| 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 |
