代表性论文
共计11篇:第一作者8篇(IEEE Transactions 4篇,顶级会议3篇,CCF A类4篇),通讯作者3篇。
第一作者(共计7篇)
[1] Hang Lu (路航), Mingzhe Zhang, Yinhe Han, Qi Wang, Huawei Li and Xiaowei Li, “Architecting Effectual Computation for Machine Learning Accelerators”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A类), accepted
[2] Ning Lin, Hang Lu (路航,共1作,通讯), Xin Wei and Xiaowei Li, “HeadStart: Enforce Optimal Inceptions in Pruning Deep Convolutional Neural Networks for Efficient Inference on GPGPUs”, IEEE/ACM 56th International Design Automation Conference (DAC, CCF A类), 2019
[3] Hang Lu (路航), Yisong Chang, Ning Lin, Xin Wei, Guihai Yan and Xiaowei Li, “ShuttleNoC: Power-Adaptable Communication Infrastructure for Many-core Processors”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, CCF A类), 2019
[4] Hang Lu (路航), Xin Wei, Ning Lin, Guihai Yan, Xiaowei Li, “Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators”, the 37th International Conference on Computer-Aided Design (ICCAD, CCF B类), 2018
[5] Hang Lu (路航), Guihai Yan, Yinhe Han and Xiaowei Li, “PowerTrader: Enforcing Autonomous Power Management for Large-scale Many-core Processors”, IEEE Transactions on Multi-scale Computing Systems (TMSCS), 2017
[6] Hang Lu (路航), Binzhang Fu, Ying Wang, Yinhe Han, Guihai Yan and Xiaowei Li, “RISO: Enforce Non-interfered Performance with Relaxed Network-on-Chip Isolation in Manycore Cloud Processors”, in IEEE Transactions on Very Large Scale Integration Systems (TVLSI, CCF B类), 2015
[7] Hang Lu (路航), Guihai Yan, Yinhe Han, Ying Wang and Xiaowei Li, “ShuttleNoC: Boosting On-chip Communication Efficiency Through Localized Power Adaptation”, the 20th Asia and South Pacific Design Automation Conference (ASPDAC, CCF C类,“最佳论文奖”提名), 2015
[8] Hang Lu (路航), Guihai Yan, Yinhe Han, Binzhang Fu and Xiaowei Li, “RISO: Relaxed Networks-on-Chip Isolation for Cloud Processors”, the 50th International Design Automation Conference (DAC, CCF A类), 2013
通讯作者(共计3篇)
[9] Ning Lin, Hang Lu (路航), Xin Wei and Xiaowei Li, “When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices”, International Conference on Computer Design (ICCD, CCF B类), 2019. Accepted.
[10] Ning Lin, Hang Lu (路航) and Xiaowei Li, “VNet: A Versatile Deep Neural Network Model for Efficient Semantic Segmentation”, International Conference on Computer Design (ICCD, CCF B类), 2019. Accepted.
[11] Ning Lin, Hang Lu (路航), Xin Wei and Xiaowei Li, “Redeeming Chip-level Power Efficiency by Collaborative Management of the Computation and Communication”, the 24th Asia and South Pacific Design Automation Conference (ASPDAC, CCF C类), 2018
发明专利
授权发明专利(国际发明专利,第一发明人2项)
[1] 路航,付斌章,韩银和,李晓维,“Allocating threads on a non-rectangular area on a NoC based on predicted traffic of a smallest rectangular area”,国际发明专利,授权国家:美国US9965335B2
[2] 路航,付斌章,韩银和,李晓维,“Task allocation method, task allocation apparatus, and network-on-chip”,国际发明专利,授权国家:日本JP6094005B2,韩国KR101729596B1,中国CN104156267B
受理发明专利(中国发明专利,共计3项)
[1] 李晓维,魏鑫,路航,“一种权重捏合的卷积神经网络计算方法与系统”,中国,201811214323.5,2018-10-19
[2] 李晓维,魏鑫,路航,“一种卷积神经网络加速器的拆分累加器”,中国,201811214639.4,2018-10-19
[3] 李晓维,魏鑫,路航,“权重捏合神经网络加速器架构设计”,中国,201811214310.8,2018-10-19
译著
[1] 鄢贵海、叶靖、王颖、路航、卢文岩、李家军、吴靖雅 译,Yu-Ting Chen, Jason Cong, Michael Gill, Glenn Reinman, Bingjun Xiao 著,“可定制计算,”机械工业出版社,2018
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