abs/2002.08578 (2020) - [i15]Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. CoRR abs/2005.04975 (2020) - [i14]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i13]Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. CoRR abs/2008.13539 (2020) - [i12]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu:
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. CoRR abs/2009.03671 (2020) - [i11]Jingyuan Xia, Shengxi Li, Jun-Jie Huang, Imad M. Jaimoukha, Xinwang Liu:
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible. CoRR abs/2009.04899 (2020) - [i10]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. CoRR abs/2012.09600 (2020)
2010 – 2019
- 2019
- [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Affine Equivariant Autoencoder. IJCAI 2019: 2413-2419 - [c39]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 - [c38]Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi:
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI 2019: 4482-4488 - [c37]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 - [c36]Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft:
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS 2019: 5960-5973 - [i9]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. CoRR abs/1908.01384 (2019) - [i8]Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin:
Understand Dynamic Regret with Switching Cost for Online Decision Making. CoRR abs/1911.12595 (2019) - 2018
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin:
Financial time series prediction using ℓ2, 1RF-ELM. Neurocomputing 277: 176-186 (2018) - [j27]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) - [j26]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) - [j25]Wentao Zhao, Pan Li, Qiang Liu, Dan Liu, Xinwang Liu:
Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning. KSII Trans. Internet Inf. Syst. 12(12): 5765-5781 (2018) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [c35]Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu:
Reliable Multi-View Clustering. AAAI 2018: 4123-4130 - [c34]Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421 - [c33]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018: 7404-7411 - [c32]Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Embedding for Determining the Number of Clusters. AAAI 2018: 8173-8174 - [c31]Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Jianping Yin:
Variance Reduced K-Means Clustering. AAAI 2018: 8187-8188 - [c30]Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. ACML 2018: 550-565 - [c29]Yongkai Ye, Xinwang Liu, Jianping Yin:
Multi-view Clustering with Noisy Views. CSAI/ICIMT 2018: 339-344 - [c28]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 - [c27]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c26]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 - [c25]Haohao Chen, En Zhu, Xinwang Liu, Junnan Zhang, Jianping Yin:
A Kernel Method with Manifold Regularization for Interactive Segmentation. NCTCS 2018: 141-149 - [i7]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. CoRR abs/1801.01080 (2018) - [i6]Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin:
Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. CoRR abs/1808.06556 (2018) - [i5]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - [i4]Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin:
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit. CoRR abs/1812.10186 (2018) - 2017
- [j19]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) - [j18]Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv:
Multiple kernel clustering with corrupted kernels. Neurocomputing 267: 447-454 (2017) - [j17]Yueqing Wang, Xinwang Liu, Yong Dou, Qi Lv, Yao Lu:
Multiple kernel learning with hybrid kernel alignment maximization. Pattern Recognit. 70: 104-111 (2017) - [c24]Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel k-Means with Incomplete Kernels. AAAI 2017: 2259-2265 - [c23]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 - [c22]Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Deep Clustering with Convolutional Autoencoders. ICONIP (2) 2017: 373-382 - [c21]Xifeng Guo, Long Gao, Xinwang Liu, Jianping Yin:
Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017: 1753-1759 - [c20]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Multiple Kernel Clustering Framework with Improved Kernels. IJCAI 2017: 2999-3005 - [c19]Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li:
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. IJCAI 2017: 3006-3012 - [i3]Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition. CoRR abs/1711.04047 (2017) - [i2]Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, Kenli Li:
Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. CoRR abs/1712.09848 (2017) - 2016
- [j16]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) - [j15]Yueqing Wang, Yong Dou, Xinwang Liu, Yuanwu Lei:
PR-ELM: Parallel regularized extreme learning machine based on cluster. Neurocomputing 173: 1073-1081 (2016) - [j14]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) - [j13]Qiang Wang, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li:
Multi-view clustering with extreme learning machine. Neurocomputing 214: 483-494 (2016) - [j12]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) - [j11]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) - [j10]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) - [c18]Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu:
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. AAAI 2016: 1888-1894 - [c17]Yule Li, Yong Dou, Xinwang Liu, Teng Li:
Localized region context and object feature fusion for people head detection. ICIP 2016: 594-598 - [c16]Yongkai Ye, Xinwang Liu, Jianping Yin, En Zhu:
Co-regularized kernel k-means for multi-view clustering. ICPR 2016: 1583-1588 - [c15]Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin:
Appearance changes detection during tracking. ICPR 2016: 1821-1826 - [c14]Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu:
Multiple Kernel Clustering with Local Kernel Alignment Maximization. IJCAI 2016: 1704-1710 - [c13]Yang Zhao, Yong Dou, Xinwang Liu, Teng Li:
ELM based multiple kernel k-means with diversity-induced regularization. IJCNN 2016: 2699-2705 - 2015
- [j9]Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin:
Multiple kernel extreme learning machine. Neurocomputing 149: 253-264 (2015) - [j8]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) - [j7]Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang:
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. IEEE Trans. Image Process. 24(1): 273-283 (2015) - [c12]Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang:
Absent Multiple Kernel Learning. AAAI 2015: 2807-2813 - 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) - [c11]Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin:
Sample-Adaptive Multiple Kernel Learning. AAAI 2014: 1975-1981 - [c10]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 - [c9]Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui, Chunxia Zhao:
Multiple Kernel Learning Based Multi-view Spectral Clustering. ICPR 2014: 3774-3779 - [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 - [i1]Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang:
A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. CoRR abs/1409.2104 (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) - 2011
- [c5]Lingqiao Liu, Lei Wang, Xinwang Liu:
In defense of soft-assignment coding. ICCV 2011: 2486-2493
2000 – 2009
- 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
Coauthor Index
[j153] [j148] [j140] [j132] [j131] [j130] [j128] [c111] [c102] [c97] [j113] [j112] [j111] [j103] [j102] [j101] [j100] [j94] [c79] [i54] [i41] [j85] [j82] [j81] [j78] [j73] [j72] [j64] [j58] [j57] [c57] [c55] [c54] [c53] [j47] [c48] [c46] [j42] [j40] [j39] [j38] [j37] [j34] [j33] [c45] [c44] [c42] [c41] [c39] [i9] [j30] [j24] [j23]
[j147] [j145] [j144] [j143] [j141] [j138] [j127] [j125] [j123] [j118] [j116] [c112] [c111] [c109] [c108] [c107] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c96] [i74] [j92] [j91] [j90] [j89] [j88] [c93] [c92] [c91] [c90] [c89] [c85] [c84] [c83] [c82] [c78] [c77] [i69] [i66] [i64] [i61] [i60] [i57] [i55] [i51] [i48] [i47] [i46] [i45] [i44] [i40] [j79] [j76] [j75] [j71] [c76] [c75] [c72] [c66] [c65] [c61] [c60] [i35] [i33] [i32] [i31] [i29] [i28] [i27] [i26] [j67] [j66] [j65] [c59] [c57] [c54] [c52] [c51] [c50] [c49] [i24] [i22] [i21] [i13] [j45] [j44] [j43] [c39] [c37]
[j126] [j117] [j110] [j99] [j89] [j83] [j60] [j58] [i23] [i20] [i19] [j52] [j51] [j50] [j49] [j48] [j46] [c47] [j44] [j41] [j37] [j36] [j35] [c45] [c43] [c40] [c39] [c37] [c36] [i9] [i8] [j32] [j31] [j28] [j27] [j26] [j22] [j21] [c32] [c31] [c30] [c29] [c26] [c25] [i6] [i4] [j19] [c24] [c23] [c22] [c21] [j16] [j14] [j10] [c18] [c16] [c15] [c14] [j9] [j8] [c12] [j6] [c11] [c8] [c7] [c6] [j5] [j3] [j2] [j1] [c4] [c3] [c2]
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[j148] [j145] [j143] [j139] [j138] [j137] [j132] [j126] [j125] [j124] [j123] [j120] [c111] [c109] [c108] [c106] [c105] [c100] [c99] [c98] [c96] [c95] [i74] [i72] [i71] [j113] [j112] [j110] [j99] [j98] [j95] [j94] [j89] [j88] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c85] [c84] [c82] [i69] [i66] [i65] [i64] [i58] [i55] [i48] [i47] [i46] [i42] [j86] [j85] [j83] [j82] [j79] [j78] [j75] [j74] [j72] [j71] [c76] [c74] [c73] [c72] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [i38] [i35] [i34] [i33] [i32] [i31] [i27] [j66] [j65] [j64] [j60] [j58] [c58] [c55] [c54] [c53] [c52] [c50] [c49] [i24] [i23] [i21] [i20] [i19] [i17] [j52] [j51] [j50] [j49] [j48] [j46] [c48] [c47] [c46] [i15] [i13] [i10] [j45] [j44] [j43] [j41] [j36] [j35] [c45] [c43] [c40] [c39] [c37] [c36] [i9] [i8] [j32] [j27] [j26] [c32] [c31] [c30] [c26] [c25] [i6] [i4] [c24] [c23] [c22] [c18] [c16] [c15] [c14] [j2] [c4] [c2] [c1]
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