Hui YUAN
Professor
Hui Yuan (Senior Member, IEEE) received the B.E. and Ph.D. degrees in telecommunication engineering from Xidian University, Xi’an, China, in 2006 and 2011, respectively. In April 2011, he joined Shandong University, Ji’nan, China, as a Lecturer (April 2011–December 2014), an Associate Professor (January 2015-October 2016), and a Professor (September 2016). From January 2013 to December 2014, and from November 2017 to February 2018, he worke... More+
Paper Publications
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[1] 马昕. Adaptive Deconvolution-Based Stereo Matching Net for Local Stereo Matching. Applied Sciences-Basel, 12, 2022.
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[2] . CATFPN: Adaptive Feature Pyramid with Scale-Wise Concatenation and Self-Attention. IEEE Trans. Circuits Syst. Video Techn. , 2021.
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[3] 初彦翰. Neural Network-Based Reference Block Quality Enhancement for Motion Compensation Prediction. APPLIED SCIENCES-BASEL, 13, 2023.
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[4] 郭甜. Rate-distortion optimized quantization for geometry-based point cloud compression. Journal of Electronic Imaging, 32, 2023.
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[5] . PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling. IEEE Transactions on Image Processing, 31, 7389, 2022.
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[6] 黄文俊. Bayer图像的无损压缩算法及其硬件实现. 电子设计工程, 30, 183-188, 2022.
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[7] 刘强. A novel context inconsistency elimination algorithm based on the optimized Dempster-Shafer evidence theory for context-awareness systems. Applied Intelligence, 53, 15261, 2023.
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[8] 马昕. Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching. APPLIED SCIENCES-BASEL, 12, 2022.
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[9] 高艳博. Variable Rate Independently Recurrent Neural Network (IndRNN) for Action Recognition. Applied Sciences-Basel, 2022.
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[10] 元辉. Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP. IEEE Transactions on Mobile Computing, 54, 2334, 2018.
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[11] 刘祺. PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection. IEEETransactions on Circuits and Systems for Video Technology, 31, 4645, 2021.
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[12] 高艳博. A Deep Attention Model for Action Recognition from Skeleton Data. Applied Sciences-Basel, 12, 2022.
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[13] 姜威. 基于离散S变换和排列熵的癫痫脑电识别. 《生物医学工程学杂志》, 681, 2017.
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[14] 任艳楠. 采用几何复杂度的室外场景图像分割和深度生成. 信号处理, 531, 2018.
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[15] 许宏吉. Human Activity Recognition Based on Gramian Angular Field and Deep Convolutional Neural Network. IEEE Access, 199393, 2020.
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[16] 贾希彤. Macro-to-micro transformation model for micro-expression recognition. Journal of Computational Science, 289, 2018.
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[17] 刘昊. A Hybrid Compression Framework for Color Attributes of Static 3D Point Clouds. IEEETransactions on Circuits and Systems for Video Technology, 32, 1564, 2022.
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[18] 孙国霞. Adaptive Quantization for Predicting Transform-based Point Cloud Compression. 2021.
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[19] 元辉. Hybrid Distortion-Based Rate-Distortion Optimization and Rate Control for H.265/HEVC. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS Journal, 67, 97, 2021.
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[20] 刘祺. Reduced Reference Perceptual Quality Model With Application to Rate Control for Video-Based Point Cloud Compression. IEEE Transactions on Image Processing, 30, 6623, 2021.