Publications
2019
- Xinwang Liu, Lei Wang, Jianping Yin and Yong Dou: Absent Multiple Kernel Learning Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Accepted Jan. 2019)
- Xinwang Liu, Miaomiao Li, Lei Wang, Jian Zhang, En Zhu, Jianping Yin and Wen Gao: Multiple Kernel k-means with Incomplete Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Accepted Jan. 2019)
- Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang and Wen Gao: Late Fusion Incomplete Multi-view Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. (Accepted Oct. 2018)
- Chang Tang, Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Pichao Wang, Changqing Zhang and Lizhe Wang: Learning Joint Affinity Graph for Multi-view Subspace Clustering. IEEE Transactions on Multimedia. (Accepted Nov. 2018)
- Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao: Efficient and Effective Incomplete Multi-view Clustering. AAAI 2019.
- Chang Tang, Xinwang Liu, Xinzhong Zhu, Lizhe Wang: Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. AAAI 2019.
- 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.
- Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Zomaya: DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features. IEEE CVPR 2019. (CCF Rank A)
- Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, and Lizhe Wang: Adaptive Hypergraph Embedded Semi-supervised Multilabel Image Annotation. IEEE Transactions on Multimedia. (Accepted March 2019)
- Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, and Lizhe Wang: Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Transactions on Knowledge and Data Engineering. (Accepted April 2019)
- Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, and Jianping Yin: Adaptive Self-paced Deep Clustering with Data Augmentation. IEEE Transactions on Knowledge and Data Engineering. (Accepted April 2019)
- Xifeng Guo, Xinwang Liu, En Zhu and Jianping Yin: Affine Equivariant Autoencoder. IJCAI 2019. (Accepted May 2019)
- Siwei Wang, Xinwang Liu, Chang Tang, Jiyuan Liu, En Zhu, Jianping Yin, Jiangtao Hu and Jingyuan Xia: Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019. (Accepted May 2019)
- Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao and Dongyun Yi: Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI 2019. (Accepted May 2019)
- Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, and Jianping Yin: Multiple Kernel Clustering with Neighbor-Kernel Subspace Segmentation. IEEE Transactions on Neural Networks and Learning Systems. (Accepted May 2019)
- Sihang Zhou, En Zhu, Xinwang Liu, Tianming Zheng, Qiang Liu, Jingyuan Xia, and Jianping Yin: Subspace Segmentation-based Robust Multiple Kernel Clustering. Information Fusion. (Accepted June 2019)
- Yawei Zhao, En Zhu, Xinwang Liu, Deke Guo, Xinzhong Zhu, and Jianping Yin: Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Transactions on Knowledge and Data Engineering. (Accepted June 2019)
- Chang Tang, Meiru Bian, Xinwang Liu, MiaomiaoLi, Hua Zhou, Pichao Wang, and Hailin Yin: Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) (CCF Rank B)
- Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, and Jiajia Chen: Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing 331: 77-96 (2019) (CCF Rank C)
- Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, and Xinwang Liu: Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access 7: 61109-61120 (2019)
2018
- 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. Information Forensics and Security 13(11): 2801-2815 (2018). (CCF Rank A)
- 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. (CCF Rank A)
- Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu: FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060. (CCF Rank A)
- Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, and Xinwang Liu: Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018. (CCF Rank A)
- Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xiaobo Wang, and Xinwang Liu: Latent Semantic Aware Multi-view Multi-label Classification. AAAI 2018. (CCF Rank A)
- Hong Tao, Chenping Hou, Xinwang Liu, Dongyun Yi and Jubo Zhu: Reliable Multi-View Clustering. AAAI 2018. (CCF Rank A)
- Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu: DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. ECCV (2) 2018: 629645. (CCF Rank B)
- 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). (CCF Rank C)
- 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). (CCF Rank C)
- Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu, Jianping Yin: Financial time series prediction using `2,1RF-ELM. Neurocomputing 277: 176-186 (2018). (CCF Rank C)
- Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin: Large-scale k-means clustering via variance reduction. Neurocomputing: 184-194 (2018). (CCF Rank C)
- 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). (CCF Rank C)
- 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). (CCF Rank C)
- 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). (CCF Rank C)
- 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). (CCF Rank C)
- 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). (CCF Rank C)
- 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. (Accepted Aug 2018)
2017
- Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin and En Zhu: Multiple Kernel k-means with Incomplete Kernels. AAAI 2017. (CCF Rank A)
- Xinwang Liu, Sihang Zhou, Yueqing Wang, Yong Dou, Jianping Yin and En Zhu: Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017. (CCF Rank A)
- Yueqing Wang, Xinwang Liu, Yong Dou: Multiple Kernel Clustering Framework with Improved Kernels. IJCAI 2017. (CCF Rank A)
- Yueqing Wang, Xinwang Liu, Yong Dou: Approximate Large-scale Multiple Kernel k-means using Deep Neuron Network. IJCAI 2017. (CCF Rank A)
- Xifeng Guo, Long Gao, Xinwang Liu and Jianping Yin: Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017. (CCF Rank A)
- Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng: Fast Compressive Spectral Clustering. ICDM 2017: 949-954. (CCF Rank B)
- Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin: Deep Clustering with Convolutional Autoencoders. ICONIP (2) 2017: 373-382. (CCF Rank C)
- Yueqing Wang, Xinwang Liu, Yong Dou: Multiple Kernel Learning with Hybrid Kernel Alignment Maximization. Pattern Recognition 70 (2017) 104-111. (CCF Rank B)
- Teng Li, Yong Dou, Xinwang Liu, Yang Zhao, Qi Lv: Multiple kernel clustering with corrupted kernels. Neurocomputing 267 (2017): 447-454. (CCF Rank C)
- Yongkai Ye, Xinwang Liu, Qiang Liu, Jianping Yin: Consensus Kernel K-Means Clustering for Incomplete Multiview Data. Comp. Int. and Neurosc. 2017: 3961718:1-3961718:11 (2017)
2016
- Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou and Jianping Yin: Multi-view Clustering via Maximizing Local Kernel Alignment. International Joint Conference on Artificial Intelligence 2016: (1704-1710), July 9-16, 2016, New York, USA (CCF Rank A)
- Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu: Multiple Kernel k-means Clustering with Matrix-induced Regularization. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence: (1888-1894), February 12-17, 2016, Phoenix, Arizona, USA (CCF Rank A)
- Yang Zhao, Yong Dou, Xinwang Liu, Teng Li: ELM based multiple kernel k-means with diversity-induced regularization. International Joint Conference on Neural Networks: (2699-2705), July 24-29, 2016, Vancouver, BC, Canada.(CCF Rank C)
- Yongkai Ye, Xinwang Liu, En Zhu, Jianping Yin: Co-Regularized Kernel K-Means for Multi-View Clustering. International Conference on Pattern Recognition: Dec 4-8, 2016, Cancun, Mexico. (CCF Rank C)
- Wei Chen, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin: Appearance Changes Detection During Tracking. International Conference on Pattern Recognition: Dec 4-8, 2016, Cancun, Mexico. (CCF Rank C)
- Yule Li, Yong Dou, Xinwang Liu, Teng Li: Localized region context and object feature fusion for people head detection. ICIP 2016: 594-598. (CCF Rank C)
- Peidai Xie, Xinwang Liu, Jianping Yin, Yongjun Wang: Absent extreme learning machine algorithm with application to packed executable identification. Neural Computing and Application 27(1): 93-100 (2016). (CCF Rank C)
- 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) (CCF Rank C).
- Yueqing Wang, Yong Dou, Xinwang Liu, Yuanwu Lei: PR-ELM: Parallel regularized extreme learning machine based on cluster. Neurocomputing 173: 1073-1081 (2016) (CCF Rank C).
- Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin: Random Fourier Extreme Learning Machine with l21-norm Regularization. Neurocomputing 174: 143-153 (2016) (CCF Rank C)
- Qiang Wang, Yong Dou, Xinwang Liu, Qi Lv, Shijie Li: Multi-view clustering with extreme learning machine. Neurocomputing 214: 483-494 (2016) (CCF Rank C)
- 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) (CCF Rank C)
- Teng Li, Yong Dou, Xinwang Liu: Joint diversity and graph regularization for multiple kernel k-means clustering via latent variables. Neurocomputing 218: 154-163 (2016). (CCF Rank C)
2015
- Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang: Absent Multiple Kernel Learning. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence: (2807-2813), January 25-30, 2015, Austin, Texas, USA (CCF Rank A)
- Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin and Dinggang Shen: An Efficient Radius-incorporated MKL Algorithm for Alzheimer’s Disease Prediction. Pattern Recognition 48(7): 2141-2150 (2015) (CCF Rank B)
- Xinwang Liu, Lei Wang, Guang-Bin Huang, Jian Zhang, Jianping Yin: Multiple kernel extreme learning machine. Neurocomputing 149: 253-264 (2015) (CCF Rank C)
- 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 24(1): 273-283 (2015) (CCF Rank A)
- Chengzhang Zhu, Xinwang Liu, Qiang Liu, Yuewei Ming, Jianping Yin: Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach. Mathematical Problems in Engineering
- Hang Gao, Xinwang Liu, Yuxing Peng: Sample-based Extreme Learning Machine with Absent Data. Mathematical Problems in Engineering .
2014
- 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 25(6): 1083-1095 (2014) (CCF Rank B)
- Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin: Sample-Adaptive Multiple Kernel Learning. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence: (1975-1981), July 27-31, 2014, Qu´ebec City, Qu´ebec, Canada (CCF Rank A)
- Xinwang Liu, Jianping Yin, Jun Long: On Radius-Incorporated Multiple Kernel Learning. Proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence: (227-240), October 29-31, 2014, Tokyo, Japan.
- Shangrong Huang, Jian Zhang, Xinwang Liu, Lei Wang: A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection. 22nd International Conference on Pattern Recognition: (16151620), August 24-28, 2014, Stockholm, Sweden. (CCF Rank C)
- Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui, Chunxia Zhao: Multiple Kernel Learning Based Multi-View Spectral Clustering. 22nd International Conference on Pattern Recognition: (3774-3779), August 24-28, 2014, Stockholm, Sweden. (CCF Rank C)
- Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin: Spectral clustering-based local and global structure preservation for feature selection. International Joint Conference on Neural Networks: (550-557), July 6-11, 2014, Beijing, China. (CCF Rank C)
- Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin: A binary feature selection framework in kernel spaces. International Joint Conference on Neural Networks: (4190-4197), July 6-11, 2014, Beijing, China. (CCF Rank C)
2013
- 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 43(1): 371-384 (2013) (CCF Rank B)
- 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 43(2): 557-569 (2013) (CCF Rank B)
- Yubin Zhan, Jianping Yin, Xinwang Liu: Nonlinear discriminant clustering based on spectral regularization. Neural Computing and Applications 22(7-8): 1599-1608 (2013) (CCF Rank C)
- Bo Liu, Bin Fang, Xinwang Liu, Jie Chen, Zhenghong Huang, Xiping He: Large Margin Subspace Learning for feature selection. Pattern Recognition 46(10): 27982806 (2013) (CCF Rank B)
2012
- Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu: Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing 89: 30-38 (2012) (CCF Rank C）
2011
- Yubin Zhan, Jianping Yin, Xinwang Liu: A Convergent Solution to Matrix Bidirectional Projection Based Feature Extraction with Application to Face Recognition. International Journal of Computational Intelligence Systems 4(5): 863-873 (2011)
- Lingqiao Liu, Lei Wang, Xinwang Liu: In defense of soft-assignment coding. IEEE International Conference on Computer Vision: (2486-2493), November 6-13, 2011, Barcelona, Spain. (CCF Rank A)