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AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
Improving efficiency in neural network accelerator using operands hamming distance optimization
Meng Li, Yilei Li, Vikas Chandra
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
TimingSAT: Decamouflaging timing-based logic obfuscation
Meng Li, Kaveh Shamsi, Yier Jin, David Z Pan
A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion
Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan
Provably secure camouflaging strategy for IC protection
Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z Pan
Cross-level monte carlo framework for system vulnerability evaluation against fault attack
Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan
AppSAT: Approximately Deobfuscating Integrated Circuits
Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z Pan, Yier Jin
A monte carlo simulation flow for seu analysis of sequential circuits
Meng Li, Ye Wang, Michael Orshansky
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