Dong, Zhen

A Survey of Quantization Methods for Efficient Neural Network Inference

Gholami, A., Kim, S., Dong, Z., Yao, Z., Mahoney, M. W., & Keutzer, K. (2022) · Low-Power Computer Vision

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 1,219

HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

Dong, Z., Yao, Z., Gholami, A., Mahoney, M., & Keutzer, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 492

Vehicle Type Classification Using a Semisupervised Convolutional Neural Network

Dong, Z., Wu, Y., Pei, M., & Jia, Y. (2015) · IEEE Transactions on Intelligent Transportation Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 387

ZeroQ: A Novel Zero Shot Quantization Framework

Cai, Y., Yao, Z., Dong, Z., Gholami, A., Mahoney, M. W., & Keutzer, K. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 381

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

Dong, Z., Yao, Z., Cai, Y., Arfeen, D., Gholami, A., Mahoney, M. W., & Keutzer, K. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 110

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers

Liu, Y., Yang, H., Dong, Z., Keutzer, K., Du, L., & Zhang, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 60

Hessian-Aware Pruning and Optimal Neural Implant

Yu, S., Yao, Z., Gholami, A., Dong, Z., Kim, S., Mahoney, M. W., & Keutzer, K. (2021) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 50