An abnormal detection method of enterprise financial accounting data based on Bayesian network.

Baoyuan Liu

Baoyuan Liu An abnormal detection method of enterprise financial accounting data based on Bayesian network. 1-10 2026 18 Int. J. Reason. based Intell. Syst. 1 https://doi.org/10.1504/IJRIS.2026.150611 db/journals/ijris/ijris18.html#Liu26 streams/journals/ijris

Baoyuan Liu Bin Guo Underwater Image Enhancement Using a U-Net Enhanced GAN with Multi-Scale Feature Fusion and Channel-Spatial Attention. 2026 50 Informatica (Slovenia) 7 https://doi.org/10.31449/inf.v50i7.10740 db/journals/informaticaSI/informaticaSI50.html#LiuG26 streams/journals/informaticaSI

Jie He Du Lyu Liang He Yujie Zhang Xiaoming Xu Haijie Yi Qilong Tian Baoyuan Liu Xiaoping Zhang Combining Object-Oriented and Deep Learning Methods to Estimate Photosynthetic and Non-Photosynthetic Vegetation Cover in the Desert from Unmanned Aerial Vehicle Images with Consideration of Shadows. 105 2023 January 15 Remote. Sens. 1 https://doi.org/10.3390/rs15010105 https://www.wikidata.org/entity/Q122225373 db/journals/remotesensing/remotesensing15.html#HeLHZXYTLZ23

Bing Yin Yun Xie Bing Liu Baoyuan Liu Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole. 5267 2023 November 15 Remote. Sens. 22 https://doi.org/10.3390/rs15225267 db/journals/remotesensing/remotesensing15.html#YinXLL23

Du Lyu Baoyuan Liu Xiaoping Zhang Xihua Yang Liang He Jie He Jinwei Guo Jufeng Wang Qi Cao An Experimental Study on Field Spectral Measurements to Determine Appropriate Daily Time for Distinguishing Fractional Vegetation Cover. 2942 2020 12 Remote. Sens. 18 https://doi.org/10.3390/rs12182942 db/journals/remotesensing/remotesensing12.html#LyuLZYHHGWC20

Min Wang Baoyuan Liu Hassan Foroosh Wide Hidden Expansion Layer for Deep Convolutional Neural Networks. 923-931 2020 WACV https://doi.org/10.1109/WACV45572.2020.9093436 conf/wacv/2020 db/conf/wacv/wacv2020.html#WangLF20 Min Wang Baoyuan Liu Hassan Foroosh Look-Up Table Unit Activation Function for Deep Convolutional Neural Networks. 1225-1233 2018 WACV https://doi.org/10.1109/WACV.2018.00139 https://doi.ieeecomputersociety.org/10.1109/WACV.2018.00139 conf/wacv/2018 db/conf/wacv/wacv2018.html#WangLF18 Min Wang Baoyuan Liu Hassan Foroosh Factorized Convolutional Neural Networks. 545-553 2017 ICCV Workshops https://doi.org/10.1109/ICCVW.2017.71 https://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.71 conf/iccvw/2017 db/conf/iccvw/iccvw2017.html#WangLF17

Min Wang Baoyuan Liu Hassan Foroosh Factorized Convolutional Neural Networks. 2016 abs/1608.04337 CoRR http://arxiv.org/abs/1608.04337 db/journals/corr/corr1608.html#WangLF16b

Baoyuan Liu Min Wang Hassan Foroosh Marshall F. Tappen Marianna Pensky Sparse Convolutional Neural Networks. 806-814 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298681 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298681 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#LiuWFTP15 Hakan Boyraz Syed Zain Masood Baoyuan Liu Marshall F. Tappen Hassan Foroosh Action Recognition by Weakly-Supervised Discriminative Region Localization. 2014 BMVC https://bmva-archive.org.uk/bmvc/2014/papers/paper108/index.html conf/bmvc/2014 db/conf/bmvc/bmvc2014.html#BoyrazMLTF14 Baoyuan Liu Fereshteh Sadeghi Marshall F. Tappen Ohad Shamir Ce Liu 0001 Probabilistic Label Trees for Efficient Large Scale Image Classification. 843-850 2013 CVPR https://doi.org/10.1109/CVPR.2013.114 https://doi.ieeecomputersociety.org/10.1109/CVPR.2013.114 conf/cvpr/2013 db/conf/cvpr/cvpr2013.html#LiuSTSL13 Baoyuan Liu Entwicklung einer Methode zur automatischen 2D/3D-Produktmodellwandlung. 1994 1-240 Shaker Karlsruhe Institute of Technology, Germany 978-3-86111-933-3 https://d-nb.info/941268624 Hakan Boyraz Qi Cao Hassan Foroosh Bin Guo Jinwei Guo Jie He Liang He Bing Liu Ce Liu 0001 Du Lyu Syed Zain Masood Marianna Pensky Fereshteh Sadeghi Ohad Shamir Marshall F. Tappen Qilong Tian Jufeng Wang Min Wang Yun Xie Xiaoming Xu Xihua Yang Haijie Yi Bing Yin Xiaoping Zhang Yujie Zhang