Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization

by Huai, Shuo, Liu, Di, Kong, Hao, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

Collate: collaborative neural network learning for latency-critical edge systems

by Huai, Shuo, Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

EvoLP: self-evolving latency predictor for model compression in real-time edge systems

by Huai, Shuo, Kong, Hao, Li, Shiqing, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

CRIMP: compact & reliable DNN inference on in-memory processing via crossbar-aligned compression and non-ideality adaptation

by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Li, Shiqing, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

On hardware-aware design and optimization of edge intelligence

by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

Smart scissor: coupling spatial redundancy reduction and CNN compression for embedded hardware

by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
Published 2023

Towards efficient convolutional neural network for embedded hardware via multi-dimensional pruning

by Kong, Hao, Liu, Di, Luo, Xiangzhong, Huai, Shuo, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

EdgeCompress: coupling multi-dimensional model compression and dynamic inference for EdgeAI

by Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

EMNAPE: efficient multi-dimensional neural architecture pruning for EdgeAI

by Kong, Hao, Luo, Xiangzhong, Huai, Shuo, Liu, Di, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023