Mao, Huizi

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Han, S., Mao, H., & Dally, W. J. (2015) · arXiv

Advanced Neural Network ApplicationsAdvanced Data Compression Techniques

Cited by 4,662

EIE: efficient inference engine on compressed deep neural network

Han, S., Liu, X., Mao, H., Pu, J., Pedram, A., Horowitz, M. A., & Dally, W. J. (2016) · ACM SIGARCH Computer Architecture News

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 1,937

Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation

Liu, Z., Tang, H., Amini, A., Yang, X., Mao, H., Rus, D. L., & Han, S. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 1,307

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Lin, Y., Han, S., Mao, H., Wang, Y., & Dally, W. J. (2017) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 1,134

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Han, S., Liu, X., Mao, H., Pu, J., Pedram, A., Horowitz, M. A., & Dally, W. J. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 1,077

Trained Ternary Quantization

Zhu, C., Han, S., Mao, H., & Dally, W. J. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 865

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA

Han, S., Kang, J., Mao, H., Hu, Y., Li, X., Li, Y., Xie, D., Luo, H., Yao, S., Wang, Y., et al. (2017) · Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 591

Exploring the Regularity of Sparse Structure in Convolutional Neural Networks

Mao, H., Han, S., Pool, J., Li, W., Liu, X., Wang, Y., & Dally, W. J. (2017) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 219

Towards Real-Time Object Detection on Embedded Systems

Mao, H., Yao, S., Tang, T., Li, B., Yao, J., & Wang, Y. (2018) · IEEE Transactions on Emerging Topics in Computing

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 94