| Q-bert: Hessian based ultra low precision quantization of bert S Shen*, Z Dong*, J Ye*, L Ma, Z Yao, A Gholami, MW Mahoney, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020 | 232 | 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 | 206 | 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 | 162 | 2020 |
| 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 2021, 2021 | 126 | 2021 |
| 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 | 91 | 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, 11875-11886, 2021 | 38 | 2021 |
| 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 I: Regular Papers 66 (5), 1692-1703, 2019 | 22 | 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 66 (1), 793-801, 2018 | 20 | 2018 |
| 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), 21.4. 1-21.4. 4, 2018 | 19 | 2018 |
| CoDeNet: Algorithm-hardware Co-design for Deformable Convolution Z Dong, D Wang, Q Huang, Y Gao, Y Cai, B Wu, K Keutzer, J Wawrzynek The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020 | 18* | 2020 |
| The characteristics of binary spike-time-dependent plasticity in HfO 2-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 12 (1), 1-5, 2018 | 14 | 2018 |
| Cross-domain sentiment classification with contrastive learning and mutual information maximization T Li, X Chen, S Zhang, Z Dong, K Keutzer ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 12 | 2021 |
| Hessian-aware pruning and optimal neural implant S Yu, Z Yao, A Gholami, Z Dong, S Kim, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 11 | 2022 |
| RRAM based convolutional neural networks for high accuracy pattern recognition and online learning tasks Z Dong, Z Zhou, ZF Li, C Liu, YN Jiang, P Huang, LF Liu, XY Liu, JF Kang Silicon Nanoelectronics Workshop (SNW), 145-146, 2018 | 11 | 2018 |
| A survey of quantization methods for efficient neural network inference A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer arXiv preprint arXiv:2103.13630, 2022 | 10 | 2022 |
| HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference Z Dong, Y Gao, Q Huang, J Wawrzynek, HKH So, K Keutzer 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021 | 9 | 2021 |
| 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 1 (6), 845-853, 2019 | 9 | 2019 |
| 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 5, 2022 | 6 | 2022 |
| Cross-domain sentiment classification with in-domain contrastive learning T Li, X Chen, S Zhang, Z Dong, K Keutzer arXiv preprint arXiv:2012.02943, 2020 | 4 | 2020 |
| Algorithm-hardware co-design for deformable convolution Q Huang, D Wang, Y Gao, Y Cai, Z Dong, B Wu, K Keutzer, J Wawrzynek 2019 NeurIPS Edition (EMC2-NIPS) Fifth Workshop on Energy Efficient Machine …, 2019 | 3 | 2019 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
