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2020 – today
- 2024
[j12]Yanshan Xiao, Guitao Pan, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Privileged multi-view one-class support vector machine. Neurocomputing 572: 127186 (2024)- [j11]Yanshan Xiao, Junfeng Chen, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
A new multi-view multi-label model with privileged information learning. Inf. Sci. 656: 119911 (2024) - [j10]Yanshan Xiao
, Jianwei Zhang, Bo Liu, Liang Zhao, Xiangjun Kong, Zhifeng Hao:
Multi-View Maximum Margin Clustering With Privileged Information Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2719-2733 (2024) - [j9]Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong:
Ordinal Regression With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11246-11260 (2024) - 2023
- [j8]Yanshan Xiao, Jinneng Liu, Kairun Wen, Bo Liu, Liang Zhao, Xiangjun Kong:
A least squares twin support vector machine method with uncertain data. Appl. Intell. 53(9): 10668-10684 (2023) - [j7]Yanshan Xiao, Zexin Ye, Liang Zhao, Xiangjun Kong, Bo Liu, Kemal Polat, Adi Alhudhaif:
Privileged information learning with weak labels. Appl. Soft Comput. 142: 110298 (2023) - [j6]Tingkai Chen, Ning Wang, Yanzheng Chen, Xiangjun Kong, Yejin Lin, Hong Zhao, Hamid Reza Karimi:
Semantic attention and relative scene depth-guided network for underwater image enhancement. Eng. Appl. Artif. Intell. 123(Part C): 106532 (2023) - [j5]Ning Wang, Tingkai Chen, Xiangjun Kong, Yanzheng Chen, Rongfeng Wang, Yongjun Gong, Shiji Song:
Underwater Attentional Generative Adversarial Networks for Image Enhancement. IEEE Trans. Hum. Mach. Syst. 53(3): 490-500 (2023) - [c9]Jun Li, Yong Zhou, Xin Liu, Jinsong Liu, Qing Li, Xiangjun Kong, Guankai Niu:
Study on the Reference Architecture and Multi-Dimensional Fusion Framework of Production Equipment Models. ICCMS 2023: 172-183 - 2022
- [j4]Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong:
Pinball loss support vector data description for outlier detection. Appl. Intell. 52(14): 16940-16961 (2022) - [j3]Yanshan Xiao, Xi Li, Bo Liu, Liang Zhao, Xiangjun Kong, Adi Alhudhaif, Fayadh Alenezi:
Multi-view support vector ordinal regression with data uncertainty. Inf. Sci. 589: 516-530 (2022) - [j2]Liang Zhao, Yanshan Xiao, Kairun Wen, Bo Liu, Xiangjun Kong:
Multi-task manifold learning for partial label learning. Inf. Sci. 602: 351-365 (2022) - [c8]Tingkai Chen, Ning Wang, Xiangjun Kong, Yanzheng Chen:
Adaptive Channel Attention-Based Deformable Generative Adversarial Network for Underwater Image Enhancement. S-CUBE 2022: 17-32 - [c7]Xiangjun Kong, Ning Wang, Tingkai Chen, Yanzheng Chen:
Coordinate Attention and Transformer Neck-Based Marine Organism Detection. S-CUBE 2022: 33-48 - [c6]Xiangjun Kong, Xuejun Yu:
Formal Representation of Trusted Meta-requirements. SMC 2022: 2080-2084
2010 – 2019
- 2018
- [c5]Bo Chen, Jinbin Zou, Wensheng Chen, Xiangjun Kong, Jianhua Ma, Feng Li:
Speckle Noise Removal Based on Adaptive Total Variation Model. PRCV (1) 2018: 191-202 - 2017
- [c4]Xiaomei Geng, Xiangjun Kong, Qilong Chen, Shibing Su, Yuanjia Hu:
Analysis of miRNA Functional Synergistic Network in Breast Cancer. ICBBS 2017: 22-29 - 2013
- [c3]Bilal Ahmad, Xiangjun Kong, Robert Harrison, Johannes Watermann, Armando Walter Colombo:
Automatic generation of Human Machine Interface screens from component-based reconfigurable virtual manufacturing cell. IECON 2013: 7428-7433 - 2012
- [c2]Xiangjun Kong, Bilal Ahmad, Robert Harrison, Young Saeng Park, Leslie J. Lee:
Direct deployment of component-based automation systems. ETFA 2012: 1-4 - 2011
- [j1]Yonggang Ren, Bin Wu, Yuzhu Pan, Fenglin Lv, Xiangjun Kong, Xiaoli Luo, Yuanchao Li, Qingwu Yang:
Characterization of the binding profile of peptide to transporter associated with antigen processing (TAP) using Gaussian process regression. Comput. Biol. Medicine 41(9): 865-870 (2011)
2000 – 2009
- 2008
- [c1]Shaomin Zhang, Xiangjun Kong, Baoyi Wang:
Study on Role-Spliting and Its Ontology-Based Evaluation Methods during Role Mapping of Inter-domain. CSSE (3) 2008: 642-645
Coauthor Index
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