Siwei Wang

According to our database, Siwei Wang authored at least 101 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph.

Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection.

Jingtao Hu, Bin Xiao, Hu Jin, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness.

Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data.

Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., December, 2024

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching.

Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning.

Shengju Yu, Pei Zhang, Siwei Wang, Zhibin Dong, Hengfu Yang, En Zhu, Xinwang Liu

IEEE Trans. Cybern., November, 2024

Simple Contrastive Graph Clustering.

Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery.

Huimin Ma, Siwei Wang, Junpu Zhang, Shengju Yu, Suyuan Liu, Xinwang Liu, Kunlun He

IEEE Trans. Circuits Syst. Video Technol., September, 2024

High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering.

Dayu Hu, Zhibin Dong, Ke Liang, Hao Yu, Siwei Wang, Xinwang Liu

IEEE Trans. Fuzzy Syst., August, 2024

Fast Incomplete Multi-View Clustering With View-Independent Anchors.

Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

How to Construct Corresponding Anchors for Incomplete Multiview Clustering.

Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Local Sample-Weighted Multiple Kernel Clustering With Consensus Discriminative Graph.

Liang Li, Siwei Wang, Xinwang Liu, En Zhu, Li Shen, Kenli Li, Keqin Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph.

Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Scalable and Structural Multi-View Graph Clustering With Adaptive Anchor Fusion.

Siwei Wang, Xinwang Liu, Suyuan Liu, Wenxuan Tu, En Zhu

IEEE Trans. Image Process., 2024

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information.

Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu

Neural Networks, 2024

Anchor-based multi-view subspace clustering with hierarchical feature descent.

Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu

Inf. Fusion, 2024

Test-Time Training on Graphs with Large Language Models (LLMs).

Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GraphLearner: Graph Node Clustering with Fully Learnable Augmentation.

Xihong Yang, Erxue Min, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

View Gap Matters: Cross-view Topology and Information Decoupling for Multi-view Clustering.

Fangdi Wang, Jiaqi Jin, Zhibin Dong, Xihong Yang, Yu Feng, Xinwang Liu, Xinzhong Zhu, Siwei Wang, Tianrui Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Automatic and Aligned Anchor Learning Strategy for Multi-View Clustering.

Huimin Ma, Siwei Wang, Shengju Yu, Suyuan Liu, Junjie Huang, Huijun Wu, Xinwang Liu, En Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation.

Dayu Hu, Suyuan Liu, Jun Wang, Junpu Zhang, Siwei Wang, Xingchen Hu, Xinzhong Zhu, Chang Tang, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unsupervised Graph Anomaly Detection on Directed Attribute Network.

Haoyang Li, Siwei Wang, Xinwang Liu, Xinbiao Gan

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering.

Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering.

Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Non-parametric Graph Clustering Framework for Multi-View Data.

Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering.

Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.

Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-View Bipartite Graph Clustering With Coupled Noisy Feature Filter.

Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, Keqin Li

IEEE Trans. Knowl. Data Eng., December, 2023

Multi-View Fuzzy Classification With Subspace Clustering and Information Granules.

Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang

IEEE Trans. Knowl. Data Eng., November, 2023

Graph Clustering with High-Order Contrastive Learning.

Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Entropy, October, 2023

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.

Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization.

Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen

IEEE Trans. Multim., 2023

Deep graph clustering with multi-level subspace fusion.

Wang Li, Siwei Wang, Xifeng Guo, En Zhu

Pattern Recognit., 2023

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters.

Dayu Hu, Zhibin Dong, Ke Liang, Jun Wang, Siwei Wang, Xinwang Liu

CoRR, 2023

One-step Multi-view Clustering with Diverse Representation.

Xinhang Wan, Jiyuan Liu, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, Li Shen, En Zhu

CoRR, 2023

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering.

Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

Deep Temporal Graph Clustering.

Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu

CoRR, 2023

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.

Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DealMVC: Dual Contrastive Calibration for Multi-view Clustering.

Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Scalable Incomplete Multi-View Clustering with Structure Alignment.

Yi Wen, Siwei Wang, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu, Suyuan Liu, Jiyuan Liu, En Zhu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation.

Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning.

Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering.

Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment.

Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Iterative Encode-and-Decode Graph Neural Network.

Linxuan Song, Siwei Wang, Sihang Zhou, En Zhu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Attributed Graph Subspace Clustering with Graph-Boosting.

Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Proceedings of the Asian Conference on Machine Learning, 2023

Cluster-Guided Contrastive Graph Clustering Network.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data.

Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View.

Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Projective Multiple Kernel Subspace Clustering.

Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu

IEEE Trans. Multim., 2022

Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels.

Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang

IEEE Trans. Knowl. Data Eng., 2022

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.

Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu

IEEE Trans. Knowl. Data Eng., 2022

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance.

Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu

IEEE Trans. Image Process., 2022

Auxiliary Graph for Attribute Graph Clustering.

Wang Li, Siwei Wang, Xifeng Guo, Zhenyu Zhou, En Zhu

Entropy, 2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

Contrastive Deep Graph Clustering with Learnable Augmentation.

Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

GADMSL: Graph Anomaly Detection on Attributed Networks via Multi-scale Substructure Learning.

Jingcan Duan, Siwei Wang, Xinwang Liu, Haifang Zhou, Jingtao Hu, Hu Jin

CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.

Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu

CoRR, 2022

Late Fusion Multi-view Clustering via Global and Local Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu

CoRR, 2022

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences.

Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel.

Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-object Tracking with a Hierarchical Single-Branch Network.

Fan Wang, Lei Luo, En Zhu, Siwei Wang

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Multiple Kernel Clustering with Dual Noise Minimization.

Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Sample Weighted Multiple Kernel K-means via Min-Max optimization.

Yi Zhang, Weixuan Liang, Xinwang Liu, Sisi Dai, Siwei Wang, Liyang Xu, En Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph.

Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.

Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Robust Graph-Based Multi-View Clustering.

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Gaussian Mixture Model Clustering with Incomplete Data.

Yi Zhang, Miaomiao Li, Siwei Wang, Sisi Dai, Lei Luo, En Zhu, Huiying Xu, Xinzhong Zhu, Chaoyun Yao, Haoran Zhou

ACM Trans. Multim. Comput. Commun. Appl., 2021

Multiple kernel clustering with late fusion consensus local graph preserving.

Yujing Zhang, Siwei Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Partial multiview clustering with locality graph regularization.

Huiqiang Lian, Huiying Xu, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu

Int. J. Intell. Syst., 2021

Improved autoencoder for unsupervised anomaly detection.

Zhen Cheng, Siwei Wang, Pei Zhang, Siqi Wang, Xinwang Liu, En Zhu

Int. J. Intell. Syst., 2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.

Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan

CoRR, 2021

Deep Distribution-preserving Incomplete Clustering with Optimal Transport.

Mingjie Luo, Siwei Wang, Xinwang Liu, Wenxuan Tu, Yi Zhang, Xifeng Guo, Sihang Zhou, En Zhu

CoRR, 2021

Multi-object Tracking with a Hierarchical Single-branch Network.

Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long

CoRR, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One-Stage Incomplete Multi-view Clustering via Late Fusion.

Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scalable Multi-view Subspace Clustering with Unified Anchors.

Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Representation Subspace Clustering for Incomplete Multi-view Data.

Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang, Yuexiang Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One Pass Late Fusion Multi-view Clustering.

Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Localized Simple Multiple Kernel K-means.

Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unified and View-Specific Multiple Kernel K-Means Clustering.

Yujing Zhang, Siwei Wang, En Zhu

Proceedings of the Database and Expert Systems Applications, 2021

Hierarchical Multiple Kernel Clustering.

Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adaptive Weighted Graph Fusion Incomplete Multi-View Subspace Clustering.

Pei Zhang, Siwei Wang, Jingtao Hu, Zhen Cheng, Xifeng Guo, En Zhu, Zhiping Cai

Sensors, 2020

Anchor-Based Multiview Subspace Clustering With Diversity Regularization.

Qiyuan Ou, Siwei Wang, Sihang Zhou, Miaomiao Li, Xifeng Guo, En Zhu

IEEE Multim., 2020

CBNet: A Novel Composite Backbone Network Architecture for Object Detection.

Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

K-Means Clustering With Incomplete Data.

Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin

IEEE Access, 2019

Magnetic Anomaly Detection Based on Full Connected Neural Network.

Shuchang Liu, Jiafei Hu, Peisen Li, Chengbiao Wan, Zhuo Chen, Mengchun Pan, Qi Zhang, Zhongyan Liu, Siwei Wang, Dixiang Chen, Jingtao Hu, Xue Pan

IEEE Access, 2019

Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization.

Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang, Xinwang Liu, Yongping Zhai

IEEE Access, 2019

Two-stage Unsupervised Video Anomaly Detection using Low-rank based Unsupervised One-class Learning with Ridge Regression.

Jingtao Hu, En Zhu, Siqi Wang, Siwei Wang, Xinwang Liu, Jianping Yin

Proceedings of the International Joint Conference on Neural Networks, 2019

Multi-view Clustering via Late Fusion Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.

Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018