郭晋阳 - 北京航空航天大学

个人简介

郭晋阳，博士，北京航空航天大学人工智能研究院助理教授。2017年取得澳大利亚新南威尔士大学电气工程专业学士学位（一等荣誉），2022年取得澳大利亚悉尼大学博士学位。主要研究方向为深度学习及其模型轻量化，致力于研究高效的深度学习系统与算法，探索基于边缘设备的深度学习框架与应用。已在国际权威学术期刊和顶级会议等发表论文10余篇。担任TPAMI、IJCV等国际顶级期刊审稿人与CVPR、ICCV等国际顶级会议程序委员会委员。获得ICCV Doctoral Consortium、悉尼大学全额奖学金等荣誉。作为主持人负责科技部“新一代人工智能”重大项目子课题等多个重点项目。研究成果被如普林斯顿大学等多所世界知名大学与机构关注，并被人工智能公开课平台“智东西公开课”专门报道。相关技术已在港中文-商汤Open-MM、亚马逊DGL等多个开放平台中集成验证，并在商汤等企业业务场景中上线应用。 Awards The University of Sydney International Scholarship Engineering and Information Technologies Research Scholarship Postgraduate Research Supplementary Scholarship in Automatic Video Annotation Dean's Award List (top 5%) from 2014 to 2017

近期论文

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[TIP'23] CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network Jinyang Guo, Dong Xu, and Guo Lu IEEE Transactions on Image Processing (TIP), 2023. [TNNLS'23] Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression Jinyang Guo, Dong Xu, and Wanli Ouyang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [TIP'22] APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition Jiaheng Liu*, Jinyang Guo*, and Dong Xu IEEE Transactions on Image Processing (TIP), 2022. [TCSVT'22] 3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition Jinyang Guo*, Jiaheng Liu* and Dong Xu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. [TCSVT'21] JointPruning: Pruning Networks along Multiple Dimensions for Efficient Point Cloud Processing Jinyang Guo, Jiaheng Liu and Dong Xu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. [TCSVT'21] Model Compression using Progressive Channel Pruning Jinyang Guo, Weichen Zhang, Wanli Ouyang and Dong Xu IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. [CVPR'20] Multi-Dimensional Pruning: A Unified Framework for Model Compression Jinyang Guo, Wanli Ouyang and Dong Xu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral, Acceptance rate: 5%) [AAAI'20] Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo, Wanli Ouyang and Dong Xu Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.