Xinwang Liu

Xinwang Liu

Professor
Doctoral Supervisor

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Xinwang Liu Xinwang Liu

Selected Journal Papers:

2024

  1. [TNNLS] Zhenyu Zhou, Lei Luo, Tianrui Liu, Qing Liao, Xinwang Liu, En Zhu: Category Alignment Mechanism for Few-Shot Image Classification.. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in April 2024) (CCF Rank B)

  2. [TKDE] Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz: Application of Gradient Boosting in the Design of Fuzzy Rule-based Regression Models. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in April 2024) (CCF Rank A)

  3. [TCAD] Yidan Sun, Guiyuan Jiang, Xinwang Liu, Peilan He, Siew-Kei Lam: Layer Sequence Extraction of Optimized DNNs using Side-channel Information Leaks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF Rank A) (Accepted in April 2024)

  4. [TPAMI] 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in April 2024)

  5. [TNNLS] Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He: Self-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment.. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in April 2024) (CCF Rank B)

  6. [TIP] Xinhang Wan, Bin Xiao, Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu: Fast Continual Multi-View Clustering with Incomplete Views. IEEE Transactions on Image Processing (TIP). (Accepted in March 2024) (CCF Rank A)

  7. [TNNLS] Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu: One-step Multi-view Clustering with Diverse Representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in March 2024) (CCF Rank B)

  8. [TKDE] Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, and Keqin Li: BGAE: Auto-encoding Multi-view Bipartite Graph Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in January 2024) (CCF Rank A)

  9. [TKDE] Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu: Robust and Consistent Anchor Graph Learning for Multi-view Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in January 2024) (CCF Rank A)

  10. [TNNLS] Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li: SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in January 2024) (CCF Rank B)

  11. [TNNLS] Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Bin Xiao, Siwei Wang, Xinwang Liu, En Zhu: Subgraph Propagation and Contrastive Calibration for Incomplete Multi-view Data Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in January 2024) (CCF Rank B)

2023

  1. [TNNLS] Wenxuan Tu, Bin Xiao, Xinwang Liu, Sihang Zhou, Zhiping Cai, Jieren Cheng: Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in December 2023) (CCF Rank B)

  2. [TKDE] Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu, Xinzhong Zhu: Fast Approximated Multiple Kernel K-means. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in December 2023)

  3. [TFS] Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu: An Efficient Federated Multi-view Fuzzy C-Means Clustering Method. IEEE Transactions on Fuzzy Systems (TFS). (CCF Rank B) (Accepted in November 2023)

  4. [TKDE] Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He: RARE: Robust Masked Graph Autoencoder. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in November 2023)

  5. [TNNLS] Shengju Yu, Suyuan Liu, Siwei Wang, Chang Tang, Zhigang Luo, Xinwang Liu: Sparse Low-rank Multi-view Subspace Clustering with Consensus Anchors and Unified Bipartite Graph. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in November 2023) (CCF Rank B)

  6. [TNNLS] Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxin Fang, Qing Liao: MG-SIN: Multi-Graph Sparse Interaction Network for Multi-Task Stance Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in October 2023) (CCF Rank B)

  7. [TNNLS] Zhiqiang Pan, Fei Cai, Xinwang Liu, Honghui Chen: Distance-aware Learning for Inductive Link Prediction on Temporal Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in October 2023) (CCF Rank B)

  8. [TKDE] Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen: Partial Clustering Ensemble. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in October 2023)

  9. [TGARS] Chang Tang, Jun Wang, Xinwang Liu, Weiying Xie, Xianju Li, Wei Zhang, Xinzhong Zhu: Spatial and Spectral Structure Preserved Self-representation for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing (TGARS). (CCF Rank B) (Accepted in October 2023)

  10. [TNNLS] Jingtao Hu, Bin Xiao, Jingcan Duan, Siwei Wang, Zhao Lv, Siqi Wang, Xinwang Liu, En Zhu: SAMCL: Subgraph-Aligned Multi-View Contrastive learning for Graph Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in September 2023)

  11. [TNNLS] Jiayi Tang, Yuping Lai, Xinwang Liu: Multi-view Spectral Clustering based on Consensus Neighbor Strategy. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in September 2023)

  12. [TCSVT] Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, and Xinwang Liu: How to Construct Corresponding Anchors for Incomplete Multiview Clustering. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). (Accepted in September 2023) (CCF Rank B)

  13. [TNNLS] Jingcan Duan, Bin Xiao, Siwei Wang, Haifang Zhou, and Xinwang Liu: ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in August 2023)

  14. [TGARS] Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu: Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. IEEE Transactions on Geoscience and Remote Sensing (TGARS). (CCF Rank B) (Accepted in August 2023)

  15. [TNNLS] Zhibin Dong, Jiaqi Jin, Yuyang Xiao, Siwei Wang, Xinzhong Zhu, Xinwang Liu, and En Zhu: Iterative Deep Structural Graph Contrast Clustering for Multi-view Raw Data. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in August 2023)

  16. [TIP] Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu: Improving Embedding Generalization in Few-Shot Learning with Instance Neighbor Constraints. IEEE Transactions on Image Processing (TIP). (Accepted in August 2023) (CCF Rank A)

  17. [TIFS] Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, En Zhu, and Jianping Yin: Video Anomaly Detection via Visual Cloze Tests. IEEE Transactions on Information Forensics & Security (TIFS). (CCF Rank A) (Accepted in July 2023)

  18. [TNNLS] Wenxuan Tu, Sihang Zhou, Xinwang Liu, Chunpeng Ge, Zhiping Cai, and Yue Liu: Hierarchically Contrastive Hard Sample Mining for Graph Self-supervised Pre-training. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in July 2023)

  19. [TNNLS] Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, and Xinwang Liu: Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in June 2023)

  20. [TNNLS] Miaomiao Li, Qing Liao, Yi Zhang, Chuan Ma, Zhe Liu, Suyuan Liu, Jianping Yin, and Xinwang Liu: Regularized Simple Multiple Kernel K-means with Kernel Average Alignment. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in June 2023)

  21. [TKDE] Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong and Xinwang Liu: Knowledge Graph Contrastive Learning based on Relation-Symmetrical Structure. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in June 2023)

  22. [TNNLS] Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Siwei Wang, Ke Liang, Wenxuan Tu, Liang Li: Simple Contrastive Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in April 2023)

  23. [TKDE] Liang Li, Junpu Zhang, Siwei Wang, Xinwang Liu, Kenli Li, and Keqin Li: Multi-view Bipartite Graph Clustering with Coupled Noisy Feature Filter. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in April 2023)

  24. [TPAMI] Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, and Yilong Yin: Missingness-pattern-adaptive Learning with Incomplete Data. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in March 2023)

  25. [TPAMI] Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia: Contrastive Multi-view Kernel Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in March 2023) [Code]

  26. [TNNLS] Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li: Active Clustering Ensemble with Self-paced Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in March 2023)

  27. [TNNLS] Zhenyu Zhou, Lei Luo, Sihang Zhou, Wang Li, Xihong Yang, Xinwang Liu, En Zhu: Task-Related Saliency for Few-Shot Image Classification. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in February 2023)

  28. [TKDE] Yu Hu, Endai Guo, Xinwang Liu, and Hongmin Cai: Robust Multi-view Clustering through Partition Integration on Stiefel Manifold. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in February 2023)

2022

  1. [TGARS] Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Zomaya: Lightweight Remote Sensing Change Detection with Progressive Feature Aggregation and Supervised Attention. IEEE Transactions on Geoscience and Remote Sensing (TGARS). (CCF Rank B) (Accepted in December 2022)

  2. [TPAMI] Xinwang Liu: Hyperparameter-Free Localized Simple Multiple Kernel K-means with Global Optimum. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in December 2022)

  3. [TNNLS] Miaomiao Li, Xinwang Liu, Yi Zhang, and Weixuan Liang: Late Fusion Multi-view Clustering via Min-Max Optimization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in December 2022)

  4. [TKDE] Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinhua Shen, Yan Li and Siwei Wang: Multi-view Fuzzy Classification with Subspace Clustering and Information Granules. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in December 2022)

  5. [TNNLS] Suyuan Liu, Xinwang Liu, Siwei Wang, Xin Niu, En Zhu: Fast Incomplete Multi-view Clustering with View-independent Anchors. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B) (Accepted in November 2022)

  6. [TNNLS] Lei Gong, Wenxuan Tu, Sihang Zhou, Long Zhao, Zhe Liu, Xinwang Liu: Deep Fusion Clustering Network with Reliable Structure Preservation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B) (Accepted in November 2022)

  7. [MIA] 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 Analysis (MIA). (Accepted in September 2022)[PDF]

  8. [TPAMI] Xinwang Liu: SimpleMKKM: Simple Multiple Kernel K-means. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in August 2022) [PDF] [Code] [Supplement]

  9. [TPAMI] Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao: E3Outlier: A Self-supervised Framework for Unsupervised Deep Outlier Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in July 2022) (CCF Rank A) [PDF]

  10. [TNNLS] Xihong Yang, Xiaochang Hu, Sihang Zhou, Xinwang Liu, En Zhu: Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B) (Accepted in June 2022)[PDF]

  11. [TCYB] Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Zomaya: Region-aware Hierarchical Latent Feature Representation Learning Guided Clustering for Hyperspectral Band Selection. IEEE Transactions on Cybernetics (TCYB). (CCF Rank B) (Accepted in June 2022)

  12. [TNNLS] 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 Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B) (Accepted in June 2022)[PDF]

  13. [TNNLS] Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin, Wenjing Yang: Multi-view Deep Anomaly Detection: A Systematic Exploration. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B) (Accepted in June 2022)[PDF]

  14. [TKDE] Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu: Unified One-step Multi-view Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in May 2022)

  15. [TNNLS] Miaomiao Li, Siwei Wang, Xinwang Liu, Suyuan Liu: Parameter-Free and Scalable Incomplete Multi-view Clustering with Prototype Graph. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) . (CCF Rank B) (Accepted in April 2022)

  16. [TKDE] Tuanfei Zhu, Xinwang Liu, En Zhu: Oversampling with Reliably Expanding Minority Class Regions for Imbalanced Data Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in April 2022) (CCF Rank A) [PDF]

  17. [TIP] Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu: High-order Correlation Preserved Incomplete Multi-view Subspace Clustering. IEEE Transactions on Image Processing (TIP). (Accepted in Jan. 2022) (CCF Rank A)

2021

  1. [TNNLS] 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 Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in Dec. 2021)

  2. [TMM] Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen: Late Fusion Multiple Kernel Clustering with Local Kernel Alignment Maximization. IEEE Transactions on Multimedia (TMM). (Accepted in Dec. 2021)[PDF] [Code]

  3. [TIP] 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 Transactions on Image Processing (TIP). (Accepted in Nov. 2021) (CCF Rank A) [PDF]

  4. [TCYB] Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu: Localized Incomplete Multiple Kernel k-means with Matrix-induced Regularization. IEEE Transactions on Cybernetics (TCYB). (Accepted in Nov. 2021) [PDF]

  5. [TPAMI] Xinwang Liu: Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in Sep. 2021) (CCF Rank A) [PDF] [Code]

  6. [TNNLS] Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu: Late Fusion Multiple Kernel Clustering with Proxy Graph Refinement. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in Sep. 2021) [PDF][Code]

  7. [TKDE] 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 Transactions on Knowledge and Data Engineering (TKDE). (Accepted in August 2021) (CCF Rank A)

  8. [TNNLS] Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siq Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu: Multiple Kernel Clustering with Compressed Subspace Alignment. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in June 2021) [PDF]

  9. [TPAMI] 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. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in June 2021) (CCF Rank A)

  10. [TMM] Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou, En Zhu: Projective Multiple Kernel Subspace Clustering. IEEE Transactions on Multimedia (TMM). (Accepted in May 2021) [PDF] [Code]

  11. [TNNLS] Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He: Multi-view Subspace Clustering via Co-training Robust Data Representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in Mar 2021) [PDF] [Code]

  12. [TMM] Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu: Consensus Graph Learning for Multi-view Clustering. IEEE Transactions on Multimedia (TMM). (Accepted in Mar 2021) [PDF]

  13. [TKDE] Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin: Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE) 33(1): 259-270 (2021) (CCF Rank A) [PDF]

  14. [TNNLS] Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li: Self-paced Clustering Ensemble. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 32(4): 1497-1511 (2021) (CCF Rank B) [PDF]

  15. [TMM] Chang Tang, Xinwang Liu, An Shan, Pichao Wang: BNet: Defocus Blur Detection via Bi-directional Channel Attention Residual Refining Network. IEEE Transactions on Multimedia (TMM) 23: 624-635 (2021) (CCF Rank B)

  16. [TCYB] Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou: Fragmentary Multi-Instance Classification. IEEE Transactions on Cybernetics (TCYB) 51(10): 5156-5169 (2021) (CCF Rank B) [PDF]

2020

  1. [TKDE] Chang Tang, Xiao Zheng, Xinwang Liu, Jing Zhang, Jian Xiong, Lizhe Wang: Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Dec 2020) (CCF Rank A) [PDF]

  2. [TKDE] Pei Zhang, Xinwang Liu, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai: Consensus One-step Multi-view Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Dec 2020) (CCF Rank A) [PDF] [Code]

  3. [TKDE] 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 Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Sep 2020) (CCF Rank A) [PDF] [Code]

  4. [TKDE] Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang: Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in July 2020) (CCF Rank A) [PDF] [Code]

  5. [TPAMI] Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Zomaya, Antonella Longo: Defusionnet: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in July 2020) (CCF Rank A) [PDF]

  6. [TPAMI] 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 43(8): 2634-2646 (2021) (CCF Rank A) [PDF] [Code]

  7. [TPAMI] Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin: "Absent Multiple Kernel Learning Algorithms". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(6): 1303-1316 (2020) (CCF Rank A) [PDF] [Code]

  8. [TPAMI] Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao: "Multiple kernel k-means with incomplete kernels". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(5): 1191-1204 (2020) (CCF Rank A) [PDF] [Code]

  9. [TKDE] Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin: Adaptive Self-paced Deep Clustering with Data Augmentation. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1680-1693 (2020) (CCF Rank A) [PDF] [Code]

  10. [TKDE] Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Lizhe Wang: Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1747-1760 (2020) (CCF Rank A) [PDF]

  11. [IJCV] Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen: Deep Learning for Generic Object Detection: A Survey. International Journal of Computer Vision (IJCV) 128(2): 261-318 (2020) (CCF Rank A) [PDF]

  12. [TNNLS] Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin: Multiple Kernel Clustering with Neighbor-Kernel Subspace Segmentation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 31(4): 1351-1362, 2020 (CCF Rank B) [PDF] [Code]

2019

  1. [TPAMI] 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41(10): 2410-2423 (2019) (CCF Rank A) [PDF] [Code]

  2. [TKDE] Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin: Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE) 31(8): 1610-1623 (2019) (CCF Rank A) [PDF] [Bibtex]

  3. [TMM] Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang: Learning a Joint Affinity Graph for Multi-view Subspace Clustering. IEEE Transactions on Multimedia (TMM) 21(7): 1724-1736 (2019) (CCF Rank B) [PDF]

  4. [TMM] Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang: Adaptive Hypergraph Embedded Semi-supervised Multilabel Image Annotation. IEEE Transactions on Multimedia (TMM) 21(11): 2837-2849 (2019) (CCF Rank B) [PDF]

2018

  1. [TIFS] 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 Transactions Information Forensics and Security (TIFS) 13(11): 2801-2815 (2018). (CCF Rank A) [PDF]

2015

  1. [TIP] Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang: A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. IEEE Transactions on Image Processing (TIP) 24(1): 273-283 (2015) (CCF Rank A) [PDF]

2014

  1. [TNNLS] Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu: Global and Local Structure Preservation for Feature Selection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 25(6): 1083-1095 (2014) (CCF Rank B) [PDF] [Code]

2013

  1. [TCYB] Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang: An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Transactions on Cybernetics (TCYB). 43(1): 371-384 (2013) (CCF Rank B) [PDF]

  2. [TCYB] Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang: An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. IEEE Transactions on Cybernetics (TCYB). 43(2): 557-569 (2013) (CCF Rank B) [PDF] [Code]

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