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2020 – today
- 2020
[j13]Hao Zheng, Ruili Wang, Wanting Ji, Ming Zong, Wai Keung Wong, Zhihui Lai, Hexin Lv:
Discriminative deep multi-task learning for facial expression recognition. Inf. Sci. 533: 60-71 (2020)- [j12]Zhirong Tang, Mingzhe Liu, Feixiang Zhao, Shaoda Li, Ming Zong:
Toward a robust and fast real-time point cloud registration with factor analysis and Student's-t mixture model. J. Real Time Image Process. 17(6): 2005-2014 (2020) - [j11]Zhenbing Liu, Zeya Li
, Ruili Wang, Ming Zong, Wanting Ji:
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. Neural Comput. Appl. 32(18): 14593-14602 (2020)
2010 – 2019
- 2019
- [j10]Sheng-Yao Su, Wenbin Yao, Baojun Qiao, Ming Zong, Xin He, Xiaoyong Li:
RRSD: A file replication method for ensuring data reliability and reducing storage consumption in a dynamic Cloud-P2P environment. Future Gener. Comput. Syst. 100: 844-858 (2019) - [j9]Zhe Chen, Ruili Wang, Wanting Ji, Ming Zong, Tanghuai Fan, Huibin Wang:
A novel monocular calibration method for underwater vision measurement. Multim. Tools Appl. 78(14): 19437-19455 (2019) - [c8]Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian:
Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. ACPR Workshops 2019: 74-84 - [c7]Yipeng Lan, Jie Li, Fengge Zhang, Ming Zong:
Fuzzy Sliding Mode Control of Magnetic Levitation System of Controllable Excitation Linear Synchronous Motor. IAS 2019: 1-7 - [c6]Yipeng Lan, Wenkang Yang, Ming Zong:
Design of Adaptive Neural Network Backstepping Controller for Linear Motor Magnetic Levitation System. IAS 2019: 1-6 - 2018
- [j8]Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng:
Sparse sample self-representation for subspace clustering. Neural Comput. Appl. 29(1): 43-49 (2018) - [j7]Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng:
A novel kNN algorithm with data-driven k parameter computation. Pattern Recognit. Lett. 109: 44-54 (2018) - [j6]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang:
Efficient kNN Classification With Different Numbers of Nearest Neighbors. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1774-1785 (2018) - [j5]Ruili Wang, Ming Zong:
Joint self-representation and subspace learning for unsupervised feature selection. World Wide Web 21(6): 1745-1758 (2018) - 2017
- [j4]Debo Cheng, Shichao Zhang, Xingyi Liu, Ke Sun, Ming Zong:
Feature selection by combining subspace learning with sparse representation. Multim. Syst. 23(3): 285-291 (2017) - [j3]Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng:
Learning k for kNN Classification. ACM Trans. Intell. Syst. Technol. 8(3): 43:1-43:19 (2017) - [c5]Wenying Bao, Wenbin Yao, Ming Zong, Dongbin Wang:
Cross-site Scripting Attacks on Android Hybrid Applications. ICCSP 2017: 56-61 - 2016
- [j2]Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao:
Self-representation nearest neighbor search for classification. Neurocomputing 195: 137-142 (2016) - [j1]Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang:
Efficient kNN classification algorithm for big data. Neurocomputing 195: 143-148 (2016) - [c4]Yin Chen, Wenbin Yao, Ming Zong, Dongbin Wang:
An Effective Buffer Management Policy for Opportunistic Networks. CollaborateCom 2016: 242-251 - 2014
- [c3]Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng:
Efficient kNN Algorithm Based on Graph Sparse Reconstruction. ADMA 2014: 356-369 - [c2]Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong:
kNN Algorithm with Data-Driven k Value. ADMA 2014: 499-512 - [c1]Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng:
Improved Spectral Clustering Algorithm Based on Similarity Measure. ADMA 2014: 641-654
Coauthor Index
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