Yao, Zhewei

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

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Shen, S., Dong, Z., Ye, J., Ma, L., Yao, Z., Gholami, A., Mahoney, M. W., & Keutzer, K. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsTopic Modeling

Cited by 437

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

AI and Memory Wall

Gholami, A., Yao, Z., Kim, S., Hooper, C., Mahoney, M. W., & Keutzer, K. (2024) · IEEE Micro

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 369

I-BERT: Integer-only BERT Quantization

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

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 186

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

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

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration

Deng, M., Ramachandran, A., Xu, C., Hu, L., Yao, Z., Datta, A., & Zhang, H. (2025) · arXiv

Natural Language Processing TechniquesAdvanced Database Systems and Queries

Cited by 11

Optimizing Reasoning for Text-to-SQL with Execution Feedback

Zhai, B., Xu, C., He, Y., & Yao, Z. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 8