Zhewei Yao
Zhewei Yao
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A survey of quantization methods for efficient neural network inference
A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer
Low-Power Computer Vision, 291-326, 2022
Q-bert: Hessian based ultra low precision quantization of bert
S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020
Hawq: Hessian aware quantization of neural networks with mixed-precision
Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF international conference on computer vision, 293-302, 2019
Zeroq: A novel zero shot quantization framework
Y Cai, Z Yao, Z Dong, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
How much can clip benefit vision-and-language tasks?
S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ...
arXiv preprint arXiv:2107.06383, 2021
I-bert: Integer-only bert quantization
S Kim, A Gholami, Z Yao, MW Mahoney, K Keutzer
International conference on machine learning, 5506-5518, 2021
Pyhessian: Neural networks through the lens of the hessian
Z Yao, A Gholami, K Keutzer, MW Mahoney
2020 IEEE international conference on big data (Big data), 581-590, 2020
Hawq-v2: Hessian aware trace-weighted quantization of neural networks
Z Dong, Z Yao, D Arfeen, A Gholami, MW Mahoney, K Keutzer
Advances in neural information processing systems 33, 18518-18529, 2020
Zeroquant: Efficient and affordable post-training quantization for large-scale transformers
Z Yao, R Yazdani Aminabadi, M Zhang, X Wu, C Li, Y He
Advances in Neural Information Processing Systems 35, 27168-27183, 2022
Adahessian: An adaptive second order optimizer for machine learning
Z Yao, A Gholami, S Shen, M Mustafa, K Keutzer, M Mahoney
proceedings of the AAAI conference on artificial intelligence 35 (12), 10665 …, 2021
Hawq-v3: Dyadic neural network quantization
Z Yao, Z Dong, Z Zheng, A Gholami, J Yu, E Tan, L Wang, Q Huang, ...
International Conference on Machine Learning, 11875-11886, 2021
Shallow neural networks for fluid flow reconstruction with limited sensors
NB Erichson, L Mathelin, Z Yao, SL Brunton, MW Mahoney, JN Kutz
Proceedings of the Royal Society A 476 (2238), 20200097, 2020
Deepspeed-moe: Advancing mixture-of-experts inference and training to power next-generation ai scale
S Rajbhandari, C Li, Z Yao, M Zhang, RY Aminabadi, AA Awan, J Rasley, ...
International conference on machine learning, 18332-18346, 2022
Hessian-based analysis of large batch training and robustness to adversaries
Z Yao, A Gholami, Q Lei, K Keutzer, MW Mahoney
Advances in Neural Information Processing Systems 31, 2018
ANODEV2: A coupled neural ODE framework
T Zhang, Z Yao, A Gholami, JE Gonzalez, K Keutzer, MW Mahoney, ...
Advances in Neural Information Processing Systems 32, 2019
Powernorm: Rethinking batch normalization in transformers
S Shen, Z Yao, A Gholami, M Mahoney, K Keutzer
International conference on machine learning, 8741-8751, 2020
On the computational inefficiency of large batch sizes for stochastic gradient descent
N Golmant, N Vemuri, Z Yao, V Feinberg, A Gholami, K Rothauge, ...
arXiv preprint arXiv:1811.12941, 2018
Improving semi-supervised federated learning by reducing the gradient diversity of models
Z Zhang, Y Yang, Z Yao, Y Yan, JE Gonzalez, K Ramchandran, ...
2021 IEEE International Conference on Big Data (Big Data), 1214-1225, 2021
Trust region based adversarial attack on neural networks
Z Yao, A Gholami, P Xu, K Keutzer, MW Mahoney
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Inexact nonconvex newton-type methods
Z Yao, P Xu, F Roosta, MW Mahoney
INFORMS Journal on Optimization 3 (2), 154-182, 2021
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