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Toward Metrics of Design Automation Research Impact.

, , , , , и . ICCAD, стр. 263-270. IEEE, (2015)

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Junfeng Luo

Liangping Luo

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Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations., , , , и . IEEE Des. Test, 37 (5): 75-84 (2020)Toward Metrics of Design Automation Research Impact., , , , , и . ICCAD, стр. 263-270. IEEE, (2015)AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks., , , , , , , , и . HPCA, стр. 317-332. IEEE, (2023)Delay uncertainty and signal criticality driven routing channel optimization for advanced DRAM products., , , и . ASP-DAC, стр. 697-704. IEEE, (2016)Investigation on NBTI-induced dynamic variability in nanoscale CMOS devices: Modeling, experimental evidence, and impact on circuits., , , , , , , и . Microelectron. Reliab., (2018)Accelerating Path Planning for Autonomous Driving with Hardware-Assisted Memoization., и . CoRR, (2022)MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection., , , , , , , , , и . ICLR, OpenReview.net, (2023)An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations., , , и . ICCAD, стр. 945-950. IEEE, (2017)AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks., , , , , , , , и . CoRR, (2022)Accelerating Path Planning for Autonomous Driving with Hardware-Assisted Memorization., и . ASAP, стр. 126-130. IEEE, (2022)