Latency-constrained DNN architecture learning for edge systems using zerorized batch normalizationShuo Huai, Qian Lin, Di Liu et al.|Future Generation Computer Systems|2022Cited by 8
CRIMP: <u>C</u> ompact & <u>R</u> eliable DNN Inference on <u>I</u> n- <u>M</u> emory <u>P</u> rocessing via Crossbar-Aligned Compression and Non-ideality AdaptationShuo Huai, Weichen Liu, Hao Kong et al.|ACM Transactions on Embedded Computing Systems|2023Cited by 6
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAIHao Kong, Weichen Liu, Di Liu et al.|IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems|2023Cited by 6
On Hardware-Aware Design and Optimization of Edge IntelligenceShuo Huai, Weichen Liu, Hao Kong et al.|IEEE Design and Test|2023Cited by 2
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional PruningHao Kong, Weichen Liu, Ravi Subramaniam et al.|Unknown|2023Cited by 2