| A survey of quantization methods for efficient neural network inference A Gholami*, S Kim*, Z Dong*, Z Yao*, MW Mahoney, K Keutzer Book of Low-Power Computer Vision, 291-326, 2022 | 647 | 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 | 440 | 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 | 395 | 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 | 339 | 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 | 204 | 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 | 163 | 2021 |
| A survey of quantization methods for efficient neural network inference. arXiv 2021 A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer arXiv preprint arXiv:2103.13630, 2021 | 67* | 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 | 48 | 2022 |
| CoDeNet: Algorithm-hardware Co-design for Deformable Convolution Z Dong*, D Wang*, Q Huang*, Y Gao, Y Cai, B Wu, K Keutzer, ... International Symposium on Field-Programmable Gate Arrays (FPGA), 2021, 2020 | 46* | 2020 |
| 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 | 43 | 2022 |
| 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 | 42 | 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 | 39 | 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 | 37 | 2021 |
| A survey of quantization methods for efficient neural network inference (2021) A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer arXiv preprint arXiv:2103.13630 581, 2021 | 35 | 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 | 32 | 2021 |
| Berkeley deep drive reports of Mahoney Michael and Keutzer Kurt Z Dong, Z Yao, A Gholami | 31* | 2019 |
| RTN based oxygen vacancy probing method for Ox-RRAM reliability characterization and its application in tail bits P Huang, DB Zhu, C Liu, Z Zhou, Z Dong, H Jiang, WS Shen, LF Liu, ... IEEE International Electron Devices Meeting (IEDM), 2018, 2018 | 27 | 2018 |
| 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 | 19 | 2023 |
| The characteristics of binary spike-time-dependent plasticity in HfO2-based RRAM and applications for pattern recognition Z Zhou, C Liu, W Shen, Z Dong, Z Chen, P Huang, L Liu, X Liu, J Kang Nanoscale Research Letters, 2018, 2018 | 18 | 2018 |
| Binary resistive-switching-device-based electronic synapse with spike-rate-dependent plasticity for online learning P Huang, Z Li, Z Dong, R Han, Z Zhou, D Zhu, L Liu, X Liu, J Kang ACS Applied Electronic Materials, 2019, 2019 | 17 | 2019 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
