Learning Dynamic Bayesian Networks Structure Based on Bayesian Optimization Algorithm. - Song Gao; Qinkun Xiao; Quan Pan 001; Qingguo Li (ISNN (2), 2007)

3D object retrieval based on a graph model descriptor. - Qinkun Xiao; Haiyun Wang; Fei Li; Yue Gao (Neurocomputing, 2011)

Motion retrieval based on Switching Kalman Filters Model. - Qinkun Xiao; Yichuang Luo; Haiyun Wang (Multim. Tools Appl., 2014)

Motion retrieval using weighted graph matching. - Qinkun Xiao; Yi Wang; Haiyun Wang (Soft Comput., 2015)

Motion Retrieval Based on Semantic Code and Dynamic Bayesian Network Inference. - Qinkun Xiao; Kin Fun Li; Ren Song (CISIS, 2016)

Action Recognition Based on Graph Model Inference. - Qinkun Xiao; Yidan Zhao (ISCID (2), 2017)

Human Motion Retrieval Based on Feedback Learning. - Qinkun Xiao; Yidan Zhao; Kin Fun Li (ISCID (2), 2017)

Recurrent neural network system using probability graph model optimization. - Qinkun Xiao (Appl. Intell., 2017)

Motion retrieval based on Dynamic Bayesian Network and Canonical Time Warping. - Qinkun Xiao; Siqi Liu (Soft Comput., 2017)

Motion retrieval based on Motion Semantic Dictionary and HMM inference. - Qinkun Xiao; Ren Song (Soft Comput., 2017)

Action recognition based on hierarchical dynamic Bayesian network. - Qinkun Xiao; Ren Song (Multim. Tools Appl., 2018)

A Dual-Band Balanced-to-Balanced Power Divider With High Selectivity and Wide Stopband. - Lei Chen 039; Feng Wei 003; Xing Yu Cheng; Qinkun Xiao (IEEE Access, 2019)

Multimodal Fusion Based on LSTM and a Couple Conditional Hidden Markov Model for Chinese Sign Language Recognition. - Qinkun Xiao; Minying Qin; Peng Guo; Yidan Zhao (IEEE Access, 2019)

Multi-sensor data fusion for sign language recognition based on dynamic Bayesian network and convolutional neural network. - Qinkun Xiao; Yidan Zhao; Wang Huan (Multim. Tools Appl., 2019)

Learning Bayesian Network Parameters With Small Data Set: A Parameter Extension under Constraints Method. - Yongyan Hou; Enrang Zheng; Wenqiang Guo; Qinkun Xiao; Ziwei Xu (IEEE Access, 2020)

Multi-Information Spatial-Temporal LSTM Fusion Continuous Sign Language Neural Machine Translation. - Qinkun Xiao; Xin Chang; Xue Zhang; Xing Liu (IEEE Access, 2020)

Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people. - Qinkun Xiao; Minying Qin; Yuting Yin (Neural Networks, 2020)

Stability Analysis of Two Kinds of Fractional-Order Neural Networks Based on Lyapunov Method. - Xin Chang; Qinkun Xiao; Yilin Zhu; Jielei Xiao (IEEE Access, 2021)

Recognition of Electromyographic Signal Time Series on Daily Hand Motions Based on Long Short-Term Memory Network. - Jin Hua; Qinkun Xiao; Li Wang; Yixin Liu; Xuhui Ning (Traitement du Signal, 2021)

Bearing Fault Diagnosis Under Small Data Set Condition: A Bayesian Network Method With Transfer Learning for Parameter Estimation. - Yongyan Hou; Ao Yang; Wenqiang Guo; Enrang Zheng; Qinkun Xiao; Zhigao Guo; Zixuan Huang (IEEE Access, 2022)

Multi-Modal Fusion Sign Language Recognition Based on Residual Network and Attention Mechanism. - Chaoqin Chu; Qinkun Xiao; Yinhuan Zhang; Xing Liu (Int. J. Pattern Recognit. Artif. Intell., 2022)

A Triple Unlocking Mechanism Model Against Forging Signature Attack Based on Multivariate Polynomial Public Key Cryptosystem. - Yongyan Hou; Baiyang Dong; Wenqiang Guo; Xin Wang 058; Qinkun Xiao (IEEE Access, 2023)

Multi-modal fusion method for human action recognition based on IALC. - Yinhuan Zhang; Qinkun Xiao; Xing Liu; Yongquan Wei; Chaoqin Chu; Jingyun Xue (IET Image Process., 2023)

EEG temporal information-based 1-D convolutional neural network for motor imagery classification. - Chaoqin Chu; Qinkun Xiao; Leran Chang; Jianing Shen; Na Zhang; Yu Du; Heng Xing; Hui Gao (Multim. Tools Appl., 2023)

A novel approach of decoding four-class motor imagery tasks via wavelet transform and 1DCNN-BiLSTM. - Chaoqin Chu; Qinkun Xiao; Jianing Shen; Leran Chang; Na Zhang; Yu Du; Hui Gao (Multim. Tools Appl., 2023)

SeqαGAN: Sign Language Sequence Generation Based on Variational and Adversarial Learning. - Qinkun Xiao; Lu Li; Yilin Zhu (IEEE Trans. Ind. Informatics, 2024)