| 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 | 1451 | 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, ... Conference on Artificial Intelligence (AAAI), 2020, 2020 | 633 | 2020 |
| Hawq: Hessian aware quantization of neural networks with mixed-precision Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer International Conference on Computer Vision (ICCV), 2019, 2019 | 602 | 2019 |
| Zeroq: A novel zero shot quantization framework Y Cai*, Z Yao*, Z Dong*, A Gholami, MW Mahoney, K Keutzer Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 496 | 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 (NeurIPS), 2020, 2020 | 323 | 2020 |
| 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 (ICML), 2021, 2021 | 292 | 2021 |
| SqueezeLLM: Dense-and-sparse quantization S Kim, C Hooper, A Gholami, Z Dong, X Li, S Shen, MW Mahoney, ... International Conference on Machine Learning (ICML), 2024, 2023 | 202 | 2023 |
| Q-diffusion: Quantizing diffusion models X Li, Y Liu, L Lian, H Yang, Z Dong, D Kang, S Zhang, K Keutzer International Conference on Computer Vision (ICCV), 2023, 2023 | 180 | 2023 |
| LLM inference unveiled: survey and roofline model insights Z Yuan, Y Shang, Y Zhou, Z Dong, C Xue, B Wu, Z Li, Q Gu, YJ Lee, ... arXiv preprint arXiv:2402.16363, 2024 | 79 | 2024 |
| Applications and techniques for fast machine learning in science AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ... Frontiers in Big Data, 2022, 2022 | 71 | 2022 |
| Codenet: Efficient deployment of input-adaptive object detection on embedded fpgas Z Dong*, D Wang*, Q Huang*, Y Gao, Y Cai, T Li, B Wu, K Keutzer, ... International Symposium on Field-Programmable Gate Arrays (FPGA), 2021, 2021 | 68 | 2021 |
| Hessian-aware pruning and optimal neural implant S Yu, Z Yao, A Gholami, Z Dong, S Kim, MW Mahoney, K Keutzer Winter Conference on Applications of Computer Vision (WACV), 2022, 2022 | 65 | 2022 |
| PB-LLM: Partially binarized large language models Y Shang, Z Yuan, Q Wu, Z Dong International Conference on Learning Representations (ICLR), 2024, 2024 | 61 | 2024 |
| NoisyQuant: Noisy bias-enhanced post-training activation quantization for vision transformers Y Liu, H Yang, Z Dong, K Keutzer, L Du, S Zhang Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 59 | 2023 |
| A novel convolution computing paradigm based on NOR flash array with high computing speed and energy efficiency R Han, P Huang, Y Xiang, C Liu, Z Dong, Z Su, Y Liu, L Liu, X Liu, J Kang IEEE Transactions on Circuits and Systems (TCAS), 2019, 2019 | 59 | 2019 |
| Convolutional neural networks based on RRAM devices for image recognition and online learning tasks Z Dong, Z Zhou, Z Li, C Liu, P Huang, L Liu, X Liu, J Kang IEEE Transactions on Electron Devices (TED), 2018, 2018 | 50 | 2018 |
| Hao: Hardware-aware neural architecture optimization for efficient inference Z Dong, Y Gao, Q Huang, J Wawrzynek, HKH So, K Keutzer Field-Programmable Custom Computing Machines (FCCM), 2021, 2021 | 49 | 2021 |
| A survey of quantization methods for efficient neural network inference. arXiv preprint A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer | 48* | 2021 |
| Cross-domain sentiment classification with contrastive learning and mutual information maximization T Li, X Chen, S Zhang, Z Dong, K Keutzer International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2021 | 43 | 2021 |
| Magic: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration L Xu, Z Hu, D Zhou*, H Ren, Z Dong*, K Keutzer, SK Ng, J Feng Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, 2024 | 41* | 2024 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
