Study on Role-Spliting and Its Ontology-Based Evaluation Methods during Role Mapping of Inter-domain. - Shaomin Zhang; Xiangjun Kong; Baoyi Wang (CSSE (3), 2008)

Characterization of the binding profile of peptide to transporter associated with antigen processing (TAP) using Gaussian process regression. - Yonggang Ren; Bin Wu; Yuzhu Pan; Fenglin Lv 002; Xiangjun Kong; Xiaoli Luo; Yuanchao Li; Qingwu Yang (Comput. Biol. Medicine, 2011)

Direct deployment of component-based automation systems. - Xiangjun Kong; Bilal Ahmad; Robert Harrison; Young Saeng Park; Leslie J. Lee (ETFA, 2012)

Automatic generation of Human Machine Interface screens from component-based reconfigurable virtual manufacturing cell. - Bilal Ahmad; Xiangjun Kong; Robert Harrison; Johannes Watermann; Armando Walter Colombo (IECON, 2013)

Analysis of miRNA Functional Synergistic Network in Breast Cancer. - Xiaomei Geng; Xiangjun Kong; Qilong Chen; Shibing Su; Yuanjia Hu (ICBBS, 2017)

Speckle Noise Removal Based on Adaptive Total Variation Model. - Bo Chen 004; Jinbin Zou; Wensheng Chen; Xiangjun Kong; Jianhua Ma 001; Feng Li (PRCV (1), 2018)

Adaptive Channel Attention-Based Deformable Generative Adversarial Network for Underwater Image Enhancement. - Tingkai Chen; Ning Wang 002; Xiangjun Kong; Yanzheng Chen (S-CUBE, 2022)

Coordinate Attention and Transformer Neck-Based Marine Organism Detection. - Xiangjun Kong; Ning Wang 002; Tingkai Chen; Yanzheng Chen (S-CUBE, 2022)

Formal Representation of Trusted Meta-requirements. - Xiangjun Kong; Xuejun Yu 003 (SMC, 2022)

Pinball loss support vector data description for outlier detection. - Guangzheng Zhong; Yanshan Xiao; Bo Liu 002; Liang Zhao; Xiangjun Kong (Appl. Intell., 2022)

Multi-view support vector ordinal regression with data uncertainty. - Yanshan Xiao; Xi Li; Bo Liu 002; Liang Zhao; Xiangjun Kong; Adi Alhudhaif; Fayadh Alenezi (Inf. Sci., 2022)

Multi-task manifold learning for partial label learning. - Liang Zhao; Yanshan Xiao; Kairun Wen; Bo Liu 002; Xiangjun Kong (Inf. Sci., 2022)

Study on the Reference Architecture and Multi-Dimensional Fusion Framework of Production Equipment Models. - Jun Li 050; Yong Zhou 007; Xin Liu; Jinsong Liu; Qing Li 010; Xiangjun Kong; Guankai Niu (ICCMS, 2023)

Privileged information learning with weak labels. - Yanshan Xiao; Zexin Ye; Liang Zhao; Xiangjun Kong; Bo Liu 002; Kemal Polat; Adi Alhudhaif (Appl. Soft Comput., 2023)

Semantic attention and relative scene depth-guided network for underwater image enhancement. - Tingkai Chen; Ning Wang 002; Yanzheng Chen; Xiangjun Kong; Yejin Lin; Hong Zhao; Hamid Reza Karimi (Eng. Appl. Artif. Intell., 2023)

Underwater Attentional Generative Adversarial Networks for Image Enhancement. - Ning Wang 002; Tingkai Chen; Xiangjun Kong; Yanzheng Chen; Rongfeng Wang; Yongjun Gong; Shiji Song (IEEE Trans. Hum. Mach. Syst., 2023)

A least squares twin support vector machine method with uncertain data. - Yanshan Xiao; Jinneng Liu; Kairun Wen; Bo Liu 002; Liang Zhao; Xiangjun Kong (Appl. Intell., 2023)

Multi-task ordinal regression with task weight discovery. - Yanshan Xiao; Mengyue Zeng; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Knowl. Based Syst., 2024)

A new multi-view multi-label model with privileged information learning. - Yanshan Xiao; Junfeng Chen; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Inf. Sci., 2024)

Privileged multi-view one-class support vector machine. - Yanshan Xiao; Guitao Pan; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (Neurocomputing, 2024)

Multi-View Maximum Margin Clustering With Privileged Information Learning. - Yanshan Xiao; Jianwei Zhang; Bo Liu 002; Liang Zhao; Xiangjun Kong; Zhifeng Hao (IEEE Trans. Circuits Syst. Video Technol., 2024)

Ordinal Regression With Pinball Loss. - Guangzheng Zhong; Yanshan Xiao; Bo Liu 002; Liang Zhao; Xiangjun Kong (IEEE Trans. Neural Networks Learn. Syst., 2024)