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成果统计

合作作者[TOP 5]

  • 周平强

    合作成果数：17

  • 周巾栋

    合作成果数：7

  • 娄鑫

    合作成果数：6

  • 虞晶怡

    合作成果数：6

  • 饶朝林

    合作成果数：6
马郁 博士生
所在学院： 信息科学与技术学院
职务： --
研究方向：
备注： --
马郁

科研成果

17 5882 12 114 0 3
Items Views Downloads TC[WOS] TC[CSCD] H-index
排序方式：
 [1] Li, Ziwen,Ma, Yu,Zhou, Jindong,&Zhou, Pingqiang.(2024).Spiking-NeRF: Spiking Neural Network for Energy-Efficient Neural Rendering.ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS,20(3).浏览/下载:249/3; 被引[WOS]:1; IF:2.1/2.1评论推荐收藏
 [2] 马郁,周巾栋,吴旻烨,等. 图像渲染系统和方法. 2024-05-28.浏览/下载:333/2评论推荐收藏
 [3] 饶朝林,周巾栋,马郁,等. 精简近似的基于共享的单输入多权重乘法器. 2023-10-13.浏览/下载:364/1评论推荐收藏
 [4] Ma Yu,Zhou Jindong,Wu Minye,等. 用于图像渲染的系统和方法. 2023-05-04.浏览/下载:357/0评论推荐收藏
 [5] Yuanchen Qu,Yu Ma,Pingqiang Zhou. A Speed- And Energy-driven Holistic Training Framework For Sparse Cnn Accelerators[C]. 2023 Design, Automation And Test In Europe Conference (date).Institute Of Electrical And Electronics Engineers Inc.2023-04-01.浏览/下载:296/2; 被引[WOS]:1评论推荐收藏
 [6] Ma, Yu,Zheng, Linfeng,&Zhou, Pingqiang.(2023).A Mapping Method Tolerating SAF and Variation for Memristor Crossbar Array Based Neural Network Inference on Edge Devices.ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS,19(2).浏览/下载:284/1; 被引[WOS]:2; IF:2.1/2.1评论推荐收藏
 [7] Li, Ziwen,Ma, Yu,Zhou, Pingqiang. A Hybrid Training Framework For Speeding Up The Inference Process Of Spiking Neural Networks[C]. 2023 China Semiconductor Technology International Conference, Cstic 2023.Institute Of Electrical And Electronics Engineers Inc.2023-01-01.浏览/下载:213/1; 被引[WOS]:0评论推荐收藏
 [8] Rao, Chaolin.,Yu, Huangjie.,Wan, Haochuan.,Zhou, Jindong.,Zheng, Yueyang.,...&Yu, Jingyi.(2022).ICARUS: A Specialized Architecture for Neural Radiance Fields Rendering.ACM TRANSACTIONS ON GRAPHICS,41(6).浏览/下载:768/0; 被引[WOS]:23; IF:7.8/9.5评论推荐收藏
 [9] Rao Chaolin,Zhou Jindong,Ma Yu,et al. Reduced Approximation Sharing-based Single-input Multi-weights Multiplier. 2022-09-29.浏览/下载:304/0评论推荐收藏
 [10] Rao, Chaolin,Yu, Huangjie,Wan, Haochuan,et al. ICARUS: A Specialized Architecture for Neural Radiance Field Rendering. 2022.浏览/下载:259/0; 被引[WOS]:0评论推荐收藏